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Feng H, Han Y, Wang Y, Chai DF, Ran J, Zhang W, Zhang Z, Dong G, Qi M, Guo D. Advancing overall water splitting via phase-engineered amorphous/crystalline interface: A novel strategy to accelerate proton-coupled electron transfer. J Colloid Interface Sci 2024; 667:237-248. [PMID: 38636225 DOI: 10.1016/j.jcis.2024.04.085] [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: 02/06/2024] [Revised: 03/24/2024] [Accepted: 04/12/2024] [Indexed: 04/20/2024]
Abstract
Traditional phase engineering enhances conductivity or activity by fully converting electrocatalytic materials into either a crystalline or an amorphous state, but this approach often faces limitations. Thus, a practical solution entails balancing the dynamic attributes of both phases to maximize an electrocatalyst's functionality is urgently needed. Herein, in this work, Co/Co2C crystals have been assembled on the amorphous N, S co-doped porous carbon (NSPC) through hydrothermal and calcination processes. The stable biphase structure and amorphous/crystalline (A/C) interface enhance conductivity and intrinsic activity. Moreover, the adsorption ability of water molecules and intermediates is improved significantly attributed to the rich oxygen-containing groups, unsaturated bonds, and defect sites of NSPC, which accelerates proton-coupled electron transfer (PCET) and overall water splitting. Consequently, A/C-Co/Co2C/NSPC (Co/Co2C/NSPC with amorphous/crystalline interface) exhibits outstanding behavior for oxygen evolution reaction (OER) and hydrogen evolution reaction (HER), requiring the overpotential of 240.0 mV and 70.0 mV to achieve 10 mA cm-2. Moreover, an electrolyzer assembled by A/C-Co/Co2C/NSPC-3 (anode) and A/C-Co/Co2C/NSPC-2 (cathode) demonstrates a low drive voltage of 1.54 V during overall water splitting process. Overall, this work has pioneered the coexistence of crystalline/amorphous phases in electrocatalysts and provided new insights into phase engineering.
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Affiliation(s)
- Hui Feng
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Yue Han
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Yutong Wang
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Dong-Feng Chai
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Key Laboratory of Fine Chemicals of College of Heilongjiang Province, Qiqihar University, Qiqihar 161006, China.
| | - Jianxin Ran
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Wenzhi Zhang
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Key Laboratory of Fine Chemicals of College of Heilongjiang Province, Qiqihar University, Qiqihar 161006, China
| | - Zhuanfang Zhang
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Key Laboratory of Fine Chemicals of College of Heilongjiang Province, Qiqihar University, Qiqihar 161006, China
| | - Guohua Dong
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Key Laboratory of Fine Chemicals of College of Heilongjiang Province, Qiqihar University, Qiqihar 161006, China
| | - Meili Qi
- School of Materials Science and Engineering, Jiamusi University, Jiamusi 154007, China.
| | - Dongxuan Guo
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Key Laboratory of Fine Chemicals of College of Heilongjiang Province, Qiqihar University, Qiqihar 161006, China.
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Dong S, Fang S, Li J, Zheng W, Wang Z, Hu J, Zhao X, Liu Z, Feng H, Zhang Y. Comparative metabolic profiling of different pakchoi cultivars reveals nutritional diversity via widely targeted metabolomics. Food Chem X 2024; 22:101379. [PMID: 38645937 PMCID: PMC11031806 DOI: 10.1016/j.fochx.2024.101379] [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: 12/08/2023] [Revised: 04/05/2024] [Accepted: 04/09/2024] [Indexed: 04/23/2024] Open
Abstract
Pakchoi (Brassica rapa ssp. chinensis) is cultivated for its high nutritional value; however, the nutritional diversity of different pakchoi cultivars is rarely investigated. Herein, we performed widely targeted metabolic profiling analyses of five popular pakchois. A total of 670 metabolites were detected, which could be divided into 13 categories. The accumulation patterns of main nutritional metabolites among the five pakchois were significantly different and complementary. Moreover, the pakchoi cultivar 'QYC' showed quite different metabolomic profiles compared with other pakchois. The Venn diagram showed that the 75 differential metabolites were shared among the comparison groups ('QYC' vs. 'MET'/ 'NBC'/ 'PPQ'/ 'XQC'), of which 52 metabolites were upregulated in 'QYC'. The phenolic acids had the largest variations between 'QYC' and the other pakchoi cultivars. These findings expand metabolomic information on different pakchoi cultivars and further provide new insights into the selection and breeding of excellent pakchoi cultivars.
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Affiliation(s)
| | | | - Jinyan Li
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
| | - Wenfeng Zheng
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
| | - Zhe Wang
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
| | - Junlong Hu
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
| | - Xiuqi Zhao
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
| | - Zhiyong Liu
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
| | - Hui Feng
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
| | - Yun Zhang
- Department of Horticulture, Shenyang Agricultural University, Shenyang, SY, China
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Zeng S, Yu L, He P, Feng H, Wang J, Zhang H, Song Y, Liu R, Li Y. Integrated transcriptome and metabolome analysis reveals the regulation of phlorizin synthesis in Lithocarpus polystachyus under nitrogen fertilization. BMC Plant Biol 2024; 24:366. [PMID: 38711037 DOI: 10.1186/s12870-024-05090-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 05/01/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Nitrogen (N) is essential for plant growth and development. In Lithocarpus polystachyus Rehd., a species known for its medicinal and food value, phlorizin is the major bioactive compound with pharmacological activity. Research has revealed a positive correlation between plant nitrogen (N) content and phlorizin synthesis in this species. However, no study has analyzed the effect of N fertilization on phlorizin content and elucidated the molecular mechanisms underlying phlorizin synthesis in L. polystachyus. RESULTS A comparison of the L. polystachyus plants grown without (0 mg/plant) and with N fertilization (25, 75, 125, 175, 225, and 275 mg/plant) revealed that 75 mg N/plant fertilization resulted in the greatest seedling height, ground diameter, crown width, and total phlorizin content. Subsequent analysis of the leaves using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) detected 150 metabolites, including 42 flavonoids, that were differentially accumulated between the plants grown without and with 75 mg/plant N fertilization. Transcriptomic analysis of the L. polystachyus plants via RNA sequencing revealed 162 genes involved in flavonoid biosynthesis, among which 53 significantly differed between the N-treated and untreated plants. Fertilization (75 mg N/plant) specifically upregulated the expression of the genes phenylalanine ammonia-lyase (PAL), 4-coumarate-CoA ligase (4CL), and phlorizin synthase (PGT1) but downregulated the expression of trans-cinnamate 4-monooxygenase (C4H), shikimate O-hydroxycinnamoyltransferase (HCT), and chalcone isomerase (CHI), which are related to phlorizin synthesis. Finally, an integrated analysis of the transcriptome and metabolome revealed that the increase in phlorizin after N fertilization was consistent with the upregulation of phlorizin biosynthetic genes. Quantitative real-time PCR (qRT‒PCR) was used to validate the RNA sequencing data. Thus, our results indicated that N fertilization increased phlorizin metabolism in L. polystachyus by regulating the expression levels of the PAL, PGT1, 5-O-(4-coumaroyl)-D-quinate 3'-monooxygenase (C3'H), C4H, and HCT genes. CONCLUSIONS Our results demonstrated that the addition of 75 mg/plant N to L. polystachyus significantly promoted the accumulation of flavonoids, including phlorizin, and the expression of flavonoid synthesis-related genes. Under these conditions, the genes PAL, 4CL, and PGT1 were positively correlated with phlorizin accumulation, while C4H, CHI, and HCT were negatively correlated with phlorizin accumulation. Therefore, we speculate that PAL, 4CL, and PGT1 participate in the phlorizin pathway under an optimal N environment, regulating phlorizin biosynthesis. These findings provide a basis for improving plant bioactive constituents and serve as a reference for further pharmacological studies.
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Affiliation(s)
- Suping Zeng
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China
- Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Longhua Yu
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China
| | - Ping He
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China
| | - Hui Feng
- Xinyu University, School of Public Health and Health, Xinyu, 338004, China
| | - Jia Wang
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China
| | - Huacong Zhang
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China
| | - Yunxia Song
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China
| | - Ren Liu
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China
| | - Yueqiao Li
- Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu, 336600, China.
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Zhao H, Feng H, Du L. Diagnosis and treatment intraorbital foreign body: A case report. Clin Case Rep 2024; 12:e8733. [PMID: 38689682 PMCID: PMC11060878 DOI: 10.1002/ccr3.8733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/12/2024] [Accepted: 03/15/2024] [Indexed: 05/02/2024] Open
Abstract
Key Clinical Message Wooden foreign bodies inside the eye socket are an uncommon kind of eye injury that falls into a distinct category of intraorbital foreign bodies. Due to the wide range of clinical presentations and imaging features of intraorbital wooden foreign bodies, misinterpretation and failure to diagnose correctly often happen. Abstract Wooden foreign bodies inside the eye socket are an uncommon kind of eye injury that falls into a distinct category of intraorbital foreign bodies. The condition mostly manifested in individuals of youthful and middle age. Due to the wide range of clinical presentations and imaging features of intraorbital wooden foreign bodies, misinterpretation and failure to diagnose correctly often happen during the first examination. The risk of orbital infection might greatly rise if there is a delay in diagnosing woody foreign substances inside the eye socket. The majority of patients need surgical intervention as the recommended course of therapy. Nevertheless, it is essential to avoid disregarding undetected diagnoses and the existence of foreign material remnants after prior surgical procedures. Hence, achieving a precise diagnosis relies on a comprehensive assessment of the patient's trauma history, meticulous examination of the eyes, vigilant monitoring of clinical symptoms, accurate imaging techniques such as magnetic resonance imaging (MRI) or computerized tomography (CT), and prompt and thorough removal of wooden foreign objects within the eye socket.
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Affiliation(s)
- Hongqing Zhao
- Nanbu County People's HospitalNanchongSichuan ProvinceChina
- 77th Army HospitalLeshanSichuan ProvinceChina
| | - Hui Feng
- 77th Army HospitalLeshanSichuan ProvinceChina
| | - Lei Du
- 77th Army HospitalLeshanSichuan ProvinceChina
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Zhang X, Li H, Wang H, Zhang Q, Deng X, Zhang S, Wang L, Guo C, Zhao F, Yin Y, Zhou T, Zhong J, Feng H, Chen W, Zhang J, Feng H, Hu R. Iron/ROS/Itga3 mediated accelerated depletion of hippocampal neural stem cell pool contributes to cognitive impairment after hemorrhagic stroke. Redox Biol 2024; 71:103086. [PMID: 38367510 PMCID: PMC10883838 DOI: 10.1016/j.redox.2024.103086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/11/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024] Open
Abstract
Hemorrhagic stroke, specifically intracerebral hemorrhage (ICH), has been implicated in the development of persistent cognitive impairment, significantly compromising the quality of life for affected individuals. Nevertheless, the precise underlying mechanism remains elusive. Here, we report for the first time that the accumulation of iron within the hippocampus, distal to the site of ICH in the striatum, is causally linked to the observed cognitive impairment with both clinical patient data and animal model. Both susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM) demonstrated significant iron accumulation in the hippocampus of ICH patients, which is far from the actual hematoma. Logistical regression analysis and multiple linear regression analysis identified iron level as an independent risk factor with a negative correlation with post-ICH cognitive impairment. Using a mouse model of ICH, we demonstrated that iron accumulation triggers an excessive activation of neural stem cells (NSCs). This overactivation subsequently leads to the depletion of the NSC pool, diminished neurogenesis, and the onset of progressive cognitive dysfunction. Mechanistically, iron accumulation elevated the levels of reactive oxygen species (ROS), which downregulated the expression of Itga3. Notably, pharmacological chelation of iron accumulation or scavenger of aberrant ROS levels, as well as conditionally overexpressed Itga3 in NSCs, remarkably attenuated the exhaustion of NSC pool, abnormal neurogenesis and cognitive decline in the mouse model of ICH. Together, these results provide molecular insights into ICH-induced cognitive impairment, shedding light on the value of maintaining NSC pool in preventing cognitive dysfunction in patients with hemorrhagic stroke or related conditions.
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Affiliation(s)
- Xuyang Zhang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Huanhuan Li
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Haomiao Wang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Qian Zhang
- Clinical Medical Research Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Xueyun Deng
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China; Department of Neurosurgery, The Affiliated Nanchong Central Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Shuixian Zhang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Long Wang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Chao Guo
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Fengchun Zhao
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Yi Yin
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Tengyuan Zhou
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Jun Zhong
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Hui Feng
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Wei Chen
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Jun Zhang
- Department of Neurobiology, College of Basic Medical Sciences, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Hua Feng
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China
| | - Rong Hu
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), 400038, Chongqing, China.
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Feng H, Qiao QC, Luo QF, Zhou JY, Lei F, Chen Y, Wen SY, Chen WH, Pang YJ, Hu ZA, Jiang YB, Zhang XY, Zhou TY, Zhang XY, Yang N, Zhang J, Hu R. Orexin Neurons to Sublaterodorsal Tegmental Nucleus Pathway Prevents Sleep Onset REM Sleep-Like Behavior by Relieving the REM Sleep Pressure. Research (Wash D C) 2024; 7:0355. [PMID: 38694202 PMCID: PMC11062508 DOI: 10.34133/research.0355] [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] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 03/25/2024] [Indexed: 05/04/2024]
Abstract
Proper timing of vigilance states serves fundamental brain functions. Although disturbance of sleep onset rapid eye movement (SOREM) sleep is frequently reported after orexin deficiency, their causal relationship still remains elusive. Here, we further study a specific subgroup of orexin neurons with convergent projection to the REM sleep promoting sublaterodorsal tegmental nucleus (OXSLD neurons). Intriguingly, although OXSLD and other projection-labeled orexin neurons exhibit similar activity dynamics during REM sleep, only the activation level of OXSLD neurons exhibits a significant positive correlation with the post-inter-REM sleep interval duration, revealing an essential role for the orexin-sublaterodorsal tegmental nucleus (SLD) neural pathway in relieving REM sleep pressure. Monosynaptic tracing reveals that multiple inputs may help shape this REM sleep-related dynamics of OXSLD neurons. Genetic ablation further shows that the homeostatic architecture of sleep/wakefulness cycles, especially avoidance of SOREM sleep-like transition, is dependent on this activity. A positive correlation between the SOREM sleep occurrence probability and depression states of narcoleptic patients further demonstrates the possible significance of the orexin-SLD pathway on REM sleep homeostasis.
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Affiliation(s)
- Hui Feng
- Department of Neurobiology,
Army Medical University, 400038 Chongqing, P.R. China
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Qi-Cheng Qiao
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Qi-Fa Luo
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Jun-Ying Zhou
- Sleep Medicine Center, West China Hospital,
Sichuan University, 610000 Chengdu, Sichuan, P.R. China
| | - Fei Lei
- Sleep Medicine Center, West China Hospital,
Sichuan University, 610000 Chengdu, Sichuan, P.R. China
| | - Yao Chen
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Si-Yi Wen
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Wen-Hao Chen
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Yu-Jie Pang
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Zhi-An Hu
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Yi-Bin Jiang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Xu-Yang Zhang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Teng-Yuan Zhou
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Xin-Yan Zhang
- Sleep Medicine Center, West China Hospital,
Sichuan University, 610000 Chengdu, Sichuan, P.R. China
| | - Nian Yang
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Jun Zhang
- Department of Neurobiology,
Army Medical University, 400038 Chongqing, P.R. China
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Rong Hu
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
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Ren T, Feng H, Xu Y, Ling Y. Revealing the mechanism of Dahuang Huanglian Xiexin Decoction attenuates dysbiosis via IL-17 signaling pathway based on network pharmacology and experimental validation. J Ethnopharmacol 2024; 331:118267. [PMID: 38688354 DOI: 10.1016/j.jep.2024.118267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/13/2024] [Accepted: 04/25/2024] [Indexed: 05/02/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Dahuang Huanglian Xiexin Decoction (XXD), derived from Zhang Zhongjing's Treatise on Typhoid Fever, has a long history of medicinal use and is widely used for digestive system diseases. It is mainly composed of three natural medicines, including Dahuang (Rheum palmatum L.), Huanglian (Coptis chinensis Franch.), and Huangqin (Scutellaria baicalensis Georgi). Modern pharmacological research shows that the active ingredients of XXD can have a positive effect on intestinal flora regulatory effect, but its mechanism of action is unclear. AIMS OF THIS STUDY Clarify the effect of XXD on regulating dysbiosis, and elucidate the mechanism of XXD in alleviating dysbiosis based on network pharmacology, molecular docking and experimental verification. METHODS Histopathological observation and intestinal high-throughput sequencing were used to observe the effect. Preliminary prediction of the mechanism of action of XXD in treating dysbiosis through network pharmacology and molecular docking. Finally, the effect of XXD on the IL-17 signaling pathway was verified through in vivo experiments. RESULTS Histopathology and high-throughput sequencing of intestinal flora indicated that XXD has a good regulatory effect on bacterial dysbiosis. At the same time, network pharmacology identified a total of 40 active compounds, 14 of which may be key compounds for XXD to treat dysbiosis. In addition, the study also revealed 14 potential key targets as well as the top 5 therapeutic targets: IL-6, TNF-α, IL-1β, TP53 and PTGS2. GO and KEGG predicted the key pathway for IL-17 signaling pathway to play a role in XXD. In the verification of the prediction results, it was found that the above targets and the IL-17 target showed strong activity in molecular docking. Furthermore, it was found that XXD can reduce the levels of IL-17, IL-6, TNF-α, IL-1β, p53 and COX-2 in serum, while inhibiting the expression of IL-17, IL-17RA, Act-1 and NF-κB protein and the mRNA expression of IL-17, IL-17RA and Act-1 in colon tissue. CONCLUSIONS This study found that XXD has a good regulatory effect on dysbiosis and its induced symptoms. Network pharmacology was used to predict the key compounds and therapeutic targets of XXD, and preliminary experiments confirmed that XXD may regulate bacterial dysbiosis by inhibiting the IL-17 signaling pathway.
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Affiliation(s)
- Tianyi Ren
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China
| | - Hui Feng
- School of Chinese Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China
| | - Yong Xu
- School of Chinese Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China.
| | - Yun Ling
- School of Chinese Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China.
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Banerjee AK, Feng H, Bhowmick AR, Peng H, Liang X, Yin M, Duan F, Yan Y, Huang Y. Alien flora are accumulating steadily in China over the last 80 years. iScience 2024; 27:109552. [PMID: 38632991 PMCID: PMC11022055 DOI: 10.1016/j.isci.2024.109552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 11/09/2023] [Accepted: 03/21/2024] [Indexed: 04/19/2024] Open
Abstract
New alien species are increasingly introduced and established outside their native range. The knowledge of the spatiotemporal dynamics of their accumulation and the factors determining their residence time in the introduced range is critical for proactive management, especially in emerging economies. Based on a comprehensive time series dataset of 721 alien angiosperms in China, we show that new alien flora has been accumulating steadily in China, particularly in the coastal regions, for the last 80 years without saturation. The ability to occupy a large number of habitats facilitates the early introduction of alien flora, whereas a large naturalized range, greater number of uses, and multiple introduction pathways directly contribute to their naturalization and invasion. The temporal pattern is predicted to remain consistent in the foreseeable future. We propose upgrading the country's biosecurity infrastructure based on a standardized risk assessment framework to safeguard the country from ongoing and future invasions.
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Affiliation(s)
- Achyut Kumar Banerjee
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, Guangdong 510275, China
| | - Hui Feng
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, Guangdong 510275, China
| | - Amiya Ranjan Bhowmick
- Department of Mathematics, Institute of Chemical Technology, Mumbai, Maharashtra 400019, India
| | - Hao Peng
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, Guangdong 510275, China
| | - Xinru Liang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, Guangdong 510275, China
| | - Minghui Yin
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, Guangdong 510275, China
| | - Fuyuan Duan
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, Guangdong 510275, China
| | - Yubin Yan
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yelin Huang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, Guangdong 510275, China
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Zhou Q, Zhang Y, Yao W, Liang S, Feng H, Pan H. Effects of proprioceptive neuromuscular facilitation combined with threshold inspiratory muscle training on respiratory function in neurocritical patients with weaning failure: a randomized controlled trial. Int J Rehabil Res 2024:00004356-990000000-00092. [PMID: 38635479 DOI: 10.1097/mrr.0000000000000627] [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: 04/20/2024]
Abstract
The purpose of this study was to determine the effects of combining proprioceptive neuromuscular facilitation (PNF) with threshold inspiratory muscle training (TIMT), compared with TIMT alone, on respiratory function in neurocritical patients who experienced a weaning failure. Forty-seven participants (mostly after a stroke), were randomly divided into the experimental group (n = 24) and the control group (n = 23). The control group received usual care and TIMT, whereas the experimental group, in addition, underwent four 90-s periods of manual PNF. Both groups performed training in the ICU twice a day for 5 consecutive days. The main outcome measures included maximum inspiratory pressure, diaphragmatic excursions, diaphragm thickening fraction, oxygenation index, and forced expiratory volume in 1 s/forced vital capacity. The results showed a significant group-by-time interaction effect for maximum inspiratory pressure [F (1, 45) = 17.84, η2 = 0.328, P < 0.001] and oxygenation index [F [1, 45) = 5.58, η2 = 0.11, P = 0.023]. When compared with the control group, the experimental group showed overall significantly higher maximum inspiratory pressure [mean difference = 4.37 cm H2O, 95% confidence interval (CI) 0.25-8.50, P = 0.038]. No other significant group differences were found. Combining PNF with TIMT may improve respiratory function in neurocritical patients with weaning failure. This combination approach may increase the likelihood of survival of neurocritical patients in the ICU.
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Affiliation(s)
- Qian Zhou
- Department of Rehabilitation Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing
| | - Yuanyuan Zhang
- Department of Rehabilitation Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing
| | - Wei Yao
- Department of Rehabilitation Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing
| | - Sijie Liang
- Department of Rehabilitation Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Hui Feng
- Department of Rehabilitation Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing
| | - Huaping Pan
- Department of Rehabilitation Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing
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Xiang F, Zhang Y, Zhang Q, Pan X, Feng H, Zhang M, Li C, Ji Q, Li Z, Li S. Characteristics of beta parapapillary atrophy in primary angle-closure suspect. BMJ Open Ophthalmol 2024; 9:e001529. [PMID: 38626931 PMCID: PMC11029359 DOI: 10.1136/bmjophth-2023-001529] [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: 10/09/2023] [Accepted: 04/03/2024] [Indexed: 04/19/2024] Open
Abstract
OBJECTIVE To investigate the characteristics of beta parapapillary atrophy (β-PPA) in patients with primary angle-closure suspect (PACS). METHODS AND ANALYSIS In total, 215 and 259 eyes with PACS and non-PACS (NPACS), respectively, were enrolled in this observational, cross-sectional study. Stereoscopic fundus and optical coherence tomography images were used to characterise β-PPA; the former was also used to measure the major β-PPA parameters. Univariate and multiple logistic regression analyses were used to identify the factors correlated with the presence of β-PPA and with β-PPA parameters. RESULTS The β-PPA occurrence rates were 48.80% and 44.40% in the PACS and NPACS groups, respectively, with no significant difference between groups. Compared with that in the NPACS group, the β-PPA area was significantly larger (p=0.005) in the PACS group, but the angular extent and maximum radial length did not differ between groups (p=0.110 and 0.657, respectively) after adjusting for age and axial length. The presence of β-PPA was associated with older age (OR 1.057, 95% CI 1.028 to 1.088, p<0.001) and larger disc area (OR 1.716, 95% CI 1.170 to 2.517, p=0.006). A larger β-PPA area was associated with older age (p=0.014), greater vertical cup-to-disc ratio (p=0.028), larger disc area (p<0.001) and PACS diagnosis (p=0.035). CONCLUSION 48.80% of participants with PACS had β-PPA, which is slightly larger than NPACS. The area of β-PPA was larger in PACS, while the angular extent and maximum radial length did not differ between groups.
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Affiliation(s)
- Fei Xiang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ye Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Qing Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Ophthalmology, Beijing, China
| | - Xiaohua Pan
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China
| | - Hui Feng
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Meijuan Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Caixia Li
- School of Clinical Medicine, Dali University, Yunnan, China
| | - Qianqian Ji
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Zhi Li
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Shuning Li
- Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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11
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Yao C, Zuo J, Wu P, Liu J, Pan J, Zhu E, Feng H, Zhang K, Qian Z. Molecular engineering of fluorescent dyes for long-term specific visualization of the plasma membrane based on alkyl-chain-regulated cell permeability. Talanta 2024; 275:126105. [PMID: 38640520 DOI: 10.1016/j.talanta.2024.126105] [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: 02/02/2024] [Revised: 04/09/2024] [Accepted: 04/11/2024] [Indexed: 04/21/2024]
Abstract
Long-term visualization of changes in plasma membrane dynamics during important physiological processes can provide intuitive and reliable information in a 4D mode. However, molecular tools that can visualize plasma membranes over extended periods are lacking due to the absence of effective design rules that can specifically track plasma membrane fluorescent dye molecules over time. Using plant plasma membranes as a model, we systematically investigated the effects of different alkyl chain lengths of FMR dye molecules on their performance in imaging plasma membranes. Our findings indicate that alkyl chain length can effectively regulate the permeability of dye molecules across plasma membranes. The study confirms that introducing medium-length alkyl chains improves the ability of dye molecules to target and anchor to plasma membranes, allowing for long-term imaging of plasma membranes. This provides useful design rules for creating dye molecules that enable long-term visualization of plasma membranes. Using the amphiphilic amino-styryl-pyridine fluorescent skeleton, we discovered that the inclusion of short alkyl chains facilitated rapid crossing of the plasma membrane by the dye molecules, resulting in staining of the cell nucleus and indicating improved cell permeability. Conversely, the inclusion of long alkyl chains hindered the crossing of the cell wall by the dye molecules, preventing staining of the cell membrane and demonstrating membrane impermeability to plant cells. The FMR dyes with medium-length alkyl chains rapidly crossed the cell wall, uniformly stained the cell membrane, and anchored to it for a long period without being transmembrane. This allowed for visualization and tracking of the morphological dynamics of the cell plasma membrane during water loss in a 4D mode. This suggests that the introduction of medium-length alkyl chains into amphiphilic fluorescent dyes can transform them from membrane-permeable fluorescent dyes to membrane-staining fluorescent dyes suitable for long-term imaging of the plasma membrane. In addition, we have successfully converted a membrane-impermeable fluorescent dye molecule into a membrane-staining fluorescent dye by introducing medium-length alkyl chains into the molecule. This molecular engineering of dye molecules with alkyl chains to regulate cell permeability provides a simple and effective design rule for long-term visualization of the plasma membrane, and a convenient and feasible means of chemical modification for efficient transmembrane transport of small molecule drugs.
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Affiliation(s)
- Chuangye Yao
- Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua, 321004, People's Republic of China
| | - Jiaqi Zuo
- Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua, 321004, People's Republic of China
| | - Penglei Wu
- Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua, 321004, People's Republic of China
| | - Jie Liu
- College of Life Sciences, Zhejiang Normal University, Jinhua, 321004, People's Republic of China
| | - Junjun Pan
- Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua, 321004, People's Republic of China
| | - Engao Zhu
- College of Life Sciences, Zhejiang Normal University, Jinhua, 321004, People's Republic of China
| | - Hui Feng
- Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua, 321004, People's Republic of China
| | - Kewei Zhang
- College of Life Sciences, Zhejiang Normal University, Jinhua, 321004, People's Republic of China.
| | - Zhaosheng Qian
- Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua, 321004, People's Republic of China.
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12
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Liu Y, Feng H, Yu Z, Zhou C, Chen G, Wei Y. Acupuncture for reducing the south to reinforce the north on executive function and sleep structure in patients with chronic insomnia disorder of heart-kidney disharmony. Zhongguo Zhen Jiu 2024; 44:384-388. [PMID: 38621723 DOI: 10.13703/j.0255-2930.20230501-k0004] [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] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
OBJECTIVES To observe the efficacy of acupuncture for reducing the south to reinforce the north on executive function, sleep structure and sleep quality in patients with chronic insomnia disorder of heart-kidney disharmony. METHODS A total of 100 patients with chronic insomnia disorder of heart-kidney disharmony were randomized into an acupuncture group (50 cases, 1 case dropped out) and a western medication group (50 cases, 2 cases dropped out). Acupuncture for reducing the south to reinforce the north was applied at Baihui (GV 20) and bilateral Shenmen (HT 7), Sanyinjiao (SP 6), Shenmai (BL 62), Zhaohai (KI 6), Xinshu (BL 15), Shenshu (BL 23) in the acupuncture group, once a day, 5 days a week. Lorazepam tablet was given orally in the western medication group, 0.5-1 mg a time, once a day. Both groups were treated for 4 weeks. The Stroop color-word test (SCWT) indexes (the time consuming and the correct number of card A, B, C and the Stroop interference effect [SIE]), sleep structure indexes (total sleep time [TST], sleep latency [SL], wake after sleep onset [WASO], sleep efficiency [SE], non-rapid eye movement period 1 [N1], non-rapid eye movement period 2 [N2], non-rapid eye movement period 3 [N3], rapid eye movement period [REM]) and Pittsburgh sleep quality index (PSQI) score were observed before and after treatment in the two groups. RESULTS After treatment, the time consuming of card B and C, the time consuming and the correct number of SIE, SL, WASO, N1, N2, as well as the sub-item scores and total score of PSQI were decreased (P<0.05, P<0.01), the correct number of card A, B and C, TST, SE, N3 and REM were increased (P<0.01) compared with those before treatment in the acupuncture group; the time consuming of card C and SIE, the correct number of card A and SIE, TST, SE, REM were increased (P<0.05, P<0.01), SL, WASO, N1, as well as the sub-item scores of sleep quality, sleep latency, sleep duration, sleep efficiency, daytime function and total score of PSQI were decreased (P<0.01) compared with those before treatment in the western medication group. After treatment, in the acupuncture group, the time consuming of card C, the time consuming and the correct number of SIE, N1, N2, as well as the sub-item scores of sleep quality, sleep dysfunction, daytime function and total score of PSQI were lower than those in the western medication group (P<0.01), the correct number of card B and C, N3, REM were higher than those in the western medication group (P<0.01). CONCLUSIONS Acupuncture for reducing the south to reinforce the north can improve the executive function of patients with chronic insomnia disorder of heart-kidney disharmony, adjust the sleep structure, and improve the night sleep quality and daytime body function.
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Affiliation(s)
- Yi Liu
- Psychosomatic Department, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou Seventh People's Hospital, Hangzhou 310013, China.
| | - Hui Feng
- Digestive Department, Hangzhou Red Cross Hospital
| | - Zhenghe Yu
- Psychosomatic Department, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou Seventh People's Hospital, Hangzhou 310013, China
| | - Chuanlong Zhou
- Department of Acupuncture and Moxibustion, Third Affiliated Hospital of Zhejiang Chinese Medical University, Teaching and Research Department of Acupuncture and Moxibustion, Third Clinical Medical College of Zhejiang Chinese Medical University
| | - Guanglie Chen
- Psychosomatic Department, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou Seventh People's Hospital, Hangzhou 310013, China
| | - Youdan Wei
- Psychosomatic Department, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou Seventh People's Hospital, Hangzhou 310013, China
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13
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Wang S, Xiang Y, Feng H, Cui Y, Liu X, Chang X, Guo J, Tu P. Optimization of 3D Printing Parameters for Alumina Ceramic Based on the Orthogonal Test. ACS Omega 2024; 9:16734-16742. [PMID: 38617691 PMCID: PMC11007847 DOI: 10.1021/acsomega.4c00819] [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: 01/24/2024] [Revised: 02/27/2024] [Accepted: 03/12/2024] [Indexed: 04/16/2024]
Abstract
In this paper, an alumina ink with good rheological properties was successfully prepared using pseudoboehmite as the main component, nitric acid as the colloidal solvent, and sesbania powder as the lubricant. The impact of nine different ink formulations, namely, Ink1 to Ink9, on the printability and rheological features of the ink was investigated. Consequently, it was found that Ink3 with 5 wt % nitric acid and 5 wt % sesbania powder exhibited the most favorable formability. This ink was utilized to fabricate alumina samples with direct ink writing (DIW) three-dimensional (3D) printing technology. The printed alumina samples were characterized using an automatic Brunauer-Emmett-Teller, X-ray diffractometer, Fourier transform infrared spectroscopy, and scanning electron microscope. To obtain the optimal printing parameters, a three-factor and three-level orthogonal test was designed to research the influences of different 3D printing parameters (filling ratio, nozzle diameter, and layer thickness) on the specific surface area, pore characteristics (size and volume), and radial crushing strength of the alumina specimens. The primary and secondary orders of the effects on the radial crushing strength and pore structure were determined through analysis of the experimental data. The experimental results showed that the alumina sample with a filling ratio of 80%, nozzle diameter of 0.6 mm, and layer thickness of 0.3 mm was found to have better strength of 48.07 ± 9.53 N/mm and specific surface area of 185.7315 m2/g. This study provides a theoretical base for the preparation of alumina carriers by DIW 3D printing.
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Affiliation(s)
- Shuo Wang
- College
of Science, Institute of Agricultural Resources Chemistry and Application, Gansu Agricultural University, Lanzhou 730070, China
| | - Yongsheng Xiang
- Lanzhou
Petrochemical Research Center, Petrochemical
Research Institute, Petrochina, Lanzhou 730060, China
| | - Hui Feng
- College
of Science, Institute of Agricultural Resources Chemistry and Application, Gansu Agricultural University, Lanzhou 730070, China
| | - Yanjun Cui
- College
of Science, Institute of Agricultural Resources Chemistry and Application, Gansu Agricultural University, Lanzhou 730070, China
| | - Xiaofei Liu
- Lanzhou
Petrochemical Research Center, Petrochemical
Research Institute, Petrochina, Lanzhou 730060, China
| | - Xiaoxin Chang
- Lanzhou
Petrochemical Research Center, Petrochemical
Research Institute, Petrochina, Lanzhou 730060, China
| | - Jinxiu Guo
- College
of Science, Institute of Agricultural Resources Chemistry and Application, Gansu Agricultural University, Lanzhou 730070, China
| | - Peng Tu
- College
of Science, Institute of Agricultural Resources Chemistry and Application, Gansu Agricultural University, Lanzhou 730070, China
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Zhao Y, Liu Q, Chen Y, Kwok TCY, Leung JCS, Feng H, Wong SYS. Trajectories of depressive symptom and its association with air pollution: evidence from the Mr. OS and Ms. OS Hong Kong cohort study. BMC Geriatr 2024; 24:318. [PMID: 38580934 PMCID: PMC10996234 DOI: 10.1186/s12877-024-04731-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 01/19/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Depression is a global health priority. Maintaining and delaying depressive symptoms in older adults is a key to healthy aging. This study aimed to identify depressive symptom trajectories, predictors and mortality, while also exploring the relationship between air quality and depressive symptoms in older adults in the Hong Kong community over 14 years. METHODS This study is a longitudinal study in Hong Kong. The target population was community-dwelling older adults over age 65. Depressive symptoms were measured by the Geriatric Depression Scale (GDS-15). Group-based trajectory model was used to identify heterogeneity in longitudinal changes over 14 years and examine the associations between baseline variables and trajectories for different cohort members using multinomial logistic regression. The Kaplan-Meier method was employed to conduct survival analysis and explore the variations in survival probabilities over time among different trajectory group. Linear mixed model was used to explore the relationship between air quality and depressive symptoms. RESULTS A total of 2828 older adults were included. Three different trajectories of depressive symptoms in older people were identified: relatively stable (15.4%), late increase (67.1%) and increase (17.5%). Female, more number of chronic diseases, poor cognitive function, and poor health-related quality of life (HRQOL) were significantly associated with other less favorable trajectories compared with participants with stable levels of depressive symptoms. The late increase group had a lower mortality rate than the relatively stable and increased groups. Lower baseline ambient air pollutant exposure to NO2 over 14 years was significantly associated with fewer depressive symptoms. CONCLUSIONS In this study, we found that a late increase in depressive symptoms was the predominant trend in older Chinese people in Hong Kong. Poorer HRQOL was predictive of less favorable trajectories of depressive symptoms. Ambient air pollution was associated with depressive symptoms. This novel observation strengthens the epidemiological evidence of longitudinal changes in depressive symptoms and associations with late-life exposure to air pollution.
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Affiliation(s)
- Yinan Zhao
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China
| | - Qingcai Liu
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China
| | - Yifei Chen
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China
| | - Timothy C Y Kwok
- Department of Medicine & Therapeutics, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, SAR, China.
| | - Jason C S Leung
- Department of Medicine & Therapeutics, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China.
- Xiangya-Oceanwide Health Management Research Institute, Central South University, Changsha, Hunan Province, China.
| | - Samuel Yeung Shan Wong
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, SAR, China
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China
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15
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Xue Y, Li W, Li M, Ru N, Chen S, Jiu M, Feng H, Wei L, Daly P, Zhou D. Biological Control of a Root-Knot Nematode Meloidogyne incognita Infection of Tomato ( Solanum lycopersicum L.) by the Oomycete Biocontrol Agent Pythium oligandrum. J Fungi (Basel) 2024; 10:265. [PMID: 38667936 PMCID: PMC11051105 DOI: 10.3390/jof10040265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/13/2024] [Accepted: 03/15/2024] [Indexed: 04/28/2024] Open
Abstract
The biocontrol agent Pythium oligandrum, which is a member of the phylum Oomycota, can control diseases caused by a taxonomically wide range of plant pathogens, including fungi, bacteria, and oomycetes. However, whether P. oligandrum could control diseases caused by plant root-knot nematodes (RKNs) was unknown. We investigated a recently isolated P. oligandrum strain GAQ1, and the P. oligandrum strain CBS530.74, for the control of an RKN Meloidogyne incognita infection of tomato (Solanum lycopersicum L.). Initially, P. oligandrum culture filtrates were found to be lethal to M. incognita second-stage juveniles (J2s) with up to 84% mortality 24 h after treatment compared to 14% in the control group. Consistent with the lethality to M. incognita J2s, tomato roots treated with P. oligandrum culture filtrates reduced their attraction of nematodes, and the number of nematodes penetrating the roots was reduced by up to 78%. In a greenhouse pot trial, the P. oligandrum GAQ1 inoculation of tomato plants significantly reduced the gall number by 58% in plants infected with M. incognita. Notably, the P. oligandrum GAQ1 mycelial treatment significantly increased tomato plant height (by 36%), weight (by 27%), and root weight (by 48%). A transcriptome analysis of tomato seedling roots inoculated with the P. oligandrum GAQ1 strain identified ~2500 differentially expressed genes. The enriched GO terms and annotations in the up-regulated genes suggested a modulation of the plant hormone-signaling and defense-related pathways in response to P. oligandrum. In conclusion, our results support that P. oligandrum GAQ1 can serve as a potential biocontrol agent for M. incognita control in tomato. Multiple mechanisms appear to contribute to the biocontrol effect, including the direct inhibition of M. incognita, the potential priming of tomato plant defenses, and plant growth promotion.
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Affiliation(s)
- Yuwei Xue
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.X.); (W.L.)
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
| | - Weishan Li
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.X.); (W.L.)
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Mengnan Li
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
- College of Landscape and Ecological Engineering, Hebei University of Engineering, Handan 471023, China
| | - Ningchen Ru
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
- School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Siqiao Chen
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
- Fungal Genomics Laboratory (FungiG), Nanjing Agricultural University, Nanjing 210095, China
| | - Min Jiu
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.X.); (W.L.)
| | - Hui Feng
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
| | - Lihui Wei
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
- School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Paul Daly
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
| | - Dongmei Zhou
- Key Lab of Food Quality and Safety of Jiangsu Province—State Key Laboratory Breeding Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (M.L.); (N.R.); (S.C.); (H.F.); (L.W.)
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Wallach I, Bernard D, Nguyen K, Ho G, Morrison A, Stecula A, Rosnik A, O’Sullivan AM, Davtyan A, Samudio B, Thomas B, Worley B, Butler B, Laggner C, Thayer D, Moharreri E, Friedland G, Truong H, van den Bedem H, Ng HL, Stafford K, Sarangapani K, Giesler K, Ngo L, Mysinger M, Ahmed M, Anthis NJ, Henriksen N, Gniewek P, Eckert S, de Oliveira S, Suterwala S, PrasadPrasad SVK, Shek S, Contreras S, Hare S, Palazzo T, O’Brien TE, Van Grack T, Williams T, Chern TR, Kenyon V, Lee AH, Cann AB, Bergman B, Anderson BM, Cox BD, Warrington JM, Sorenson JM, Goldenberg JM, Young MA, DeHaan N, Pemberton RP, Schroedl S, Abramyan TM, Gupta T, Mysore V, Presser AG, Ferrando AA, Andricopulo AD, Ghosh A, Ayachi AG, Mushtaq A, Shaqra AM, Toh AKL, Smrcka AV, Ciccia A, de Oliveira AS, Sverzhinsky A, de Sousa AM, Agoulnik AI, Kushnir A, Freiberg AN, Statsyuk AV, Gingras AR, Degterev A, Tomilov A, Vrielink A, Garaeva AA, Bryant-Friedrich A, Caflisch A, Patel AK, Rangarajan AV, Matheeussen A, Battistoni A, Caporali A, Chini A, Ilari A, Mattevi A, Foote AT, Trabocchi A, Stahl A, Herr AB, Berti A, Freywald A, Reidenbach AG, Lam A, Cuddihy AR, White A, Taglialatela A, Ojha AK, Cathcart AM, Motyl AAL, Borowska A, D’Antuono A, Hirsch AKH, Porcelli AM, Minakova A, Montanaro A, Müller A, Fiorillo A, Virtanen A, O’Donoghue AJ, Del Rio Flores A, Garmendia AE, Pineda-Lucena A, Panganiban AT, Samantha A, Chatterjee AK, Haas AL, Paparella AS, John ALS, Prince A, ElSheikh A, Apfel AM, Colomba A, O’Dea A, Diallo BN, Ribeiro BMRM, Bailey-Elkin BA, Edelman BL, Liou B, Perry B, Chua BSK, Kováts B, Englinger B, Balakrishnan B, Gong B, Agianian B, Pressly B, Salas BPM, Duggan BM, Geisbrecht BV, Dymock BW, Morten BC, Hammock BD, Mota BEF, Dickinson BC, Fraser C, Lempicki C, Novina CD, Torner C, Ballatore C, Bon C, Chapman CJ, Partch CL, Chaton CT, Huang C, Yang CY, Kahler CM, Karan C, Keller C, Dieck CL, Huimei C, Liu C, Peltier C, Mantri CK, Kemet CM, Müller CE, Weber C, Zeina CM, Muli CS, Morisseau C, Alkan C, Reglero C, Loy CA, Wilson CM, Myhr C, Arrigoni C, Paulino C, Santiago C, Luo D, Tumes DJ, Keedy DA, Lawrence DA, Chen D, Manor D, Trader DJ, Hildeman DA, Drewry DH, Dowling DJ, Hosfield DJ, Smith DM, Moreira D, Siderovski DP, Shum D, Krist DT, Riches DWH, Ferraris DM, Anderson DH, Coombe DR, Welsbie DS, Hu D, Ortiz D, Alramadhani D, Zhang D, Chaudhuri D, Slotboom DJ, Ronning DR, Lee D, Dirksen D, Shoue DA, Zochodne DW, Krishnamurthy D, Duncan D, Glubb DM, Gelardi ELM, Hsiao EC, Lynn EG, Silva EB, Aguilera E, Lenci E, Abraham ET, Lama E, Mameli E, Leung E, Christensen EM, Mason ER, Petretto E, Trakhtenberg EF, Rubin EJ, Strauss E, Thompson EW, Cione E, Lisabeth EM, Fan E, Kroon EG, Jo E, García-Cuesta EM, Glukhov E, Gavathiotis E, Yu F, Xiang F, Leng F, Wang F, Ingoglia F, van den Akker F, Borriello F, Vizeacoumar FJ, Luh F, Buckner FS, Vizeacoumar FS, Bdira FB, Svensson F, Rodriguez GM, Bognár G, Lembo G, Zhang G, Dempsey G, Eitzen G, Mayer G, Greene GL, Garcia GA, Lukacs GL, Prikler G, Parico GCG, Colotti G, De Keulenaer G, Cortopassi G, Roti G, Girolimetti G, Fiermonte G, Gasparre G, Leuzzi G, Dahal G, Michlewski G, Conn GL, Stuchbury GD, Bowman GR, Popowicz GM, Veit G, de Souza GE, Akk G, Caljon G, Alvarez G, Rucinski G, Lee G, Cildir G, Li H, Breton HE, Jafar-Nejad H, Zhou H, Moore HP, Tilford H, Yuan H, Shim H, Wulff H, Hoppe H, Chaytow H, Tam HK, Van Remmen H, Xu H, Debonsi HM, Lieberman HB, Jung H, Fan HY, Feng H, Zhou H, Kim HJ, Greig IR, Caliandro I, Corvo I, Arozarena I, Mungrue IN, Verhamme IM, Qureshi IA, Lotsaris I, Cakir I, Perry JJP, Kwiatkowski J, Boorman J, Ferreira J, Fries J, Kratz JM, Miner J, Siqueira-Neto JL, Granneman JG, Ng J, Shorter J, Voss JH, Gebauer JM, Chuah J, Mousa JJ, Maynes JT, Evans JD, Dickhout J, MacKeigan JP, Jossart JN, Zhou J, Lin J, Xu J, Wang J, Zhu J, Liao J, Xu J, Zhao J, Lin J, Lee J, Reis J, Stetefeld J, Bruning JB, Bruning JB, Coles JG, Tanner JJ, Pascal JM, So J, Pederick JL, Costoya JA, Rayman JB, Maciag JJ, Nasburg JA, Gruber JJ, Finkelstein JM, Watkins J, Rodríguez-Frade JM, Arias JAS, Lasarte JJ, Oyarzabal J, Milosavljevic J, Cools J, Lescar J, Bogomolovas J, Wang J, Kee JM, Kee JM, Liao J, Sistla JC, Abrahão JS, Sishtla K, Francisco KR, Hansen KB, Molyneaux KA, Cunningham KA, Martin KR, Gadar K, Ojo KK, Wong KS, Wentworth KL, Lai K, Lobb KA, Hopkins KM, Parang K, Machaca K, Pham K, Ghilarducci K, Sugamori KS, McManus KJ, Musta K, Faller KME, Nagamori K, Mostert KJ, Korotkov KV, Liu K, Smith KS, Sarosiek K, Rohde KH, Kim KK, Lee KH, Pusztai L, Lehtiö L, Haupt LM, Cowen LE, Byrne LJ, Su L, Wert-Lamas L, Puchades-Carrasco L, Chen L, Malkas LH, Zhuo L, Hedstrom L, Hedstrom L, Walensky LD, Antonelli L, Iommarini L, Whitesell L, Randall LM, Fathallah MD, Nagai MH, Kilkenny ML, Ben-Johny M, Lussier MP, Windisch MP, Lolicato M, Lolli ML, Vleminckx M, Caroleo MC, Macias MJ, Valli M, Barghash MM, Mellado M, Tye MA, Wilson MA, Hannink M, Ashton MR, Cerna MVC, Giorgis M, Safo MK, Maurice MS, McDowell MA, Pasquali M, Mehedi M, Serafim MSM, Soellner MB, Alteen MG, Champion MM, Skorodinsky M, O’Mara ML, Bedi M, Rizzi M, Levin M, Mowat M, Jackson MR, Paige M, Al-Yozbaki M, Giardini MA, Maksimainen MM, De Luise M, Hussain MS, Christodoulides M, Stec N, Zelinskaya N, Van Pelt N, Merrill NM, Singh N, Kootstra NA, Singh N, Gandhi NS, Chan NL, Trinh NM, Schneider NO, Matovic N, Horstmann N, Longo N, Bharambe N, Rouzbeh N, Mahmoodi N, Gumede NJ, Anastasio NC, Khalaf NB, Rabal O, Kandror O, Escaffre O, Silvennoinen O, Bishop OT, Iglesias P, Sobrado P, Chuong P, O’Connell P, Martin-Malpartida P, Mellor P, Fish PV, Moreira POL, Zhou P, Liu P, Liu P, Wu P, Agogo-Mawuli P, Jones PL, Ngoi P, Toogood P, Ip P, von Hundelshausen P, Lee PH, Rowswell-Turner RB, Balaña-Fouce R, Rocha REO, Guido RVC, Ferreira RS, Agrawal RK, Harijan RK, Ramachandran R, Verma R, Singh RK, Tiwari RK, Mazitschek R, Koppisetti RK, Dame RT, Douville RN, Austin RC, Taylor RE, Moore RG, Ebright RH, Angell RM, Yan R, Kejriwal R, Batey RA, Blelloch R, Vandenberg RJ, Hickey RJ, Kelm RJ, Lake RJ, Bradley RK, Blumenthal RM, Solano R, Gierse RM, Viola RE, McCarthy RR, Reguera RM, Uribe RV, do Monte-Neto RL, Gorgoglione R, Cullinane RT, Katyal S, Hossain S, Phadke S, Shelburne SA, Geden SE, Johannsen S, Wazir S, Legare S, Landfear SM, Radhakrishnan SK, Ammendola S, Dzhumaev S, Seo SY, Li S, Zhou S, Chu S, Chauhan S, Maruta S, Ashkar SR, Shyng SL, Conticello SG, Buroni S, Garavaglia S, White SJ, Zhu S, Tsimbalyuk S, Chadni SH, Byun SY, Park S, Xu SQ, Banerjee S, Zahler S, Espinoza S, Gustincich S, Sainas S, Celano SL, Capuzzi SJ, Waggoner SN, Poirier S, Olson SH, Marx SO, Van Doren SR, Sarilla S, Brady-Kalnay SM, Dallman S, Azeem SM, Teramoto T, Mehlman T, Swart T, Abaffy T, Akopian T, Haikarainen T, Moreda TL, Ikegami T, Teixeira TR, Jayasinghe TD, Gillingwater TH, Kampourakis T, Richardson TI, Herdendorf TJ, Kotzé TJ, O’Meara TR, Corson TW, Hermle T, Ogunwa TH, Lan T, Su T, Banjo T, O’Mara TA, Chou T, Chou TF, Baumann U, Desai UR, Pai VP, Thai VC, Tandon V, Banerji V, Robinson VL, Gunasekharan V, Namasivayam V, Segers VFM, Maranda V, Dolce V, Maltarollo VG, Scoffone VC, Woods VA, Ronchi VP, Van Hung Le V, Clayton WB, Lowther WT, Houry WA, Li W, Tang W, Zhang W, Van Voorhis WC, Donaldson WA, Hahn WC, Kerr WG, Gerwick WH, Bradshaw WJ, Foong WE, Blanchet X, Wu X, Lu X, Qi X, Xu X, Yu X, Qin X, Wang X, Yuan X, Zhang X, Zhang YJ, Hu Y, Aldhamen YA, Chen Y, Li Y, Sun Y, Zhu Y, Gupta YK, Pérez-Pertejo Y, Li Y, Tang Y, He Y, Tse-Dinh YC, Sidorova YA, Yen Y, Li Y, Frangos ZJ, Chung Z, Su Z, Wang Z, Zhang Z, Liu Z, Inde Z, Artía Z, Heifets A. AI is a viable alternative to high throughput screening: a 318-target study. Sci Rep 2024; 14:7526. [PMID: 38565852 PMCID: PMC10987645 DOI: 10.1038/s41598-024-54655-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 02/15/2024] [Indexed: 04/04/2024] Open
Abstract
High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery.
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Jian H, Feng H, Zhu L, Li X, Ma Z. MicroRNA-150-5P regulates Th1/Th2 cytokines expression levels by targeting EGR2 in allergic rhinitis. Rhinology 2024; 62:250-256. [PMID: 38165680 DOI: 10.4193/rhin23.223] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
BACKGROUND MiR-150-5p is one of the miRNAs in the expression profile of miRNAs, and in many previous studies, it has been shown that miR-150-5p may play an important role in peripheral blood dendritic cells (DCs) of allergic rhinitis (AR) patients. We sought to investigate the role and mechanism of miR-150-5p in regulating DC function by modulating EGR2 and influencing T cell derivation to promote AR development. METHODS The expression of miR-150-5p and EGR2 in AR patients was examined by real-time quantitative polymerase chain reaction (qRT-PCR), the expression of IL-4 cytokines in the supernatant of AR patients was tested by enzyme-linked immunosorbent assay (ELISA), and the expression of eosinophils in the supernatant of AR patients was measured by HE staining. The expression of EGR2 was detected by immunohistochemistry and fluorescent m-immunohistochemistry. RESULTS MiR-150-5p expression was up-regulated and EGR2 expression was down-regulated in peripheral blood DCs from AR patients. miR-150-5p upregulated DCs, which promoted T-cell differentiation. miR-150-5p further regulated EGR2, which suppressed DCs and caused alteration of T-cell differentiation, in turn triggering the occurrence of AR. CONCLUSION MiR-150-5p and its target gene EGR2 are involved in the development of AR, and DCs foster T-cell differentiation in peripheral blood of AR patients.
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Affiliation(s)
- H Jian
- Department of Otorhinolaryngology, the Third Affiliated Hospital of ZunYi Medical University/First People’s Hospital of Zunyi 563002, China
| | - H Feng
- Department of Otorhinolaryngology, the Third Affiliated Hospital of ZunYi Medical University/First People’s Hospital of Zunyi 563002, China
| | - L Zhu
- Department of Otorhinolaryngology, the Third Affiliated Hospital of ZunYi Medical University/First People’s Hospital of Zunyi 563002, China
| | - X Li
- Department of Otorhinolaryngology, the Third Affiliated Hospital of ZunYi Medical University/First People’s Hospital of Zunyi 563002, China
| | - Z Ma
- Department of Otorhinolaryngology, the Third Affiliated Hospital of ZunYi Medical University/First People’s Hospital of Zunyi 563002, China
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Yang J, Lv M, Han L, Li Y, Liu Y, Guo H, Feng H, Wu Y, Zhong J. Evaluation of brain iron deposition in different cerebral arteries of acute ischaemic stroke patients using quantitative susceptibility mapping. Clin Radiol 2024; 79:e592-e598. [PMID: 38320942 DOI: 10.1016/j.crad.2024.01.007] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 12/05/2023] [Accepted: 01/03/2024] [Indexed: 02/08/2024]
Abstract
AIM To investigate differences in iron deposition between infarct and normal cerebral arterial regions in acute ischaemic stroke (AIS) patients using quantitative susceptibility mapping (QSM). MATERIALS AND METHODS Forty healthy controls and 40 AIS patients were recruited, and their QSM images were obtained. There were seven regions of interest (ROIs) in AIS patients, including the infarct regions of responsible arteries (R1), the non-infarct regions of responsible arteries (R2), the contralateral symmetrical sites of lesions (R3), and the non-responsible cerebral arterial regions (R4, R5, R6, R7). For the healthy controls, the cerebral arterial regions corresponding to the AIS patient group were selected as ROIs. The differences in corresponding ROI susceptibilities between AIS patients and healthy controls and the differences in susceptibilities between infarcted and non-infarct regions in AIS patients were compared. RESULTS The susceptibilities of infarct regions in AIS patients were significantly higher than those in healthy controls (p<0.0001). There was no significant difference in non-infarct regions between the two groups (p>0.05). The susceptibility of the infarct regions in AIS patients was significantly higher than those of the non-infarct region of responsible artery and non-responsible cerebral arterial regions (p<0.01). CONCLUSIONS Abnormal iron deposition detected by QSM in the infarct regions of AIS patients may not affect iron levels in the non-infarct regions of responsible arteries and normal cerebral arteries, which may open the door for potential new diagnostic and treatment strategies.
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Affiliation(s)
- J Yang
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - M Lv
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - L Han
- North Sichuan Medical College, Nanchong, China
| | - Y Li
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - Y Liu
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - H Guo
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - H Feng
- Department of Radiology, Zigong First People's Hospital, Zigong, China
| | - Y Wu
- MR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, China
| | - J Zhong
- Department of Radiology, Zigong First People's Hospital, Zigong, China.
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Xiao B, Landesman-Bollag E, Feng H. What value do zebrafish have to anticancer drug discovery? Expert Opin Drug Discov 2024; 19:369-375. [PMID: 38327017 PMCID: PMC10950524 DOI: 10.1080/17460441.2024.2313454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 01/30/2024] [Indexed: 02/09/2024]
Affiliation(s)
- Boyuan Xiao
- Department of Pharmacology, Physiology & Biophysics, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
| | - Esther Landesman-Bollag
- Department of Medicine, Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
| | - Hui Feng
- Department of Pharmacology, Physiology & Biophysics, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Medicine, Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
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Xu Y, Zhu XY, Feng H, Yu XP, Wang Y, Rong X, Qi TY. The value of quantitative contrast-enhanced ultrasonography analysis in evaluating central retinal artery microcirculation in patients with diabetes mellitus: comparison with colour Doppler imaging. Clin Radiol 2024; 79:e560-e566. [PMID: 38336532 DOI: 10.1016/j.crad.2024.01.011] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/12/2023] [Accepted: 01/12/2024] [Indexed: 02/12/2024]
Abstract
AIM To compare the efficacy of quantitative contrast-enhanced ultrasonography (CEUS) analysis and colour Doppler ultrasound (CDU) in evaluating central retinal artery (CRA) microcirculation in patients with diabetes mellitus (DM). MATERIALS AND METHODS In this prospective study, a total of 55 patients (98 eyes) with DM were enrolled as the study group. They were compared to 46 age-matched healthy volunteers (92 eyes) who were selected as the control group. Each patient underwent CDU and subsequent CEUS examination. CDU and quantitative CEUS parameters were evaluated. The diagnostic efficiency of the diagnostic performance of CEUS and CDU was evaluated and compared, and the scale thresholds of predictive indicators for the diagnosis of proliferative diabetic retinopathy (PDR) were evaluated using receiver operating characteristics (ROC) curve analyses. RESULTS Group pairwise comparisons showed that the end diastolic velocity (EDV) and arrival time (AT) of CRA were significant predictors for PDR by CDU and by quantitative CEUS analysis, respectively (all p<0.05). The ROC curve analysis showed that the area under the curve value of AT was significantly higher than that of EDV (0.875 versus 0.634, p=0.0002). Accordingly, an AT cut-off value of 1.07 seconds resulted a sensitivity of 90.62 % and a specificity of 79.31 %. CONCLUSION Quantitative CEUS analysis can improve the accuracy of clinical staging of diabetic retinopathy for the patients with DM, and the AT showed the best diagnostic efficiency.
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Affiliation(s)
- Y Xu
- Department of Ultrasound, Medical Imaging Center, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225012, China
| | - X Y Zhu
- Department of Ophthalmology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225012, China
| | - H Feng
- Department of Ultrasound, Medical Imaging Center, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225012, China
| | - X P Yu
- Department of Ultrasound, Medical Imaging Center, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225012, China
| | - Y Wang
- Department of Ophthalmology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225012, China
| | - X Rong
- Department of Ultrasound, Medical Imaging Center, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225012, China
| | - T Y Qi
- Department of Ultrasound, Medical Imaging Center, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225012, China.
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Lin M, Xu X, Zhou X, Feng H, Wang R, Yang Y, Li J, Fan N, Jiang Y, Li X, Guan F, Tan Z. Sialylation on vesicular integrin β1 determined endocytic entry of small extracellular vesicles into recipient cells. Cell Mol Biol Lett 2024; 29:46. [PMID: 38561669 PMCID: PMC10983696 DOI: 10.1186/s11658-024-00562-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 03/20/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Small extracellular vesicles (sEV) are closely associated with the development and metastasis of many types of mammalian cancer. Glycoconjugates are highly expressed on sEV and play important roles in sEV biogenesis and their interaction with other cells. However, the study on vesicular glycoconjugates are far behind proteins and nucleic acids. Especially, the functions of sialic acids which are the terminal components of glycoconjugates, are poorly understood in sEV. METHODS Sialic acid levels on sEV from plasma and bladder cancer cells were determined by ELISA and lectin blotting. Effects of sialylation on sEV uptake were determined by flow cytometry. Vesicular glycoproteins bearing sialic acids responsible for sEV uptake was identified by proteomics and density gradient centrifugation, and their site-specific sialylation functions were assayed by N-glycosylation site mutation. Effects of integrin β1 bearing sialic acids on the pro-metastatic function of sEV in vivo were explored using Balb/c nu/nu mice. RESULTS (1) Increased sialic acid levels were observed in sEV from malignant bladder cancer cells. (2) Elimination of sialic acids on sEV impaired sEV uptake by recipient cells. (3) Vesicular integrin β1 bearing sialic acids was identified to play a key role in sEV uptake. (4) Desialylation of the hybrid domain of vesicular integrin β1 inhibited its binding to matrix fibronectin, and reduced sEV entry into recipient cells. (5) Sialylation on integrin β1 affected pro-metastatic function of sEV in Balb/c nu/nu mice. CONCLUSIONS Taken together, our findings indicate important functional roles of sialic acids in sEV uptake and reprogramming plasticity of surrounding normal epithelial cells.
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Affiliation(s)
- Meixuan Lin
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Xiaoqiang Xu
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Xiaoman Zhou
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Hui Feng
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Ruili Wang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Yunyun Yang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Jing Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Ning Fan
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China
| | - Yazhuo Jiang
- Department of Urology, Provincial People's Hospital, Xi'an, China
| | - Xiang Li
- Institute of Hematology, School of Medicine, Northwest University, Xi'an, China
| | - Feng Guan
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an, China.
| | - Zengqi Tan
- Institute of Hematology, School of Medicine, Northwest University, Xi'an, China.
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Xiao K, Xv Z, Liu L, Yang B, Cao H, Wang J, Xv Y, Li Q, Hou Y, Feng F, Wang J, Feng H. Relationship between homocysteine and chronic total coronary occlusion: a cross-sectional study from southwest China. Cardiol Young 2024; 34:740-747. [PMID: 37811581 DOI: 10.1017/s1047951123003414] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
BACKGROUND Chronic total coronary occlusion is among the most complex coronary artery diseases. Elevated homocysteine is a risk factor for coronary artery diseases. However, few studies have assessed the relationship between homocysteine and chronic total coronary occlusion. METHODS 1295 individuals from Southwest China were enrolled in the study. Chronic total coronary occlusion was defined as complete occlusion of coronary artery for more than three months. Homocysteine was divided into quartiles according to its level. Univariate and multivariate logistic regression models, receiver operating characteristic curves, and subgroup analysis were applied to assess the relationship between homocysteine and chronic total coronary occlusion. RESULTS Subjects in the higher homocysteine quartile had a higher rate of chronic total coronary occlusion (P < 0.001). After adjustment, the odds ratio for chronic total coronary occlusion in the highest quartile of homocysteine compared with the lowest was 1.918 (95% confidence interval 1.237-2.972). Homocysteine ≥ 15.2 μmol/L was considered an independent indicator of chronic total coronary occlusion (odds ratio 1.53, 95% confidence interval 1.05-2.23; P = 0.0265). The area under the receiver operating characteristic curve was 0.659 (95% confidence interval, 0.618-0.701; P < 0.001). Stronger associations were observed in elderly and in those with hypertension and diabetes. CONCLUSIONS Elevated homocysteine is significantly associated with chronic total coronary occlusion, particularly in elderly and those with hypertension and diabetes.
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Affiliation(s)
- Kaiyong Xiao
- Department of Cardiology, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Zhe Xv
- Department of Pediatric Medicine, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Liang Liu
- Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, SX, China
| | - Bin Yang
- Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, SX, China
| | - Huili Cao
- Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, SX, China
| | - Jianping Wang
- Department of Cardiology, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Yuling Xv
- Sterilization Supply Center, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Qingrui Li
- Department of Cardiology, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Yulin Hou
- Department of Cardiology, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Feifei Feng
- Department of Cardiology, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Jie Wang
- Department of Cardiology, Guangyuan Central Hospital, Guangyuan, SC, China
| | - Hui Feng
- Medical Laboratory Center, Guangyuan Central Hospital, Guangyuan, SC, China
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Cai L, Huang X, Feng H, Fan G, Sun X. Antimicrobial mechanisms of g-C 3 N 4 @ZnO against oomycetes Phytophthora capsici: from its metabolism, membrane structures and growth. Pest Manag Sci 2024; 80:2096-2108. [PMID: 38135506 DOI: 10.1002/ps.7946] [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] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/25/2023] [Accepted: 12/23/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Phytophthora capsici, a refractory and model oomycete plant pathogen, especially threatens multiple vegetable crops. A limited number of chemical pesticides play a vital role in controlling oomycete plant diseases. However, this approach often leads to excessive use of chemical agent, exacerbates environmental issues and more and more drug-resistant strains of oomycete. Therefore, it is imperative to devise innovative solutions that can effectively address the infection of oomycete while maintaining high levels of environmental sustainability and low toxicity. RESULTS In this study, g-C3 N4 @ZnO heterostructure was synthesized and characterized. The g-C3 N4 @ZnO showed higher toxicity on Phytophthora capsici than graphitic carbon nitride (g-C3 N4 ) nanosheets and zinc oxide (ZnO) nanoparticles in vitro and in vivo. Except the hyphal growth of Phytophthora capsici, their germination rate of spores, sporangium formation and number of spores were all suppressed by g-C3 N4 @ZnO heterostructure. Furthermore, we found that this g-C3 N4 @ZnO heterostructure has higher photocatalytic activity under visible light, which potentially enhanced the reactive oxygen species (ROS) mediated stress on Phytophthora capsici. Ultrastructural morphology, global changes of gene expression and weighted gene co-expression network analysis all supported that the anti-oomycete activity of g-C3 N4 @ZnO was manifested in the destruction of membrane system and inhibition of multiple metabolisms of Phytophthora capsici under visible irradiation, which also could be attributed to the ROS and zinc ion (Zn2+ ) mediated stress. CONCLUSION This works offers a novel oomycete disease management strategy by using g-C3 N4 @ZnO, which were attributed to the ROS stress, destruction of membrane system and inhibition of multiple metabolisms. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Lin Cai
- Guizhou Key Laboratory for Tobacco Quality, College of Tobacco Science of Guizhou University, Guiyang, China
- National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, China
| | - Xunliang Huang
- National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, China
| | - Hui Feng
- Guizhou Key Laboratory for Tobacco Quality, College of Tobacco Science of Guizhou University, Guiyang, China
| | - Guangjin Fan
- College of Plant Protection, Southwest University, Chongqing, China
| | - Xianchao Sun
- College of Plant Protection, Southwest University, Chongqing, China
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24
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Xiao K, Cao H, Yang B, Xv Z, Xiao L, Wang J, Ni S, Feng H, He Z, Xv L, Li J, Xv D. Association between the triglyceride glucose index and chronic total coronary occlusion: A cross-sectional study from southwest China. Nutr Metab Cardiovasc Dis 2024; 34:850-859. [PMID: 38161119 DOI: 10.1016/j.numecd.2023.10.036] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 10/24/2023] [Accepted: 10/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND AND AIM Insulin resistance (IR) plays an important role in the atherosclerotic process, and the triglyceride glucose (TyG) index is a reliable indicator of IR and is strongly associated with cardiovascular disease. However, there are few studies regarding the relationship between the TyG index and chronic total coronary occlusion (CTO). Herein, the correlation between the TyG index and CTO, as well as their interactions with other traditional cardiovascular risk factors, were investigated. METHODS AND RESULTS We enrolled 2691 patients who underwent coronary angiography at Guangyuan Central Hospital from January 2019 to October 2021. TyG index results were used to create three groups using the trichotomous method. CTO was defined as complete occlusion of the coronary artery for ≥3 months. Univariate and multivariate logistic regression models, restricted cubic splines, receiver operating characteristic (ROC) curves, and subgroup analyses was performed. A significant correlation between the TyG index and CTO was noted. The risk of CTO was increased 2.09-fold in the group with the highest TyG compared with the lowest (OR, 2.09; 95 % CI, 1.05-4.17; P = 0.036). In addition, there was a linear dose-response relationship between the TyG index and CTO (nonlinear P = 0.614). The area under the ROC curve was 0.643 (95 % CI, 0.572-0.654). Using subgroup analyses, we observed that the TyG index was associated with a significantly higher risk of CTO in males and smokers. CONCLUSIONS An elevated TyG index was related to the risk of CTO and may constitute a meaningful predictor of CTO, particularly in males and in smokers.
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Affiliation(s)
- Kaiyong Xiao
- Department of Cardiology, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China.
| | - Huili Cao
- Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030000, China
| | - Bin Yang
- Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030000, China
| | - Zhe Xv
- Department of Pediatric, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Lian Xiao
- Department of Cardiology, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Jianping Wang
- Department of Cardiology, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Shuiqing Ni
- Department of Cardiology, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Hui Feng
- Medical Laboratory Center, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Zhongwei He
- Department of Cardiology, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Lei Xv
- Department of Cardiology, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Juan Li
- Department of Cardiology, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
| | - Dongmei Xv
- Department of Ultrasonography, Guangyuan Central Hospital, 16 Jingxiangzi, Guangyuan, Sichuan 628017, China
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25
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Cao Z, Aharonian F, Axikegu, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Bian W, Bukevich AV, Cao Q, Cao WY, Cao Z, Chang J, Chang JF, Chen AM, Chen ES, Chen HX, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen S, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng N, Cheng YD, Cui MY, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Danzengluobu, Dong XQ, Duan KK, Fan JH, Fan YZ, Fang J, Fang JH, Fang K, Feng CF, Feng H, Feng L, Feng SH, Feng XT, Feng Y, Feng YL, Gabici S, Gao B, Gao CD, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Giacinti G, Gong GH, Gou QB, Gu MH, Guo FL, Guo XL, Guo YQ, Guo YY, Han YA, Hasan M, He HH, He HN, He JY, He Y, Hor YK, Hou BW, Hou C, Hou X, Hu HB, Hu Q, Hu SC, Huang DH, Huang TQ, Huang WJ, Huang XT, Huang XY, Huang Y, Ji XL, Jia HY, Jia K, Jiang K, Jiang XW, Jiang ZJ, Jin M, Kang MM, Karpikov I, Kuleshov D, Kurinov K, Li BB, Li CM, Li C, Li C, Li D, Li F, Li HB, Li HC, Li J, Li J, Li K, Li SD, Li WL, Li WL, Li XR, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu DB, Liu H, Liu HD, Liu J, Liu JL, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Luo Q, Luo Y, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Min Z, Mitthumsiri W, Mu HJ, Nan YC, Neronov A, Ou LJ, Pattarakijwanich P, Pei ZY, Qi JC, Qi MY, Qiao BQ, Qin JJ, Raza A, Ruffolo D, Sáiz A, Saeed M, Semikoz D, Shao L, Shchegolev O, Sheng XD, Shu FW, Song HC, Stenkin YV, Stepanov V, Su Y, Sun DX, Sun QN, Sun XN, Sun ZB, Takata J, Tam PHT, Tang QW, Tang R, Tang ZB, Tian WW, Wang C, Wang CB, Wang GW, Wang HG, Wang HH, Wang JC, Wang K, Wang K, Wang LP, Wang LY, Wang PH, Wang R, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu QW, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xiang GM, Xiao DX, Xiao G, Xin YL, Xing Y, Xiong DR, Xiong Z, Xu DL, Xu RF, Xu RX, Xu WL, Xue L, Yan DH, Yan JZ, Yan T, Yang CW, Yang CY, Yang F, Yang FF, Yang LL, Yang MJ, Yang RZ, Yang WX, Yao YH, Yao ZG, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zha M, Zhang BB, Zhang F, Zhang H, Zhang HM, Zhang HY, Zhang JL, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zhao XH, Zheng F, Zhong WJ, Zhou B, Zhou H, Zhou JN, Zhou M, Zhou P, Zhou R, Zhou XX, Zhou XX, Zhu BY, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zou YC, Zuo X. Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A. Phys Rev Lett 2024; 132:131002. [PMID: 38613275 DOI: 10.1103/physrevlett.132.131002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/23/2024] [Accepted: 02/12/2024] [Indexed: 04/14/2024]
Abstract
We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at 3.67±0.05±0.15 PeV. Below the knee, the spectral index is found to be -2.7413±0.0004±0.0050, while above the knee, it is -3.128±0.005±0.027, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -0.1200±0.0003±0.0341. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components.
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Affiliation(s)
- Zhen Cao
- Key Laboratory of Particle Astrophysics 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, 610000 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
| | - Axikegu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y X Bai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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 Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - Y J Bi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Bian
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - A V Bukevich
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Q Cao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - W Y Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Zhe Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - J Chang
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J F Chang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - A M Chen
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - E S Chen
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - H X Chen
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Liang Chen
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Lin Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M L Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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 Chen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - S H Chen
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - S Z Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
| | - N Cheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y D Cheng
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - M Y Cui
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, 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 and 510275 Guangzhou, Guangdong, China
| | - B Z Dai
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - H L Dai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
| | - Danzengluobu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - X Q Dong
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - K K Duan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio 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 and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Fang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J H Fang
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - K Fang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
| | - L Feng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X T Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Y Feng
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Y L Feng
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - S Gabici
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - B Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C D Gao
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Q Gao
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - W Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W K Gao
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - M M Ge
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - L S Geng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - G Giacinti
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q B Gou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M H Gu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
| | - 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Y Guo
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio 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
| | - M Hasan
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - H H He
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - H N He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Y He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y He
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - 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 and 510275 Guangzhou, Guangdong, China
| | - B W Hou
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - C Hou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Hou
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - Q Hu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S C Hu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- China Center of Advanced Science and Technology, Beijing 100190, China
| | - D H Huang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - T Q Huang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W J Huang
- 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 and 510275 Guangzhou, Guangdong, 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 and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y Huang
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - X L Ji
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - X W Jiang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z J Jiang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Jin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M M Kang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - I Karpikov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - D Kuleshov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - K Kurinov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - B B Li
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - C M Li
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Cheng Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Cong Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Li
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - F Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H B Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H C Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Jian Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Jie Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - K Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S D Li
- 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
| | - W L Li
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W L Li
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - X R Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Xin Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y Z Li
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - Zhe Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhuo Li
- School of Physics, Peking University, 100871 Beijing, China
| | - E W Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Y F Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, 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 and 510275 Guangzhou, Guangdong, China
| | - B Liu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - C Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Liu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D B Liu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
| | - Q Luo
- 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 and 510275 Guangzhou, Guangdong, China
| | - Y Luo
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H K Lv
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Ma
- School of Physics, Peking University, 100871 Beijing, China
| | - L L Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X H Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J R Mao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Min
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Mitthumsiri
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - H J Mu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - Y C Nan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - A Neronov
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - L J Ou
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, 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
| | - J C Qi
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - M Y Qi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Qiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J J Qin
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - A Raza
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, 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
| | - M Saeed
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - D Semikoz
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F W Shu
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, 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 and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - D X Sun
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio 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
- Guangxi Key Laboratory for Relativistic Astrophysics, 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
| | - J Takata
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, 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 and 510275 Guangzhou, Guangdong, China
| | - Q W Tang
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - R Tang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Z B Tang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W W Tian
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - C Wang
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - C B Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - G W Wang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - H G Wang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - H H 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 and 510275 Guangzhou, Guangdong, China
| | - J C Wang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Kai Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Kai Wang
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - L P Wang
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - L Y Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - P H Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - R Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, 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 and 510275 Guangzhou, Guangdong, China
| | - X G Wang
- Guangxi Key Laboratory for Relativistic Astrophysics, 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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 and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zheng Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - D M Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y J Wei
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - T Wen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - C Y Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q W Wu
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - S Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X F Wu
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J Xia
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, 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
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - G Xiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
| | - D R Xiong
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Xiong
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - D L Xu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - R F Xu
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - R X Xu
- School of Physics, Peking University, 100871 Beijing, China
| | - W L Xu
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D H Yan
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J Z Yan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T Yan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C W Yang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - C Y Yang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Yang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - F F Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 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 and 510275 Guangzhou, Guangdong, China
| | - M J Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R Z Yang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - W X Yang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y H Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z G Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Q Yin
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - N Yin
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X H You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z Y You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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 and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - H Yue
- Key Laboratory of Particle Astrophysics 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, 610000 Chengdu, Sichuan, China
| | - H D Zeng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T X Zeng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
| | - M Zha
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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 Zhang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H M Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - H Y Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Li Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, 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 and Key Laboratory of Radio 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 and Key Laboratory of Radio 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - X P Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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
| | - Yi Zhang
- Key Laboratory of Particle Astrophysics 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 and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Yong Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 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 Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Zhao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - L Z Zhao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S P Zhao
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - X H Zhao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Zheng
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - W J Zhong
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - B Zhou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H Zhou
- Tsung-Dao Lee Institute and 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
| | - M Zhou
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, 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
- Key Laboratory of Particle Astrophysics 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, 610000 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
| | - B Y Zhu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, 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 Astrophysics 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, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y C Zou
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - X Zuo
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
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Wang D, Feng H, Zhou J, Liu TH, Zhang ZY, Xu YY, Tang J, Peng WH, He XL. New insights into the stipitate hydnoid fungi Sarcodon, Hydnellum, and the formerly informally defined Neosarcodon, with emphasis on the edible species marketed in Southwest China. IMA Fungus 2024; 15:8. [PMID: 38528625 DOI: 10.1186/s43008-023-00138-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/20/2023] [Indexed: 03/27/2024] Open
Abstract
Sarcodon and Hydnellum are two ectomycorrhizal genera of important ecological and economic value in Southwest China, and they are common in the free markets in this region. It was estimated that more than 1,500 tonnes of them were sold as edible per year, but there was little information about the taxonomic placements of these edible mushrooms sold in the markets. Traditional concepts of the two genera have also been challenged recently, and circumscription of Sarcodon and the informally defined clade "Neosarcodon" remained unresolved. In the present study, specimens collected in the field and purchased from the markets in Southwest China were analyzed based on morphological characters and DNA sequences. Phylogeny of the traditional Sarcodon s. lat. and Hydnellum s. lat. was reconstructed from the combined internal transcribed spacer (ITS), nuclear large ribosomal subunit (nLSU) and RNA polymerase II second largest subunit (RPB2) dataset based on expanded samples to reevaluate the taxonomic placements of the two genera. In the present molecular analyses, four distinct clades were recovered and strongly supported: Hydnellum, Neosarcodon, Phellodon and Sarcodon. Neosarcodon is formally introduced as a generic name to include nine species previously placed in Sarcodon, and the delimitation of Sarcodon is revised based on phylogenetic and morphological studies. Phylogenetic analyses also revealed an unexpected species diversity (17 phylogenetic species) of Sarcodon and Hydnellum in the markets; nine phylogenetic species of Sarcodon and eight of Hydnellum were uncovered from the samples collected in the markets. Eight species were resolved in the traditional S. imbricatus complex, with S. imbricatus s.str. being the most common edible stipitate hydnoid fungal species. Three of the edible Hydnellum species (H. edulium, H. subalpinum, and H. subscabrosellum), and five separated from the S. imbricatus complex (Sarcodon flavidus, S. giganteus, S. neosquamosus, S. nigrosquamosus, and S. pseudoimbricatus), are described as new. Three new Chinese records (H. illudens, H. martioflavum, and H. versipelle), and the notable S. imbricatus and S. leucopus are also reported.
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Affiliation(s)
- Di Wang
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
| | - Hui Feng
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
- Jilin Agricultural University, Changchun, 130041, China
| | - Jie Zhou
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
| | - Tian-Hai Liu
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
| | - Zhi-Yuan Zhang
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
| | - Ying-Yin Xu
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
| | - Jie Tang
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
| | - Wei-Hong Peng
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China
| | - Xiao-Lan He
- Sichuan Institute of Edible Fungi, Chengdu, 610066, China.
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Chen Y, Feng H, Li J, Liu B, Jiang C, Liu Y, Fang Q, Liaw PK. Dislocation flow turbulence simultaneously enhances strength and ductility. Proc Natl Acad Sci U S A 2024; 121:e2316912121. [PMID: 38502698 PMCID: PMC10990144 DOI: 10.1073/pnas.2316912121] [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: 09/29/2023] [Accepted: 01/25/2024] [Indexed: 03/21/2024] Open
Abstract
Multi-principal element alloys (MPEAs) exhibit outstanding strength attributed to the complex dislocation dynamics as compared to conventional alloys. Here, we develop an atomic-lattice-distortion-dependent discrete dislocation dynamics framework consisted of random field theory and phenomenological dislocation model to investigate the fundamental deformation mechanism underlying massive dislocation motions in body-centered cubic MPEA. Amazingly, the turbulence of dislocation speed is identified in light of strong heterogeneous lattice strain field caused by short-range ordering. Importantly, the vortex from dislocation flow turbulence not only acts as an effective source to initiate dislocation multiplication but also induces the strong local pinning trap to block dislocation movement, thus breaking the strength-ductility trade-off.
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Affiliation(s)
- Yang Chen
- College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, People’s Republic of China
| | - Hui Feng
- College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, People’s Republic of China
| | - Jia Li
- College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, People’s Republic of China
| | - Bin Liu
- State Key Laboratory of Powder Metallurgy, Central South University, Changsha410083, People’s Republic of China
| | - Chao Jiang
- College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, People’s Republic of China
| | - Yong Liu
- State Key Laboratory of Powder Metallurgy, Central South University, Changsha410083, People’s Republic of China
| | - Qihong Fang
- College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, People’s Republic of China
| | - Peter K. Liaw
- Department of Materials Science and Engineering, The University of Tennessee, Knoxville, TN37996
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Qin X, Lam A, Zhang X, Sengupta S, Iorgulescu JB, Ni H, Das S, Rager M, Zhou Z, Zuo T, Meara GK, Floru AE, Kemet C, Veerapaneni D, Kashy D, Lin L, Lloyd K, Kwok L, Smith KS, Nagaraju RT, Meijers R, Ceol C, Liu CT, Alexandrescu S, Wu CJ, Keskin DB, George RE, Feng H. CKLF instigates a "cold" microenvironment to promote MYCN-mediated tumor aggressiveness. Sci Adv 2024; 10:eadh9547. [PMID: 38489372 PMCID: PMC10942121 DOI: 10.1126/sciadv.adh9547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 02/08/2024] [Indexed: 03/17/2024]
Abstract
Solid tumors, especially those with aberrant MYCN activation, often harbor an immunosuppressive microenvironment to fuel malignant growth and trigger treatment resistance. Despite this knowledge, there are no effective strategies to tackle this problem. We found that chemokine-like factor (CKLF) is highly expressed by various solid tumor cells and transcriptionally up-regulated by MYCN. Using the MYCN-driven high-risk neuroblastoma as a model system, we demonstrated that as early as the premalignant stage, tumor cells secrete CKLF to attract CCR4-expressing CD4+ cells, inducing immunosuppression and tumor aggression. Genetic depletion of CD4+ T regulatory cells abolishes the immunorestrictive and protumorigenic effects of CKLF. Our work supports that disrupting CKLF-mediated cross-talk between tumor and CD4+ suppressor cells represents a promising immunotherapeutic approach to battling MYCN-driven tumors.
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Affiliation(s)
- Xiaodan Qin
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Andrew Lam
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Xu Zhang
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Satyaki Sengupta
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - J. Bryan Iorgulescu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hongru Ni
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sanjukta Das
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- School of Biotechnology, KIIT University, Bhubanesw, India
| | - Madison Rager
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Zhenwei Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Tao Zuo
- Department of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Grace K. Meara
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Alexander E. Floru
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Chinyere Kemet
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Divya Veerapaneni
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Daniel Kashy
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Liang Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Lauren Kwok
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Kaylee S. Smith
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Raghavendar T. Nagaraju
- Faculty of Biology, Medicine and Health, Division of Cancer Sciences, University of Manchester, Manchester, UK
- Colorectal and Peritoneal Oncology Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - Rob Meijers
- Institute for Protein Innovation, Boston, MA, USA
| | - Craig Ceol
- Department of Molecular, Cell and Cancer Biology, Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sanda Alexandrescu
- Department of Pathology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Catherine J. Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Derin B. Keskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
- Department of Computer Science, Metropolitan College, Boston University, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rani E. George
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Hui Feng
- Departments of Pharmacology, Physiology & Biophysics and Medicine, Section of Hematology and Medical Oncology, Cancer Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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Pan J, Peng X, Yao C, Zuo J, Lei T, Feng H, Zhang K, Zhu E, Qian Z. Target-activated multicolor fluorescent dyes for 3D imaging of plasma membranes and tracking of apoptosis. J Mater Chem B 2024; 12:2761-2770. [PMID: 38380679 DOI: 10.1039/d3tb02601a] [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: 02/22/2024]
Abstract
Real-time tracking of dynamic changes in the three-dimensional morphology of the cell plasma membrane is of great importance for a deeper understanding of physiological processes related to the cell plasma membrane. However, there is a lack of imaging dyes that can specifically be used for a long term labelling of plasma membranes, especially for plant cells. Here, we have used molecular engineering strategies to develop a series of target-activated multicolour fluorescent dyes that can be used for long-term and three-dimensional imaging of plant cell plasma membranes. By combining different electron acceptors and donors, four molecular backbones with different emission colours from green to NIR have been obtained. In the designed styrene-based dyes, referred to as the SD dyes, several functional groups were introduced into the backbones to achieve the properties of target-activated fluorescence, rapid and wash-free staining, high plasma membrane targeting ability and long-term imaging function. Using onion epidermal cells as a platform, these dye molecules can provide high-quality imaging of the plasma membrane for up to 6 hours, providing a powerful tool for long-term monitoring of plasma membrane-related biological events. Calcium-mediated apoptosis of plant cells has been tracked for the first time by monitoring the morphological changes of the plasma membrane in real time using SD dyes. These dyes also exhibit excellent 3D imaging performance of the plasma membrane and were further used to track in real time the 3D morphological changes of the plasma membrane during plasmolysis of plant cells, providing a powerful imaging tool for three-dimensional (3D) biology. This work provides a set of multi-colour dye tools for long-term and three-dimensional imaging of plant cell plasma membranes, and also provides molecular design principles for guiding the transmembrane transport of small molecules.
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Affiliation(s)
- Junjun Pan
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Xin Peng
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Chuangye Yao
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Jiaqi Zuo
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Tingting Lei
- College of Life Sciences, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Hui Feng
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Kewei Zhang
- College of Life Sciences, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Engao Zhu
- College of Life Sciences, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
| | - Zhaosheng Qian
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Yingbin Road 688, Jinhua 321004, China.
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Xu J, Liao R, Xue M, Shang S, Zhou M, Liu Z, Feng H, Huang S. Mutations in BrABCG26, encoding an ATP-binding cassette transporter, are responsible for male sterility in Chinese cabbage (Brassica rapa L. ssp. pekinensis). Theor Appl Genet 2024; 137:63. [PMID: 38427048 DOI: 10.1007/s00122-024-04573-5] [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] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 02/03/2024] [Indexed: 03/02/2024]
Abstract
KEY MESSAGE The gene BrABCG26 responsible for male sterility of Chinese cabbage was confirmed by two allelic mutants. Male-sterile lines are an important way of heterosis utilization in Chinese cabbage. In this study, two allelic male-sterile mutants msm3-1 and msm3-2 were obtained from a Chinese cabbage double haploid (DH) line 'FT' by using EMS-mutagenesis. Compared to the wild-type 'FT,' the stamens of mutants were completely degenerated and had no pollen, and other characters had no obvious differences. Cytological observation revealed that the failure of vacuolation of the mononuclear microspore, accompanied by abnormal tapetal degradation, resulted in anther abortion in mutants. Genetic analysis showed that a recessive gene controlled the mutant trait. MutMap combined with kompetitive allele specific PCR genotyping analyses showed that BraA01g038270.3C, encoding a transporter ABCG26 that played a vital role in pollen wall formation, was the candidate gene for msm3-1, named BrABCG26. Compared with wild-type 'FT,' the mutations existed on the second exon (C to T) and the sixth exon (C to T) of BrABCG26 gene in mutants msm3-1 and msm3-2, leading to the loss-of-function truncated protein, which verified the BrABCG26 function in stamen development. Subcellular localization and expression pattern analysis indicated that BrABCG26 was localized in the nucleus and was expressed in all organs, with the highest expression in flower buds. Compared to the wild-type 'FT,' the expressions of BrABCG26 were significantly reduced in flower buds and anthers of mutants. Promoter activity analysis showed that a strong GUS signal was detected in flower buds. These results indicated that BrABCG26 is responsible for the male sterility of msm3 mutants in Chinese cabbage.
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Affiliation(s)
- Junjie Xu
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China
| | - Ruiqi Liao
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China
| | - Meihui Xue
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China
| | - Shayu Shang
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China
| | - Mingwei Zhou
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China
| | - Zhiyong Liu
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China
| | - Hui Feng
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China
| | - Shengnan Huang
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road Shenhe District, Shenyang, 110866, People's Republic of China.
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31
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Zhao Y, Chen Y, Xiao LD, Liu Q, Nan J, Li X, Feng H. Intrinsic capacity trajectories, predictors and associations with care dependence in community-dwelling older adults: A social determinant of health perspective. Geriatr Nurs 2024; 56:46-54. [PMID: 38237340 DOI: 10.1016/j.gerinurse.2023.12.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/29/2023] [Accepted: 12/31/2023] [Indexed: 04/05/2024]
Abstract
AIMS To identify intrinsic capacity trajectories, predictors of intrinsic capacity trajectories and associations between intrinsic capacity trajectories and care dependence in community-dwelling older adults in China. METHODS A retrospective longitudinal study was conducted, and the data were obtained from a five-year national longitudinal cohort study of older adults in China between 2011 and 2015. The social determinants of health framework informed the data analysis and interpretation. RESULTS A total of 3893 older adults met the selection criteria and were included in the study. Three intrinsic capacity trajectories were identified: high trajectory (15.7 %), stable trajectory (52.7 %) and declining trajectory (31.6 %). Social determinants contribute to intrinsic capacity decline in older adults. Decreased cognitive function, psychological status, and locomotion at baseline were associated with care dependence. CONCLUSION Approximately thirty percent of the older adults in this cohort study experienced a decline in intrinsic capacity within a 5-year period. Social determinants contributed to this decline in older adults.
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Affiliation(s)
- Yinan Zhao
- Xiangya School of Nursing, Central South University, Changsha, Hunan province, China
| | - Yifei Chen
- Xiangya School of Nursing, Central South University, Changsha, Hunan province, China
| | - Lily Dongxia Xiao
- College of Nursing and Health Sciences, Flinders University, Sturt Road, Bedford Park, South Australia, 5042, GPO Box 2100, Adelaide, SA 5001, Australia.
| | - Qingcai Liu
- Xiangya School of Nursing, Central South University, Changsha, Hunan province, China
| | - Jiahui Nan
- Xiangya School of Nursing, Central South University, Changsha, Hunan province, China
| | - Xiaoyang Li
- Xiangya School of Nursing, Central South University, Changsha, Hunan province, China
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha, Hunan province, China; Xiangya-Oceanwide Health Management Research Institute, Central South University, China.
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32
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Feng H, Feng ML, Cheng JB, Zhang X, Tao HC. Meta-analysis of factors influencing anterior knee pain after total knee arthroplasty. World J Orthop 2024; 15:180-191. [PMID: 38464355 PMCID: PMC10921178 DOI: 10.5312/wjo.v15.i2.180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/20/2023] [Accepted: 01/22/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Total knee arthroplasty (TKA) is a mature procedure recommended for correcting knee osteoarthritis deformity, relieving pain, and restoring normal biomechanics. Although TKA is a successful and cost-effective procedure, patient dissatisfaction is as high as 50%. Knee pain after TKA is a significant cause of patient dissatisfaction; the most common location for residual pain is the anterior region. Between 4% and 40% of patients have anterior knee pain (AKP). AIM To investigate the effect of various TKA procedures on postoperative AKP. METHODS We searched PubMed, EMBASE, and Cochrane from January 2000 to September 2022. Randomized controlled trials with one intervention in the experimental group and no corresponding intervention (or other interventions) in the control group were collected. Two researchers independently read the title and abstract of the studies, preliminarily screened the articles, and read the full text in detail according to the selection criteria. Conflicts were resolved by consultation with a third researcher. And relevant data from the included studies were extracted and analyzed using Review Manager 5.4 software. RESULTS There were 25 randomized controlled trials; 13 were comparative studies with or without patellar resurfacing. The meta-analysis showed no significant difference between the experimental and control groups (P = 0.61). Six studies were comparative studies of circumpatellar denervation vs non-denervation, divided into three subgroups for meta-analysis. The two-subgroup meta-analysis showed no significant difference between the experimental and the control groups (P = 0.31, P = 0.50). One subgroup meta-analysis showed a significant difference between the experimental and control groups (P = 0.001). Two studies compared fixed-bearing TKA and mobile-bearing TKA; the results meta-analysis showed no significant difference between the experimental and control groups (P = 0.630). Two studies compared lateral retinacular release vs non-release; the meta-analysis showed a significant difference between the experimental and control groups (P = 0.002); two other studies compared other factors. CONCLUSION Patellar resurfacing, mobile-bearing TKA, and fixed-bearing TKA do not reduce the incidence of AKP. Lateral retinacular release can reduce AKP; however, whether circumpatellar denervation can reduce AKP is controversial.
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Affiliation(s)
- Hui Feng
- Department of Orthopaedic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Ming-Li Feng
- Department of Orthopaedic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Jing-Bo Cheng
- Department of Orthopaedic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Xiang Zhang
- Department of Orthopaedic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Hai-Cheng Tao
- Department of Orthopaedic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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Wang T, Lv L, Feng H, Gu W. Unlocking the Potential: Quercetin and Its Natural Derivatives as Promising Therapeutics for Sepsis. Biomedicines 2024; 12:444. [PMID: 38398046 PMCID: PMC10887054 DOI: 10.3390/biomedicines12020444] [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: 12/14/2023] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Sepsis is a syndrome of organ dysfunction caused by an uncontrolled inflammatory response, which can seriously endanger life. Currently, there is still a shortage of specific therapeutic drugs. Quercetin and its natural derivatives have received a lot of attention recently for their potential in treating sepsis. Here, we provide a comprehensive summary of the recent research progress on quercetin and its derivatives, with a focus on their specific mechanisms of antioxidation and anti-inflammation. To obtain the necessary information, we conducted a search in the PubMed, Web of Science, EBSCO, and Cochrane library databases using the keywords sepsis, anti-inflammatory, antioxidant, anti-infection, quercetin, and its natural derivatives to identify relevant research from 6315 articles published in the last five years. At present, quercetin and its 11 derivatives have been intensively studied. They primarily exert their antioxidation and anti-inflammation effects through the PI3K/AKT/NF-κB, Nrf2/ARE, and MAPK pathways. The feasibility of these compounds in experimental models and clinical application were also discussed. In conclusion, quercetin and its natural derivatives have good application potential in the treatment of sepsis.
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Affiliation(s)
- Tian Wang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, China; (T.W.); (L.L.)
| | - Linxi Lv
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, China; (T.W.); (L.L.)
| | - Hui Feng
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, China; (T.W.); (L.L.)
| | - Wei Gu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, China; (T.W.); (L.L.)
- College of Bioengineering, Chongqing University, Chongqing 400044, China
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Chen X, Feng J, Li Z, Feng H, Song C, Cai L, Joosten MHAJ, Du Y. Lipid transfer protein StLTPa enhances potato disease resistance against different pathogens by binding and disturbing the integrity of pathogens plasma membrane. Plant Biotechnol J 2024. [PMID: 38366362 DOI: 10.1111/pbi.14310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 01/20/2024] [Accepted: 02/02/2024] [Indexed: 02/18/2024]
Abstract
Potato is the third most important food crop worldwide. Potato production suffers from severe diseases caused by multiple detrimental plant pathogens, and broad-spectrum disease resistance genes are rarely identified in potato. Here we identified the potato non-specific lipid transfer protein StLTPa, which enhances species none-specific disease resistance against various pathogens, such as the oomycete pathogen Phytophthora infestans, the fungal pathogens Botrytis cinerea and Verticillium dahliae, and the bacterial pathogens Pectobacterium carotovorum and Ralstonia solanacearum. The StLTPa overexpression potato lines do not show growth penalty. Furthermore, we provide evidence that StLTPa binds to lipids present in the plasma membrane (PM) of the hyphal cells of P. infestans, leading to an increased permeability of the PM. Adding of PI(3,5)P2 and PI(3)P could compete the binding of StLTPa to pathogen PM and reduce the inhibition effect of StLTPa. The lipid-binding activity of StLTPa is essential for its role in pathogen inhibition and promotion of potato disease resistance. We propose that StLTPa enhances potato broad-spectrum disease resistance by binding to, and thereby promoting the permeability of the PM of the cells of various pathogens. Overall, our discovery illustrates that increasing the expression of a single gene in potato enhances potato disease resistance against different pathogens without growth penalty.
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Affiliation(s)
- Xiaokang Chen
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production and College of Horticulture, Northwest A&F University, Yangling, China
| | - Jiashu Feng
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production and College of Horticulture, Northwest A&F University, Yangling, China
| | - Zhenzhen Li
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production and College of Horticulture, Northwest A&F University, Yangling, China
| | - Hui Feng
- College of Tobacco Science of Guizhou University/Key laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education)/Guizhou Key Lab of Agro-Bioengineering, Guiyang, China
| | - Chunxu Song
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, Beijing, China
- National Academy of Agriculture Green Development, China Agricultural University, Beijing, China
| | - Lin Cai
- College of Tobacco Science of Guizhou University/Key laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education)/Guizhou Key Lab of Agro-Bioengineering, Guiyang, China
| | | | - Yu Du
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production and College of Horticulture, Northwest A&F University, Yangling, China
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Ning H, Chen F, Li J, Du Y, Chen X, Wu S, Joseph A, Gao Y, Cao Z, Feng H. Effectiveness of a multicomponent exercise intervention in community-dwelling older Chinese people with cognitive frailty: protocol for a mixed-methods research. Front Aging Neurosci 2024; 16:1282263. [PMID: 38410748 PMCID: PMC10895061 DOI: 10.3389/fnagi.2024.1282263] [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: 08/23/2023] [Accepted: 01/15/2024] [Indexed: 02/28/2024] Open
Abstract
Aims To evaluate the effectiveness of a multicomponent exercise intervention and to clarify the underlying mechanisms of the program in community-dwelling older adults with cognitive frailty. Additionally, the perception of participants in the program will be explored. Design A mixed-methods design, including a randomized controlled trial and an exploratory qualitative study, was used. Methods Each group consists of 41 participants. The experimental group will undergo a 12-week multicomponent exercise intervention, including warm-up, exergaming aerobic exercise, elastic-band resistance exercise, and cool-down. This intervention was developed based on the Health Belief Model (HBM) and Self-Efficacy Model (SEM). The control group will not receive any intervention. Physical frailty and cognitive function will be considered as primary outcomes. Data will be collected both at baseline and at the end of the intervention period. Fisher's exact test, analysis of covariance, and generalized linear models will be conducted to compare mean changes between the two groups. Additionally, the mediation models will be used to examine whether any intervention effects are mediated through exercise self-efficacy. Discussion The findings of this study are anticipated to provide valuable insights for healthcare providers, enabling them to learn about effective strategies to enhance exercise adherence and promote improved functionality, independence, and quality of life for older adults with cognitive frailty.Clinical trial registration: [https://clinicaltrials.gov/], identifier [ChiCTR2200058850].
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Affiliation(s)
- Hongting Ning
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
- School of Nursing, Johns Hopkins University, Baltimore, MD, United States
| | - Fenghui Chen
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Junxin Li
- School of Nursing, Johns Hopkins University, Baltimore, MD, United States
| | - Yan Du
- School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Xi Chen
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Shuang Wu
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Abigael Joseph
- School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Yinyan Gao
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Zeng Cao
- Department of Physical Medicine and Rehabilitation, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
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Wang D, Li RW, Zhang X, Feng F, Feng H, Lu L, Feng B, Liu SD, Nie ZQ. Controlling nonlinear collapse of ellipticity and orientation of a co-variant vector optical field. Opt Express 2024; 32:5230-5241. [PMID: 38439255 DOI: 10.1364/oe.511324] [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: 11/07/2023] [Accepted: 01/16/2024] [Indexed: 03/06/2024]
Abstract
A vector optical field with inhomogeneous spatial polarization distribution offers what we believe to be a new paradigm to form controllable filaments. However, it is challenging to steer multiple performances (e.g. number, orientation, and interval) of filaments in transparent nonlinear media at one time. Herein, we theoretically self-design and generate a kind of believed to be novel ellipticity and orientation co-variant vector optical field to interact with Kerr medium to solve this issue. The collapsing behaviors of such a new hybrid vector optical field reveal that, by judiciously adjusting the inherent topological charge and initial phase of incident optical field, we are able to give access to stable collapsing filamentation with tunable numbers, orientations and interval. Additionally, the collapsing patterns presented are immune nearly to the extra random noise. The relevant mechanism behind the collapse of the vector optical field is elucidated as well. The findings in this work may have huge potential in optical signal processing, laser machining, and other related applications.
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Liu MY, Zhu L, Yang Y, Ma YL, Feng H. [Research progress in clinical diagnosis and treatment of osteosarcoma of the jaw]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:197-203. [PMID: 38280741 DOI: 10.3760/cma.j.cn112144-20230719-00025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/29/2024]
Abstract
Osteosarcoma of the jaw (JOS), is a relatively rare type of osteosarcoma, with a unique pathogenesis and pathological manifestations. The clinical manifestation of JOS is not characteristic, and it often needs to be diagnosed by combining radiological and pathological examination. At present, the conventional treatment of JOS is a comprehensive treatment based on surgery and supplemented by radiotherapy and chemotherapy. Recently, the emergence of new therapies such as immunotherapy, gene therapy, phototherapy and traditional Chinese medicine has provided more choices for treatment and brought new hope to patients with JOS. Therefore, this article summarized the current understanding of diagnosis and the latest treatment development of JOS.
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Affiliation(s)
- M Y Liu
- Department of Oral Mucosa, Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University & Hunan Clinical Research Center of Oral Major Diseases and Oral Health,Changsha, 410008, China
| | - L Zhu
- Department of Oral Mucosa, Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University & Hunan Clinical Research Center of Oral Major Diseases and Oral Health,Changsha, 410008, China
| | - Y Yang
- Department of Oral Mucosa, Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University & Hunan Clinical Research Center of Oral Major Diseases and Oral Health,Changsha, 410008, China
| | - Y L Ma
- Department of Oral Mucosa, Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University & Hunan Clinical Research Center of Oral Major Diseases and Oral Health,Changsha, 410008, China
| | - H Feng
- Department of Oral Mucosa, Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University & Hunan Clinical Research Center of Oral Major Diseases and Oral Health,Changsha, 410008, China
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Feng H, Yue Y, Zhang Y, Liang J, Liu L, Wang Q, Feng Q, Zhao H. Plant-Derived Exosome-Like Nanoparticles: Emerging Nanosystems for Enhanced Tissue Engineering. Int J Nanomedicine 2024; 19:1189-1204. [PMID: 38344437 PMCID: PMC10859124 DOI: 10.2147/ijn.s448905] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/26/2024] [Indexed: 02/15/2024] Open
Abstract
Tissue engineering holds great potential for tissue repair and rejuvenation. Plant-derived exosome-like nanoparticles (ELNs) have recently emerged as a promising avenue in tissue engineering. However, there is an urgent need to understand how plant ELNs can be therapeutically applied in clinical disease management, especially for tissue regeneration. In this review, we comprehensively examine the properties, characteristics, and isolation techniques of plant ELNs. We also discuss their impact on the immune system, compatibility with the human body, and their role in tissue regeneration. To ensure the suitability of plant ELNs for tissue engineering, we explore various engineering and modification strategies. Additionally, we provide insights into the progress of commercialization and industrial perspectives on plant ELNs. This review aims to highlight the potential of plant ELNs in regenerative medicine by exploring the current research landscape and key findings.
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Affiliation(s)
- Hui Feng
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi’an Jiaotong University, Xi’an City, Shaanxi, 710054, People’s Republic of China
| | - Yang Yue
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi’an Jiaotong University, Xi’an City, Shaanxi, 710054, People’s Republic of China
| | - Yan Zhang
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi’an Jiaotong University, Xi’an City, Shaanxi, 710054, People’s Republic of China
| | - Jingqi Liang
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi’an Jiaotong University, Xi’an City, Shaanxi, 710054, People’s Republic of China
| | - Liang Liu
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi’an Jiaotong University, Xi’an City, Shaanxi, 710054, People’s Republic of China
| | - Qiong Wang
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi’an Jiaotong University, Xi’an City, Shaanxi, 710054, People’s Republic of China
| | - Qian Feng
- Key Laboratory of Biorheological Science and Technology Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, People’s Republic of China
| | - Hongmou Zhao
- Department of Foot and Ankle Surgery, Honghui Hospital of Xi’an Jiaotong University, Xi’an City, Shaanxi, 710054, People’s Republic of China
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Zou J, Huang S, Gao Y, Fu W, Liu Z, Feng H, Zhang M. Mutation in BrFLS encoding flavonol synthase induced anthocyanin accumulation in Chinese cabbage. Theor Appl Genet 2024; 137:44. [PMID: 38324148 DOI: 10.1007/s00122-024-04552-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/10/2024] [Indexed: 02/08/2024]
Abstract
KEY MESSAGE BrFLS mutation promoted anthocyanin accumulation in Chinese cabbage, which was verified in four allelic mutants. Chinese cabbage is a major vegetable crop in Eastern Asia. Anthocyanin-rich vibrantly colored varieties are increasingly favored by consumers for their higher nutritional and aesthetic value compared to the typical green varieties of Chinese cabbage. Herein, we identified an anthocyanin accumulation mutant aam1 from a mutant library of EMS-mutagenized Chinese cabbage DH line 'FT', which appeared partial purple on leaves, bolting stems and floral buds. This anthocyanin accumulation trait was genetically controlled by a recessive nuclear gene, and through MutMap mapping and KASP genotyping, BraA10g030950.3C was identified as the candidate causal gene with a G202 to A202 non-synonymous SNP variation in exon 1. Three additional mutants allelic to aam1 were obtained via screening of similar-phenotype mutants from the mutant library, namely aam2/3/4, where the causal SNPs reside in the same gene as aam1, corroborating that the mutation of BraA10g030950.3C caused anthocyanin accumulation. BraA10g030950.3C encodes a flavonol synthase that catalyzes dihydroflavonols substrate into flavonols and is homologous to Arabidopsis FLS1 (AT5G08640), named BrFLS. Compared to wildtype, the expression level of BrFLS was significantly reduced in the mutants, while BrDFR, which is involved in the anthocyanin biosynthesis and competes with FLS for the common substrate dihydroflavonols, was increased. The flavonol synthase activity decreased, and dihydroflavonol 4-reductase activity was elevated. Differentially accumulated flavonoid metabolites were detected between wildtype and aam1, which were enriched primarily in flavonol and anthocyanin pathways. Our results revealed that mutations in the BrFLS gene could contribute to anthocyanin accumulation and provide a new target for Chinese cabbage color modification.
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Affiliation(s)
- Jiaqi Zou
- College of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, People's Republic of China
| | - Shengnan Huang
- College of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, People's Republic of China
| | - Yue Gao
- College of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, People's Republic of China
| | - Wei Fu
- College of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, People's Republic of China
| | - Zhiyong Liu
- College of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, People's Republic of China
| | - Hui Feng
- College of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, People's Republic of China.
| | - Meidi Zhang
- College of Agriculture, Jilin Agriculture Science and Technology University, Jilin City, 132101, People's Republic of China.
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Zhu L, Gou W, Ou L, Liu B, Liu M, Feng H. Role and new insights of microfibrillar-associated protein 4 in fibrotic diseases. APMIS 2024; 132:55-67. [PMID: 37957836 DOI: 10.1111/apm.13358] [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: 06/16/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023]
Abstract
Fibrosis is one of the most worrisome complications of chronic inflammatory diseases, leading to tissue damage, organ failure, and ultimately, death. The most notable pathological characteristic of fibrosis is the excessive accumulation of extracellular matrix (ECM) components such as collagen and fibronectin adjacent to foci of inflammation or damage. The human microfibrillar-associated protein 4 (MFAP4), an important member of the superfamily of fibrinogen-related proteins, is considered to have an extremely important role in ECM transformation of fibrogenesis. This review summarizes the structure, characteristics, and physiological functions of MFAP4 and the importance of MFAP4 in various fibrotic diseases. Meanwhile, we elaborated the underlying actions and mechanisms of MFAP4 in the development of fibrosis, suggesting that a better understand of MFAP4 broadens novel perspective for early screening, diagnosis, prognostic risk assessment, and treatment of fibrotic diseases.
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Affiliation(s)
- Long Zhu
- Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Changsha, China
- Xiangya Stomatological Hospital, Changsha, China
- Xiangya School of Stomatology, Central South University, Changsha, China
| | - Wenqun Gou
- Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Changsha, China
- Xiangya Stomatological Hospital, Changsha, China
- Xiangya School of Stomatology, Central South University, Changsha, China
- Changsha Stomatological Hospital, Changsha, China
| | - Lijia Ou
- Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Changsha, China
- Department of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, China
| | - Binjie Liu
- Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Changsha, China
- Xiangya Stomatological Hospital, Changsha, China
- Xiangya School of Stomatology, Central South University, Changsha, China
| | - Manyi Liu
- Xiangya Stomatological Hospital, Changsha, China
- Xiangya School of Stomatology, Central South University, Changsha, China
| | - Hui Feng
- Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Changsha, China
- Xiangya Stomatological Hospital, Changsha, China
- Xiangya School of Stomatology, Central South University, Changsha, China
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Zhou TT, Zhu WJ, Feng H, Ni Y, Li ZW, Sun DD, Li L, Tan JN, Yu CT, Shen WX, Cheng HB. A network pharmacology integrated serum pharmacochemistry strategy for uncovering efficacy of YXC on hepatocellular carcinoma. J Ethnopharmacol 2024; 319:117125. [PMID: 37699493 DOI: 10.1016/j.jep.2023.117125] [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: 05/15/2023] [Revised: 07/28/2023] [Accepted: 09/03/2023] [Indexed: 09/14/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE The YangzhengXiaoji capsule (YXC) has a wide range of applications as effective traditional Chinese medicine (TCM) preparation for hepatocellular carcinoma (HCC) in China. However, the potential bioactive components and the mechanisms are yet unclear. AIM OF THE STUDY The treatment mechanism of YXC on HCC using a network pharmacology integrated serum pharmacochemistry strategy to investigate associated targets and pathways. MATERIALS AND METHODS We utilised HPLC-Q-TOF-MS/MS technology to identify components of the serum samples from both the model group and the YXC (H) group serum, which were collected from nude mice with orthotopic liver tumours. Following this, we conducted compound-target prediction and identified the overlap between the target genes in the YXC group and the oncogenes associated with HCC. The anticancer mechanisms of YXC were investigated by creating a compound-target-pathway network using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) analysis. The anticancer efficacy was evaluated in vitro and in vivo. Also, potential predictive targets and pathways associated with YXC in HCC treatment were assessed by western blotting. RESULTS The YXC (H) serum had 47 bioactive compounds compared to other models, and identified 173 specific target genes. Using the compound-target-disease network, 141 possible target genes were identified. The KEGG pathway analysis revealed vital enrichment of pathways associated with HCC, including regulating Oncology related pathways of inflammation, immunity, apoptosis, and necrosis biological processes. YXC significantly inhibited HCC cell growth in vitro and in vivo. After YXC treatment, western blotting detected alterations in the p53/Bcl-2/Bax/Caspase-3 and PI3K/Akt pathways. CONCLUSIONS YXC can inhibit HCC development and advancement by a variety of components, targets and pathways, especially apoptosis-induction.
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Affiliation(s)
- Ting-Ting Zhou
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China
| | - Wen-Jian Zhu
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China
| | - Hui Feng
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China
| | - Yue Ni
- Yancheng Hospital of Traditional Chinese Medicine, 224000, Yancheng, China
| | - Zi-Wen Li
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China
| | - Dong-Dong Sun
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China; Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, 210023, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumour, 210023, Nanjing, China
| | - Liu Li
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China; Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, 210023, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumour, 210023, Nanjing, China
| | - Jia-Ni Tan
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China; Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, 210023, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumour, 210023, Nanjing, China
| | - Cheng-Tao Yu
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China; Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, 210023, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumour, 210023, Nanjing, China
| | - Wei-Xing Shen
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China; Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, 210023, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumour, 210023, Nanjing, China.
| | - Hai-Bo Cheng
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, 210023, Nanjing, China; Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, 210023, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumour, 210023, Nanjing, China.
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Wu Y, Ping X, Yao C, Wu P, Han Z, Peng X, Zhan J, Feng H, Qian Z. Photoinduced fluorescence modulation through controllable intramolecular [2+2] photocycloaddition in single molecules and molecular aggregates. Chem Commun (Camb) 2024; 60:1301-1304. [PMID: 38197137 DOI: 10.1039/d3cc05846h] [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: 01/11/2024]
Abstract
We report a general molecular design strategy of spatial proximity, which allows intramolecular [2+2] photocycloaddition reaction to take place in both single molecules and molecular aggregates. Sharply contrasting photoinduced fluorescence changes in solution and in the solid state were found and attributed to the aggregation-induced quenching property of the monomers and the aggregation-induced emission nature of the photodimers.
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Affiliation(s)
- Yuzhen Wu
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Xinni Ping
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Chuangye Yao
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Penglei Wu
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Zhengdong Han
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Xin Peng
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Jiale Zhan
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Hui Feng
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
| | - Zhaosheng Qian
- Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, Zhejiang Normal University, Jinhua 321004, China.
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Feng H, Cao F, Jin T, Wang L. Forest fragmentation causes an isolated population of the golden takin (Budorcas taxicolor bedfordi Thomas, 1911) (Artiodactyla: Bovidae) in the Qinling Mountains (China). BMC ZOOL 2024; 9:2. [PMID: 38287429 PMCID: PMC10826085 DOI: 10.1186/s40850-024-00192-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 01/15/2024] [Indexed: 01/31/2024] Open
Abstract
Budorcas taxicolor bedfordi is a rare animal uniquely distributed in the Qinling Mountains (China). Human disturbance and habitat fragmentation have directly affected the survival of B. t. bedfordi. It is urgent to clarify the genetic diversity and genetic structure of the B. t. bedfordi population and implement effective conservation measures. In this study, 20 new polymorphic microsatellite loci were isolated by Illumina sequencing. The genetic diversity and population structure of 124 B. t. bedfordi individuals from three populations (Niubeliang population, Zhouzhi population, and Foping population) were analysed according to these 20 microsatellite loci. Our results indicated that B. t. bedfordi had a low level of genetic variability and that there was inbreeding in the three populations. The population genetic structure analyses showed that the Niubeliang population had a trend of differentiation from other populations. National roads can affect population dispersal, while ecological corridors can promote population gene exchange. None of the three B. t. bedfordi populations experienced bottleneck effects. For conservation management plans, the Zhouzhi population and Foping population should be considered one management unit, and the Niubeliang population should be considered another management unit. We suggest building an ecological corridor to keep the habitat connected and formulating tourism management measures to reduce the influence of human disturbance on B. t. bedfordi.
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Affiliation(s)
- Hui Feng
- Shaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, 710032, Xi'an, China.
| | - Fangjun Cao
- Shaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, 710032, Xi'an, China
| | - Tiezhi Jin
- Shaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, 710032, Xi'an, China
| | - Lu Wang
- Shaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, 710032, Xi'an, China
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Du X, Du H, Xiong Z, Ding G, Feng H, Wang S, Liu Q, Jia Z. Transmission characteristics of Gaussian array beams in seawater-to-air propagating incorporating turbulence media and foam layer. Opt Express 2024; 32:3874-3890. [PMID: 38297599 DOI: 10.1364/oe.507409] [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: 10/25/2023] [Accepted: 01/09/2024] [Indexed: 02/02/2024]
Abstract
This paper investigates the propagation of Gaussian array beams (GABs) through seawater-to-air in the presence of oceanic turbulence, atmospheric turbulence, and wave foams. Specifically, we focus on the intensity distribution of diverse typical GAB structures (ring, multi-ring, and rectangle). Then, an innovative intensity analysis model to calculate the average intensity in each medium is proposed. Moreover, we experimentally verify the proposed method by examining the intensity fading characteristic of Gaussian beams in the seawater-to-air path. Our results show that the peak intensity is primarily affected by the refraction in the ocean and foam layer, rather than air layer. The difference of theoretical and experimental values are less than 0.13 for the peak intensity. Moreover, the intensity distributions are more significantly affected by ocean turbulence but less influenced by wind speed.
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Ding G, Du X, Du H, Wang S, Feng H, Xu G, Xiong Z, Jia Z, Li Y. Performance analysis of OSSK-UWOC systems considering pointing errors and channel estimation errors. Opt Express 2024; 32:3606-3618. [PMID: 38297578 DOI: 10.1364/oe.506993] [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: 10/12/2023] [Accepted: 01/05/2024] [Indexed: 02/02/2024]
Abstract
In this paper, we present the bit error rate (BER) performance of the underwater wireless optical communication (UWOC) systems using the optical space shift keying (OSSK) on the gamma-gamma turbulent fading channel, which also considers pointing errors and channel estimation errors. Firstly, we develop the new expressions for the probability density function (PDF) based on the Gamma-Gamma distribution with error factors. Subsequently, we analyze the statistical characteristic of the difference in attenuation coefficients between two channels in the OSSK system, by which we provide analytical results for evaluating the average BER performance. The results show that the effective improvement of spectral efficiency (SE) and BER performance is achieved by rationally allocating the number of lasers and detectors in the system. The OSSK-UWOC system performs better when a narrow beam waist is used. Furthermore, the presence of channel estimation error brings the BER performance advantage to the system, and the system with a high channel estimation error (ρ = 0.7) shows a 4 dB improvement in signal-to-noise ratio (SNR) gain compared to the system with a low channel estimation error (ρ = 0.95). The findings in this paper can be used for the UWOC system design.
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Huang J, Zeng X, Ning H, Peng R, Guo Y, Hu M, Feng H. Development and validation of prediction model for older adults with cognitive frailty. Aging Clin Exp Res 2024; 36:8. [PMID: 38281238 PMCID: PMC10822804 DOI: 10.1007/s40520-023-02647-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/01/2023] [Indexed: 01/30/2024]
Abstract
OBJECTIVE This study sought to develop and validate a 6-year risk prediction model in older adults with cognitive frailty (CF). METHODS In the secondary analysis of Chinese Longitudinal Healthy Longevity Survey (CLHLS), participants from the 2011-2018 cohort were included to develop the prediction model. The CF was assessed by the Chinese version of Mini-Mental State Exam (CMMSE) and the modified Fried criteria. The stepwise regression was used to select predictors, and the logistic regression analysis was conducted to construct the model. The model was externally validated using the temporal validation method via the 2005-2011 cohort. The discrimination was measured by the area under the curve (AUC), and the calibration was measured by the calibration plot. A nomogram was conducted to vividly present the prediction model. RESULTS The development dataset included 2420 participants aged 60 years or above, and 243 participants suffered from CF during a median follow-up period of 6.91 years (interquartile range 5.47-7.10 years). Six predictors, namely, age, sex, residence, body mass index (BMI), exercise, and physical disability, were finally used to develop the model. The model performed well with the AUC of 0.830 and 0.840 in the development and external validation datasets, respectively. CONCLUSION The study could provide a practical tool to identify older adults with a high risk of CF early. Furthermore, targeting modifiable factors could prevent about half of the new-onset CF during a 6-year follow-up.
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Affiliation(s)
- Jundan Huang
- Xiangya School of Nursing, Central South University, Changsha, 410013, Hunan, China
| | - Xianmei Zeng
- Xiangya School of Nursing, Central South University, Changsha, 410013, Hunan, China
| | - Hongting Ning
- Xiangya School of Nursing, Central South University, Changsha, 410013, Hunan, China
| | - Ruotong Peng
- Xiangya School of Nursing, Central South University, Changsha, 410013, Hunan, China
| | - Yongzhen Guo
- Xiangya School of Nursing, Central South University, Changsha, 410013, Hunan, China
| | - Mingyue Hu
- Xiangya School of Nursing, Central South University, Changsha, 410013, Hunan, China.
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha, 410013, Hunan, China.
- Oceanwide Health Management Institute, Central South University, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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Feng H, Zhao M, Mo J, Cao X, Chen W, Wang H. New onset or recurrence of uveitis following COVID-19 infection. BMC Ophthalmol 2024; 24:23. [PMID: 38233844 PMCID: PMC10792851 DOI: 10.1186/s12886-024-03289-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 01/10/2024] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND While the 2019 novel coronavirus disease (COVID-19) pandemic has resulted in millions of cases worldwide, there is increasing recognition of a wide range of ocular manifestations associated with the virus, including uveitis. Uveitis is an inflammatory condition of the uveal tract of the eye that can lead to permanent vision loss if not treated promptly. Here we report a retrospective observational study of patients who presented with new onset or recurrent uveitis following COVID-19 infection. METHODS This is a retrospective observational study conducted at the Beijing Tongren Hospital. We identified patients who presented with symptoms of non-infectious active uveitis with positive real-time reverse transcription polymerase chain reaction (RT-PCR) of COVID-19 within 4 weeks. All patients received ophthalmic examinations, including anterior and posterior segment imaging, to assess the extent of ocular involvement. RESULTS The 18 patients with a total of 33 eyes included in this study presented with symptoms of active uveitis within 4 weeks of their positive COVID-19 RT-PCR test. Among them, 9 patients presented with the development of uveitis following COVID-19 infection, and 9 patients had relapsed uveitis after COVID-19 infection. Treatment with corticosteroids resulted in improvement of symptoms and resolution of inflammation in all cases. In this study, all patients did not experience any adverse drug reactions during treatment. CONCLUSION Our observational study highlights the potential for new onset or recurrence of uveitis following COVID-19 infection. TRIAL REGISTRATION https://www.chictr.org.cn/ ; identifier: ChiCTR2100044365, date: 03/17/2023.
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Affiliation(s)
- Hui Feng
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Meng Zhao
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Jing Mo
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Xusheng Cao
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Weixin Chen
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Hong Wang
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China.
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Xiao K, Cao H, Liu L, Yang B, Dai H, Wang S, Li R, Wen Z, Lu Z, Xiao L, Kang Z, Feng H. Relation Between Calcium-Phosphorus Product and Total Coronary Artery Occlusion in a Nonchronic Kidney Disease Population: A Cross-Sectional Study. Am J Cardiol 2024; 211:239-244. [PMID: 37979640 DOI: 10.1016/j.amjcard.2023.11.042] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/03/2023] [Accepted: 11/11/2023] [Indexed: 11/20/2023]
Abstract
Excessive calcium-phosphorus product (Ca-P product) in patients with chronic kidney disease (CKD) is associated with coronary artery calcification and coronary artery disease, but the relation between Ca-P product and coronary artery disease in non-CKD populations has rarely been reported. Therefore, we designed a cross-sectional study to investigate the role of Ca-P product in total coronary artery occlusion (TCAO) in a non-CKD population. We reviewed 983 patients who underwent coronary angiography at Guangyuan Central Hospital from February 2018 to January 2020. Ca-P product (mg2/dl2) was calculated as Ca (mmol/L) × 4 × P (mmol/L) × 3.1 and was analyzed as a continuous and tertiary variable. TCAO was defined as complete occlusion of any coronary artery by coronary angiography (thrombolysis in myocardial infarction flow grade 0). Statistical analysis was performed using univariate and multivariate logistic regression models and restricted cubic splines. Univariate logistic regression analysis showed a statistically significant association between Ca-P product and TCAO (odds ratio [OR] 0.97, 95% confidence interval [CI] 0.95 to 0.99, p <0.001). After stepwise adjustment for covariates, the risk of TCAO was reduced by 40% in the high versus low Ca-P group (OR 0.6, 95% CI 0.38 to 0.95, p = 0.031), and the risk of TCAO was predicted to decrease by 4% (OR 0.96, 95% CI 0.94 to 0.99, p = 0.006) for each unit increase in Ca-P product. Restricted cubic splines showed a nonlinear relation between Ca-P product and TCAO, with a significant decrease in the risk of TCAO after reaching 27.46 (nonlinear p = 0.047). In conclusion, in non-CKD populations, a higher Ca-P product (≥27.46 mg2/dl2) may help avoid TCAO.
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Affiliation(s)
- Kaiyong Xiao
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Huili Cao
- Department of Cardiology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Liang Liu
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Bin Yang
- Department of Cardiology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Huwei Dai
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Sirong Wang
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ruining Li
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zeyu Wen
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zhaoshan Lu
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lian Xiao
- Department of Cardiology, Guangyuan Central Hospital, Guangyuan, Sichuan, China
| | - Zhou Kang
- Medical Statistics, Guangyuan Central Hospital, Guangyuan, Sichuan, China
| | - Hui Feng
- Medical Laboratory Center, Guangyuan Central Hospital, Guangyuan, Sichuan, China
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Feng H, Zhao M, Mo J, Cao X, Chen W, Wang H. The characteristics of acute macular neuroretinopathy following COVID-19 infection. BMC Ophthalmol 2024; 24:19. [PMID: 38200478 PMCID: PMC10782751 DOI: 10.1186/s12886-024-03283-2] [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: 10/23/2023] [Accepted: 01/05/2024] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND In this study, we report a case series of acute macular neuroretinopathy (AMN) associated with COVID-19 infection. METHODS This retrospective observational study was conducted at Beijing Tongren Hospital. We reviewed patients who were diagnosed with AMN within one month of testing positive for COVID-19 using real-time reverse transcription-polymerase chain reaction (RT-PCR). RESULTS A total of 11 AMN patients (20 eyes) were included in the study. The mean age was 33.8 ± 12.6 years. The average interval between a positive COVID-19 PCR test and the onset of ocular symptoms was 2.8 ± 2.5 days. The mean follow-up period for the patients was 12.5 ± 3.8 weeks. Imaging characteristics of AMN patients following COVID-19 infection included areas of low reflectivity on near-infrared reflectance (NIR) imaging, hyperreflective lesions at the level of the outer plexiform layer (OPL) and outer nuclear layer (ONL) and disruption of the ellipsoid zone (EZ) on spectral domain optical coherence tomography (SD-OCT) B-scans. Visual field examinations revealed parafoveal scotomas that closely corresponded to the clinical lesions. Optical coherence tomography angiography (OCT-A) demonstrated impaired perfusion in the deep retinal vascular plexus. Fluorescein angiography (FA), indocyanine green angiography (ICGA), and spontaneous fundus autofluorescence showed no significant abnormalities. During follow-up, partial improvement in retinal lesions was observed in NIR imaging and SD-OCT in some patients, but a proportion of patients still exhibited persistent retinal damage and no improvement in visual field scotomas. CONCLUSION COVID-19-related AMN share similar clinical and imaging features with AMN due to other causes, as evidenced by the persistent presence of visual field scotomas over a longer duration. TRAIL REGISTRATION https://www.chictr.org.cn/ ; identifier: ChiCTR2100044365.
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Affiliation(s)
- Hui Feng
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Meng Zhao
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Jing Mo
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Xusheng Cao
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Weixin Chen
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China
| | - Hong Wang
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Capital Medical University, 1 Dongjiaominxiang Street, Dongcheng District, Beijing, China.
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Feng H, Han D, Lu W, Tang G, Zhang H, Fan S, Lv A, Jiang J, Zhang Q, Zhang Y, Cao K, Li Z, Li S. Efficacy of Morning Versus Evening Latanoprost/Timolol Fixed Combination for Open-Angle Glaucoma and Ocular Hypertension: A Randomized Clinical Trial. Transl Vis Sci Technol 2024; 13:21. [PMID: 38285464 PMCID: PMC10829799 DOI: 10.1167/tvst.13.1.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 12/26/2023] [Indexed: 01/30/2024] Open
Abstract
Purpose To compare the efficacy of morning and evening latanoprost/timolol fixed-combination (LTFC) dosing in patients with primary open-angle glaucoma (POAG) and ocular hypertension. Methods In this double-blind, randomized clinical trial, 63 untreated Chinese patients with POAG and ocular hypertension were enrolled. All patients received LTFC and were randomized (1:1) to group 1, morning (8 AM) dosing, or group 2, evening (8 PM) dosing. Vehicle drops were used in the morning or evening, accordingly, to preserve masking. Patients were treated for 4 weeks. Outcomes included mean reduction of the 24-hour intraocular pressure (IOP) and IOP fluctuation from baseline after a 4-week treatment. Results Fifty-six patients were included in the final analysis. In both groups, the posttreatment IOP values were significantly lower than those at baseline at each 24-hour measuring time point. A significant difference between the groups in IOP reduction from baseline was observed at the 9:30 AM time point (4.01 ± 2.62 vs. 2.42 ± 3.23 mm Hg, evening dosing versus morning dosing group; P = 0.048). Both groups showed decreased IOP fluctuation after treatment. However, the morning dosing group had a significantly greater decrease in diurnal IOP fluctuation than that of the evening dosing group (2.04 ± 2.32 mm Hg vs. 0.50 ± 1.70 mm Hg, respectively; P = 0.012). Conclusions Both morning and evening LTFC dosing can effectively reduce 24-hour IOP and IOP fluctuation. Morning dosing is more likely to effectively control diurnal IOP fluctuations. Translational Relevance This multicenter, double-blind, randomized clinical trial generates robust evidence on the optimal LTFC dosing regimen to help clinical decision-making in the treatment of raised IOP.
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Affiliation(s)
- Hui Feng
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Science Key Lab, Capital Medical University, Beijing, China
| | - Dong Han
- Department of Glaucoma, Hebei Eye Hospital, Xingtai, Hebei, China
| | - Wensheng Lu
- Department of Glaucoma, Hebei Eye Hospital, Xingtai, Hebei, China
| | - Guangxian Tang
- Department of ophthalmology, 1st Hospital of Shijiazhuang, Shijiazhuang, China
| | - Hengli Zhang
- Department of ophthalmology, 1st Hospital of Shijiazhuang, Shijiazhuang, China
| | - Sujie Fan
- Department of Ophthalmology, Handan 3rd Hospital, Handan, Hebei, China
| | - Aiguo Lv
- Department of Ophthalmology, Handan 3rd Hospital, Handan, Hebei, China
| | - Jing Jiang
- Department of Glaucoma, Fushun Eye Hospital, Fushun, China
| | - Qing Zhang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Science Key Lab, Capital Medical University, Beijing, China
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ye Zhang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Science Key Lab, Capital Medical University, Beijing, China
| | - Kai Cao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Science Key Lab, Capital Medical University, Beijing, China
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Zhi Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Science Key Lab, Capital Medical University, Beijing, China
| | - Shuning Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Science Key Lab, Capital Medical University, Beijing, China
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