201
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Ge Y, Shao Y, Wu S, Liu P, Li J, Qin H, Zhang Y, Xue XS, Chen Y. Distal Amidoketone Synthesis Enabled by Dimethyl Benziodoxoles via Dual Copper/Photoredox Catalysis. ACS Catal 2023. [DOI: 10.1021/acscatal.3c00230] [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: 03/06/2023]
Affiliation(s)
- Yuanyuan Ge
- State Key Laboratory of Bioorganic and Natural Products Chemistry, Centre of Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
| | - Yingbo Shao
- State Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
- College of Chemistry, Nankai University, Tianjin 300071, P. R. China
| | - Shuang Wu
- State Key Laboratory of Bioorganic and Natural Products Chemistry, Centre of Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
- School of Physical Science and Technology, ShanghaiTech University, 100 Haike Road, Shanghai 201210, P. R. China
| | - Pan Liu
- State Key Laboratory of Bioorganic and Natural Products Chemistry, Centre of Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
- Central China Normal University, 152 Luoyu Road, Wuhan, Hubei 430079, P. R. China
| | - Junzhao Li
- State Key Laboratory of Bioorganic and Natural Products Chemistry, Centre of Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
| | - Hanzhang Qin
- State Key Laboratory of Bioorganic and Natural Products Chemistry, Centre of Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
- School of Chemistry and Material Sciences, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, 1 Sub-lane Xiangshan, Hangzhou 310024, P. R. China
| | - Yanxia Zhang
- State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, 345 Lingling Road, Shanghai 200032, P. R. China
| | - Xiao-song Xue
- School of Chemistry and Material Sciences, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, 1 Sub-lane Xiangshan, Hangzhou 310024, P. R. China
- State Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
| | - Yiyun Chen
- State Key Laboratory of Bioorganic and Natural Products Chemistry, Centre of Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, P. R. China
- School of Physical Science and Technology, ShanghaiTech University, 100 Haike Road, Shanghai 201210, P. R. China
- School of Chemistry and Material Sciences, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, 1 Sub-lane Xiangshan, Hangzhou 310024, P. R. China
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202
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Wu S, Zhang Y, Yao L, Wang J, Lu F, Liu Y. m 6A-modified RNAs possess distinct poly(A) tails. J Genet Genomics 2023; 50:208-211. [PMID: 36257580 DOI: 10.1016/j.jgg.2022.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/09/2022] [Accepted: 10/09/2022] [Indexed: 11/05/2022]
Affiliation(s)
- Shuang Wu
- College of Life Science, Northeast Agricultural University, Harbin, Hei Longjiang 150030, China; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Yiwei Zhang
- College of Life Science, Northeast Agricultural University, Harbin, Hei Longjiang 150030, China; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Lan Yao
- College of Life Science, Northeast Agricultural University, Harbin, Hei Longjiang 150030, China; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Jiaqiang Wang
- College of Life Science, Northeast Agricultural University, Harbin, Hei Longjiang 150030, China.
| | - Falong Lu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Yusheng Liu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China; College of Life Science, Northeast Forestry University, Harbin, Hei Longjiang 150040, China.
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203
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Wu S, Li H, Zhang D, Zhang H. Simultaneous determination of heavy metal concentrations and toxicities by diffusive gradient in thin films containing Acinetobacter whole-cell bioreporters (Bio-DGT). Environ Pollut 2023; 320:121050. [PMID: 36632971 DOI: 10.1016/j.envpol.2023.121050] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/30/2022] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
Heavy metal contaminations may cause severe toxic impacts to ecological systems and human health. Measurements of metals' bioavailable concentrations and toxicities simultaneously and in-situ in environments can advance the understanding of their hazardous effects. The diffusive gradients in thin-films (DGT) is an in-situ technique can measure metal speciation and labile concentrations, but cannot yet provide the direct toxicity information. The whole-cell bioreporter Acinetobacter baylyi ADPWH_recA was successfully incorporated into the DGT device to develop a novel technique, Bio-DGT, for assessing the toxicity of metals at the same time of measuring their labile concentrations. The bioassay used in Bio-DGT can sense the mixture toxicity from multiple contaminants and the DGT can assist in identifying which toxicants may be causing the toxicity. Cadmium was used as the model metal to test the performance of Bio-DGT in waters and soils. The masses of Cd accumulated in Bio-DGT increased linearly and theoretically with time for 7 days deployment, indicating little influences from bioreporter cells on DGT performance. A positive relationship between bioluminescent signals towards Cd demonstrated the sensitive and active bioreporters' response. The sensitive of Bio-DGT, indicated by Cd concentrations causing the response, is 0.01 mg/L. The stable response from Bio-DGT under various conditions (pH 4-8, ionic strengths 0.01-0.5 M) and 30 days storage time suggest the applicability of the technique in real environments. The deployment of Bio-DGT in contaminated soils demonstrated that Cd toxicity was regulated by labile concentration, showing its potential application for the risk assessment of heavy metal contaminations, and its further feasibility in using Bio-DGT for measuring integration of multiple contaminants' effects and simultaneously determine the main toxicity driver(s).
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Affiliation(s)
- Shuang Wu
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
| | - Hanbing Li
- Department of Environmental Science, Faculty of Environment and Life Science, Beijing University of Technology, Beijing, 100124, China
| | - Dayi Zhang
- College of New Energy and Environment, Jilin University, Changchun, 130012, China
| | - Hao Zhang
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
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204
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Chen N, Ni C, Wu S, Chen D, Pan B. Enhanced phosphate removal from water by hydrated neodymium oxide-based nanocomposite: Performance, mechanism, and validation. J Colloid Interface Sci 2023; 633:866-875. [PMID: 36495808 DOI: 10.1016/j.jcis.2022.11.127] [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: 08/16/2022] [Revised: 11/14/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022]
Abstract
Phosphorus (P) control has been recognized as an imperative task to mitigate water eutrophication and settle the imminent shortage of P resources. Despite intensive effort put into this matter, it is still generally challenging for the current methods to remove and even potentially recover phosphorus (as phosphate) from complicated water matrices. To this end, we proposed a novel nanocomposite via coupling polystyrene anion exchanger (PsAX) with hydrated neodymium oxide (HNdO) nanoparticle for selective removal of phosphate. The developed nanocomposite, i.e., HNdO-PsAX, exhibited quite stable and efficient phosphate adsorption over a wide pH range of 3.0-10.0 with the maximum adsorption capacity as 85.4 mg P/g. It also showed satisfied anti-interference against various competing substances; notably, HNdO-PsAX obviously outperformed Phoslock, a commercial lanthanum-based adsorbent exclusively for phosphate sequestration, particularly under the interference of bicarbonate and humic acid, which were admitted as the paralyzing factors for Phoslock. The superior affinity of HNdO-PsAX towards phosphate, driven by the specific Nd-P inner-sphere complexation as evidenced by XPS, FT-IR, and the lattice evolution of HNdO nanoparticle, renders the nanocomposite eminently suitable for sequestrating trace phosphate. Fixed-bed treatment validated that HNdO-PsAX was capable of treating ∼11,800 bed volume of a simulated wastewater (from 2.0 to below 0.5 mg P/L), approximately 12 times higher than that of the previously reported Fe-based nanocomposite (HFO-PsAX, ∼ 900 BV); also, a satisfactory outcome in treating authentic municipal wastewater by HNdO-PsAX and the feasibility of regenerating the exhausted one by a binary NaOH-NaCl solution were recognized. This work provides a new potion of enhanced phosphorous control for surface water and wastewater.
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Affiliation(s)
- Ningyi Chen
- College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Chenhao Ni
- College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Shuang Wu
- College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Du Chen
- College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Bingjun Pan
- College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
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205
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Wu J, Sun W, Sun C, Xu C, Li S, Li P, Xu H, Zhu D, Li M, Yang L, Wei J, Hanzawa A, Tapati SJ, Uenoyama R, Miyazaki M, Rahman A, Wu S. Cold stress induces malformed tomato fruits by breaking the feedback loops of stem cell regulation in floral meristem. New Phytol 2023; 237:2268-2283. [PMID: 36564973 DOI: 10.1111/nph.18699] [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] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Fruit malformation is a major constrain in fruit production worldwide resulting in substantial economic losses. The farmers for decades noticed that the chilling temperature before blooming often caused malformed fruits. However, the molecular mechanism underlying this phenomenon is unclear. Here we examined the fruit development in response to cold stress in tomato, and demonstrated that short-term cold stress increased the callose accumulation in both shoot apical and floral meristems, resulting in the symplastic isolation and altered intercellular movement of WUS. In contrast to the rapidly restored SlWUS transcription during the recovery from cold stress, the callose removal was delayed due to obstructed plasmodesmata. The delayed reinstatement of cell-to-cell transport of SlWUS prevented the activation of SlCLV3 and TAG1, causing the interrupted feedback inhibition of SlWUS expression, leading to the expanded stem cell population and malformed fruits. We further showed that the callose dynamics in response to short-term cold stress presumably exploits the mechanism of bud dormancy during the seasonal growth, involving two antagonistic hormones, abscisic acid and gibberellin. Our results provide a novel insight into the cold stress regulated malformation of fruit.
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Affiliation(s)
- Junqing Wu
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Wenru Sun
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Chao Sun
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Chunmiao Xu
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Shuang Li
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Pengxue Li
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Huimin Xu
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Danyang Zhu
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Meng Li
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Liling Yang
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Jinbo Wei
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Aya Hanzawa
- United Graduate School of Agricultural Sciences, Iwate University, Morioka, Iwate, 020-8550, Japan
| | - Sumaiya Jannat Tapati
- United Graduate School of Agricultural Sciences, Iwate University, Morioka, Iwate, 020-8550, Japan
| | - Reiko Uenoyama
- United Graduate School of Agricultural Sciences, Iwate University, Morioka, Iwate, 020-8550, Japan
| | - Masao Miyazaki
- Department of Biological Chemistry and Food Science, Faculty of Agriculture, Iwate University, Morioka, Iwate, 020-8550, Japan
| | - Abidur Rahman
- United Graduate School of Agricultural Sciences, Iwate University, Morioka, Iwate, 020-8550, Japan
- Department of Plant Bio Sciences, Faculty of Agriculture, Iwate University, Morioka, Iwate, 020-8550, Japan
| | - Shuang Wu
- College of Horticulture, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
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206
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Wang M, Wu S, Wang J, Fan D, Li Z, Tian S, Yao S, Zhang H, Gao H. MiRNA-206 Affects the Recovery of Sciatic Function by Stimulating BDNF Activity through the Down-regulation of Notch3 Expression. J Musculoskelet Neuronal Interact 2023; 23:109-121. [PMID: 36856106 PMCID: PMC9976182] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
OBJECTIVE To investigate the effects and mechanisms of microRNA 206 (miRNA-206) on neurological recovery through Notch receptor 3 (Notch3). METHODS The sciatic functional index (SFI), nerve conduction velocity (NCV), tricipital muscle wet weight (TWW) and cross-sectional area of the muscular fiber, and grip strength of posterior limbs were detected by establishing a model of the sciatic nerve to evaluate the effect of sciatic nerve injury model. miRNA-206 expression in the model was detected by real-time quantitative polymerase chain reaction (qRT-PCR), to regulate the effects of miRNA-206 on the proliferation of gastrocnemius myocytes by Cell Counting Kit-8 (CCK-8). RESULTS SFI of the model established by immediate epineurium suture after sciatic nerve resection was in the range of -150% to -100% and TWW, the average area of gastrocnemius myocytes, the NCV, and the grasping power of the hind limbs in the model were all lower than those in the normal group. And in the model, TWW, the average area of gastrocnemius myocytes, NCV, and grip strength of posterior limbs were lower in the normal group, which verified the successful establishment of the model. CONCLUSION Over-expression of miRNA-206 can down-regulate Notch3 expression, and then stimulate brain-derived neurotrophic factor (BDNF) activity to promote the repair and functional recovery of sciatic nerve injury.
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Affiliation(s)
- Meng Wang
- Post-graduation Education Office, College of General Practice and Continuing Education, Qiqihar Medical University, Qiqihar, China
| | - Shuang Wu
- Ward 5, Department of Orthopedics, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Jun Wang
- Academic Affairs Office, Qiqihar Medical University, Qiqihar, China
| | - Dandan Fan
- Ward 2, Department of Orthopedics, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Zhiyong Li
- Ward 2, Department of Orthopedics, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Shaohua Tian
- Ward 2, Department of Orthopedics, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Sining Yao
- Ward 2, Department of Orthopedics, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Hongyu Zhang
- Ward 2, Department of Orthopedics, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Hongwei Gao
- Ward 2, Department of Orthopedics, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
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207
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Li Y, Luo J, Chen R, Zhou Y, Yu H, Chu Z, Lu Y, Gu X, Wu S, Wang P, Kuang H, Ouyang B. Folate shapes plant root architecture by affecting auxin distribution. Plant J 2023; 113:969-985. [PMID: 36587293 DOI: 10.1111/tpj.16093] [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] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/26/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Folate (vitamin B9) is important for plant root development, but the mechanism is largely unknown. Here we characterized a root defective mutant, folb2, in Arabidopsis, which has severe developmental defects in the primary root. The root apical meristem of the folb2 mutant is impaired, and adventitious roots are frequently found at the root-hypocotyl junction. Positional cloning revealed that a 61-bp deletion is present in the predicted junction region of the promoter and the 5' untranslated region of AtFolB2, a gene encoding a dihydroneopterin aldolase that functions in folate biosynthesis. This mutation leads to a significant reduction in the transcript level of AtFolB2. Liquid chromatography-mass spectrometry analysis showed that the contents of the selected folate compounds were decreased in folb2. Arabidopsis AtFolB2 knockdown lines phenocopy the folb2 mutant. On the other hand, the application of exogenous 5-formyltetrahydrofolic acid could rescue the root phenotype of folb2, indicating that the root phenotype is indeed related to the folate level. Further analysis revealed that folate could promote rootward auxin transport through auxin transporters and that folate may affect particular auxin/indole-3-acetic acid proteins and auxin response factors. Our findings provide new insights into the important role of folic acid in shaping root structure.
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Affiliation(s)
- Ying Li
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
- College of Horticulture, Henan Agricultural University, Zhengzhou, Henan, 450002, China
| | - Jinying Luo
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Rong Chen
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Yuhong Zhou
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Huiyang Yu
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Zhuannan Chu
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Yongen Lu
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Xiaofeng Gu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shuang Wu
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Pengwei Wang
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Hanhui Kuang
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Bo Ouyang
- Key Laboratory of Horticultural Plant Biology, MOE, and Key Laboratory of Horticultural Crop Biology and Genetic Improvement (Central Region), MOA, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
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208
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Huang W, Tian F, Wang H, Wu S, Jin W, Shen W, Hu Z, Cai Q, Liu G. Comparative assessment of extraction, composition, and in vitro antioxidative properties of wheat bran polyphenols. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2023.114706] [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: 04/03/2023]
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209
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Wu M, Chang J, Han X, Shen J, Yang L, Hu S, Huang BB, Xu H, Xu M, Wu S, Li P, Hua B, Yang M, Yang Z, Wu S. A HD-ZIP transcription factor specifies fates of multicellular trichomes via dosage-dependent mechanisms in tomato. Dev Cell 2023; 58:278-288.e5. [PMID: 36801006 DOI: 10.1016/j.devcel.2023.01.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [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: 02/09/2022] [Revised: 07/25/2022] [Accepted: 01/26/2023] [Indexed: 02/19/2023]
Abstract
Hair-like structures are shared by most living organisms. The hairs on plant surfaces, commonly referred to as trichomes, form diverse types to sense and protect against various stresses. However, it is unclear how trichomes differentiate into highly variable forms. Here, we show that a homeodomain leucine zipper (HD-ZIP) transcription factor named Woolly controls the fates of distinct trichomes in tomato via a dosage-dependent mechanism. The autocatalytic reinforcement of Woolly is counteracted by an autoregulatory negative feedback loop, creating a circuit with a high or low Woolly level. This biases the transcriptional activation of separate antagonistic cascades that lead to different trichome types. Our results identify the developmental switch of trichome formation and provide mechanistic insights into the progressive fate specification in plants, as well as a path to enhancing plant stress resistance and the production of beneficial chemicals.
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Affiliation(s)
- Minliang Wu
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jiang Chang
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xiaoqian Han
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jingyuan Shen
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Liling Yang
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Shourong Hu
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Ben-Ben Huang
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Huimin Xu
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Mengyuan Xu
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Shurong Wu
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Pengxue Li
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Bin Hua
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Meina Yang
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhenbiao Yang
- Institute of Integrative Genome Biology and Department of Botany and Plant Science, University of California, Riverside, CA, USA
| | - Shuang Wu
- College of Horticulture, FAFU-UCR Joint Center for Horticultural Biology and Metabolomics, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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210
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Xiao Q, Wu S, Wang Y, Liu C, Feng W, Yao Y, Huang P, Wang X, Lu Q. Error analysis and realization of a phase-modulated diffraction grating used as a displacement sensor. Opt Express 2023; 31:7907-7921. [PMID: 36859912 DOI: 10.1364/oe.476203] [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] [Received: 09/23/2022] [Accepted: 12/24/2022] [Indexed: 06/18/2023]
Abstract
A grating-based interferometric cavity produces coherent diffraction light field in a compact size, serving as a promising candidate for displacement measurement by taking advantage of both high integration and high accuracy. Phase-modulated diffraction gratings (PMDGs) make use of a combination of diffractive optical elements, allowing for the diminishment of zeroth-order reflected beams and thus improving the energy utilization coefficient and sensitivity of grating-based displacement measurements. However, conventional PMDGs with submicron-scale features usually require demanding micromachining processes, posing a significant challenge to manufacturability. Involving a four-region PMDG, this paper establishes a hybrid error model including etching error and coating error, thus providing a quantitative analysis of the relation between the errors and optical responses. The hybrid error model and the designated process-tolerant grating are experimentally verified by micromachining and grating-based displacement measurements using an 850 nm laser, confirming the validity and effectiveness. It is found the PMDG achieves an energy utilization coefficient (the ratio of the peak-to-peak value of the ±1st order beams to the 0th-order beam) improvement of nearly 500% and a four-fold reduction in 0th-order beam intensity compared with the traditional amplitude grating. More importantly, this PMDG maintains very tolerant process requirements, and the etching error and coating error can be up to 0.5 µm and 0.6 µm, respectively. This offers attractive alternatives to the fabrication of PMDGs and grating-based devices with wide process compatibility. This work first systematically investigates the influence of fabrication errors and identifies the interplay between the errors and the optical response for PMDGs. The hybrid error model allows further avenues for the fabrication of diffraction elements with practical limitations of micromachining fabrication.
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Fu Y, Huang Y, Li P, Wang L, Tang Z, Liu X, Bian X, Wu S, Wang X, Zhu B, Yu Y, Jiang J, Li C. Physical- and Chemical-Dually ROS-Responsive Nano-in-Gel Platforms with Sequential Release of OX40 Agonist and PD-1 Inhibitor for Augmented Combination Immunotherapy. Nano Lett 2023; 23:1424-1434. [PMID: 36779813 DOI: 10.1021/acs.nanolett.2c04767] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Combination immunotherapy synergizing the PD-1 blockade with OX40 agonism has become a research hotspot, due to its enormous potential to overcome the restricted clinical objective response suffered by monotherapy. Questions of timing and sequence have been important aspects of immunotherapies when considering immunologic mechanisms; however, most of the time the straightforward additive approach was taken. Herein, our work is the first to investigate an alternative timing of aOX40 and aPD-1 treatment in melanoma-bearing mice, and it demonstrates that sequential administration (aOX40 first, then aPD-1 following) provided superior antitumor benefits than concurrent treatment. Based on that, to further avoid the limits suffered by solution forms, we adopted pharmaceutical technologies to construct an in situ-formed physical- and chemical-dually ROS-responsive nano-in-gel platform to implement sequential and prolonged release of aPD-1 and aOX40. Equipped with these advantages, the as-prepared (aPD-1NCs&aOX40)@Gels elicited augmented combination immunity and achieved great eradication of both primary and distant melanoma tumors in vivo.
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Affiliation(s)
- Yu Fu
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Yulan Huang
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Pingrong Li
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Luyao Wang
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX1 2JD, U.K
| | - Zhongjie Tang
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Xinlong Liu
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Xufei Bian
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Shuang Wu
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Xiaoyou Wang
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Biyue Zhu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard University, Charlestown, Massachusetts 02138, United States
| | - Yang Yu
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Jiayun Jiang
- Institute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University/Army Medical University, Chongqing 400038, P.R. China
| | - Chong Li
- Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
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212
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Hao X, Qin Y, Lv M, Zhao X, Wu S, Li K. Effectiveness of telehealth interventions on psychological outcomes and quality of life in community adults during the COVID-19 pandemic: A systematic review and meta-analysis. Int J Ment Health Nurs 2023. [PMID: 36808863 DOI: 10.1111/inm.13126] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 11/09/2022] [Accepted: 01/24/2023] [Indexed: 02/22/2023]
Abstract
Physical distancing and contact restrictions have been implemented in most countries and territories due to the rapid spread of SARS-CoV-2. This has caused physical, emotional, and psychological distress for adults living in the community. Diversified telehealth interventions have been widely applied in health care and have proven to be cost-effective and well accepted by patients and health professionals. Currently, the effectiveness of telehealth interventions on psychological outcomes and quality of life among community adults during the COVID-19 pandemic remains unclear. A literature search was conducted using PubMed, PsycINFO, CINAHL, EMBASE, MEDLINE, and the Cochrane Library from 2019 to October 2022. Twenty-five randomized controlled trials with 3228 subjects were finally included in this review. Two independent reviewers performed the screening, extraction of key data points, and appraisal of the methodological quality. There were positive effects of telehealth interventions on anxiety, stress, loneliness, and well-being among community adults. Participants who were women or older adults were more likely to recover from negative emotions, increase well-being, and improve quality of life. The real-time and interactive interventions and remote cognitive-behavioural therapy (CBT) may be better choices during the COVID-19 pandemic. Based on the findings of this review, health professionals have more options and alternatives for delivering telehealth interventions in the future. Rigorously designed randomized controlled trials (RCTs) with higher statistical power and long-term follow-up should be conducted in the future to strengthen the currently weak evidence.
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Affiliation(s)
- Xiaonan Hao
- School of Nursing, Jilin University, Changchun, China
| | - Yuan Qin
- School of Nursing, Jilin University, Changchun, China
| | - Miaohua Lv
- School of Nursing, Jilin University, Changchun, China
| | - Xuetong Zhao
- School of Nursing, Jilin University, Changchun, China
| | - Shuang Wu
- School of Nursing, Jilin University, Changchun, China
| | - Kun Li
- School of Nursing, Jilin University, Changchun, China
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213
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Xu Z, Qu X, Wu S, Wang P. Studying the Organization of the Actin Cytoskeleton in the Multicellular Trichomes of Tomato. Methods Mol Biol 2023; 2604:327-335. [PMID: 36773247 DOI: 10.1007/978-1-0716-2867-6_27] [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: 02/12/2023]
Abstract
Trichomes are unique polarized cells of the plant epidermis that provide an excellent model system for studying the plant cytoskeleton. Unlike Arabidopsis trichomes that are unicellular with a typical three-branch shape, the trichomes in tomato (Solanum lycopersicum) are multicellular with additional morphology and function diversity. Technically, it is hard to image tomato trichomes at the subcellular level because of their size and because they can be easily damaged. Here, we describe the methods we have used for the visualization and quantification of cytoskeletal arrangements in tomato trichomes which are at different developmental stages, using both live-cell imaging and phalloidin staining after fixation.
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Affiliation(s)
- Zhijing Xu
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Xiaolu Qu
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Shuang Wu
- College of Horticulture, School of Future Technology , Fujian Agriculture and Forestry University, Fuzhou, China
| | - Pengwei Wang
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China. .,Hubei Hongshan Laboratory, Wuhan, China.
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214
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Zhang T, Wang X, Li X, Li YN, Li Y, Wu S, Xu L, Zhou R, Yang J, Li G, Liu X, Zheng X, Zhang Z, Zhang H. MoLrp1-mediated signaling induces nuclear accumulation of MoMsn2 to facilitate fatty acid oxidation for infectious growth of the rice blast fungus. Plant Commun 2023:100561. [PMID: 36774535 PMCID: PMC10363509 DOI: 10.1016/j.xplc.2023.100561] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 01/05/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Fatty acid β-oxidation is critical for fatty acid degradation and cellular development. In the rice blast fungus Magnaporthe oryzae, fatty acid β-oxidation is reported to be important mainly for turgor generation in the appressorium. However, the role of fatty acid β-oxidation during invasive hyphal growth is rarely documented. We demonstrated that blocking peroxisomal fatty acid β-oxidation impaired lipid droplet (LD) degradation and infectious growth of M. oryzae. We found that the key regulator of pathogenesis, MoMsn2, which we identified previously, is involved in fatty acid β-oxidation by targeting MoDCI1 (encoding dienoyl-coenzyme A [CoA] isomerase), which is also important for LD degradation and infectious growth. Cytological observations revealed that MoMsn2 accumulated from the cytosol to the nucleus during early infection or upon treatment with oleate. We determined that the low-density lipoprotein receptor-related protein MoLrp1, which is also involved in fatty acid β-oxidation and infectious growth, plays a critical role in the accumulation of MoMsn2 from the cytosol to the nucleus by activating the cyclic AMP signaling pathway. Our results provide new insights into the importance of fatty acid oxidation during invasive hyphal growth, which is modulated by MoMsn2 and its related signaling pathways in M. oryzae.
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Affiliation(s)
- Ting Zhang
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Xingyu Wang
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Xue Li
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Ya-Nan Li
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Yuhe Li
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Shuang Wu
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Lele Xu
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Ruiwen Zhou
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Jing Yang
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Guotian Li
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, China
| | - Xinyu Liu
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Xiaobo Zheng
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Zhengguang Zhang
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China
| | - Haifeng Zhang
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, and Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, China; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, China.
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215
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Wu S, Yu T, Feng XL, Ye J. [Femtosecond laser-assisted open astigmatic keratotomy versus non-open astigmatic keratotomy for astigmatism correction in cataract surgery]. Zhonghua Yan Ke Za Zhi 2023; 59:96-101. [PMID: 36740438 DOI: 10.3760/cma.j.cn112142-20220815-00402] [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: 02/07/2023]
Abstract
Objective: To compare the effects of femtosecond laser-assisted astigmatic keratotomy (FSAK) with and without a manual opening for correction of low to moderate corneal astigmatism at the time of cataract surgery. Methods: It was a prospective cohort study. Patients undergoing cataract surgery from June 2021 to June 2022 at the Army Specialty Medical Center were consecutively enrolled. To correct low to moderate astigmatism, they had combined FSAK with the corneal epithelium manually opened or not according to their own decisions. Pentacam HR corneal topography was performed at 3 months after surgery. The main indicators were target induced astigmatism, surgically induced astigmatism, difference vector, correction index and angle of error. The independent samples t-test was used for continuous variables conforming to a normal distribution, the Mann-Whitney U-test for those not conforming to a normal distribution, and the Chi-square test for categorical variables. Results: There were 51 patients (61 eyes), including 27 patients (31 eyes) receiving combined open FSAK and 24 patients (30 eyes) with non-open keratotomy. No statistical difference was found between the two groups of patients in terms of age, gender and mean follow-up time (P>0.05). The target induced astigmatism was 1.10(0.80, 1.50) D in patients with open keratotomy and 1.30(0.98, 1.73) D in patients with non-open keratotomy (Z=1.729, P=0.084). The surgically induced astigmatism was 0.70 (0.59, 1.25) D and 0.42 (0.20, 0.66) D (Z=-3.571, P<0.001), the difference vector was (0.51±0.31) D and (1.21±0.44) D (t=-7.238, P<0.001), the correction index was 0.78±0.32 and 0.38±0.25 (t=5.386, P<0.001), and the angle of error was -1.08°±10.76° and 5.93°±46.98° (t=0.809, P=0.422) in the two groups, respectively. Conclusion: Open FSAK can achieve better astigmatism correction and less postoperative residual astigmatism than non-open FSAK in cataract surgery.
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Affiliation(s)
- S Wu
- Department of Ophthalmology, Army Medical Center of PLA (Daping Hospital), Chongqing 400042, China
| | - T Yu
- Department of Ophthalmology, Army Medical Center of PLA (Daping Hospital), Chongqing 400042, China
| | - X L Feng
- Department of Ophthalmology, Army Medical Center of PLA (Daping Hospital), Chongqing 400042, China
| | - J Ye
- Department of Ophthalmology, Army Medical Center of PLA (Daping Hospital), Chongqing 400042, China
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216
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Huang H, Wu S, Liang C, Qin C, Ye Z, Tang J, Chen X, Xie X, Wang C, Fu J, Deng M, Liu J. CDC42 Might Be a Molecular Signature of DWI-FLAIR Mismatch in a Nonhuman Primate Stroke Model. Brain Sci 2023; 13:brainsci13020287. [PMID: 36831829 PMCID: PMC9954026 DOI: 10.3390/brainsci13020287] [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: 12/14/2022] [Revised: 01/30/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
No definitive blood markers of DWI-FLAIR mismatch, a pivotal indicator of salvageable ischemic penumbra brain tissue, are known. We previously reported that CDC42 and RHOA are associated with the ischemic penumbra. Here, we investigated whether plasma CDC42 and RHOA are surrogate markers of DWI-FLAIR mismatch. Sixteen cynomolgus macaques (3 as controls and 13 for the stroke model) were included. Guided by digital subtraction angiography (DSA), a middle cerebral artery occlusion (MCAO) model was established by occluding the middle cerebral artery (MCA) with a balloon. MRI and neurological deficit scoring were performed to evaluate postinfarction changes. Plasma CDC42 and RHOA levels were measured by enzyme-linked immunosorbent assay (ELISA). The stroke model was successfully established in eight monkeys. Based on postinfarction MRI images, experimental animals were divided into a FLAIR (-) group (N = 4) and a FLAIR (+) group (N = 4). Plasma CDC42 in the FLAIR (-) group showed a significant decrease compared with that in the FLAIR (+) group (p < 0.05). No statistically significant difference was observed for plasma RHOA. The FLAIR (-) group showed a milder neurological function deficit and a smaller infarct volume than the FLAIR (+) group (p < 0.05). Therefore, plasma CDC42 might be a new surrogate marker for DWI-FLAIR mismatch.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Jingli Liu
- Correspondence: ; Tel.: +86-0771-5305790
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217
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Xiong H, Xue G, Zhang Y, Wu S, Zhao Q, Zhao R, Zhou N, Xie Y. Effect of exogenous galectin-9, a natural TIM-3 ligand, on the severity of TNBS- and DSS-induced colitis in mice. Int Immunopharmacol 2023; 115:109645. [PMID: 36610329 DOI: 10.1016/j.intimp.2022.109645] [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: 08/20/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 01/06/2023]
Abstract
Inflammatory bowel disease (IBD) have a complex pathogenesis that is yet to be completely understood. However, a strong correlation between Toll-like receptor 4 (TLR4)/nuclear factor-κB (NF-κB) signaling and IBD has been observed. T-cell immunoglobulin and mucin domain-containing-3 (Tim-3) has been reported to regulate TLR4/NF-κB by interacting with Galectin-9 (Gal-9), and recombinant Gal-9 can activate Tim-3; however, its potential properties in IBD and the underlying mechanism remain unclear. This study aimed to determine how Gal-9 affects experimental colitis in mice. Dextran sodium sulfate (DSS) and 2,4,6-trinitrobenzene sulfonic acid (TNBS) were used to establish colitis in mice, and the severity of the illness was assessed based on body weight, colon length, and histology. Therefore, we explored the effects of Gal-9 treatment on colitis. Furthermore, we analyzed the effect of Gal-9 on the expression of Tim-3 and TLR4/NF-κB pathway in colonic tissues and the serum levels of interferon-gamma (IFN-γ), interleukin (IL)-1β, and IL-6. Tim-3 expression in the colon was notably decreased in mice with TNBS-induced colitis, whereas TLR4/NF-kB expression was significantly increased. Intraperitoneal injection of Gal-9 dramatically decreased the disease activity index and attenuated the level of intestinal mucosal inflammation in TNBS-induced colitis mice (p < 0.05). Intraperitoneal administration of Gal-9 significantly increased Tim-3 expression in the colon and decreased the serum concentrations of IFN-γ, IL-1β, and IL-6. Additionally, Gal-9 treatment significantly downregulated the expression of TLR4 signaling pathway-related proteins. In contrast, Gal-9 did not reduce the severity of DSS-induced colitis. In summary, exogenous Gal-9 increased Tim-3 expression, inhibited the TLR4/NF-κB pathway, and alleviated TNBS-induced colitis in mice but not DSS-induced colitis in mice, revealing its potential therapeutic ramifications for IBD.
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Affiliation(s)
- Huifang Xiong
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China; Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province 330006, China; Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi 330006, China; JiangXi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi 330006, China
| | - Guohui Xue
- Department of Clinical Laboratory, Jiujiang NO.1 People's Hospital, Jiujiang, Jiangxi 332000, China
| | - Yuting Zhang
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China; Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province 330006, China; Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi 330006, China; JiangXi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi 330006, China
| | - Shuang Wu
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China; Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province 330006, China; Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi 330006, China; JiangXi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi 330006, China
| | - Qiaoyun Zhao
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China; Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province 330006, China; Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi 330006, China; JiangXi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi 330006, China
| | - Rulin Zhao
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China; Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province 330006, China; Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi 330006, China; JiangXi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi 330006, China
| | - Nanjin Zhou
- Jiangxi Provincial Academy of Medical Science, Nanchang, Jiangxi 330006, China
| | - Yong Xie
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China; Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province 330006, China; Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi 330006, China; JiangXi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi 330006, China.
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218
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Yang F, Lv J, Zhou Y, Wu S, Sima J. Co-pyrolysis of biomass and phosphate tailing to produce potential phosphorus-rich biochar: efficient removal of heavy metals and the underlying mechanisms. Environ Sci Pollut Res Int 2023; 30:17804-17816. [PMID: 36203042 DOI: 10.1007/s11356-022-23128-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Application of biochar to treat heavy metal polluted wastewater has received increasing attention; however, the immobilization ability of pristine biochar for metal ions is still limited. In this study, phosphate tailing was co-pyrolyzed with sawdust and peanut shell to acquire phosphorus-rich biochars with high removal rates for Cd, Zn, Pb, and Cu. Meanwhile, the improvement mechanisms by phosphate tailing were clarified by XRD, FTIR, SEM-EDS, BET-N2, and model fitting. Results showed that after phosphate tailing impregnation, surface area of sawdust, and peanut shell biochars increased from to 11.6 m2 g-1, and from 43.5 to 53.4 m2 g-1, respectively. Functional groups of -COOH and CO32- on biochar increased and the P2O74- newly generated. Besides, large amounts of Ca(PO3)2 and Ca2P2O7 crystals were detected in biochar ash. As for sawdust biochar, loading of phosphate tailing raised the sorption rates of Cd, Zn, Pb, and Cu by 0.35, 0.61, 1.10, and 2.64 times, respectively, as for peanut shell biochar, it was raised by 0.12, 0.47, 0.11, and 1.98 times, respectively. The sorption isotherms by phosphate tailing-loaded biochars were better fitted to Langmuir (R2 = 0.85-1.00) than Freundlich model (R2 = 0.58-0.91). Heavy metals could bind with -OH and -COOH on phosphate tailing-loaded biochars, meanwhile generated phosphorus-rich precipitation with PO3- and P2O74+, including Cd2P2O7, Cd(PO3)2, Zn (PO3)2, Pb (PO3)2, Pb2P2O7, Cu(PO3)2, and Cu2P2O7. This study proposed an innovative method to produce phosphorus-rich biochars by loading phosphate tailing for highly efficient removal of heavy metals from water bodies, and also realized the resource utilization of phosphate tailing, which was of great significance to reduce environmental pollution.
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Affiliation(s)
- Fan Yang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Junfan Lv
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Yingying Zhou
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Shuang Wu
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Jingke Sima
- State Environmental Protection Engineering Center for Urban Soil Contamination Control and Remediation, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China.
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219
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Zhang X, Liu L, Ning J, Wu S, Li S, Zhang Z, Li X. Factors Influencing Self-Management of Schizophrenia: A Cross-Sectional Study. J Psychosoc Nurs Ment Health Serv 2023; 61:19-26. [PMID: 36322867 DOI: 10.3928/02793695-20221027-06] [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: 02/02/2023]
Abstract
The purpose of the current study was to (a) understand the influencing factors of self-management in schizophrenia, (b) explore the relationship between social support and self-management, and (c) explore the intermediary role of coping modes between social support and self-management. From May to December 2020, a total of 320 community-dwelling persons with schizophrenia were recruited and completed self-report questionnaires. Spearman's correlation analysis was used to determine the relationship between the three variables and the bootstrap method was used to test the intermediary hypothesis. Results showed that 21.9% of persons with schizophrenia had low social support, 78.1% had medium social support, and convalescent persons with schizophrenia had high social support. Self-management was positively correlated with social support (r = 0.372, p < 0.05), confrontation coping mode (r = 0.576, p < 0.05), and avoidance coping mode (r = 0.204, p < 0.05), and negatively correlated with resignation coping mode (r = -0.057, p < 0.05). Confrontation and avoidance coping modes have a mediating effect between social support and self-management. Mental health nurses should understand the influence of social support and coping modes on self-management, and help persons with schizophrenia find social resources, build confidence, and confront the disorder positively. [Journal of Psychosocial Nursing and Mental Health Services, 61(2), 19-26.].
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Geng Z, Huang Y, Wu S, Zhu D, Li W. FUT8-AS1/miR-944/Fused in Sarcoma/Transcription Factor 4 Feedback Loop Participates in the Development of Oral Squamous Cell Carcinoma through Activation of Wnt/β-Catenin Signaling Pathway. Am J Pathol 2023; 193:233-245. [PMID: 36697118 DOI: 10.1016/j.ajpath.2022.10.010] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/22/2022] [Accepted: 10/11/2022] [Indexed: 01/24/2023]
Abstract
As a common type of head and neck squamous cell carcinoma, oral squamous cell carcinoma (OSCC) is a lethal and deforming disease. Long noncoding RNAs have emerged as critical modulators in different malignancies. However, the role of fucosyltransferase 8 antisense RNA 1 (FUT8-AS1) in OSCC still remains elusive. In this study, quantitative RT-PCR and Western blot were used for the measurement of RNAs and proteins. Mechanism assays explored the putative correlation among genes. In vitro assays evaluated the changes in OSCC cell malignant phenotype, whereas in vivo assays highlighted the influence of FUT8-AS1 on tumor growth. FUT8-AS1, aberrantly up-regulated in OSCC tissues and cells, could exacerbate OSCC cell malignant behaviors. The cancerogenic property of FUT8-AS1 in OSCC was further confirmed via animal experiments. Furthermore, FUT8-AS1 enhanced the expression of transcription factor 4 (TCF4) via sponging miR-944 and recruiting fused in sarcoma (FUS), thus affecting OSCC cell biological behaviors via modulation on Wnt/β-catenin signaling activity. In addition, TCF4 was validated as the transcriptional activator of FUT8-AS1. To conclude, TCF4-mediated FUT8-AS1 could exacerbate OSCC cell malignant behaviors and facilitate tumor growth via modulation on miR-944/FUS/TCF4.
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Affiliation(s)
- Zushi Geng
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yinzhen Huang
- Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuang Wu
- Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dandan Zhu
- Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenlu Li
- Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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Lyu SQ, Zhu J, Wang J, Wu S, Zhang H, Shao XH, Yang YM. Association between Plasma Big Endothelin-1 Level and The Severity of Coronary Artery Disease in Patients with Non-ST Segment-Elevated Myocardial Infarction. Arq Bras Cardiol 2023; 120:e20220294. [PMID: 36888778 DOI: 10.36660/abc.20220294] [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: 08/02/2021] [Accepted: 10/19/2022] [Indexed: 02/19/2023] Open
Abstract
BACKGROUND Early risk stratification with simple biomarkers is essential in patients with non-ST segment-elevation myocardial infarction (NSTEMI). OBJECTIVE This study aimed to evaluate the association between plasma big endothelin-1 (ET-1) level and the SYNTAX score (SS) in patients with NSTEMI. METHODS A total of 766 patients with NSTEMI undergoing coronary angiography were recruited. Patients were divided into three groups: low SS (≤22), intermediate SS (23-32), and high SS (>32). Spearman correlation, smooth curve fitting, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed to evaluate the association between plasma big ET-1 level and the SS. A p-value <0.05 was considered statistically significant. RESULTS There was a significant correlation between the big ET-1 and the SS (r=0.378, p<0.001). The smoothing curve indicated a positive correlation between the plasma big ET-1 level and the SS. The ROC curve analysis showed that the area under the curve was 0.695 (0.661-0.727) and the optimal cutoff of plasma big ET-1 level was 0.35pmol/l. Logistic regression showed that elevated big ET-1 was an independent predictor of intermediate-high SS in patients with NSTEMI, whether entered as a continuous variable [OR (95% CI): 1.110 (1.053-1.170), p<0.001] or as a categorical variable [OR (95% CI): 2.962 (2.073-4.233), p<0.001]. CONCLUSION In patients with NSTEMI, the plasma big ET-1 level was significantly correlated with the SS. Elevated plasma big ET-1 level was an independent predictor for intermediate-high SS.
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Affiliation(s)
- Si-Qi Lyu
- Emergency Center , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China.,National Clinical Research Center of Cardiovascular Diseases , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China
| | - Jun Zhu
- Emergency Center , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China.,National Clinical Research Center of Cardiovascular Diseases , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China
| | - Juan Wang
- Emergency Center , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China.,National Clinical Research Center of Cardiovascular Diseases , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China
| | - Shuang Wu
- Emergency Center , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China.,National Clinical Research Center of Cardiovascular Diseases , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China
| | - Han Zhang
- Emergency Center , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China.,National Clinical Research Center of Cardiovascular Diseases , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China
| | - Xing-Hui Shao
- Emergency Center , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China.,National Clinical Research Center of Cardiovascular Diseases , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China
| | - Yan-Min Yang
- Emergency Center , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China.,National Clinical Research Center of Cardiovascular Diseases , Fuwai Hospital , National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing - China
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Qin Y, Hao X, Lv M, Zhao X, Wu S, Li K. A global perspective on risk factors for frailty in community-dwelling older adults: A systematic review and meta-analysis. Arch Gerontol Geriatr 2023; 105:104844. [PMID: 36335672 DOI: 10.1016/j.archger.2022.104844] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 05/21/2022] [Revised: 10/16/2022] [Accepted: 10/17/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Frailty has become an important determinant of a series of adverse health outcomes. We explored the risk factors for frailty in older adults in the community from a global perspective and explore whether there are ethnic differences in these risk factors. METHODS The systematic review and meta-analysis (PROSPERO registration number: CRD42022323342) was searched using six electronic databases, including PubMed, Embase, the Cochrane Library, Web of Science, PsycINFO (EBSCO) and CINAHL (EBSCO) from inception to October 2021. We assessed study eligibility by inclusion and excluded criteria. Cohort studies included were assessed according to the Newcastle-Ottawa Scale. Cross-sectional studies were assessed by the bias risk evaluation standard recommended by the Agency for Health care Research and Quality. The results were reported by a narrative synthesis and pooled analyses. Statistical analyses were performed in Review Manager 5.3 software. RESULTS We reviewed 10870 studies, and 62 studies were included. The results showed a significant association between multidomain risk factors and the frailty of global older adults, including demographic factors, health-related factors, and physical factors. Marital status, depression, risk of malnutrition, history of falls and disease-related symptoms are also risk factors for frailty among older people in Asia. CONCLUSION Multiple domain factors were associated with frailty among older people around the world. Compared with the rest of the world, Asian populations are exposed to more risk factors for frailty. Therefore, health care providers should consider the characteristics of risk factors for frailty in this region when formulating intervention measures related to frailty.
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Affiliation(s)
- Yuan Qin
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Xiaonan Hao
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Miaohua Lv
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Xuetong Zhao
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Shuang Wu
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Kun Li
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China.
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223
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Qu Z, Bing Y, Zhang T, Zheng Y, Wu S, Ji C, Li W, Zou X. Screening of Q-markers for the wine-steamed Schisandra chinensis decoction pieces in improving allergic asthma. Chin Med 2023; 18:10. [PMID: 36717898 PMCID: PMC9887854 DOI: 10.1186/s13020-023-00712-0] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/14/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Traditional Chinese medicine (TCM) posits that Chinese medicinal materials can only be clinically used after being processed and prepared into decoction pieces. Schisandra Chinensis Fructus (derived from the dried and mature fruits of Schisandra chinensis (Turcz.) Baill.) has been used as a traditional antiasthmatic, kidney strengthening, and hepatoprotective agent for 2000 years. The results of previous research show that decoction pieces of wine-steamed Schisandra chinensis (WSC) are more effective than raw decoction pieces of Schisandra chinensis (RSC) for treating cough and asthma. Steaming with wine was demonstrated to promote the dissolution of ingredients. However, the relationship between the changes in the components of the decoction pieces of WSC and the therapeutic effect remains unclear. METHODS The efficacies of decoctions of RSC and WSC were compared using allergic asthma rats. The potential bioactive components in the serum of the WSC treatment group and the changes in the chemical composition of the RSC decoction pieces before and after wine steaming were determined by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) and ultra-high-performance liquid chromatography tandem mass spectrometry (UPLC H-CLASS XEVO TQD) to speculate quality markers (Q-markers) related to the efficacy of WSC, which were subsequently verified based on a zebrafish inflammation model. RESULTS Steaming RSC decoction pieces with wine was found to promote improvement of allergic asthma. Reverse tracing of 22 components detected in the serum of the high dose group of WSC (WSC-H) resulted in 12 ingredients being finally designated as potential effective components. Among these ingredients, 5 components, Schisandrin, Schisandrol B, Schisandrin A, Schisandrin B, and Gomisin D, had higher dissolution rates than RSC after steaming with wine. Validation by an inflammatory zebrafish model showed that these 5 ingredients had a dose-dependent effect and were therefore Q-markers for WSC in the treatment of allergic asthma. CONCLUSION In this study, changes in the components of decoction pieces of RSC and WSC and Q-markers related to WSC efficacy were identified, providing valuable information for expanding the application of WSC and establishing a specific quality standard for WSC.
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Affiliation(s)
- Zhongyuan Qu
- grid.411992.60000 0000 9124 0480School of Pharmacy, Harbin University of Commerce, Harbin, 150076 China
| | - Yifan Bing
- grid.411992.60000 0000 9124 0480School of Pharmacy, Harbin University of Commerce, Harbin, 150076 China
| | - Tianlei Zhang
- grid.411992.60000 0000 9124 0480School of Pharmacy, Harbin University of Commerce, Harbin, 150076 China
| | - Yan Zheng
- grid.411992.60000 0000 9124 0480School of Pharmacy, Harbin University of Commerce, Harbin, 150076 China
| | - Shuang Wu
- grid.411992.60000 0000 9124 0480School of Pharmacy, Harbin University of Commerce, Harbin, 150076 China
| | - Chenfeng Ji
- grid.411992.60000 0000 9124 0480School of Pharmacy, Harbin University of Commerce, Harbin, 150076 China
| | - Wenlan Li
- grid.411992.60000 0000 9124 0480School of Pharmacy, Harbin University of Commerce, Harbin, 150076 China ,grid.411992.60000 0000 9124 0480Engineering Research Center on Natural Antineoplastic Drugs, Ministry of Education, Harbin University of Commerce, Harbin, 150076 China
| | - Xiang Zou
- grid.411992.60000 0000 9124 0480Engineering Research Center on Natural Antineoplastic Drugs, Ministry of Education, Harbin University of Commerce, Harbin, 150076 China ,grid.12082.390000 0004 1936 7590School of Life Sciences, University of Sussex, Brighton, BN19RH UK
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224
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Qin F, Bai J, Zhu Y, He P, Wang X, Wu S, Yu X, Ren L. Searching for the true origin of the red fluorescence of leaf-derived carbon dots. Phys Chem Chem Phys 2023; 25:2762-2769. [PMID: 36645185 DOI: 10.1039/d2cp05130c] [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: 01/07/2023]
Abstract
We report for the first time that the red fluorescence of leaf-derived carbon dots is derived from chlorophyll, and a possible formation structure is proposed. By controlling the solvothermal reaction temperature, the new luminescence center of CDs can be adjusted. This work provides unprecedented insights into the luminescence mechanism of biomass-derived CDs.
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Affiliation(s)
- Fu Qin
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Jianliang Bai
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Yaqing Zhu
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Pinyi He
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Xinyu Wang
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Shuang Wu
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Xu Yu
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Lili Ren
- School of Chemistry & Chemical Engineering, Southeast University, Nanjing 211189, China.
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225
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Di Lorenzo E, Xu T, Zhao Y, Newman M, Capotondi A, Stevenson S, Amaya DJ, Anderson BT, Ding R, Furtado JC, Joh Y, Liguori G, Lou J, Miller AJ, Navarra G, Schneider N, Vimont DJ, Wu S, Zhang H. Modes and Mechanisms of Pacific Decadal-Scale Variability. Ann Rev Mar Sci 2023; 15:249-275. [PMID: 36112981 DOI: 10.1146/annurev-marine-040422-084555] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The modes of Pacific decadal-scale variability (PDV), traditionally defined as statistical patterns of variance, reflect to first order the ocean's integration (i.e., reddening) of atmospheric forcing that arises from both a shift and a change in strength of the climatological (time-mean) atmospheric circulation. While these patterns concisely describe PDV, they do not distinguish among the key dynamical processes driving the evolution of PDV anomalies, including atmospheric and ocean teleconnections and coupled feedbacks with similar spatial structures that operate on different timescales. In this review, we synthesize past analysis using an empirical dynamical model constructed from monthly ocean surface anomalies drawn from several reanalysis products, showing that the PDV modes of variance result from two fundamental low-frequency dynamical eigenmodes: the North Pacific-central Pacific (NP-CP) and Kuroshio-Oyashio Extension (KOE) modes. Both eigenmodes highlight how two-way tropical-extratropical teleconnection dynamics are the primary mechanisms energizing and synchronizing the basin-scale footprint of PDV. While the NP-CP mode captures interannual- to decadal-scale variability, the KOE mode is linked to the basin-scale expression of PDV on decadal to multidecadal timescales, including contributions from the South Pacific.
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Affiliation(s)
- E Di Lorenzo
- Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, Rhode Island, USA;
| | - T Xu
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
| | - Y Zhao
- Deep-Sea Multidisciplinary Research Center, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, China
| | - M Newman
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA
| | - A Capotondi
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA
| | - S Stevenson
- Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA
| | - D J Amaya
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
| | - B T Anderson
- Department of Earth and Environment, Boston University, Boston, Massachusetts, USA
| | - R Ding
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
| | - J C Furtado
- School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA
| | - Y Joh
- Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey, USA
| | - G Liguori
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy
- School of Earth, Atmosphere, and Environment, Monash University, Melbourne, Victoria, Australia
| | - J Lou
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA
| | - A J Miller
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA
| | - G Navarra
- Program in Ocean Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - N Schneider
- International Pacific Research Center and Department of Oceanography, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA
| | - D J Vimont
- Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - S Wu
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
| | - H Zhang
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, Texas, USA
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226
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Wu S, Xiao LD, Nan J, Zhao S, Yin P, Zhang D, Liao L, Li M, Yang X, Feng H. Nursing Home Residents' Perceptions of Challenges and Coping Strategies during COVID-19 Pandemic in China. Int J Environ Res Public Health 2023; 20:1485. [PMID: 36674245 PMCID: PMC9862260 DOI: 10.3390/ijerph20021485] [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] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/02/2023] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
Older people in nursing homes are at a high risk of being infected by coronavirus disease 2019 (COVID-19). They also experienced nursing home lockdowns that harm their psychological wellbeing. Better support for this vulnerable population requires understanding their perceptions of challenges and coping strategies during the COVID-19 pandemic. A qualitative descriptive study was conducted using semi-structured interviews. Thematic analysis approach was used to analyze the data. Participants were recruited from six nursing homes in three cities in Hunan Province, China. Fourteen nursing home residents participated in the study. Four themes were identified from interviews and described as: mental stress and coping strategies, self-regulation to respond to lockdown, the lack of social connection and coping strategies, and the need for medical care services and coping strategies. This study revealed that nursing home residents perceived stress during the nursing home lockdown, but they reported initiating activities to maintain health and connections with their families and peers. Resilience improvement interventions are necessary to enable residents' autonomy and develop their resilience in coping with difficulties and hardship during crises. The findings also indicate that a supportive environment with interactions from families, peers, and staffs played a key role in enabling residents' positive health and wellbeing during the lockdown.
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Affiliation(s)
- Shuang Wu
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Lily Dongxia Xiao
- College of Nursing and Health Sciences, Flinders University, Adelaide, SA 5042, Australia
| | - Jiahui Nan
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Si Zhao
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Ping Yin
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Dou Zhang
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Lulu Liao
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Mengqi Li
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Xiufen Yang
- Xiangya School of Nursing, Central South University, Changsha 410013, China
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha 410013, China
- Xiangya-Oceanwide Health Management Research Institute, Central South University, No. 172, Tongzipo Road, Yuelu District, Changsha 410013, China
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227
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Zhou X, Wu Y, Peng H, Wu S, Wang M. Differential Evolution Algorithm with Dual Information Guidance. INT J ARTIF INTELL T 2023. [DOI: 10.1142/s0218213023600011] [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: 01/12/2023]
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228
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Wu S, Moody K, Kollipara A, Zhu Y. Highly Sensitive, Stretchable, and Robust Strain Sensor Based on Crack Propagation and Opening. ACS Appl Mater Interfaces 2023; 15:1798-1807. [PMID: 36548931 PMCID: PMC10403976 DOI: 10.1021/acsami.2c16741] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Soft and stretchable strain sensors have been attracting significant attention. However, the trade-off between the sensitivity (gauge factor) and the sensing range has been a major challenge. In this work, we report a soft stretchable resistive strain sensor with an unusual combination of high sensitivity, large sensing range, and high robustness. The sensor is made of a silver nanowire network embedded below the surface of an elastomeric matrix (e.g., poly(dimethylsiloxane)). Periodic mechanical cuts are applied to the top surface of the sensor, changing the current flow from uniformly across the sensor to along the conducting path defined by the open cracks. Both experiment and finite element analysis are conducted to study the effect of the slit depth, slit length, and pitch between the slits. The stretchable strain sensor can be integrated into wearable systems for monitoring physiological functions and body motions associated with different levels of strain, such as blood pressure and lower back health. Finally, a soft three-dimensional (3D) touch sensor that tracks both normal and shear stresses is developed for human-machine interfaces and tactile sensing for robotics.
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Affiliation(s)
- Shuang Wu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
| | - Katherine Moody
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
| | - Abhiroop Kollipara
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
- Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
- Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hill and NC State University, Chapel Hill, North Carolina27599, United States
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229
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Yu M, Wu S, Gong C, Chen L. Neuregulin-1β increases glucose uptake and promotes GLUT4 translocation in palmitate-treated C2C12 myotubes by activating PI3K/AKT signaling pathway. Front Pharmacol 2023; 13:1066279. [PMID: 36703726 PMCID: PMC9871240 DOI: 10.3389/fphar.2022.1066279] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/26/2022] [Indexed: 01/12/2023] Open
Abstract
Insulin resistance (IR) is a feature of type 2 diabetes (T2DM) accompanied by reduced glucose uptake and glucose transporter 4 (GLUT4) translocation by skeletal muscle. Neuregulin-1β (NRG-1β) is essential for myogenesis and the regulation of skeletal muscle metabolism. Neuregulin-1β increases insulin sensitivity, promotes glucose uptake and glucose translocation in normal skeletal muscle. Here, we explored whether Neuregulin-1β increased glucose uptake and GLUT4 translocation in palmitate (PA)-treated C2C12 myotubes. After C2C12 myoblasts differentiated into myotubes, we used palmitate to induce cellular insulin resistance. Cells were incubated with or without Neuregulin-1β and glucose uptake was determined using the 2-NBDG assay. The expression level of glucose transporter 4 (GLUT4) was measured via immunofluorescence and Western blotting. MK2206, an inhibitor of AKT, was employed to reveal the important role played by AKT signaling in PA-treated C2C12 myotubes. We then established an animal model with T2DM and evaluated the effects of Neuregulin-1β on body weight and the blood glucose level. The GLUT4 level in the gastrocnemius of T2DM mice was also measured. NRG-1β not only increased glucose uptake by PA-treated myotubes but also promoted GLUT4 translocation to the plasma membrane. The effect of NRG-1β on PA-treated C2C12 myotubes was associated with AKT activation. In T2DM mice, Neuregulin-1β not only improved diabetes-induced weight loss and diabetes-induced hyperglycemia, but also promoted GLUT4 translocation in the gastrocnemius. In summary, Neuregulin-1β increased glucose uptake and promoted translocation of GLUT4 to the plasma membrane in PA-treated C2C12 myotubes by activating the PI3K/AKT signaling pathway.
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Affiliation(s)
| | | | - Chao Gong
- *Correspondence: Chao Gong, ; Lianhua Chen,
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Jiang W, Wu C, Zhang C, Wang X, Li Y, Wu S, Yao Y, Li J, Wang W. Effect of CaO Sourced from CaCO 3 or CaSO 4 on Phase Formation and Mineral Composition of Iron-Rich Calcium Sulfoaluminate Clinker. Materials (Basel) 2023; 16:643. [PMID: 36676388 PMCID: PMC9864381 DOI: 10.3390/ma16020643] [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] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
The performance of iron-rich calcium sulfoaluminate (IR-CSA) cement is greatly affected by mineral composition and mineral activity in the clinker. This study aims to identify the effect of CaO sources, either CaCO3 or CaSO4, on the phase formation and mineral composition of the IR-CSA clinker. Targeted samples were prepared with different proportions of CaCO3 and CaSO4 as CaO sources at 1300 °C for 45 min. Multiple methods were used to identify the mineralogical conditions. The results indicate that the mineral composition and performance of the IR-CSA clinker could be optimized by adjusting the CaO source. Both Al2O3 and Fe2O3 tend to incorporate into C4A3-xFxS¯ with an increase in CaSO4 as a CaO source, which leads to an increased content of C4A3-xFxS¯ but a decreased ferrite phase. In addition, clinkers prepared with CaSO4 as a CaO source showed much higher x value in C4A3-xFxS¯ and higher compressive strength than clinker prepared with CaCO3 as the sole CaO source. The crystal types of both C4A3-xFxS¯ and C2S were also affected, but showed different trends with the transition of the CaO source. The findings provide a possible method to produce IR-CSA cement at a low cost through cooperative utilization of waste gypsum and iron-bearing industrial solid wastes.
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Affiliation(s)
- Wen Jiang
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
| | - Changliang Wu
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
| | - Chao Zhang
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
| | - Xujiang Wang
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
| | - Yuzhong Li
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
| | - Shuang Wu
- School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China
| | - Yonggang Yao
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
| | - Jingwei Li
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
| | - Wenlong Wang
- National Engineering Laboratory for Reducing Emissions from Coal Combustion, Engineering Research Center of Environmental Thermal Technology, Ministry of Education, Shandong Key Laboratory of Energy Carbon Reduction and Resource Utilization, School of Energy and Power Engineering, Shandong University, Jinan 250061, China
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Wu S, Wang H, Zhu Y, Fu W. A retrospective case series of the treatment of spontaneous quadriceps tendon rupture in patients with uremia and secondary hyperparathyroidism. Front Surg 2023; 10:961188. [PMID: 36911605 PMCID: PMC9996298 DOI: 10.3389/fsurg.2023.961188] [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: 06/04/2022] [Accepted: 02/08/2023] [Indexed: 02/25/2023] Open
Abstract
Background Spontaneous quadriceps tendon rupture (QTR) is a rare complication of uremia. Secondary hyperparathyroidism (SHPT) is considered the leading cause of QTR in uremia patients. QTR in patients with uremia and SHPT are treated with active surgical repair along with the treatment of SHPT using medication or parathyroidectomy (PTX). The impact of PTX for SHPT on tendon healing remains unclear. The purpose of this study was to introduce surgical procedures for QTR and to determine the functional recovery of the repaired quadriceps tendon (QT) after PTX. Methods Between Jan 2014 and Dec 2018, eight uremia patients underwent PTX after a ruptured QT was repaired by figure-of-eight trans-osseous sutures with an overlapping tightening suture technique. Biochemical indices were measured before and one year after PTX to evaluate the control of SHPT. The changes in bone mineral density (BMD) were determined by comparing x-ray images at pre-PTX and during follow-up. The assessment of the functional recovery of the repaired QT was conducted at the last follow-up using multiple functional parameters. Results Eight patients (fourteen tendons) were retrospectively evaluated at an average follow-up of 3.46 ± 1.37 years after PTX. ALP and iPTH levels one year after PTX were significantly lower than at pre-PTX (P = 0.017, P < 0.001, respectively). Although there was no statistical differences compared to pre-PTX, serum phosphorus levels decreased and returned to normal one year after PTX (P = 0.101). BMD significantly increased at the last follow-up compared to pre-PTX. The average Lysholm score was 73.5 ± 11.07 and the average Tegner activity score was 2.63 ± 1.06. The active knee ROM after repair averaged an extension of 2.85 ± 3.78° to a flexion angle of 113.21 ± 10.12°. The quadriceps muscle strength was grade IV and the mean Insall-Salvati index was 0.93 ± 0.10 in all of the knees with tendon ruptures. All patients were able to walk without external help. Conclusions Figure-of-eight trans-osseous sutures with an overlapping tightening suture technique is an economical and effective treatment for spontaneous QTR in patients with uremia and SHPT. PTX may promote tendon-bone healing in patients with uremia and SHPT.
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Affiliation(s)
- Shuang Wu
- Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Huihui Wang
- Department of Orthopedics, Provincial Orthopaedics Hospital, Chengdu, China
| | - Yanlin Zhu
- Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Weili Fu
- Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
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232
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Wu S, Li G, Du L, Chen S, Zhang X, He Q. The effectiveness of wearable activity trackers for increasing physical activity and reducing sedentary time in older adults: A systematic review and meta-analysis. Digit Health 2023; 9:20552076231176705. [PMID: 37252261 PMCID: PMC10214103 DOI: 10.1177/20552076231176705] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/02/2023] [Indexed: 05/31/2023] Open
Abstract
Background Traditional interventions such as education and counseling are successful in increasing physical activity (PA) participation, but are usually labor and resource intensive. Wearable activity trackers can objectively record PA and provide feedback to help users to achieve activity goals and are an increasingly popular tool among adults used to facilitate self-monitoring of PA. However, no reviews systematically explored the roles of wearable activity trackers in older populations. Methods We searched PubMed, Web of Science, Google Scholar, Embase, Cochrane Library, and Scopus from inception to September 10, 2022. Randomized controlled trials were included. Two reviewers independently conducted study selection, data extraction, risk of bias, and certainty of evidence assessment. A random-effects model was used to evaluate the effect size. Results A total of 45 studies with 7144 participants were included. A wearable activity tracker was effective in increasing daily steps (standard mean differences (SMD) = 0.59, 95% confidence interval (CI) (0.44, 0.75)), weekly moderate-to-vigorous PA (MVPA) (SMD = 0.54, 95% CI (0.36, 0.72)), and total daily PA (SMD = 0.21, 95% CI (0.01, 0.40)) and reducing sedentary time (SMD = -0.10, 95% CI (-0.19, -0.01)). Subgroup analysis showed that the effectiveness of wearable activity trackers for daily steps was not influenced by participants and intervention features. However, wearable activity trackers seemed more effective in promoting MVPA of participant's age <70 than participant's age ≥70. In addition, wearable activity trackers incorporated with traditional intervention components (e.g. telephone counseling, goal setting, and self-monitoring) could better promote MVPA than alone use. Short-term interventions potentially achieve better MVPA increase than long-term. Conclusion This review showed that wearable activity trackers are an effective tool to increase PA for the old population and also favor reducing sedentary time. When used together with other interventions, wearable activity trackers can achieve better MVPA increase, especially in the short term. However, how to more effectively improve the effectiveness of wearable activity trackers is an important direction of future research.
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Affiliation(s)
- Shuang Wu
- School of Physical Education, Shandong University, Jinan, China
| | - Guangkai Li
- School of Physical Education, Shandong University, Jinan, China
| | - Litao Du
- School of Physical Education, Shandong University, Jinan, China
| | - Si Chen
- School of Nursing and Rehabilitation,
Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xianliang Zhang
- School of Physical Education, Shandong University, Jinan, China
| | - Qiang He
- School of Physical Education, Shandong University, Jinan, China
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Mallinckrodt C, Tian Y, Aisen PS, Barkhof F, Cohen S, Dent G, Hansson O, Harrison K, Iwatsubo T, Mummery CJ, Muralidharan KK, Nestorov I, Nisenbaum L, Rajagovindan R, von Hehn C, van Dyck CH, Vellas B, Wu S, Zhu Y, Sandrock A, Chen T, Budd Haeberlein S. Investigating Partially Discordant Results in Phase 3 Studies of Aducanumab. J Prev Alzheimers Dis 2023; 10:171-177. [PMID: 36946443 DOI: 10.14283/jpad.2023.6] [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: 01/09/2023]
Abstract
OBJECTIVES Efficacy and safety results from the EMERGE (NCT02484547) and ENGAGE (NCT02477800) phase 3 studies of aducanumab in early Alzheimer's disease (AD) have been published. In EMERGE, but not in ENGAGE, high-dose aducanumab demonstrated significant treatment effects across primary and secondary endpoints. Low-dose aducanumab results were consistent across studies with non-significant differences versus placebo that were intermediate to the high-dose arm in EMERGE. The present investigation examined data from EMERGE and ENGAGE through post-hoc analyses to determine factors that contributed to discordant results between the high-dose arms of the two studies. DESIGN EMERGE and ENGAGE were 2 phase 3, randomized, double-blind, placebo-controlled, parallel-group studies. SETTING EMERGE and ENGAGE were 2 global multicenter studies involving 348 sites in 20 countries. PARTICIPANTS Participants in EMERGE and ENGAGE were aged 50 to 85 years and had mild cognitive impairment or mild AD dementia with confirmed amyloid pathology. The randomized and dosed population (all randomized patients who received at least one dose of study treatment) included 1638 patients in EMERGE and 1647 in ENGAGE. INTERVENTION In EMERGE and ENGAGE, participants were randomized to receive low- or high-dose aducanumab or placebo (1:1:1) once every 4 weeks. MEASUREMENTS In this paper, 4 areas were investigated through post-hoc analyses to understand the discordance in the high-dose arms of the EMERGE and ENGAGE studies: baseline characteristics, amyloid-related imaging abnormalities, non-normality of the data, and dosing/exposure to aducanumab. RESULTS Post-hoc analyses showed that outcomes in the ENGAGE high-dose group were affected by an imbalance in a small number of patients with extremely rapid progression and by lower exposure to the target dose of 10 mg/kg. These factors were confounded and present in early enrolled patients but were not present in later-enrolled patients who were randomized to the target dosing regimen of 10 mg/kg after titration. Neither baseline characteristics nor amyloid-related imaging abnormalities contributed to the difference in results between the high-dose arms. CONCLUSIONS Results were consistent across studies in later enrolled patients in which the incidence of rapidly progressing patients was balanced across treatment arms.
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Affiliation(s)
- C Mallinckrodt
- Samantha Budd Haeberlein, 225 Binney Street, Biogen, Cambridge, Massachusetts, 617-679-3159,
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Liu T, Jiang L, Bai Q, Wu S, Yu X, Wu T, Wang J, Zhang X, Li H, Zhao K, Wang L. CLDN6 suppresses migration and invasion via blocking SMADs/Snail/MMP-2/9 axis in MCF-7 and SKBR-3 cell lines. Bull Exp Biol Med 2023. [DOI: 10.47056/0365-9615-2023-175-3-360-366] [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: 03/29/2023]
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235
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He YC, Yu HL, Zhao KY, Wang Y, Geng CS, Wu S, Yang HK, Zhao FH. Three new Zn( ii) coordination polymers for highly selective and sensitive detection of Fe 3+. CrystEngComm 2023. [DOI: 10.1039/d2ce01382g] [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: 12/13/2022]
Abstract
In this work, three novel Zn(ii)-CPs with diverse structures and fascinating topologies can be highly selective and sensitive luminescent sensors for detection of Fe3+.
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Affiliation(s)
- Yuan-Chun He
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
| | - Hao-Long Yu
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
| | - Kai-Yang Zhao
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
| | - Yao Wang
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
| | - Chang-Sheng Geng
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
| | - Shuang Wu
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
| | - Hong-Kun Yang
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
| | - Fang-Hua Zhao
- School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, P. R. China
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Zhang ZB, He Z, Pan XF, Gao HL, Chen SM, Zhu Y, Cao S, Zhao C, Wu S, Gong X, Wu H, Yu SH. Bioinspired Impact-Resistant and Self-Monitoring Nanofibrous Composites. Small 2023; 19:e2205219. [PMID: 36404124 DOI: 10.1002/smll.202205219] [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] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Lightweight and impact-resistant materials with self-monitoring capability are highly desired for protective applications, but are challenging to be artificially fabricated. Herein, a scalable-manufactured aramid nanofiber (ANF)-based composite combining these key properties is presented. Inspired by the strengthening and toughening mechanisms relying on recoverable interfaces commonly existing in biological composites, mechanically weak but dense hydrogen bonds are introduced into the ANF interfaces to achieve simultaneously enhanced tensile strength (300 MPa), toughness (55 MJ m-3 ), and impact resistance of the nanofibrous composite. The achieved mechanical property combination displays attractive advantages compared with that of most of previously reported nanocomposites. Additionally, the nanofibrous composite is designed with a capability for real-time self-monitoring of its structural safety during both quasi-static tensile and dynamic impact processes, based on the strain/damage-induced resistance variations of a conductive nanowire network inside it. These comprehensive properties enable the present nanofibrous composite with promising potential for protective applications.
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Affiliation(s)
- Zhen-Bang Zhang
- Department of Chemistry, Institute of Biomimetic Materials & Chemistry, Anhui Engineering Laboratory of Biomimetic Materials, Division of Nanomaterials & Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
| | - ZeZhou He
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Xiao-Feng Pan
- Department of Chemistry, Institute of Biomimetic Materials & Chemistry, Anhui Engineering Laboratory of Biomimetic Materials, Division of Nanomaterials & Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
| | - Huai-Ling Gao
- Department of Chemistry, Institute of Biomimetic Materials & Chemistry, Anhui Engineering Laboratory of Biomimetic Materials, Division of Nanomaterials & Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
| | - Si-Ming Chen
- Department of Chemistry, Institute of Biomimetic Materials & Chemistry, Anhui Engineering Laboratory of Biomimetic Materials, Division of Nanomaterials & Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
| | - YinBo Zhu
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Saisai Cao
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Chunyu Zhao
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Shuang Wu
- Department of Chemistry, Institute of Biomimetic Materials & Chemistry, Anhui Engineering Laboratory of Biomimetic Materials, Division of Nanomaterials & Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
| | - Xinglong Gong
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - HengAn Wu
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Shu-Hong Yu
- Department of Chemistry, Institute of Biomimetic Materials & Chemistry, Anhui Engineering Laboratory of Biomimetic Materials, Division of Nanomaterials & Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
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Song B, Wu S, Ye L, Jing Z, Cao J. Circular RNA 0000157 depletion protects human bronchial epithelioid cells from cigarette smoke extract-induced human bronchial epithelioid cell injury through the microRNA-149-5p/bromodomain containing 4 pathway. Hum Exp Toxicol 2023; 42:9603271231167581. [PMID: 37533154 DOI: 10.1177/09603271231167581] [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] [Indexed: 08/04/2023]
Abstract
BACKGROUND Circular RNA (circRNA) has been reported to regulate respiratory diseases. In the study, we aimed to elucidate the role of circ_0000157 in smoke-related chronic obstructive pulmonary disease (COPD) and the inner mechanism. METHODS COPD-like cell injury was induced by treating human bronchial epithelioid cells (16HBE) with cigarette smoke extract (CSE). The expression of circ_0000157, miR-149-5p, bromodomain containing 4 (BRD4), BCL2-associated x protein (Bax) and B-cell lymphoma-2 (Bcl-2) was analyzed by quantitative real-time polymerase chain reaction (qRT-PCR) or Western blotting. Enzyme-linked immunosorbent assay was performed to detect interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) levels. Malondialdehyde (MDA) production was detected by a lipid peroxidation MDA assay kit. Superoxide dismutase (SOD) activity was analyzed by a SOD activity assay kit. RESULTS Circ_0000157 and BRD4 expression were upregulated, while miR-149-5p expression was downregulated in the blood of smokers with COPD and CSE-induced 16HBE cells compared with control groups. CSE treatment inhibited 16HBE cell proliferation and induced cell apoptosis, inflammation, and oxidative stress; however, these effects were remitted when circ_0000157 expression was decreased. In addition, circ_0000157 acted as a miR-149-5p sponge and regulated CSE-caused 16HBE cell damage by targeting miR-149-5p. The overexpression of BRD4, a target gene of miR-149-5p, attenuated the inhibitory effects of miR-149-5p introduction on CSE-induced cell damage. Further, circ_0000157 modulated BRD4 expression by associating with miR-149-5p in CSE-treated 16HBE cells. CONCLUSION Circ_0000157 knockdown ameliorated CSE-caused 16HBE cell damage by targeting the miR-149-5p/BRD4 pathway, providing a potential therapeutic strategy for clinic intervention in COPD.
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Affiliation(s)
- B Song
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - S Wu
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - L Ye
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Z Jing
- Department of Pharmacy, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China
| | - J Cao
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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Wu S, Mu C, Sun JJ, Hu XR, Yao YH. Role of Exosomal Non-Coding RNA in the Tumour Microenvironment of Genitourinary System Tumours. Technol Cancer Res Treat 2023; 22:15330338231198348. [PMID: 37981789 PMCID: PMC10664451 DOI: 10.1177/15330338231198348] [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: 06/12/2023] [Revised: 08/02/2023] [Accepted: 08/11/2023] [Indexed: 11/21/2023] Open
Abstract
In recent years, genitourinary system tumors are common in people of all ages, seriously affecting the quality of life of patients, the pathogenesis and treatment of these diseases are constantly being updated and improved. Exosomes, with a lipid bilayer that enable delivery of their contents into body fluids or other cells. Exosomes can regulate the tumor microenvironment, and play an important role in tumor development. In turn, cellular and non-cellular components of tumor microenvironment also affect the occurrence, progression, invasion and metastasis of tumor. Non-coding RNAs have been shown to be able to be ingested and released by exosomes, and are seen as a potential tool in cancer diagnosis and treatment. Here, we summarize the effect of non-coding RNAs of exosome contents on the tumor microenvironment of genitourinary system tumor, expound the significance of non-coding RNAs of exosome in the occurrence, development, diagnosis and treatment of cancers.
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Affiliation(s)
- Shuang Wu
- Basic Medical College, Department of Pathology, Guangdong Medical University, Dongguan, Guangdong, China
| | - Chao Mu
- Basic Medical College, Department of Pathology, Guangdong Medical University, Dongguan, Guangdong, China
| | - Jia-jia Sun
- Basic Medical College, Department of Pathology, Guangdong Medical University, Dongguan, Guangdong, China
| | - Xin-rong Hu
- Basic Medical College, Department of Pathology, Guangdong Medical University, Dongguan, Guangdong, China
| | - Yun-hong Yao
- Professor in Basic Medical College, Department of Pathology, Guangdong Medical University, Dongguan, Guangdong, China
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Huang J, Zeng X, Hu M, Ning H, Wu S, Peng R, Feng H. Prediction model for cognitive frailty in older adults: A systematic review and critical appraisal. Front Aging Neurosci 2023; 15:1119194. [PMID: 37122385 PMCID: PMC10130444 DOI: 10.3389/fnagi.2023.1119194] [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: 12/08/2022] [Accepted: 03/28/2023] [Indexed: 05/02/2023] Open
Abstract
Background Several prediction models for cognitive frailty (CF) in older adults have been developed. However, the existing models have varied in predictors and performances, and the methodological quality still needs to be determined. Objectives We aimed to summarize and critically appraise the reported multivariable prediction models in older adults with CF. Methods PubMed, Embase, Cochrane Library, Web of Science, Scopus, PsycINFO, CINAHL, China National Knowledge Infrastructure, and Wanfang Databases were searched from the inception to March 1, 2022. Included models were descriptively summarized and critically appraised by the Prediction Model Risk of Bias Assessment Tool (PROBAST). Results A total of 1,535 articles were screened, of which seven were included in the review, describing the development of eight models. Most models were developed in China (n = 4, 50.0%). The most common predictors were age (n = 8, 100%) and depression (n = 4, 50.0%). Seven models reported discrimination by the C-index or area under the receiver operating curve (AUC) ranging from 0.71 to 0.97, and four models reported the calibration using the Hosmer-Lemeshow test and calibration plot. All models were rated as high risk of bias. Two models were validated externally. Conclusion There are a few prediction models for CF. As a result of methodological shortcomings, incomplete presentation, and lack of external validation, the models' usefulness still needs to be determined. In the future, models with better prediction performance and methodological quality should be developed and validated externally. Systematic review registration www.crd.york.ac.uk/prospero, identifier CRD42022323591.
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Affiliation(s)
- Jundan Huang
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Xianmei Zeng
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Mingyue Hu
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Hongting Ning
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Shuang Wu
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Ruotong Peng
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha, China
- Oceanwide Health Management Institute, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Hui Feng,
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Shi Y, Jin X, Wu S, Liu J, Zhang H, Cai X, Yang Y, Zhang X, Wei J, Luo M, Zhou H, Zhou H, Huang A, Wang D. Release of hepatitis B virions is positively regulated by glucose-regulated protein 78 through direct interaction with preS1. J Med Virol 2023; 95:e28271. [PMID: 36321566 PMCID: PMC10107996 DOI: 10.1002/jmv.28271] [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: 03/08/2022] [Revised: 07/19/2022] [Accepted: 08/27/2022] [Indexed: 12/04/2022]
Abstract
In this study, we investigated the mechanism of hepatitis B virus (HBV)-enveloped particle release. Specifically, we used preS1 as a bait protein to screen host proteins using mass spectroscopy, with the results of immunofluorescence, western blot, co-immunoprecipitation, isothermal titration calorimetry, and pull-down assays identifying glucose-regulated protein (GRP)78 as a specific target for preS1 binding. We employed transcriptome sequencing, enzyme-linked immunosorbent assays, and particle gel assays to investigate the mechanism of GRP78-mediated positive regulation of HBV-enveloped particle release. Additionally, we performed phage-display, surface plasmon resonance, and molecular-docking assays to assess peptides inhibiting enveloped-particle release. We found that HBV upregulated GRP78 expression in liver cell lines and the serum of patients with chronic hepatitis B. Furthermore, GRP78 promoted the release of HBV-enveloped particles in vitro and in vivo within an HBV transgenic mouse model. Moreover, we identified interactions of preS1 peptides with GRP78 via hydrogen bonding and hydrophobic interactions, which effectively inhibited its interaction with HBV-enveloped particles and their subsequent release. These findings provide novel insights regarding HBV virion release, and demonstrated that GRP78 interacted with preS1 to positively regulate the release of HBV-enveloped particles, suggesting GRP78 as a potential therapeutic target for inhibiting HBV infection.
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Affiliation(s)
- Yueyuan Shi
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China.,College of Laboratory Medicine, Chongqing Medical University, Yuzhong, Chongqing, China.,Department of Clinical Laboratory, The People's Hospital of Yubei District of Chongqing City, Yubei, Chongqing, China
| | - Xin Jin
- College of Laboratory Medicine, Chongqing Medical University, Yuzhong, Chongqing, China.,Department of Clinical Laboratory, The Second Hospital of Harbin, Harbin City, Heilongjiang Province, China
| | - Shuang Wu
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China.,Department of Clinical Laboratory, The Affiliated Children Hospital of Xi'an Jiaotong University, Xi'an City, Shanxi Province, China
| | - Junye Liu
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China.,Department of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an City, Shanxi Province, China
| | - Hongpeng Zhang
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China.,Department of Blood Transfusion, Women and Children's Hospital of Chongqing Medical University, Yubei, Chongqing, China
| | - Xuefei Cai
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China
| | - Yuan Yang
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China
| | - Xiang Zhang
- College of Laboratory Medicine, Chongqing Medical University, Yuzhong, Chongqing, China
| | - Jie Wei
- College of Laboratory Medicine, Chongqing Medical University, Yuzhong, Chongqing, China
| | - Miao Luo
- Department of Clinical Laboratory, The People's Hospital of Yubei District of Chongqing City, Yubei, Chongqing, China
| | - Hua Zhou
- Department of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, China
| | - Huihao Zhou
- Research Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ailong Huang
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China
| | - Deqiang Wang
- Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Yuzhong, Chongqing, China.,College of Laboratory Medicine, Chongqing Medical University, Yuzhong, Chongqing, China
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241
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Wang C, Zong S, Cui X, Wang X, Wu S, Wang L, Liu Y, Lu Z. The effects of microglia-associated neuroinflammation on Alzheimer's disease. Front Immunol 2023; 14:1117172. [PMID: 36911732 PMCID: PMC9992739 DOI: 10.3389/fimmu.2023.1117172] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [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: 12/06/2022] [Accepted: 02/10/2023] [Indexed: 02/24/2023] Open
Abstract
Alzheimer's disease (AD) is defined as a severe chronic degenerative neurological disease in human. The pathogenic mechanism of AD has been convincingly elucidated by the "amyloid cascade hypothesis" with the main focus of the pathological accretion of β-amyloid (Aβ) peptides outside the cell. However, increasing evidence suggests that this hypothesis is weak in explaining the pathogenesis of AD. Neuroinflammation is crucial in the development of AD, which is proven by the elevated levels of inflammatory markers and the identification of AD risk genes relevant to the innate immune function. Here, we summarize the effects of microglia-mediated neuroinflammation on AD, focusing on the temporal and spatial changes in microglial phenotype, the interactions among microglia, Aβ, tau, and neurons, and the prospects and recent advances in neuroinflammation as a diagnostic and therapeutic target of AD.
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Affiliation(s)
- Cuicui Wang
- Department of Clinical Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Shuai Zong
- Department of Clinical Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiaolin Cui
- School of Medicine, Shandong University, Jinan, Shandong, China
| | - Xueying Wang
- Department of Clinical Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Shuang Wu
- School of Medicine, Shandong University, Jinan, Shandong, China
| | - Le Wang
- Department of Clinical Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yingchao Liu
- Department of Clinical Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Zhiming Lu
- Department of Clinical Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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242
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Liu Z, Wu S, Jin S, Ji S, Liu Q, Lu S, Cheng L. Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. IEEE Trans Pattern Anal Mach Intell 2023; 45:681-697. [PMID: 34982672 DOI: 10.1109/tpami.2021.3139918] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Predicting human motion from historical pose sequence is crucial for a machine to succeed in intelligent interactions with humans. One aspect that has been obviated so far, is the fact that how we represent the skeletal pose has a critical impact on the prediction results. Yet there is no effort that investigates across different pose representation schemes. We conduct an indepth study on various pose representations with a focus on their effects on the motion prediction task. Moreover, recent approaches build upon off-the-shelf RNN units for motion prediction. These approaches process input pose sequence sequentially and inherently have difficulties in capturing long-term dependencies. In this paper, we propose a novel RNN architecture termed AHMR (Attentive Hierarchical Motion Recurrent network) for motion prediction which simultaneously models local motion contexts and a global context. We further explore a geodesic loss and a forward kinematics loss for the motion prediction task, which have more geometric significance than the widely employed L2 loss. Interestingly, we applied our method to a range of articulate objects including human, fish, and mouse. Empirical results show that our approach outperforms the state-of-the-art methods in short-term prediction and achieves much enhanced long-term prediction proficiency, such as retaining natural human-like motions over 50 seconds predictions. Our codes are released.
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243
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Xu H, Zheng H, Zhang Q, Song H, Wang Q, Xiao J, Dong Y, Shen Z, Wang S, Wu S, Wei Y, Lu W, Zhu Y, Niu X. A Multicentre Clinical Study of Sarcoma Personalised Treatment Using Patient-Derived Tumour Xenografts. Clin Oncol (R Coll Radiol) 2023; 35:e48-e59. [PMID: 35781406 DOI: 10.1016/j.clon.2022.06.002] [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: 11/08/2021] [Revised: 04/21/2022] [Accepted: 06/09/2022] [Indexed: 01/04/2023]
Abstract
AIMS Medication for advanced sarcomas has not improved for three decades. Patient-derived tumour xenografts (PDTX) are a promising solution for developing new therapies and real-time personalised medicine because of their highly effective prediction of drug efficacy. However, there is a dearth of PDTX models for sarcomas due to the scarcity and heterogeneity of the disease. MATERIALS AND METHODS A multicentre clinical collaborative study (ChiCTR-OOC-17013617) was carried out. Fresh patient tumour tissues via resection or biopsy were used for the PDTX set-up. The standard medical care chosen by the physician was given to the patient, in parallel with testing on multiple regimens. The outcomes of patients' responses and PDTX tests were compared. Comprehensive analyses were carried out to assess the clinical value of PDTX for the treatment of sarcomas. Living tissues from successfully engrafted cases were deposited into a repository. RESULTS Forty-two cases, including 36 bone sarcomas and six soft-tissue sarcomas, were enrolled; the overall engraftment rate was 73.8%. Histopathological examination showed a 100% consistency between primary tumours and tumour grafts. The engraftment rate was independent of age, gender and sampling methods, but was associated with subtypes of tumour. The outgrowth time of tumour grafts could be associated with prognosis. Major somatic mutations in tumour grafts occurred primarily in common tumour driver genes. Poor prognosis was associated with the KMT2C mutation. A drug efficacy test showed complete concordance between the PDTX model and patients' responses in 17 regimens. CONCLUSION PDTX is an ideal preclinical model for sarcomas because of its faithful preservation of the heterogeneity of the disease, a satisfactory engraftment rate and high accuracy in its prediction of drug efficacy.
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Affiliation(s)
- H Xu
- Beijing Jishuitan Hospital, Beijing, China
| | - H Zheng
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - Q Zhang
- Beijing Jishuitan Hospital, Beijing, China
| | - H Song
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - Q Wang
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - J Xiao
- Changzheng Hospital, Shanghai, China
| | - Y Dong
- The Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Z Shen
- The Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - S Wang
- Spine Surgery, Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - S Wu
- Jinling Hospital, Nanjing, Jiangsu, China
| | - Y Wei
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - W Lu
- Zhongshan Hospital, Fudan University, Shanghai, China
| | - Y Zhu
- Nanjing Personal Oncology Biological Technology Co. Ltd, Nanjing, China
| | - X Niu
- Beijing Jishuitan Hospital, Beijing, China.
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244
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Wu S, Li G, Chen M, Zhang S, Zhou Y, Shi B, Zhang X. Association of heartbeat complexity with survival in advanced non-small cell lung cancer patients. Front Neurosci 2023; 17:1113225. [PMID: 37123354 PMCID: PMC10130527 DOI: 10.3389/fnins.2023.1113225] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/14/2023] [Indexed: 05/02/2023] Open
Abstract
Background Previous studies have shown that the predictive value of traditional linear (time domain and frequency domain) heart rate variability (HRV) for the survival of patients with advanced non-small cell lung cancer (NSCLC) is controversial. Nonlinear methods, based on the concept of complexity, have been used to evaluate HRV, providing a new means to reveal the physiological and pathological changes in HRV. This study aimed to assess the association between heartbeat complexity and overall survival in patients with advanced NSCLC. Methods This study included 78 patients with advanced NSCLC (mean age: 62.0 ± 9.3 years). A 5-min resting electrocardiogram of advanced NSCLC patients was collected to analyze the following HRV parameters: time domain indicators, i.e., standard deviation of the normal-normal intervals (SDNN) and root mean square of successive interval differences (RMSSD); frequency domain indicators, i.e., total power (TP), low frequency power (LF), high frequency power (HF), and the ratio of LF to HF (LF/HF); nonlinear HRV indicators characterizing heartbeat complexity, i.e., approximate entropy (ApEn), sample entropy (SampEn), and recurrence quantification analysis (RQA) indexes: mean diagonal line length (Lmean), maximal diagonal line length (Lmax), recurrence rate (REC), determinism (DET), and shannon entropy (ShanEn). Results Univariate analysis revealed that the linear frequency domain parameter HF and nonlinear RQA parameters Lmax, REC, and DET were significantly correlated with the survival of advanced NSCLC patients (all p < 0.05). After adjusting for confounders in the multivariate analysis, HF, REC, and DET were found to be independent prognostic factors for the survival of patients with advanced NSCLC (all p < 0.05). Conclusion There was an independent association between heartbeat complexity and survival in advanced NSCLC patients. The nonlinear analysis method based on RQA may provide valuable additional information for the prognostic stratification of patients with advanced NSCLC and may supplement the traditional time domain and frequency domain analysis methods.
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Affiliation(s)
- Shuang Wu
- School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China
- Department of Radiation Oncology, First Affiliated Hospital, Bengbu Medical College, Bengbu, Anhui, China
| | - Guangqiao Li
- School of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, China
- Anhui Key Laboratory of Computational Medicine and Intelligent Health, Bengbu Medical College, Bengbu, Anhui, China
| | - Man Chen
- Department of Oncology, Yangzhou Hospital of Traditional Chinese Medicine, Yangzhou, Jiangsu, China
| | - Sai Zhang
- School of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, China
- Anhui Key Laboratory of Computational Medicine and Intelligent Health, Bengbu Medical College, Bengbu, Anhui, China
| | - Yufu Zhou
- Department of Radiation Oncology, First Affiliated Hospital, Bengbu Medical College, Bengbu, Anhui, China
| | - Bo Shi
- School of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, China
- Anhui Key Laboratory of Computational Medicine and Intelligent Health, Bengbu Medical College, Bengbu, Anhui, China
- *Correspondence: Bo Shi,
| | - Xiaochun Zhang
- School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China
- Department of Oncology, Yangzhou Hospital of Traditional Chinese Medicine, Yangzhou, Jiangsu, China
- Xiaochun Zhang,
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245
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Cao Z, Aharonian F, An Q, Bai LX, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai JT, Cao Z, Chang J, Chang JF, Chen ES, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng HL, Cheng N, Cheng YD, Cui SW, Cui XH, Cui YD, D'Ettorre Piazzoli B, Dai BZ, Dai HL, Dai ZG, Della Volpe D, Duan KK, Fan JH, Fan YZ, Fan ZX, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng XT, Feng YL, Gao B, Gao CD, Gao LQ, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Gong GH, Gou QB, Gu MH, Guo FL, Guo JG, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He SL, He XB, He Y, Heller M, Hor YK, Hou C, Hou X, Hu HB, Hu Q, Hu S, Hu SC, Hu XJ, Huang DH, Huang WH, Huang XT, Huang XY, Huang Y, Huang ZC, Ji XL, Jia HY, Jia K, Jiang K, Jiang ZJ, Jin M, Kang MM, Ke T, Kuleshov D, Levochkin K, Li BB, Li C, Li C, Li F, Li HB, Li HC, Li HY, Li J, Li J, Li J, Li K, Li WL, Li XR, Li X, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JS, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Long WJ, Lu R, Luo Q, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Masood A, Min Z, Mitthumsiri W, Nan YC, Ou ZW, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Qi YQ, Qiao BQ, Qin JJ, Ruffolo D, Sáiz A, Shao CY, Shao L, Shchegolev O, Sheng XD, Shi JY, Song HC, Stenkin YV, Stepanov V, Su Y, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang ZB, Tian WW, Wang BD, Wang C, Wang H, Wang HG, Wang JC, Wang JS, Wang LP, Wang LY, Wang R, Wang RN, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang YP, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao DX, Xiao G, Xin GG, Xin YL, Xing Y, Xiong Z, Xu DL, Xu RX, Xue L, Yan DH, Yan JZ, Yang CW, Yang FF, Yang HW, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zeng ZK, Zha M, Zhai XX, Zhang BB, Zhang F, Zhang HM, Zhang HY, Zhang JL, Zhang LX, Zhang L, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang YL, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zheng Y, Zhou B, Zhou H, Zhou JN, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X, Ando S, Chianese M, Fiorillo DFG, Miele G, Ng KCY. Constraints on Heavy Decaying Dark Matter from 570 Days of LHAASO Observations. Phys Rev Lett 2022; 129:261103. [PMID: 36608208 DOI: 10.1103/physrevlett.129.261103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 08/19/2022] [Accepted: 10/27/2022] [Indexed: 06/17/2023]
Abstract
The kilometer square array (KM2A) of the large high altitude air shower observatory (LHAASO) aims at surveying the northern γ-ray sky at energies above 10 TeV with unprecedented sensitivity. γ-ray observations have long been one of the most powerful tools for dark matter searches, as, e.g., high-energy γ rays could be produced by the decays of heavy dark matter particles. In this Letter, we present the first dark matter analysis with LHAASO-KM2A, using the first 340 days of data from 1/2-KM2A and 230 days of data from 3/4-KM2A. Several regions of interest are used to search for a signal and account for the residual cosmic-ray background after γ/hadron separation. We find no excess of dark matter signals, and thus place some of the strongest γ-ray constraints on the lifetime of heavy dark matter particles with mass between 10^{5} and 10^{9} GeV. Our results with LHAASO are robust, and have important implications for dark matter interpretations of the diffuse astrophysical high-energy neutrino emission.
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Affiliation(s)
- Zhen Cao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - F Aharonian
- Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, 2 Dublin, Ireland
- Max-Planck-Institut for Nuclear Physics, P.O. Box 103980, 69029 Heidelberg, Germany
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - L X Bai
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Y X Bai
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - D Bastieri
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - X J Bi
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y J Bi
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J T Cai
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Zhe Cao
- State Key Laboratory of Particle Detection and Electronics, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - J Chang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J F Chang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - E S Chen
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Liang Chen
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Liang Chen
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Long Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M J Chen
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - M L Chen
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Q H Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - S H Chen
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - S Z Chen
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - T L Chen
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - H L Cheng
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - N Cheng
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y D Cheng
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - S W Cui
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - X H Cui
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Y D Cui
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - B D'Ettorre Piazzoli
- Dipartimento di Fisica dell'Università di Napoli "Federico II," Complesso Universitario di Monte Sant'Angelo, via Cinthia, 80126 Napoli, Italy
| | - B Z Dai
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - H L Dai
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Z G Dai
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - D Della Volpe
- Département de Physique Nucléaire et Corpusculaire, Faculté de Sciences, Université de Genève, 24 Quai Ernest Ansermet, 1211 Geneva, Switzerland
| | - K K Duan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J H Fan
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y Z Fan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Z X Fan
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J Fang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - K Fang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - L Feng
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S H Feng
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X T Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Y L Feng
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - B Gao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - C D Gao
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - L Q Gao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Q Gao
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - W Gao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - W K Gao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - M M Ge
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - L S Geng
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q B Gou
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - M H Gu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - F L Guo
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - J G Guo
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X L Guo
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y Y Guo
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y A Han
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - H H He
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - H N He
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S L He
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - X B He
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - Y He
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M Heller
- Département de Physique Nucléaire et Corpusculaire, Faculté de Sciences, Université de Genève, 24 Quai Ernest Ansermet, 1211 Geneva, Switzerland
| | - Y K Hor
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - C Hou
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X Hou
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - H B Hu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Q Hu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S Hu
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - S C Hu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X J Hu
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - D H Huang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - W H Huang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X T Huang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X Y Huang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y Huang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Z C Huang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - X L Ji
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H Y Jia
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - K Jia
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - K Jiang
- State Key Laboratory of Particle Detection and Electronics, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Z J Jiang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Jin
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - M M Kang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - T Ke
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - D Kuleshov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - K Levochkin
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - B B Li
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Cong Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - F Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H B Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - H C Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - H Y Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Jian Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Jie Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - K Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - W L Li
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X R Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Xin Li
- State Key Laboratory of Particle Detection and Electronics, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Xin Li
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Z Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Zhe Li
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Zhuo Li
- School of Physics, Peking University, 100871 Beijing, China
| | - E W Liang
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Y F Liang
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - S J Lin
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - B Liu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - C Liu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - D Liu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - H Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H D Liu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - J Liu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J L Liu
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - J S Liu
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - J Y Liu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - M Y Liu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - R Y Liu
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - S M Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - W Liu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y Liu
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y N Liu
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - W J Long
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - R Lu
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Q Luo
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - H K Lv
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - B Q Ma
- School of Physics, Peking University, 100871 Beijing, China
| | - L L Ma
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X H Ma
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J R Mao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - A Masood
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Z Min
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - W Mitthumsiri
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Y C Nan
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Z W Ou
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - B Y Pang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - P Pattarakijwanich
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Z Y Pei
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - M Y Qi
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y Q Qi
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - B Q Qiao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J J Qin
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - D Ruffolo
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - A Sáiz
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - C Y Shao
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - L Shao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - O Shchegolev
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - X D Sheng
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J Y Shi
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - H C Song
- School of Physics, Peking University, 100871 Beijing, China
| | - Yu V Stenkin
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - V Stepanov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Y Su
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Q N Sun
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - X N Sun
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Z B Sun
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - P H T Tam
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - Z B Tang
- State Key Laboratory of Particle Detection and Electronics, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - W W Tian
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - B D Wang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - C Wang
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - H Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H G Wang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - J C Wang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - J S Wang
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - L P Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - L Y Wang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - R Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - R N Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - W Wang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - X G Wang
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - X Y Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Y Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y D Wang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y J Wang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y P Wang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Z H Wang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Z X Wang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Zhen Wang
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zheng Wang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - D M Wei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Wei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y J Wei
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - T Wen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - C Y Wu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - H R Wu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - S Wu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X F Wu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y S Wu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - S Q Xi
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J Xia
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Xia
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - G M Xiang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D X Xiao
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - G Xiao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - G G Xin
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y L Xin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Xing
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Z Xiong
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - D L Xu
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - R X Xu
- School of Physics, Peking University, 100871 Beijing, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D H Yan
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - J Z Yan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - C W Yang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - F F Yang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H W Yang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - J Y Yang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - L L Yang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - M J Yang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - R Z Yang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - S B Yang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Y H Yao
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Z G Yao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y M Ye
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - L Q Yin
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - N Yin
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X H You
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Z Y You
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y H Yu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Q Yuan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - H Yue
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - H D Zeng
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T X Zeng
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W Zeng
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Z K Zeng
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - M Zha
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X X Zhai
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - B B Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H M Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - H Y Zhang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - J L Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - L X Zhang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Li Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Lu Zhang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - P F Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P P Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - R Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S B Zhang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - S R Zhang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S S Zhang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - X P Zhang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Y F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y L Zhang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - Yi Zhang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Yong Zhang
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - B Zhao
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - J Zhao
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - L Zhao
- State Key Laboratory of Particle Detection and Electronics, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - L Z Zhao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S P Zhao
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - F Zheng
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - Y Zheng
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - B Zhou
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - H Zhou
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - J N Zhou
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - P Zhou
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - R Zhou
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - X X Zhou
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - C G Zhu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - F R Zhu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhu
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - K J Zhu
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - X Zuo
- Key Laboratory of Particle Astrophyics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- TIANFU Cosmic Ray Research Center, Chengdu, Sichuan, China
| | - S Ando
- GRAPPA Institute, University of Amsterdam, 1098 XH Amsterdam, The Netherlands
- Kavli Institute for the Physics and Mathematics of the Universe (KavliIPMU,WPI), University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Chianese
- Dipartimento di Fisica "Ettore Pancini," Università degli studi di Napoli "Federico II", Complesso Univ. Monte S. Angelo, I-80126 Napoli, Italy
- INFN - Sezione di Napoli, Complesso Univ. Monte S. Angelo, I-80126 Napoli, Italy
| | - D F G Fiorillo
- Dipartimento di Fisica "Ettore Pancini," Università degli studi di Napoli "Federico II", Complesso Univ. Monte S. Angelo, I-80126 Napoli, Italy
- INFN - Sezione di Napoli, Complesso Univ. Monte S. Angelo, I-80126 Napoli, Italy
- Niels Bohr International Academy, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
| | - G Miele
- Dipartimento di Fisica "Ettore Pancini," Università degli studi di Napoli "Federico II", Complesso Univ. Monte S. Angelo, I-80126 Napoli, Italy
- INFN - Sezione di Napoli, Complesso Univ. Monte S. Angelo, I-80126 Napoli, Italy
- Scuola Superiore Meridionale, Università degli studi di Napoli "Federico II", Largo San Marcellino 10, 80138 Napoli, Italy
| | - K C Y Ng
- Department of Physics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
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246
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Abstract
Microorganisms living on the surface and inside the human body play an important role in the physiological activities of the human body. The largest microecosystem in the human body is the gut microbiome. Calcium disorders are found in many diseases. For example, patients with chronic renal insufficiency present with secondary hyperparathyroidism, which is caused by a calcium imbalance in the body. In addition, calcium dysregulation may affect lipid metabolism in the liver through the calmodulator pathway, leading to cirrhosis, etc. Currently, a considerable number of probiotics have been proven to enhance the body's absorption of calcium. This paper reviews the effects of intestinal flora and related factors such as short-chain fatty acids, estrogen, immune factors and vitamin D on calcium balance.
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Affiliation(s)
- Jiali Wang
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, BeiJing, China
| | - Shuang Wu
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yinshan Zhang
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Jiao Yang
- Department of Pathology, Changsha Medical School, Changsha, Hunan, China,*Correspondence: Jiao Yang,
| | - Zhongliang Hu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China,Zhongliang Hu,
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247
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Wu S, Liu Q, Zhang Q, Zhou Y, Liu M, Zeng Y. Cu(BF 4) 2/AC-Catalyzed Synthesis of N-Substituted Anilines, N-Substituted 1,6-Naphthyridin-5(6 H)-one, and Isoquinolin-1(2 H)-one. ACS Omega 2022; 7:46174-46182. [PMID: 36570313 PMCID: PMC9773803 DOI: 10.1021/acsomega.2c04299] [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] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Herein, we report practical Cu(BF4)2/activated carbon-catalyzed amination of various anilines, isoquinolinone, and naphthyridinone with aryl boronic acids. The ultrasonic and rotary evaporation treatment of the mixture of aq. Cu(BF4)2 and activated carbon in methanol afforded a novel Cu(II)-catalyst, which is air-stable and can be effectively applied in the Chan-Lam coupling reaction. The products of N-arylation were isolated in good to excellent yields at low catalytic loading. And Cu(BF4)2/AC also showed good reusability.
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Affiliation(s)
- Shuang Wu
- Key
Laboratory of the Assembly and Application of Organic Functional Molecules
of Hunan Province, Hunan Normal University, Changsha 410081, China
- Laboratory
of Chemical Biology and Traditional Chinese Medicine Research (Ministry
of Education of China), Hunan Normal University, Changsha 410081, China
| | - Qiong Liu
- Institute
of Analysis, Guangdong Academy of Sciences
(China National Analytical Center, Guangzhou), Guangzhou 510070, Guangdong, China
| | - Quanfeng Zhang
- Key
Laboratory of the Assembly and Application of Organic Functional Molecules
of Hunan Province, Hunan Normal University, Changsha 410081, China
- Laboratory
of Chemical Biology and Traditional Chinese Medicine Research (Ministry
of Education of China), Hunan Normal University, Changsha 410081, China
| | - Ya Zhou
- Key
Laboratory of the Assembly and Application of Organic Functional Molecules
of Hunan Province, Hunan Normal University, Changsha 410081, China
- Laboratory
of Chemical Biology and Traditional Chinese Medicine Research (Ministry
of Education of China), Hunan Normal University, Changsha 410081, China
| | - Meiyan Liu
- Key
Laboratory of the Assembly and Application of Organic Functional Molecules
of Hunan Province, Hunan Normal University, Changsha 410081, China
- Laboratory
of Chemical Biology and Traditional Chinese Medicine Research (Ministry
of Education of China), Hunan Normal University, Changsha 410081, China
| | - Youlin Zeng
- Key
Laboratory of the Assembly and Application of Organic Functional Molecules
of Hunan Province, Hunan Normal University, Changsha 410081, China
- Laboratory
of Chemical Biology and Traditional Chinese Medicine Research (Ministry
of Education of China), Hunan Normal University, Changsha 410081, China
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248
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Luo M, She Y, Jiang Y, Xie L, Yang C, Qiu Y, Cai R, Li Y, Xu L, Hu L, Wang L, Wu S, Chen Q, Shi X, Jiang M, Hu Q. Population dynamics and antimicrobial resistance of Salmonella Derby ST40 from Shenzhen, China. Front Microbiol 2022; 13:1065672. [PMID: 36605513 PMCID: PMC9808032 DOI: 10.3389/fmicb.2022.1065672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 10/10/2022] [Accepted: 11/28/2022] [Indexed: 01/07/2023] Open
Abstract
Salmonella enterica subsp. enterica serovar Derby (S. Derby) is one of the most common serotypes responsible for salmonellosis in humans and animals. The two main sequence types (ST) observed in China are ST40 and ST71, with ST40 presently being the most common in Shenzhen. Recent years have seen an increasing number of cases of salmonella caused by ST40 S. Derby, but the epidemiology is not clear. We gathered 314 ST40 S. Derby isolates from food and patient samples for 11 years in Shenzhen; 76 globally prevalent representative strains were also collected. Whole-genome sequencing (WGS) combined with drug resistance phenotyping was used to examine population structural changes, inter-host associations, drug resistance characteristics, and the food-transmission risks of ST40 S. Derby in Shenzhen over this period. The S. enterica evolutionary tree is divided into five clades, and the strains isolated in Shenzhen were primarily concentrated in Clades 2, 4, and 5, and thus more closely related to strains from Asian (Thailand and Vietnam) than European countries. Our 11-year surveillance of S. Derby in Shenzhen showed that Clades 2, 4, and 5 are now the dominant epidemic branches, and branches 2 and 5 are heavily multi-drug resistant. The main resistance pattern is ampicillin-tetracycline-ciprofloxacin-chloramphenicol-nalidixic acid-streptomycin-sulfamethoxazole/trimethoprim. This may lead to a trend of increasing resistance to ST40 S. Derby in Shenzhen. Using a segmentation of ≤3 SNP among clone clusters, we discovered that Clades 2 and 4 contained multiple clonal clusters of both human- and food-derived strains. The food-derived strains were mainly isolated from pig liver, suggesting this food has a high risk of causing disease outbreaks in Shenzhen.
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Affiliation(s)
- Miaomiao Luo
- School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Yiying She
- School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Yixiang Jiang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Li Xie
- School of Public Health, University of South China, Hengyang, China
| | - Chao Yang
- The Center for Microbes, Development and Health, CAS Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
| | - Yaqun Qiu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Rui Cai
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yinghui Li
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Liangcai Xu
- Shenzhen Futian District Center for Disease Control and Prevention, Shenzhen, China
| | - Lulu Hu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Lei Wang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Shuang Wu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Qiongcheng Chen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xiaolu Shi
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Min Jiang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China,Min Jiang,
| | - Qinghua Hu
- School of Public Health, Shanxi Medical University, Taiyuan, China,Shenzhen Center for Disease Control and Prevention, Shenzhen, China,*Correspondence: Qinghua Hu,
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249
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Xu X, Wu S, Fang W, Yu Z, Jia Z, Wang X, Bai J, Lu Q. Bandwidth Optimization of MEMS Accelerometers in Fluid Medium Environment. Sensors (Basel) 2022; 22:9855. [PMID: 36560223 PMCID: PMC9787731 DOI: 10.3390/s22249855] [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] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/08/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
There is a constraint between the dynamic range and the bandwidth of MEMS accelerometers. When the input acceleration is comparatively large, the squeeze film damping will increase dramatically with the increase in the oscillation amplitude, resulting in a decrease in bandwidth. Conventional models still lack a complete vibration response analysis in large amplitude ratios and cannot offer a suitable guide in the optimization of such devices. In this paper, the vibration response analysis of the sensing unit of an accelerometer in large amplitude ratios is first completed. Then, the optimal design of the sensing unit is proposed to solve the contradiction between the dynamic range and the bandwidth of the accelerometer. Finally, the results of the vibration experiment prove that the maximum bandwidth can be achieved with 0~10g external acceleration, which shows the effectiveness of the design guide. The new vibration analysis with the complete model of squeeze film damping is applicable to all sensitive structures based on vibration, not limited to the MEMS accelerometer studied in this thesis. The bandwidth optimal scheme also provides a strong reference for similar structures with large oscillation amplitude ratios.
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Affiliation(s)
- Xiang Xu
- Frontiers Science Center for Flexible Electronics (FSCFE), MIIT Key Laboratory of Flexible Electronics (KLoFE), Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Institute of Flexible Electronics (IFE), Ningbo Institute of Northwestern Polytechnical University, Northwestern Polytechnical University, Xi’an 710072, China
- State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
| | - Shuang Wu
- Frontiers Science Center for Flexible Electronics (FSCFE), MIIT Key Laboratory of Flexible Electronics (KLoFE), Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Institute of Flexible Electronics (IFE), Ningbo Institute of Northwestern Polytechnical University, Northwestern Polytechnical University, Xi’an 710072, China
| | - Weidong Fang
- State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
| | - Zhe Yu
- State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
| | - Zeyu Jia
- The Key Laboratory of Information Fusion Technology, Ministry of Education, School of Automation, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an 710072, China
| | - Xiaoxu Wang
- The Key Laboratory of Information Fusion Technology, Ministry of Education, School of Automation, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an 710072, China
| | - Jian Bai
- State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
| | - Qianbo Lu
- Frontiers Science Center for Flexible Electronics (FSCFE), MIIT Key Laboratory of Flexible Electronics (KLoFE), Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Institute of Flexible Electronics (IFE), Ningbo Institute of Northwestern Polytechnical University, Northwestern Polytechnical University, Xi’an 710072, China
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250
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Wu S, Kim E, Vethanayagam D, Zhao R. Indoor partitioning and potential thirdhand exposure to carbonyl flavoring agents added in e-cigarettes and hookah tobacco. Environ Sci Process Impacts 2022; 24:2294-2309. [PMID: 36408779 DOI: 10.1039/d2em00365a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Flavoring agents added to the e-cigarettes and hookah tobacco have increased the attractiveness of novel nicotine products. Many widely used flavorings are carbonyls, which are toxic to humans. In an indoor environment, residents can be exposed to such harmful flavorings previously emitted to the surrounding environment, through a process termed thirdhand exposure. The recent discovery of a large volume of indoor reservoirs emphasizes the importance of indoor partitioning, which is responsible for thirdhand exposure. Indoor partitioning can be expressed with partitioning coefficients, such as Henry's law solubility constant (H). However, reliable H values for many key flavorings are currently lacking. To better understand their environmental behavior, this study experimentally determined the effective Henry's law constant (Hcps,eff) using the inert gas stripping (IGS) method. Further, the influence of the hydration process for target flavorings was quantified using proton nuclear magnetic resonance (1H NMR) spectroscopy. We found that hydration of α-dicarbonyls (diacetyl and 2,3-pentanedione) enhanced their Hcps,eff from their intrinsic Henry's law constant (Hcps) by a factor of 3.52 and 2.88, respectively. The two-dimensional partitioning plots were employed to simulate the indoor phase distribution and evaluate the pathways of human exposure. Our findings show that the indoor partitioning of many harmful flavorings is highly sensitive to temperature and the size of indoor reservoirs, indicating that residents are likely to experience third-hand exposure.
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Affiliation(s)
- Shuang Wu
- Department of Chemistry, University of Alberta, Edmonton, Alberta, T6G 2G2, Canada.
| | - Erica Kim
- Department of Chemistry, University of Alberta, Edmonton, Alberta, T6G 2G2, Canada.
| | - Dilini Vethanayagam
- Department of Medicine, University of Alberta, Edmonton, Alberta, T6G 2G2, Canada
| | - Ran Zhao
- Department of Chemistry, University of Alberta, Edmonton, Alberta, T6G 2G2, Canada.
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