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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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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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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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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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Ma SR, Feng H, Zhao GF, Bai HJ, Zhao L, Zhao ZR. [Nomogram prediction model of cervical anastomotic leakage after esophageal cancer surgery]. Zhonghua Zhong Liu Za Zhi 2023; 45:1065-1076. [PMID: 38110315 DOI: 10.3760/cma.j.cn112152-20201127-01026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Objective: To retrospectively analyze the risk factors of anastomotic leakage in the neck after esophageal cancer and establish a nomogram prediction model that can accurately predict the occurrence of anastomotic leakage in the neck of the patient. Methods: The study retrospectively analyzed 702 patients who underwent radical esophageal cancer surgery between January 2010 and May 2015 at Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. A multivariate logistic regression model was used to determine the risk factors for neck anastomotic leak, and a nomogram model was constructed, internal validation methods were used to evaluate and verify the predictive effectiveness of the nomogram. Results: There were 702 patients in the whole group, 492 in the training group and 210 in the validation group. The incidence of postoperative cervical anastomotic leak was 16.1% (79/492) in 492 patients with esophageal cancer in the training group. Multifactorial analysis revealed calcification of the descending aorta (OR=2.12, 95% CI: 1.14, 3.94, P=0.018), calcification of the celiac artery (OR=2.29, 95% CI: 1.13, 4.64, P=0.022), peripheral vascular disease (OR=5.50, 95% CI: 1.64, 18.40, P=0.006), postoperative ventilator-assisted breathing (OR=5.33, 95% CI: 1.83, 15.56, P=0.002), pleural effusion or septic chest (OR=3.08, 95% CI: 1.11, 8.55, P=0.031), incisional fat liquefaction and infection (OR=3.49, 95% CI: 1.68, 7.27, P=0.001) were independent risk factors for the development of cervical anastomotic leak after esophageal cancer surgery. The results of the nomogram prediction model showed that the consistency indices of the training and external validation groups were 0.73 and 0.74, respectively (P<0.001), suggesting that the prediction model has good predictive efficacy. Conclusion: The nomogram prediction model can intuitively predict the incidence of postoperative cervical anastomotic leakage in patients with high prediction accuracy, which can help provide a clinical basis for preventing cervical anastomotic leak and individualized treatment of patients.
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Affiliation(s)
- S R Ma
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - H Feng
- Administration Office of Science and Technology Projects, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - G F Zhao
- Department of Thoracic Surgery, Zhongshan Hospital of Fudan University, Shanghai 200433, China
| | - H J Bai
- Administration Office of Science and Technology Projects, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - L Zhao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
| | - Z R Zhao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China
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Feng H, Yu QS, Wang JX, Yuan YY, Rao WL, Liang X, Yu SS, Wei FS. [Establishment and validation of nomogram prediction model for complicated acute appendicitis]. Zhonghua Wai Ke Za Zhi 2023; 61:1074-1079. [PMID: 37932143 DOI: 10.3760/cma.j.cn112139-20230104-00005] [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: 11/08/2023]
Abstract
Objective: To establish and internally validate a nomogram model for predicting complicated acute appendicitis (CA). Methods: The clinical data from 663 acute appendicitis patients from the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from October 2015 to October 2022 were retrospectively analyzed. There were 411 males and 252 females, aged (M (IQR)) 41 (22) years (range: 18 to 84 years). There were 516 cases of CA and 147 cases of uncomplicated acute appendicitis. The minimum absolute contraction and selection operator regression model was used to screen the potential relative factors of CA, and the screened factors were included in the Logistic regression model for multivariate analysis. Software R was used to establish a preoperative CA nomogram prediction model, the receiver operating characteristic curve of the model was drawn, and the value of area under the curve (AUC) was compared to evaluate its identification ability, and the Bootstrap method was used for internal verification. Results: The elderly (age≥60 years) (OR=2.428, 95%CI: 1.295 to 4.549), abdominal pain time (every rise of 1 hour) (OR=1.089, 95%CI: 1.072 to 1.107), high fever (body temperature≥39 ℃) (OR=1.122, 95%CI: 1.078 to 1.168), total bilirubin (every rise of 1 μmol/L) (OR=2.629, 95%CI: 1.227 to 5.635) were independent relative factors of CA (all P<0.05). The AUC of this model was 0.935 (95%CI: 0.915 to 0.956). After internal verification using the Bootstrap method, the model still had a high discrimination ability (AUC=0.933), and the predicted CA curve was still in good agreement with the actual clinical CA curve. Conclusion: The clinical prediction model based on the elderly (age≥60 years), prolonged abdominal pain time, high fever (body temperature≥39 ℃), and increased total bilirubin can help clinicians effectively identify CA.
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Affiliation(s)
- H Feng
- Depertment of Emergency Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
| | - Q S Yu
- Depertment of General Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
| | - J X Wang
- Depertment of Emergency Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
| | - Y Y Yuan
- Depertment of Emergency Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
| | - W L Rao
- Depertment of Emergency Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
| | - X Liang
- Depertment of Emergency Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
| | - S S Yu
- Depertment of Emergency Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
| | - F S Wei
- Depertment of Emergency Surgery, the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Institute of Surgery, Anhui Academy of Traditional Chinese Medicine, Hefei 230031, China
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Li T, Rui Z, Mao L, Chang Y, Shao J, Chen Y, Han Q, Sui X, An N, Li H, Feng H, Jiang T, Wang Q. Eight Weeks of Bifidobacterium lactis BL-99 Supplementation Improves Lipid Metabolism and Sports Performance through Short-Chain Fatty Acids in Cross-Country Skiers: A Preliminary Study. Nutrients 2023; 15:4554. [PMID: 37960207 PMCID: PMC10648242 DOI: 10.3390/nu15214554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
(1) Background: Probiotics in the form of nutritional supplements are safe and potentially useful for strategic application among endurance athletes. Bifidobacterium animalis lactis BL-99 (BL-99) was isolated from the intestines of healthy Chinese infants. We combined plasma-targeted metabolomics and fecal metagenomics to explore the effect of 8 weeks of BL-99 supplementation on cross-country skiers' metabolism and sports performance. (2) Methods: Sixteen national top-level male cross-country skiers were recruited and randomly divided into a placebo group (C) and a BL-99 group (E). The participants took the supplements four times/day (with each of three meals and at 21:00) consistently for 8 weeks. The experiment was conducted in a single-blind randomized fashion. The subject's dietary intake and total daily energy consumption were recorded. Blood and stool samples were collected before and after the 8-week intervention, and body composition, muscle strength, blood biochemical parameters, plasma-targeted metabolomic data, and fecal metagenomic data were then analyzed. (3) Results: The following changes occurred after 8 weeks of BL-99 supplementation: (a) There was no significant difference in the average total daily energy consumption and body composition between the C and E groups. (b) The VO2max and 60°/s and 180°/s knee joint extensor strength significantly increased in both the C and E groups. By the eighth week, the VO2max and 60 s knee-joint extensor strength were significantly higher in the E group than in the C group. (c) The triglyceride levels significantly decreased in both the C and E groups. In addition, the LDL-C levels significantly decreased in the E group. (d) The abundance of Bifidobacterium animalis increased two-fold in the C group and forty-fold in the E group. (e) Plasma-targeted metabolomic analysis showed that, after eight weeks of BL-99 supplementation, the increases in DHA, adrenic acid, linoleic acid, and acetic acid and decreases in glycocholic acid and glycodeoxycholic acid in the E group were significantly higher than those in the C group. (f) Spearman correlation analysis showed that there was a significant positive correlation between Bifidobacterium animalis' abundance and SCFAs, PUFAs, and bile acids. (g) There was a significant correlation between the most significantly regulated metabolites and indicators related to sports performance and lipid metabolism. (4) Conclusions: Eight weeks of BL-99 supplementation combined with training may help to improve lipid metabolism and sports performance by increasing the abundance of Bifidobacterium, which can promote the generation of short-chain fatty acids and unsaturated fatty acids, and inhibit the synthesis of bile acids.
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Affiliation(s)
- Tieying Li
- Sports Nutrition Center, National Institute of Sports Medicine, Beijing 100029, China
- Key Lab of Sports Nutrition, State General Administration of Sport of China, Beijing 100029, China
- National Testing & Research Center for Sports Nutrition, Ministry of Science and Technology of the People’s Republic of China, Beijing 100029, China
| | - Zihan Rui
- College of Exercise Science, Beijing Sport University, Beijing 100084, China
| | - Letian Mao
- College of Exercise & Health Science, Xi’an Physical Education University, Xi’an 710068, China
| | - Yashan Chang
- Sports Nutrition Center, National Institute of Sports Medicine, Beijing 100029, China
- Key Lab of Sports Nutrition, State General Administration of Sport of China, Beijing 100029, China
- National Testing & Research Center for Sports Nutrition, Ministry of Science and Technology of the People’s Republic of China, Beijing 100029, China
| | - Jing Shao
- Sports Nutrition Center, National Institute of Sports Medicine, Beijing 100029, China
- Key Lab of Sports Nutrition, State General Administration of Sport of China, Beijing 100029, China
- National Testing & Research Center for Sports Nutrition, Ministry of Science and Technology of the People’s Republic of China, Beijing 100029, China
| | - Yue Chen
- Sports Nutrition Center, National Institute of Sports Medicine, Beijing 100029, China
- Key Lab of Sports Nutrition, State General Administration of Sport of China, Beijing 100029, China
- National Testing & Research Center for Sports Nutrition, Ministry of Science and Technology of the People’s Republic of China, Beijing 100029, China
| | - Qi Han
- Sports Nutrition Center, National Institute of Sports Medicine, Beijing 100029, China
- Key Lab of Sports Nutrition, State General Administration of Sport of China, Beijing 100029, China
- National Testing & Research Center for Sports Nutrition, Ministry of Science and Technology of the People’s Republic of China, Beijing 100029, China
| | - Xuemei Sui
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Nan An
- Sports Nutrition Center, National Institute of Sports Medicine, Beijing 100029, China
- Key Lab of Sports Nutrition, State General Administration of Sport of China, Beijing 100029, China
- National Testing & Research Center for Sports Nutrition, Ministry of Science and Technology of the People’s Republic of China, Beijing 100029, China
| | - Haoqiu Li
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, China
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot 010110, China
| | - Haotian Feng
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, China
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot 010110, China
| | - Tao Jiang
- College of Exercise & Health Science, Xi’an Physical Education University, Xi’an 710068, China
| | - Qirong Wang
- Sports Nutrition Center, National Institute of Sports Medicine, Beijing 100029, China
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Li Q, Jia X, Zhong Q, Zhong Z, Wang Y, Tang C, Zhao B, Feng H, Hao J, Zhao Z, He J, Zhang Y. Combination of Walnut Peptide and Casein Peptide alleviates anxiety and improves memory in anxiety mices. Front Nutr 2023; 10:1273531. [PMID: 37867495 PMCID: PMC10588484 DOI: 10.3389/fnut.2023.1273531] [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: 08/06/2023] [Accepted: 09/22/2023] [Indexed: 10/24/2023] Open
Abstract
Introduction Anxiety disorders continue to prevail as the most prevalent cluster of mental disorders following the COVID-19 pandemic, exhibiting substantial detrimental effects on individuals' overall well-being and functioning. Even after a search spanning over a decade for novel anxiolytic compounds, none have been approved, resulting in the current anxiolytic medications being effective only for a specific subset of patients. Consequently, researchers are investigating everyday nutrients as potential alternatives to conventional medicines. Our prior study analyzed the antianxiety and memory-enhancing properties of the combination of Walnut Peptide (WP) and Casein Peptide (CP) in zebrafish. Methods and Results Based on this work, our current research further validates their effects in mice models exhibiting elevated anxiety levels through a combination of gavage oral administration. Our results demonstrated that at 170 + 300 mg human dose, the WP + CP combination significantly improved performances in relevant behavioral assessments related to anxiety and memory. Furthermore, our analysis revealed that the combination restores neurotransmitter dysfunction observed while monitoring Serotonin, gamma-aminobutyric acid (GABA), dopamine (DA), and acetylcholine (ACh) levels. This supplementation also elevated the expression of brain-derived neurotrophic factor mRNA, indicating protective effects against the neurological stresses of anxiety. Additionally, there were strong correlations among behavioral indicators, BDNF (brain-derived neurotrophic factor), and numerous neurotransmitters. Conclusion Hence, our findings propose that the WP + CP combination holds promise as a treatment for anxiety disorder. Besides, supplementary applications are feasible when produced as powdered dietary supplements or added to common foods like powder, yogurt, or milk.
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Affiliation(s)
- Qinxi Li
- Laboratory of Nonhuman Primate Disease Modeling Research, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China
| | - Xiuzhen Jia
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Qixing Zhong
- Laboratory of Nonhuman Primate Disease Modeling Research, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China
| | - Zhihui Zhong
- Laboratory of Nonhuman Primate Disease Modeling Research, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Wang
- Laboratory of Nonhuman Primate Disease Modeling Research, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Cheng Tang
- Laboratory of Nonhuman Primate Disease Modeling Research, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Bangcheng Zhao
- Laboratory of Nonhuman Primate Disease Modeling Research, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China
| | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jian He
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yingqian Zhang
- Laboratory of Nonhuman Primate Disease Modeling Research, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China
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Peng J, Zhang L, Wang L, Feng H, Yao D, Meng R, Liu X, Li X, Liu N, Tan B, Huang Z, Li S, Meng X. PD-L1 Inhibitors Combined with Thoracic Radiotherapy in First-Line Treatment of Extensive Stage Small Cell Lung Cancer: A Propensity Score-Matched, Real-World Study. Int J Radiat Oncol Biol Phys 2023; 117:S127-S128. [PMID: 37784327 DOI: 10.1016/j.ijrobp.2023.06.472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The CREST study showed that the addition of thoracic radiotherapy (TRT) could improve the survival of extensive stage small cell lung cancer (ES-SCLC), but whether TRT can bring survival benefit in the era of immunotherapy is controversial. This study aims to explore the efficacy and safety of adding TRT to the combination of PD-L1 inhibitors and chemotherapy. MATERIALS/METHODS Thepatients who received PD-L1 inhibitors combined with platinum-based chemotherapy as the first-line treatment of ES-SCLC from January 2019 to December 2021 were retrospectively collected. According to whether they received TRT, they were divided into two groups, and the follow-up analysis was performed. Propensity score matching (PSM) in with a 1:1 ratio was performed to balance the baseline characteristics of the two cohorts. The endpoints were progression-free survival (PFS) and OS. RESULTS A total of 211 patients with ES-SCLC were enrolled, of whom 70 (33.2%) patients received standard therapy plus TRT as first-line treatment, and 141 (66.8%) patients in the control group received PD-L1 inhibitors plus chemotherapy. After PSM, a total of 65 pairs of patients were enrolled in the analysis. There were no significant differences in baseline characteristics between the two groups of patients who received TRT and those who did not. In all patients, the median PFS (mPFS) in the TRT group and the non-TRT groupwere 9.5 months and 7.2 months, respectively, with HR = 0.60 (95% CI 0.41-0.87, p = 0.007). The median OS (mOS) in the TRT group was also significantly longer than that in the non-TRT group (24.1 months vs. 18.5 months, HR = 0.53, 95% CI 0.32-0.85, p = 0.009). Multivariable analysis showed that baseline liver metastasis and bone metastasis were independent prognostic factors for OS. In terms of safety, immunotherapy combined with thoracic radiotherapy increased the incidence of treatment-related pneumonia (p<0.001), most of which were grade 1-2. CONCLUSION This real-world study shows that adding TRT to durvalumab or atezolizumab plus chemotherapy significantly improves survival in ES-SCLC. It leads to more treatment-related pneumonia, but most of them can be relieved after symptomatic treatment. This treatment model deserves to be explored in prospective clinical trials.
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Affiliation(s)
- J Peng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - L Zhang
- Department of Thoracic Department, Hunan Cancer Hospital, Changsha, China
| | - L Wang
- Department of Medical Oncology, Baotou Cancer Hospital, Baotou, China
| | - H Feng
- Department of Clinical Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - D Yao
- Department of Medical Oncology, Chaoyang Second Hospital, Chaoyang, China
| | - R Meng
- Department of Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Liu
- Department of Oncology Department, Jinzhou Medical University, Jinzhou, China, Jinzhou, China
| | - X Li
- Department of Respiratory and Critical Care, Chifeng Municipal Hospital, Chifeng, China
| | - N Liu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin, China
| | - B Tan
- QILU HOSPITAL OF SHANDONG UNIVERSITY, Jinan, China
| | - Z Huang
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - S Li
- Department of Oncology, Zibo Municipal Hospital, Zibo, China
| | - X Meng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
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Feng H, Fang X, Chen N, Song Y, Liang M, Wu G, Zhang X. Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces. Sensors (Basel) 2023; 23:7956. [PMID: 37766011 PMCID: PMC10534460 DOI: 10.3390/s23187956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 09/13/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023]
Abstract
The foundation of intelligent collaborative control of a shearer, scraper conveyor, and hydraulic support (three-machines) is to achieve the precise perception of the status of the three-machines and the full integration of information between the equipment. In order to solve the problems of information isolation and non-flow, independence between equipment, and weak cooperation of three-machines due to an insufficient fusion of perception data, a fusion method of the equipment's state perception system on the intelligent working surface was proposed. Firstly, an intelligent perception system for the state of the three-machines in the working face was established based on fiber optic sensing technology and inertial navigation technology. Then, the datum coordinate system is created on the working surface to uniformly describe the status of the three-machines and the spatial position relationship between the three-machines is established using a scraper conveyor as a bridge so that the three-machines become a mutually restricted and collaborative equipment system. Finally, an indoor test was carried out to verify the relational model of the spatial position of the three-machines. The results indicate that the intelligent working face three-machines perception system based on fiber optic sensing technology and inertial navigation technology can achieve the fusion of monitoring data and unified expression of equipment status. The research results provide an important reference for building an intelligent perception, intelligent decision-making, and automatic execution system for coal mines.
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Affiliation(s)
- Haotian Feng
- School of Mines, China University of Mining and Technology, Xuzhou 221116, China
- Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
| | - Xinqiu Fang
- School of Mines, China University of Mining and Technology, Xuzhou 221116, China
- Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
| | - Ningning Chen
- School of Mines, China University of Mining and Technology, Xuzhou 221116, China
- Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
| | - Yang Song
- School of Mines, China University of Mining and Technology, Xuzhou 221116, China
- Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
| | - Minfu Liang
- School of Mines, China University of Mining and Technology, Xuzhou 221116, China
- Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
| | - Gang Wu
- School of Mines, China University of Mining and Technology, Xuzhou 221116, China
- Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
| | - Xinyuan Zhang
- The 707th Research Institute of China State Shipbuilding Corporation Limited, Tianjin 300131, China
- Tianjin Navigation Instruments Research Institute, Tianjin 300131, China
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12
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Xu Y, Jia X, Zhang W, Xie Q, Zhu M, Zhao Z, Hao J, Li H, Du J, Liu Y, Feng H, He J, Li H. The effects of Ascophyllum nodosum, Camellia sinensis-leaf extract, and their joint interventions on glycolipid and energy metabolism in obese mice. Front Nutr 2023; 10:1242157. [PMID: 37693249 PMCID: PMC10483828 DOI: 10.3389/fnut.2023.1242157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 07/31/2023] [Indexed: 09/12/2023] Open
Abstract
Objectives Obesity is often associated with glucolipid and/or energy metabolism disorders. Ascophyllum nodosum extract (seaweed extract, SE) and Camellia sinensis-leaf extract (tea extract, TE) have been reported to promote positive metabolic effects through different mechanisms. We investigated the effects of SE and TE on metabolic homeostasis in diet-induced obese mice and discussed their functional characteristics. Methods Male C57BL/6J mice fed with high-fat diets for 8 weeks were established as obese models and subsequently divided into different intervention groups, followed by SE, TE, and their joint interventions for 10 weeks. Body weight and food intake were monitored. Fasting glucose and oral glucose tolerance tests were interspersed during the experiment. After the intervention, the effects on obesity control were assessed based on body composition, liver pathology section, blood lipids and glucose, respiratory exchange ratio (RER), energy expenditure (EE1, EE2, and EE3), inflammatory factors, lipid anabolism enzymes, and gut flora of the obese mice. Results After continuous gavage intervention, the mice in the intervention groups exhibited lower body weight (lower ~4.93 g, vs. HFD 38.02 g), peri-testicular fat masses (lower ~0.61 g, vs. HFD 1.92 g), and perirenal fat masses (lower ~0.21 g, vs. HFD mice 0.70 g). All interventions prevented diet-induced increases in plasma levels of glucose, adiponectin, leptin, and the inflammatory factors IL-1β and TNF-α. The RER was modified by the interventions, while the rhythm of the RER was not. Blood lipids (total cholesterol, triglycerides, and LDL) decreased and were associated with lower lipid anabolism enzymes. In addition, the SE and TE interventions altered the structure and abundance of specific flora. Different interventions inhibited the growth of different genera positively associated with obesity (Escherichia-Shigella, Helicobacter, etc.) and promoted the growth of Akkermansia and Bacteroides, thus affecting the chronic inflammatory state. Conclusion SE and TE both have synergistic effects on weight control and glucolipid metabolism regulation by improving insulin sensitivity and reducing lipid synthesis-related enzyme expression, whereas the combination of SE and TE (3:1) has a better effect on regulating energy metabolism and inhibiting chronic inflammation.
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Affiliation(s)
- Yuhan Xu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
- School of Public Health, Xiamen University, Xiamen, China
| | - Xiuzhen Jia
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Wei Zhang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
- School of Public Health, Xiamen University, Xiamen, China
| | - Qiaoling Xie
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
- School of Public Health, Xiamen University, Xiamen, China
| | - Meizhen Zhu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
- School of Public Health, Xiamen University, Xiamen, China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haoqiu Li
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jinrui Du
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yan Liu
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jian He
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Hongwei Li
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, China
- School of Public Health, Xiamen University, Xiamen, China
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Miao Z, Zheng H, Liu WH, Cheng R, Lan H, Sun T, Zhao W, Li J, Shen X, Li H, Feng H, Hung WL, He F. Lacticaseibacillus paracasei K56 Attenuates High-Fat Diet-Induced Obesity by Modulating the Gut Microbiota in Mice. Probiotics Antimicrob Proteins 2023; 15:844-855. [PMID: 35067837 DOI: 10.1007/s12602-022-09911-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [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] [Accepted: 01/11/2022] [Indexed: 10/19/2022]
Abstract
This study investigated the effects of Lacticaseibacillus paracasei K56 (L. paracasei K56) on body weight, body composition, and glycolipid metabolism in mice with high-fat diet-induced obesity and explored the underlying mechanisms. Male C57BL/6J mice were fed a high-fat diet for 8 weeks to induce obesity; then, the obese mice were gavaged with or without L. paracasei K56 for 10 weeks. The body weight, body composition, fat mass, blood lipid, blood glucose, and hormones of the mice were evaluated. Moreover, the fatty acid synthesis (FAS) and peroxisome proliferator-activated receptor γ (PPAR-γ) expressions in the liver were detected via Western blotting. 16S rRNA gene sequencing was adopted to determine the gut microbiota alterations. The high-fat diet successfully induced obesity, as indicated by the abnormal increase in body weight, visceral fat, fat mass, blood lipids, fasting blood glucose, and insulin-resistance. Moreover, the FAS expression in the liver was significantly increased, whereas the PPAR-γ expression was significantly decreased. The relative abundance of Proteobacteria, Actinobacteria and Patescibacteria was also significantly increased, and that of Verrucomicrobia was significantly decreased. However, these indicators of mice supplemented with L. paracasei K56 were significantly opposite to those of obese mice. The Ruminococcuaceae_UCG-013, Akkermansia, Prevotellaceae_UCG-001, Muribaculum, and Lachnospiraceae_NK4A136 groups were significantly negatively correlated with body weight, blood lipids, and blood glucose-related indicators, whereas Coriobacteriaceae_UCG-002, Enterorhabdus, Raoultibacter, Acinetobacter, Romboutsia, Leuconostoc, and Erysipelatoclostridium were significantly positively correlated with these indicators. L. paracasei K56 might be a promising probiotic strain that could effectively slow down the body weight gain, reduce fat accumulation, alleviate insulin-resistance, and restore pancreatic β-cell function in obese mice by regulating the gut microbiota.
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Affiliation(s)
- Zhonghua Miao
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, 3rd section, South Renmin Road, Wuhou District, Chengdu, 610041, Sichuan, People's Republic of China
| | - Hanying Zheng
- School of Public Health, Xiamen University, Xiamen, China
| | - Wei-Hsien Liu
- Inner Mongolia Yili Industrial Group Co., Ltd, Hohhot, 010110, China
| | - Ruyue Cheng
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, 3rd section, South Renmin Road, Wuhou District, Chengdu, 610041, Sichuan, People's Republic of China
| | - Hui Lan
- School of Public Health, Xiamen University, Xiamen, China
| | - Ting Sun
- Inner Mongolia Yili Industrial Group Co., Ltd, Hohhot, 010110, China
| | - Wen Zhao
- Inner Mongolia Yili Industrial Group Co., Ltd, Hohhot, 010110, China
| | - Jinxing Li
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, 3rd section, South Renmin Road, Wuhou District, Chengdu, 610041, Sichuan, People's Republic of China
| | - Xi Shen
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, 3rd section, South Renmin Road, Wuhou District, Chengdu, 610041, Sichuan, People's Republic of China
| | - Hongwei Li
- School of Public Health, Xiamen University, Xiamen, China
| | - Haotian Feng
- Inner Mongolia Yili Industrial Group Co., Ltd, Hohhot, 010110, China
| | - Wei-Lian Hung
- Inner Mongolia Yili Industrial Group Co., Ltd, Hohhot, 010110, China.
| | - Fang He
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, 3rd section, South Renmin Road, Wuhou District, Chengdu, 610041, Sichuan, People's Republic of China.
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Feng H, Liu H, Wang Q, Song M, Yang T, Zheng L, Wu D, Shao X, Shi G. Breast cancer diagnosis and prognosis using a high b-value non-Gaussian continuous-time random-walk model. Clin Radiol 2023:S0009-9260(23)00227-1. [PMID: 37344324 DOI: 10.1016/j.crad.2023.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 05/11/2023] [Accepted: 05/19/2023] [Indexed: 06/23/2023]
Abstract
AIM To compare the diagnostic performance of mono-exponential model-derived apparent diffusion coefficient (ADC), continuous-time random-walk (CTRW) model-derived Dm, α, β and their combinations in discriminating malignancy of breast lesions, and investigate the association between model-derived parameters and prognosis-related immunohistochemical indices. MATERIALS AND METHODS A total of 85 patients with breast lesions (51 malignant, 34 benign) were analysed in this retrospective study. Clinical characteristics include oestrogen receptor (ER), progesterone receptor (PR), human epidermal receptor 2 (HER2), and Ki-67. The ADC was fitted using a mono-exponential model (b-values = 0, 800 s/mm2), while Dm, α, and β were fitted using a CTRW model. Independent Student's t-test and the Mann-Whitney U-test were used for the comparison of parameters. Discrimination performance was accomplished by receiver operating characteristic (ROC) analysis, and Spearman's correlation analysis was used to explore the association between immunohistochemical indices and diffusion parameters, the statistical significance level was p<0.05. RESULTS Dm and ADC demonstrated similar performance in differentiating malignant and benign lesions (AUC = 0.928 versus 0.930), while the combination of Dm, α, and β could improve the AUC to 0.969. The combined parameter generated by ADC, Dm, α, and β was effective in identifying the ER+/ER- and PR+/PR- patients. Temporal heterogeneity parameter α correlated significantly with the expression of PR. CONCLUSION Diffusion parameters derived from the CTRW model could effectively discriminate the malignancy of breast lesions. Meanwhile, the hormone receptor expression could be distinguished by combined diffusion parameters, and have the potential to reflect the prognosis.
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Affiliation(s)
- H Feng
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - H Liu
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Q Wang
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - M Song
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - T Yang
- Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - L Zheng
- Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - D Wu
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China
| | - X Shao
- Department of Anesthesiology, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China
| | - G Shi
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
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Li C, Lai X, Yu X, Xiong Z, Chen J, Lang X, Feng H, Wan X, Liu K. Plant long noncoding RNAs: Recent progress in understanding their roles in growth, development, and stress responses. Biochem Biophys Res Commun 2023; 671:270-277. [PMID: 37311264 DOI: 10.1016/j.bbrc.2023.05.103] [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: 05/15/2023] [Accepted: 05/25/2023] [Indexed: 06/15/2023]
Abstract
Long noncoding RNA (lncRNA) transcripts are longer than 200 nt and are not translated into proteins. LncRNAs function in a wide variety of processes in plants and animals, but, perhaps because of their lower expression and conservation levels, plant lncRNAs had attracted less attention than protein-coding mRNAs. Now, recent studies have made remarkable progress in identifying lncRNAs and understanding their functions. In this review, we discuss a number of lncRNAs that have important functions in growth, development, reproduction, responses to abiotic stresses, and regulation of disease and insect resistance in plants. Additionally, we describe the known mechanisms of action of plant lncRNAs according to their origins within the genome. This review thus provides a guide for identifying and functionally characterizing new lncRNAs in plants.
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Affiliation(s)
- Chunmei Li
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; Guangzhou Key Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Xiaofeng Lai
- Guangzhou Key Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Xuanyue Yu
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Zhiwen Xiong
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Jie Chen
- Guangzhou Key Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Xingxuan Lang
- Guangzhou Key Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Haotian Feng
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Xiaorong Wan
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; Guangzhou Key Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
| | - Kai Liu
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China; College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
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Li J, Zhang J, Yu W, Gao H, Szeto IMY, Feng H, Liu X, Wang Y, Sun L. Soluble dietary fibres decrease α-glucosidase inhibition of epigallocatechin gallate through affecting polyphenol-enzyme binding interactions. Food Chem 2023; 409:135327. [PMID: 36586254 DOI: 10.1016/j.foodchem.2022.135327] [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: 07/19/2022] [Revised: 12/05/2022] [Accepted: 12/24/2022] [Indexed: 12/28/2022]
Abstract
The effects of soluble dietary fibres (SDFs) on α-glucosidase inhibition of EGCG were studied. Three arabinoxylans and polygalacturonic acid (PGA) significantly decreased inhibitory activity of EGCG against α-glucosidase, while two β-glucans hardly affected the inhibition. Although arabinoxylans and PGA weakened the competitive inhibition character of EGCG, they maintained the fluorescence quenching effect of EGCG. Then, arabinoxylans and PGA significantly decreased the particle size and turbidity of EGCG-enzyme complex. These results suggest that there formed SDFs-EGCG-enzyme ternary complexes. The stronger decreasing-effects of arabinoxylans and PGA on α-glucosidase inhibition of EGCG than β-glucans resulted from the stronger non-covalent interactions of arabinoxylans and PGA with EGCG. This is considered to arise from the short-branches of arabinoxylans that provided more opportunity for capturing EGCG, and from the strong polarity of PGA carboxyl that promoted hydrogen bondings with EGCG. Conclusively, SDFs should be considered as an impact factor when evaluating α-glucosidase inhibition of dietary polyphenols.
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Affiliation(s)
- Jing Li
- College of Food Science and Engineering, Northwest A & F University, China
| | - Jifan Zhang
- College of Food Science and Engineering, Northwest A & F University, China
| | - Wanyi Yu
- College of Food Science and Engineering, Northwest A & F University, China
| | - Hang Gao
- College of Food Science and Engineering, Northwest A & F University, China
| | | | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co., Ltd, China
| | - Xuebo Liu
- College of Food Science and Engineering, Northwest A & F University, China
| | - Yutang Wang
- College of Food Science and Engineering, Northwest A & F University, China
| | - Lijun Sun
- College of Food Science and Engineering, Northwest A & F University, China.
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Li X, Feng H, Xing Y, Chang Q, Zhang J. Capillary suction under unsaturated condition drives strong specific affinity of ions at the surface of clay mineral. J Colloid Interface Sci 2023; 644:73-80. [PMID: 37094474 DOI: 10.1016/j.jcis.2023.04.065] [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: 02/02/2023] [Revised: 04/05/2023] [Accepted: 04/16/2023] [Indexed: 04/26/2023]
Abstract
Mineral-solution interface is of great importance in many soil and geochemical processes as well as industrial applications. Most relevant studies were based on saturated condition and given the corresponding theory, model, and mechanism. However, soils are usually in the non-saturation with different capillary suction. Our study presents substantially different scenery for ions interacting with mineral surface under unsaturated condition using molecular dynamics method. Under partially hydrated state, both cations (Ca2+) and anions (Cl-) can be adsorbed as outer-sphere complexes at the montmorillonite surface, and the number significantly increased with the increase of unsaturated degree. Ions preferred to interact with clay mineral instead of water molecules under unsaturated state, and the mobility of both cations and anions substantially decreased with the increase of capillary suction as reflected by the diffusion coefficient analysis. Potential of mean force calculations further clearly revealed that the adsorption strength of both Ca2+ and Cl- increased with capillary suction. Such an increase was more obvious for Cl- compared to Ca2+, despite the adsorption strength of Cl- was much weaker than Ca2+ at a certain capillary suction. Therefore, it is the capillary suction under unsaturated condition that drives the strong specific affinity of ions at the surface of clay mineral, which was tightly related to the steric effect of confined water film, the destruction of EDL structure, and the cation-anion pair interaction. This suggests that our common understanding of mineral-solution interaction should be largely improved.
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Affiliation(s)
- Xiong Li
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China; Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Haotian Feng
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China; Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Yuhang Xing
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China; Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Qing Chang
- Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Jianguo Zhang
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China; Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China.
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Peng J, Meng R, Liu X, Zhang L, Wang L, Feng R, Feng H, Huang Z, Yao D, Li X, Liu N, Tan B, Li S, Yu J, Meng X. 172P A Chinese multicenter, real-world study of PD-L1 inhibitors in extensive stage small cell lung cancer. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00426-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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Kadeer G, Fu W, He Y, Feng Y, Liu WH, Hung WL, Feng H, Zhao W. Effect of different doses of Lacticaseibacillus paracasei K56 on body fat and metabolic parameters in adult individuals with obesity: a pilot study. Nutr Metab (Lond) 2023; 20:16. [PMID: 36944956 PMCID: PMC10031870 DOI: 10.1186/s12986-023-00739-y] [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: 12/26/2022] [Accepted: 03/17/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Studies have shown that probiotics have an effect on reducing body fat on a strain-specific and dose-response bases. The purpose of this study was to evaluate the effect of a novel probiotic strain Lacticaseibacillus paracasei K56 on body fat and metabolic biomarkers in adult individuals with obesity. METHODS 74 adult subjects with obesity (body mass index ≥ 30 kg/m2, or percent body fat > 25% for men, percent body fat > 30% for women) were randomized into 5 groups and supplemented with different doses of K56 (groups VL_K56, L_K56, H_K56, and VH_K56: K56 capsules, 2 × 107 CFU/day, 2 × 109 CFU/day, 2 × 1010 CFU/day, 2 × 1011 CFU/day, respectively) or placebo (group Pla: placebo capsule) for 60 days. Subjects were advised to maintain their original dietary intake and physical activity. Anthropometric measurements, body composition assessment, and metabolic parameters were measured at baseline and after 60 days of intervention. RESULTS The results showed that the L_K56 group had significant decreases in percent body fat (p = 0.004), visceral fat area (p = 0.0007), total body fat mass (p = 0.018), trunk body fat mass (p = 0.003), waist circumference (p = 0.003), glycosylated hemoglobin(p = 0.002) at the end of the study compared with baseline. There were non-significant reductions in Body weight and BMI in the L_K56, H_K56, VL_K56 groups, whereas increases were observed in the placebo and VH_K56 groups compared with baseline values. In addition, K56 supplementation modulated gut microbiota characteristics and diversity indices in the L-K56 group. However, mean changes in body fat mass, visceral fat area, weight, body mass index, waist circumference and hip circumference were not significantly different between groups. CONCLUSIONS The results suggest that supplementation with different doses of Lacticaseibacillus paracasei K56 has certain effect on reducing body fat and glycosylated hemoglobin, especially at a dose of 109 CFU/day. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT04980599.
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Affiliation(s)
- Guzailinuer Kadeer
- Department of Nutrition, Hua Dong Hospital Affiliated to Fudan University, Shanghai, China
| | - Wanrui Fu
- Department of Nutrition, Hua Dong Hospital Affiliated to Fudan University, Shanghai, China
| | - Yaqi He
- Department of Nutrition, Hua Dong Hospital Affiliated to Fudan University, Shanghai, China
| | - Ying Feng
- Department of Nutrition, Hua Dong Hospital Affiliated to Fudan University, Shanghai, China.
| | - Wei-Hsein Liu
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Wei-Lian Hung
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China.
| | - Haotian Feng
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Wen Zhao
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
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20
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Feng H, Li X, Xing Y, Xie L, Zhen S, Chang W, Zhang J. Adsorption of CO 32-/HCO 3- on a quartz surface: cluster formation, pH effects, and mechanistic aspects. Phys Chem Chem Phys 2023; 25:7951-7964. [PMID: 36866749 DOI: 10.1039/d2cp05234b] [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: 02/11/2023]
Abstract
Soluble inorganic carbon is an important component of a soil carbon pool, and its fate in soils, sediments, and underground water environments has great effects on many physiochemical and geological processes. However, the dynamical processes, behaviors and mechanism of their adsorption by soil active components, such as quartz, are still unclear. The aim of this work is to systematically address the anchoring mechanism of CO32- and HCO3- on a quartz surface at different pH values. Three pH values (pH 7.5, pH 9.5 and pH 11) and three carbonate salt concentrations (0.07, 0.14 and 0.28 M) are considered, and molecular dynamics methods are used. The results indicate that the pH value regulates the adsorption behavior of CO32- and HCO3- on the quartz surface by affecting the CO32-/HCO3- ratio and the surface charge of quartz. In general, both HCO3- and CO32- ions were able to adsorb on the quartz surface and the adsorption capacity of CO32- is higher than that of HCO3-. HCO3- ions tended to uniformly distribute in an aqueous solution and contact the quartz surface in the form of single molecules instead of clusters. In contrast, CO32- ions were mainly adsorbed as clusters which became larger as the concentration increased. Na+ ions were essential for the adsorption of HCO3- and CO32-, because some of the Na+ and CO32- ions spontaneously associated together to form clusters, promoting the clusters to be adsorbed on the quartz surface through cationic bridges. The local structures and dynamics trajectory of CO32- and HCO3- showed that the anchoring mechanism of carbonate solvates on quartz involved H-bonds and cationic bridges, which changed in relation to the concentration and pH values. However, the HCO3- ions mainly adsorbed on the quartz surface via H-bonds while the CO32- ions tended to be adsorbed through cationic bridges. These results may help in understanding the geochemical behavior of soil inorganic carbon and further the processes of the Earth's carbon chemical cycle.
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Affiliation(s)
- Haotian Feng
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. .,Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Xiong Li
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. .,Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Yuhang Xing
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. .,Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Liangchen Xie
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. .,Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Shuai Zhen
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. .,Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Wenqian Chang
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. .,Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
| | - Jianguo Zhang
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. .,Taklimakan Desert Research Station, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Korla 841000, China
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21
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Xie Q, Jia X, Zhang W, Xu Y, Zhu M, Zhao Z, Hao J, Li H, Du J, Liu Y, Feng H, Li H. Effects of
Poria cocos
extract and protein powder mixture on glucolipid metabolism and rhythm changes in obese mice. Food Sci Nutr 2023; 11:2356-2371. [PMID: 37181308 PMCID: PMC10171496 DOI: 10.1002/fsn3.3245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/08/2023] [Accepted: 01/16/2023] [Indexed: 03/11/2023] Open
Abstract
Herein, we explored the effects of Poria cocos extract, protein powder mixture, and their combined intervention on weight loss in high-fat diet (HFD)-induced obese mice. Male C57BL/6J mice were selected and fed a HFD for 8 weeks; obese mice that were successfully modeled were divided into modeling and five intervention groups, and given the corresponding treatment for 10 weeks. Body weight, fat, and muscle tissue, blood glucose, lipids, inflammatory factors, and other glucose and lipid metabolism-related indicators were measured to evaluate the effect of P. cocos and protein powder intervention on weight loss in obese mice. The body weight of the intervention group was reduced compared with the HFD group. Fat content of mice in F3PM group decreased significantly (p < .05). Levels of blood glucose, lipids, adiponectin, leptin, and inflammatory factors, including interleukin-1 β and tumor necrosis factor- α showed improvement. Lipoprotein lipase (lower about 2.97 pg/ml, vs. HFD mice 10.65 mmoL/ml) and sterol regulatory element-binding transcription factor (lower about 1413.63 pg/ml, vs. HFD mice 3915.33 pg/ml) levels in liver tissue were decreased. The respiratory exchange rate (RER) of mice in the HFD and subject intervention groups had no circadian rhythm and was maintained at approximately 0.80. The protein powder mixture (PM) group had the lowest RER (p < .05), the P. cocos extract (FL) and F1PM groups had similar RER to the HFD group (p < .05), and the F2PM group had a higher RER than the HFD group (p < .05). And food intake and energy metabolism returned to circadian rhythm, with an increase in the dose of P. cocos extract, the feeding rhythms of F1PM, F2PM, and F3PM were closer to that of the normal diet (ND) group. Feeding intervention with P. cocos and protein powder improved fat distribution, glucolipid metabolism, and energy metabolism, with the combination of F3PM showing more diverse benefits.
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Affiliation(s)
- Qiaoling Xie
- School of Public Health Xiamen University Xiamen China
| | - Xiuzhen Jia
- Inner Mongolia Dairy Technology Research Institute Co. Ltd. Hohhot China
- Yili Innovation Center Inner Mongolia Yili Industrial Group Co., Ltd. Hohhot China
| | - Wei Zhang
- School of Public Health Xiamen University Xiamen China
| | - Yuhan Xu
- School of Public Health Xiamen University Xiamen China
| | - Meizhen Zhu
- School of Public Health Xiamen University Xiamen China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co. Ltd. Hohhot China
- Yili Innovation Center Inner Mongolia Yili Industrial Group Co., Ltd. Hohhot China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co. Ltd. Hohhot China
- Yili Innovation Center Inner Mongolia Yili Industrial Group Co., Ltd. Hohhot China
| | - Haoqiu Li
- Inner Mongolia Dairy Technology Research Institute Co. Ltd. Hohhot China
- Yili Innovation Center Inner Mongolia Yili Industrial Group Co., Ltd. Hohhot China
| | - Jinrui Du
- Inner Mongolia Dairy Technology Research Institute Co. Ltd. Hohhot China
- Yili Innovation Center Inner Mongolia Yili Industrial Group Co., Ltd. Hohhot China
| | - Yan Liu
- Inner Mongolia Dairy Technology Research Institute Co. Ltd. Hohhot China
- Yili Innovation Center Inner Mongolia Yili Industrial Group Co., Ltd. Hohhot China
| | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co. Ltd. Hohhot China
- Yili Innovation Center Inner Mongolia Yili Industrial Group Co., Ltd. Hohhot China
| | - Hongwei Li
- School of Public Health Xiamen University Xiamen China
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22
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Zhang W, Jia X, Xu Y, Xie Q, Zhu M, Zhao Z, Hao J, Li H, Du J, Liu Y, Liu WH, Ma X, Hung W, Feng H, Li H. Effects of Coix seed extract, Lactobacillus paracasei K56, and their combination on the glycolipid metabolism in obese mice. J Food Sci 2023; 88:1197-1213. [PMID: 36717373 DOI: 10.1111/1750-3841.16474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 12/13/2022] [Accepted: 01/06/2023] [Indexed: 02/01/2023]
Abstract
Coix seed extract (CSE) and probiotics have been reported to regulate glycolipid metabolism through different modes of action. We tested the effects of CSE, Lactobacillus paracasei K56, and their combination to determine whether they have synergistic effects on glycolipid metabolism of obese mice. We fed male C57BL/6J mice with high-fat diet for 8 weeks to establish an obesity model. The obesity mice were selected and divided into five groups: the model control group and four intervention groups. After 10 weeks of continuous gavage intervention, the mice in the intervention groups exhibited lower body weight (lower about 2.31-4.41 g, vs. HFD 42.25 g, p < 0.01), and epididymal (lower about 0.58-0.92 g, vs. HFD 2.50 g, p < 0.01) and perirenal fat content (lower about 0.24-0.42 g, vs. HFD 0.88 g, p < 0.05); decreased fasting blood glucose, total cholesterol, triglycerides, and VLDL; and increased HLDL, respiratory exchange ratio, energy expenditure, and amount of exercise performed. K56 + CSE-combined intervention groups were more effective in lowering blood glucose, IL-1β, and TNF-α levels than the CSE and K56 alone interventions. The content of fatty acid synthase and SREBP-1c protein in liver tissue was lower. The combination has synergistic effects on weight control, fat reduction, and blood glucose regulation by improving the chronic inflammatory state and reducing the content of lipid synthesis-related enzymes of obese mice, which can hinder chronic disease progression. PRACTICAL APPLICATION: Coix seed extract can be used in obese people to regulate abnormal glucose and lipid metabolism and delay the development of chronic diseases.
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Affiliation(s)
- Wei Zhang
- School of Public Health, Xiamen University, Xiamen, China
| | - Xiuzhen Jia
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yuhan Xu
- School of Public Health, Xiamen University, Xiamen, China
| | - Qiaoling Xie
- School of Public Health, Xiamen University, Xiamen, China
| | - Meizhen Zhu
- School of Public Health, Xiamen University, Xiamen, China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haoqiu Li
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jinrui Du
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yan Liu
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Wei-Hsien Liu
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Xia Ma
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Weilian Hung
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China.,Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Hongwei Li
- School of Public Health, Xiamen University, Xiamen, China
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23
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Nan X, Zhao W, Liu WH, Li Y, Li N, Hong Y, Cui J, Shang X, Feng H, Hung WL, Peng G. Bifidobacterium animalis subsp. lactis BL-99 ameliorates colitis-related lung injury in mice by modulating short-chain fatty acid production and inflammatory monocytes/macrophages. Food Funct 2023; 14:1099-1112. [PMID: 36594489 DOI: 10.1039/d2fo03374g] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Pulmonary inflammation as one of the extraintestinal manifestations of ulcerative colitis (UC) has attracted extensive attention, and its pathogenesis is closely related to gut dysbiosis. Bifidobacterium animalis subsp. lactis BL-99 (BL-99) can alleviate osteoporosis caused by UC, but less research has been done on other extraintestinal manifestations (EIM) caused by UC. This study aimed to explore the role and potential mechanisms of BL-99 on DSS-induced pulmonary complications in colitis mice. The results showed that BL-99 decreased weight loss, disease activity index score, colonic pathology score, and the production of pro-inflammatory cytokines (e.g., TNF-α, IL-1β, and IL-6) in colitis mice. BL-99 also alleviated DSS-induced lung pathological damage by suppressing the infiltration of pro-inflammatory cytokines, inflammatory monocytes, and macrophages. Furthermore, 16S rRNA gene sequencing showed lower abundances of several potentially pathogenic bacteria (e.g., Burkholderia, Shigella, and Clostridium perfringens) and enrichment in specific beneficial bacteria (e.g., Adlercreutzia and Bifidobacterium animalis) in colitis mice with BL-99 treatment. Targeted metabolomics suggested that BL-99 intervention promoted the production of intestinal acetate and butyrate. Finally, we observed that the pulmonary expression of primary acetate and butyrate receptors, including FFAR2, FFAR3, and, GPR109a, was up-regulated in BL-99-treated mice, which negatively correlated with inflammatory monocytes and macrophages. Altogether, these results suggest that BL-99 might be utilized as a probiotic intervention to prevent the incidence of colitis-related lung injury owing to its ability to shape the intestinal microbiota and suppress inflammation.
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Affiliation(s)
- Xinmei Nan
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
| | - Wen Zhao
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Wei-Hsien Liu
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Yalan Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
| | - Na Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
| | - Yanfei Hong
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
| | - Jiaqi Cui
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
| | - Xuekai Shang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
| | - Haotian Feng
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Wei-Lian Hung
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Guiying Peng
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
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24
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Shen Q, Feng H, Song R, Song D, Xu H. Federated Meta-Learning with Attention for Diversity-Aware Human Activity Recognition. Sensors (Basel) 2023; 23:1083. [PMID: 36772123 PMCID: PMC9919758 DOI: 10.3390/s23031083] [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] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/25/2022] [Accepted: 01/05/2023] [Indexed: 06/18/2023]
Abstract
The ubiquity of smartphones equipped with multiple sensors has provided the possibility of automatically recognizing of human activity, which can benefit intelligent applications such as smart homes, health monitoring, and aging care. However, there are two major barriers to deploying an activity recognition model in real-world scenarios. Firstly, deep learning models for activity recognition use a large amount of sensor data, which are privacy-sensitive and hence cannot be shared or uploaded to a centralized server. Secondly, divergence in the distribution of sensory data exists among multiple individuals due to their diverse behavioral patterns and lifestyles, which contributes to difficulty in recognizing activity for large-scale users or 'cold-starts' for new users. To address these problems, we propose DivAR, a diversity-aware activity recognition framework based on a federated Meta-Learning architecture, which can extract general sensory features shared among individuals by a centralized embedding network and individual-specific features by attention module in each decentralized network. Specifically, we first classify individuals into multiple clusters according to their behavioral patterns and social factors. We then apply meta-learning in the architecture of federated learning, where a centralized meta-model learns common feature representations that can be transferred across all clusters of individuals, and multiple decentralized cluster-specific models are utilized to learn cluster-specific features. For each cluster-specific model, a CNN-based attention module learns cluster-specific features from the global model. In this way, by training with sensory data locally, privacy-sensitive information existing in sensory data can be preserved. To evaluate the model, we conduct two data collection experiments by collecting sensor readings from naturally used smartphones annotated with activity information in the real-life environment and constructing two multi-individual heterogeneous datasets. In addition, social characteristics including personality, mental health state, and behavior patterns are surveyed using questionnaires. Finally, extensive empirical results demonstrate that the proposed diversity-aware activity recognition model has a relatively better generalization ability and achieves competitive performance on multi-individual activity recognition tasks.
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Affiliation(s)
- Qiang Shen
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
| | - Haotian Feng
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
| | - Rui Song
- School of Artificial Intelligence, Jilin University, Changchun 130012, China
| | - Donglei Song
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
| | - Hao Xu
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
- Chongqing Research Institute, Jilin University, Chongqing 401123, China
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25
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Zhang Q, Feng H, Li J, Feng R. Diagnostic accuracy of fluorine-18 fluorodeoxyglucose positron emission tomography for suspected primary and postoperative pyogenic spondylitis. J Orthop Surg Res 2023; 18:23. [PMID: 36627651 PMCID: PMC9830889 DOI: 10.1186/s13018-023-03507-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVE Fluorine-18 fluorodeoxyglucose positron emission tomography (18F-FDG PET) and PET/CT have been suggested for confirming or excluding musculoskeletal infection but the diagnostic value of this tool for pyogenic spondylitis remains to be confirmed. This meta-analysis was performed to verify the accuracy of 18F-FDG PET and PET/CT in diagnosing suspected pyogenic spondylitis by performing a systematic review and meta-analysis. METHODS We conducted a comprehensive literature search of PubMed, Embase and Cochrane Library to retrieve diagnostic accuracy studies in which suspected pyogenic spondylitis was assessed with 18F-FDG PET or PET/CT. The pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio (DOR), summarized receiver operating characteristic curve (sROC) and the area under the sROC (AUC) were calculated by using Stata software. RESULTS A total of 18 eligible studies (660 patients) with suspected pyogenic spondylitis were included in the quantitative analysis. 18F-FDG PET and PET/CT illustrated relatively high sensitivity (0.91, 95% CI: 0.84-0.95) and specificity (0.90, 95% CI: 0.79-0.95) for the diagnosis of pyogenic spondylitis. The pooled DOR and AUC were 86.00 (95% CI, 31.00-240.00) and 0.96 (95% CI, 0.94-0.97), respectively. For diagnosing pyogenic spondylitis without previous spine surgery, the pooled sensitivity, specificity, DOR and AUC were 0.93 (95% CI, 0.85-0.97), 0.91 (95% CI, 0.77-0.97), 136 (95% CI, 35-530) and 0.97 (95% CI, 0.95-0.98), respectively. For diagnosing postoperative pyogenic spondylitis, the pooled sensitivity, specificity, DOR and AUC were 0.85 (95% CI, 0.71 to 0.93), 0.87 (95% CI, 0.66 to 0.96), 38 (95% CI, 9 to 167) and 0.92 (95% CI, 0.89 to 0.94), respectively. CONCLUSION 18F-FDG PET and PET/CT presented satisfactory accuracy for diagnosing pyogenic spondylitis. The diagnostic effect of this nuclear imaging method for pyogenic spondylitis without previous spine surgery seems to be better than that for the postoperative ones. However, whether 18F-FDG PET and PET/CT could become a routine in patients with suspected pyogenic spondylitis remains to be confirmed. LEVEL OF EVIDENCE Level I evidence, a summary of meta-analysis.
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Affiliation(s)
- Qingyu Zhang
- grid.460018.b0000 0004 1769 9639Department of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Road Jing Wu Wei Qi, Jinan, 250021 Shandong China
| | - Haotian Feng
- grid.460018.b0000 0004 1769 9639Department of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Road Jing Wu Wei Qi, Jinan, 250021 Shandong China
| | - Jianmin Li
- grid.27255.370000 0004 1761 1174Department of Orthopedics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China
| | - Rongjie Feng
- grid.460018.b0000 0004 1769 9639Department of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Road Jing Wu Wei Qi, Jinan, 250021 Shandong China
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26
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Wu Z, Li X, Chen X, He X, Chen Y, Zhang L, Li Z, Yang M, Yuan G, Shi B, Chen N, Li N, Feng H, Zhou M, Rui G, Xu F, Xu R. Phosphatidyl Inositol 3-Kinase (PI3K)-Inhibitor CDZ173 protects against LPS-induced osteolysis. Front Pharmacol 2023; 13:1021714. [PMID: 36686650 PMCID: PMC9854393 DOI: 10.3389/fphar.2022.1021714] [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: 08/17/2022] [Accepted: 11/03/2022] [Indexed: 01/09/2023] Open
Abstract
A major complication of a joint replacement is prosthesis loosening caused by inflammatory osteolysis, leading to the revision of the operation. This is due to the abnormal activation of osteoclast differentiation and function caused by periprosthetic infection. Therefore, targeting abnormally activated osteoclasts is still effective for treating osteolytic inflammatory diseases. CDZ173 is a selective PI3K inhibitor widely used in autoimmune-related diseases and inflammatory diseases and is currently under clinical development. However, the role and mechanism of CDZ173 in osteoclast-related bone metabolism remain unclear. The possibility for treating aseptic prosthesis loosening brought on by inflammatory osteolysis illness can be assessed using an LPS-induced mouse cranial calcium osteolysis model. In this study, we report for the first time that CDZ173 has a protective effect on LPS-induced osteolysis. The data show that this protective effect is due to CDZ173 inhibiting the activation of osteoclasts in vivo. Meanwhile, our result demonstrated that CDZ173 had a significant inhibitory effect on RANKL-induced osteoclasts. Furthermore, using the hydroxyapatite resorption pit assay and podosol actin belt staining, respectively, the inhibitory impact of CDZ173 on bone resorption and osteoclast fusion of pre-OC was determined. In addition, staining with alkaline phosphatase (ALP) and alizarin red (AR) revealed that CDZ173 had no effect on osteoblast development in vitro. Lastly, CDZ173 inhibited the differentiation and function of osteoclasts by weakening the signal axis of PI3K-AKT/MAPK-NFATc1 in osteoclasts. In conclusion, our results highlight the potential pharmacological role of CDZ173 in preventing osteoclast-mediated inflammatory osteolysis and its potential clinical application.
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Affiliation(s)
- Zuoxing Wu
- Department of Orthopedic Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.,The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China.,Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, China
| | - Xuedong Li
- Department of Medical Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China
| | - Xiaohui Chen
- Department of Orthopedic Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.,The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China.,Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, China
| | - Xuemei He
- The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China
| | - Yu Chen
- The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China
| | - Long Zhang
- The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China
| | - Zan Li
- Department of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Mengyu Yang
- The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China
| | - Guixin Yuan
- The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China
| | - Baohong Shi
- The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China
| | - Ning Chen
- Department of Endocrinology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
| | - Na Li
- Department of Orthopedic Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.,The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China.,Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, China
| | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co. Ltd., Hohhot, China
| | - Mengyu Zhou
- Department of Dentistry, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Gang Rui
- Department of Orthopedic Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Feng Xu
- Department of Subject Planning, Ninth People's Hospital Shanghai, Jiaotong University School of Medicine, Shanghai, China
| | - Ren Xu
- Department of Orthopedic Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.,The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, China.,Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, China.,Research Centre for Regenerative Medicine, Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, China
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27
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Zhao B, Jia X, Feng H, Tang C, Huang Y, Zhao Z, Hao J, Li H, Du J, Liu Y, Bao X, Zhong Z, Zhang Y, Zhong Q. Nutrient combinations exhibit universal antianxiety, antioxidant, neuro-protecting, and memory-improving activities. Front Nutr 2023; 9:996692. [PMID: 36687677 PMCID: PMC9852889 DOI: 10.3389/fnut.2022.996692] [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: 07/18/2022] [Accepted: 12/14/2022] [Indexed: 01/07/2023] Open
Abstract
Anxiety disorders are the most common mental disorders and, without proper treatment, may lead to severe conditions: e.g., somatic disorders or permanent damage to central nervous system. Although there are drugs in clinical trials, this study focuses on exploring the efficacy of nutrients in treating these diseases. We built different zebrafish models and screened several nutrient combinations for their antianxiety, antioxidant, neuro-protecting, and memory-improving activities. Our results showed that the combinations of nutrients (e.g., Walnut Peptides + Theanine at 14.2 + 33.3 μg/ml) have similar or better activities than the positive control drugs. In addition, we discovered that the effects of the nutrients in the above four aspects were universal and highly related. This study is noteworthy as it suggested that nutrients could be healthier and greener drug alternatives and provide similar or better universal treatments for anxiety and related conditions.
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Affiliation(s)
- Bangcheng Zhao
- Laboratory of Non-Human Primate Disease Modeling Research, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiuzhen Jia
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Cheng Tang
- Sichuan SAFE Pharmaceutical Technology Co., Ltd., Chengdu, China
| | - Yixin Huang
- Department of Biological Sciences, College of Biological Science and Technology, Agricultural University of Hunan, Changsha, China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haoqiu Li
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jinrui Du
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yan Liu
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Xingyu Bao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Zhihui Zhong
- Laboratory of Non-Human Primate Disease Modeling Research, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China,Sichuan Kangcheng Biotech Co., Inc., Chengdu, China
| | - Yingqian Zhang
- Laboratory of Non-Human Primate Disease Modeling Research, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China,Sichuan Kangcheng Biotech Co., Inc., Chengdu, China,Yingqian Zhang,
| | - Qixing Zhong
- Laboratory of Non-Human Primate Disease Modeling Research, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China,Sichuan SAFE Pharmaceutical Technology Co., Ltd., Chengdu, China,*Correspondence: Qixing Zhong,
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28
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Dong XQ, Zhang ZQ, Feng H, Cai L. [A case report of the first and second branchial arch syndrome with torticollis]. Zhonghua Yan Ke Za Zhi 2022; 58:923-924. [PMID: 36348531 DOI: 10.3760/cma.j.cn112142-20220421-00189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
A 54-month-old female patient presented to the department of ophthalmology with abnormal head posture and facial asymmetry for two years. The patient's facial development was asymmetrical, with the middle 1/3 of the left side shorter than the right side. The left ear is less malformed than the right. There was no obvious abnormality in corneal light reflex and eye movement. Head tilt test ( -). So, paralysis of the superior oblique muscle was excluded. In consultation with the department of maxillofacial surgery, the patient was confirmed as the first and second branchial arch syndrome and torticollis.
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Affiliation(s)
- X Q Dong
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
| | - Z Q Zhang
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
| | - H Feng
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
| | - L Cai
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen 518000, China
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29
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Wang H, Li X, Xu L, Ren Y, Deng W, Feng H, Yang Z, Ma S, Ni Q, Kuang Y. The Feasibility of Quad-Modal PET/SPECT/Spectral-CT/CBCT On-Board Imaging in a Small-Animal Radiation Therapy Platform. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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30
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Hong L, Wang X, Fang Z, Sun X, Ge X, Chen C, Feng H, Hu H. Clinical Efficacy of Venastent - A Novel Iliac Vein Stent for Non-Thrombotic Iliac Vein Lesions: A Multi-Centre Randomised Controlled Trial. J Vasc Surg 2022. [DOI: 10.1016/j.jvs.2022.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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31
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Zhang W, Jia X, Xu Y, Xie Q, Zhu M, Zhang H, Zhao Z, Hao J, Li H, Du J, Liu Y, Liu WH, Ma X, Hung W, Feng H, Li H. Effects of Coix Seed Extract, Bifidobacterium BPL1, and Their Combination on the Glycolipid Metabolism in Obese Mice. Front Nutr 2022; 9:939423. [PMID: 35923203 PMCID: PMC9341295 DOI: 10.3389/fnut.2022.939423] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 06/20/2022] [Indexed: 12/12/2022] Open
Abstract
Coix seed extract (CSE) and probiotics have been reported to regulate glycolipid metabolism via different modes of action. We tested the effects of CSE, Bifidobacterium BPL1, and their combination to determine their effects on glycolipid metabolism in obese mice. Male C57BL/6J mice were fed a high-fat diet for 8 weeks to establish an obesity model. Obese mice were selected and divided into four groups: the model control group and three intervention groups. After 10 weeks of continuous gavage intervention, the mice in the intervention groups exhibited lower body weight (lower about 2.31 g, vs. HFD mice 42.23 g) and epididymal (lower about 0.37 g, vs. HFD mice 2.5 g) and perirenal fat content (lower about 0.47 g, vs. HFD mice 0.884 g); decreased fasting blood glucose, total cholesterol, triglycerides, and VLDL; and increased HLDL, respiratory exchange ratio, energy expenditure, and amount of exercise performed. CSE, BPL1 and their combination can effectively control the weight gain in obese mice, reduce fat content, and regulate blood lipids and abnormal blood sugar. These results may be related to reduce the chronic inflammatory states, improve energy metabolism, exercise, relieve insulin sensitivity, and reduce lipid synthesis via the intervention of CSE, BPL1 and their combination. Compared with the single use of CSE alone, the combination of CSE + BPL1 can better exert the regulation function of intestinal flora, and change in the abundance of bacteria that could improve the level of inflammatory factors, such as increasing Bifidobacterium, reducing Lactococcus. Compared with the use of BPL1 alone, the combination of CSE and BPL1 can better regulate pancreatic islet and improve blood sugar. CSE may act directly on body tissues to exert anti-inflammatory effects. BPL1 and CSE + BPL1 may improve the structure and function of the intestinal flora, and reduce tissue inflammation.
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Affiliation(s)
- Wei Zhang
- School of Public Health, Xiamen University, Xiamen, China
| | - Xiuzhen Jia
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yuhan Xu
- School of Public Health, Xiamen University, Xiamen, China
| | - Qiaoling Xie
- School of Public Health, Xiamen University, Xiamen, China
| | - Meizhen Zhu
- School of Public Health, Xiamen University, Xiamen, China
| | - Hesong Zhang
- School of Public Health, Xiamen University, Xiamen, China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haoqiu Li
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Jinrui Du
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yan Liu
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Wei-Hsien Liu
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Xia Ma
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Weilian Hung
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haotian Feng
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Hongwei Li
- School of Public Health, Xiamen University, Xiamen, China
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Tang L, Li X, Feng H, Ma C, Chang Q, Zhang J. Infiltration of salt solutions through illite particles: Effect of nanochannel size and cation type. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2022.128581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Zhu Y, Li JQ, Chang Q, Qiang HP, Lu JH, Feng H, Shen YC, Qian JL, Chu TQ. [Impact of neoadjuvant immunotherapy on pulmonary function and perioperative outcomes in patients with resectable non-small cell lung cancer]. Zhonghua Yi Xue Za Zhi 2022; 102:393-398. [PMID: 35144337 DOI: 10.3760/cma.j.cn112137-20211009-02226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effect of neoadjuvant immunotherapy on pulmonary function and the efficacy in patients with resectable non-small cell lung cancer. Methods: Data of 30 patients with non-small cell lung cancer (NSCLC) who received neoadjuvant immunotherapy before surgery in the Chest Hospital of Shanghai Jiaotong University from March 2018 to September 2021 were retrospectively collect. The efficacy and safety of neoadjuvant immunotherapy in the perioperative period and changes in pulmonary function of patients before and after neoadjuvant treatment were valuated. Results: The patients were all-male with age of (61±8)years old, The major pathological response (MPR) rate of patients receiving neoadjuvant immunotherapy was 43%(13 cases), the pathologic complete response (pCR) rate was 37% (11 cases), disease control rate (DCR) was 97% (29 cases), objective response rate (ORR) was 67% (20 cases). The forced expiratory volume in one second (FEV1) after treatment was (2.59±0.63) L, and the ratio of FEV1 to the predicted value (FEV1%pred) was 85.27%±15.86%, which were significantly higher than those before treatment [(2.48±0.59)L, 81.73%±15.94%, respectively] (P=0.013, 0.022, respectively). Forced vital capacity (FVC) after treatment was (3.59±0.77) L, which was also significantly higher than before [(3.47±0.76) L,P=0.036]; while there were no statistical difference in FEV1/FVC and FVC accounted for the proportion of predicted values (FVC%pred) between before and after treatment (P=0.084, 0.344, respectively). The ratio of carbon monoxide dispersion (DLCO) to the predicted value (DLCO%pred) decreased from 83.61%±13.10% to 78.69%±13.85% after treatment (P=0.023). There was no significant difference in the incidence of postoperative complications between the DLCO%pred decreased group and the non-decreased group (3/18 vs 0/6; P=0.546). Conclusions: Neoadjuvant immunotherapy can increase the rate of MPR and PCR, significantly increase FEV1 and FEV1%pred, but also lead to a decrease in DLCO%pred; neoadjuvant immunotherapy does not increase the incidence of postoperative complications.
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Affiliation(s)
- Y Zhu
- Department of Pulmonary Function, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - J Q Li
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - Q Chang
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - H P Qiang
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - J H Lu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - H Feng
- Department of Emergency Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - Y C Shen
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - J L Qian
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - T Q Chu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
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Lan H, Liu WH, Zheng H, Feng H, Zhao W, Hung WL, Li H. Bifidobacterium lactis BL-99 protects mice with osteoporosis caused by colitis via gut inflammation and gut microbiota regulation. Food Funct 2022; 13:1482-1494. [PMID: 35060590 DOI: 10.1039/d1fo02218k] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Patients diagnosed with inflammatory bowel disease or related conditions also frequently suffer from osteoporosis as a consequence of changes in the intestinal microenvironment and consequent dysbiosis. We hypothesized that anti-inflammatory probiotic treatment would be sufficient to alleviate intestinal inflammation and thereby prevent the development of osteoporosis. To that end, the ability of Bifidobacterium lactis BL-99 administration to protect against bone loss in an experimental model of dextran sodium sulfate-induced ulcerative colitis (UC) was analyzed, and the underlying molecular mechanisms were interrogated in detail. The results of these analyses revealed that BL-99 administration suppressed colitis-associated weight loss (P < 0.05), disease activity index scores, and the production of proinflammatory cytokines (TNF-α, IL-1β, IL-6, and IL-17) (P < 0.05). Colon tissue pathological sections similarly revealed BL-99-mediated reductions in tissue injury severity. Micro-computed tomography (Micro-CT) analyses further exhibited significant improvements in percent bone volume (BV/TV) as well as trabecular number and thickness in BL-99-treated animals (P < 0.05). Such probiotic supplementation also resulted in pronounced changes in the composition of the gut microbiota. Moreover, BL-99 intervention markedly increased the expression of intestinal barrier-related proteins (Claudin-1, MUC2, ZO-1, and Occludin). Together, these results suggest that BL-99 can be utilized as a beneficial probiotic preparation to prevent the incidence of osteoporosis in UC patients owing to its ability to shape the intestinal microflora and to suppress inflammatory cytokine production.
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Affiliation(s)
- Hui Lan
- School of Public Health, Xiamen University, Xiamen 361102, Fujian, China.
| | - Wei-Hsien Liu
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Hanying Zheng
- School of Public Health, Xiamen University, Xiamen 361102, Fujian, China.
| | - Haotian Feng
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Wen Zhao
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Wei-Lian Hung
- Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, Inner Mongolia, China.
| | - Hongwei Li
- School of Public Health, Xiamen University, Xiamen 361102, Fujian, China.
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Wu Y, Wei X, Feng H, Hu B, Liu J, Wang T. LINC00993 promoting METTL14-mediated m6A methylation in prostate cancer cell proliferation and progression. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00507-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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36
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Feng H, Deng Z, Ruan Y, Liu J, Wang T. Circular RNA EPHA3 suppresses prostate cancer cells proliferation and metastasis through miR-513a-3p/ SOX6 axis. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00505-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Zhang J, Lu WD, Li M, Li G, Feng H, Zhang HY, Ji QS, Cui XP. [Risk factors of perinatal complications in patients with pulmonary hypertension underwent cesarean section in 4 Chinese centers]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:43-48. [PMID: 35045613 DOI: 10.3760/cma.j.cn112148-20211202-01041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To identify the risk factors related to perinatal complications in patients with pulmonary hypertension underwent cesarean section. Methods: We retrospectively analyzed the medical records of all pregnant women with pulmonary hypertension hospitalized in 4 different hospitals in Shandong province and underwent cesarean section between May 2010 and May 2020. Patients were divided into perinatal complication group and control group according to the presence or absence of perinatal complications. Perinatal complications included aggravated heart function, new onset arrythmias, sudden cardiac arrest, all-cause death within 42 days post cesarean section, postpartum bleeding and thrombotic events. Risk factors of perinatal complications were analyzed. Results: A total of 167 patients (47 cases in the perinatal complication group and 120 cases in the control group) were included in this study. The average age of this cohort was 28(24, 32) years, and 75(44.9%) patients suffered newly diagnosed pulmonary hypertension during pregnancy. The main cause of pulmonary hypertension was congenital heart disease (137(82.0%)). Age, pregnant weeks, percent of primipara, intra-cardiac shunt, and receiving targeted medication therapy, cardiac dimensions were similar between the two groups. A total of 62 complications were recorded in the complication group including 28 cases of aggravated heart function, 4 cases of new onset arrythmias, 2 cases of cardiac arrest, 11 cases of bleeding or thrombotic events and 17 patients were dead. Prevalence of idiopathic pulmonary hypertension and general anesthesia was significantly higher, functional capacity was significantly lower in perinatal complication group than in control group (all P<0.05). The estimated systolic pulmonary artery pressure, serum N-terminal pro-B type natriuretic peptide and total bilirubin (TBIL) levels were significantly higher in perinatal complication group than in control group (all P<0.05). Logistic analysis demonstrated WHO Function Class(FC) Ⅲ/Ⅳ (OR=2.416,95%CI 1.016-5.743, P=0.046) and TBIL level (OR=6.874,95%CI 1.643-28.757, P=0.008) were the independent risk factors of perinatal complications. Conclusion: TBIL and WHO FC are independent risk factors of perinatal complications in pregnant women with pulmonary hypertension underwent cesarean section.
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Affiliation(s)
- J Zhang
- Department of Cardiovascular Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - W D Lu
- Department of Geriatric Medicine & Shandong Key Laboratory Cardiovascular Proteomics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - M Li
- Intensive Care Unit of Cardiac Surgery, Shandong Provincial Qianfoshan Hospital, First Hospital Affiliated to Shandong First Medical University, Affiliated Hospital of Shandong University, Jinan 250014, China
| | - G Li
- Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - H Feng
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - H Y Zhang
- Department of Geriatric Medicine & Shandong Key Laboratory Cardiovascular Proteomics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Q S Ji
- Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - X P Cui
- Department of Geriatric Medicine & Shandong Key Laboratory Cardiovascular Proteomics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
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Meng X, Peng J, Li S, Feng H, Meng R, Zhang L, Liu X, Yu J. 106P Real-world outcomes in extensive-stage small cell lung cancer with PD-L1 inhibitors in China. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Chen X, Jia X, Zhang Y, Zhao Z, Hao J, Li H, Du J, Zhuang W, Szeto I, Zhou W, Chen Q, Ma Y, Feng H, Chen Y. The combined use of gamma-aminobutyric acid and walnut peptide enhances sleep in mice. Ann Palliat Med 2021; 10:11074-11082. [PMID: 34763469 DOI: 10.21037/apm-21-2798] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/21/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND γ-aminobutyric acid (GABA) is a naturally occurring non-protein amino acid in the nervous system and has a wide range of physiological functions in the body. Walnut peptide (WP) contains high levels of arginine, aspartic acid, and glutamate, and has been shown to improve cognitive deficits and memory impairment in mice, while restoring antioxidant enzyme levels and reducing brain inflammatory mediators. METHODS This study investigated the effects of GABA and WP, either alone or in combination, on sleep disturbances in mice. The pentobarbital-prolonged sleep test, pentobarbital-threshold sleep test, and barbital-induced sleep test were conducted to assess the effects of GABA and WP on sleep quality by gavage for 30 days as follows: GABA (102.25 mg/kg), WP (102.25 mg/kg), GABA (33.95, 102.25, 306.75 mg/kg)/WP (102.25 mg/kg) mixture. Furthermore, neurotransmitter tests were performed using mice brain tissue to investigate the possible mechanisms of GABA and WP on sleep status. RESULTS The results showed that the combined use of GABA and WP significantly increased sleep duration compared with single administration of either WP or GABA. Increasing doses of GABA in mice treated with combined GABA and WP elevated the sleep rate to 50.00%, 64.28%, and 64.28%, respectively, compared to mice treated with GABA alone (35.71%) or mice treated with WP alone (28.57%). In mice that received a combination of GABA and WP orally, the latency time was significantly decreased after 30 days compared to control mice (P<0.05). Additionally, in mice treated with GABA, WP, or the combination of GABA and WP, the concentrations of GABA and acetylcholine (Ach) in the brain were significantly elevated and the concentration of serotonin (5-HT) was decreased compared to untreated mice. CONCLUSIONS These results demonstrated that the combined administration of GABA and WP could prolong the sleep duration, increase sleep rate, and shorten the sleep latency more effectively than the administration of either GABA or WP alone. The mechanisms of action may be related to the regulation of neurotransmitters in the brain tissue by the combination of GABA and WP.
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Affiliation(s)
- Ximin Chen
- Bonnysci International Science & Technology Co., Ltd., Beijing, China
| | - Xiuzhen Jia
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Ying Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Haoqiu Li
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Jinrui Du
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Weiting Zhuang
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Ignatius Szeto
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Weizheng Zhou
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Qingshan Chen
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yulin Ma
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Haotian Feng
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Yuexiao Chen
- Department of Food Nutrition & Function Assessment Center, Beijing Institute of Nutritional Resources, Beijing, China
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Drozdowski R, Sinha S, Lin G, Feng H. Accuracy of popular online symptom checkers for dermatological diagnoses. Clin Exp Dermatol 2021; 47:456-457. [PMID: 34609769 DOI: 10.1111/ced.14960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 11/27/2022]
Affiliation(s)
- R Drozdowski
- University of Connecticut School of Medicine, Farmington, CT, USA
| | - S Sinha
- Frank H. Netter MD School of Medicine at Quinnipiac University, North Haven, CT, USA
| | - G Lin
- Department of Dermatology, University of Connecticut Health Center, Farmington, CT, USA
| | - H Feng
- Department of Dermatology, University of Connecticut Health Center, Farmington, CT, USA
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Feng H, Chen Y, Xie Z, Jiang J, Zhong Y, Gao L, Zhou W, Guo W, Yan W, Lv Z, Lu D, Liang H, Xu F, Yang J, Yang X, Zhou Q, Zhang D, Zhang Z, Chuai S, Zhang H, Wu Y, Zhang X. P52.02 High SHP2 Expression Determines the Efficacy of PD-1/PD-L1 Inhibitors in Advanced KRAS Mutant Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Chen Z, Liu XF, Feng H, Tang JH, Zhao CM, Guo SJ, Chen Q, Liu L. Application of Maxillary Sinus Effusion Detection in Diagnosis of Drowning. Fa Yi Xue Za Zhi 2021; 37:215-219. [PMID: 34142483 DOI: 10.12116/j.issn.1004-5619.2020.400325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Indexed: 11/30/2022]
Abstract
Abstract Objective To study the imaging characteristics of maxillary sinus effusion in drowned bodies, to explore its morphological characteristics and value in the diagnosis of the cause of death, and to provide objective evidence to support the study of virtual anatomy of drowning. Methods The 154 postmortem CT examination cases (31 cases of drowning, 123 cases of non-drowning) of Beijing Public Security Bureau Forensic Center in 2019 were collected. The bodies of all cases were scanned by multi-layer spiral CT before double-blind reading by clinical imaging experts. Maxillary sinus of corpses with maxillary sinus effusion in imaging findings was punctured. The detection rate of maxillary sinus effusion was calculated. The CT value and volume of maxillary sinus effusion were measured on 3D DICOM workstation. Results The detection rate of maxillary sinus effusion in the drowning was 100%, the shape was horizontal liquid level, the volume was 1.2-11.2 mL, the CT value was 6.08-19.02 Hu, with an average value of 12.85 Hu. The detection rate of maxillary sinus effusion in non-drowning was 19.51% (24/123), the shape was wavy or irregular, and there were bubbles inside, the volume was 0.4-13.4 mL, the CT value was 23.68-77.75 Hu, with an average value of 42.08 Hu. The differences in CT value between the two groups had statistical significance. Conclusion The postmortem CT examination method can be used to observe the shape and measure the CT value of the maxillary sinus effusion in the bodies in water, which can be an auxiliary examination method for identification of drowning.
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Affiliation(s)
- Z Chen
- School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - X F Liu
- Criminal Investigation Brigade of Beijing Public Security Bureau, Beijing 100023, China
| | - H Feng
- Criminal Investigation Brigade of Beijing Public Security Bureau, Beijing 100023, China
| | - J H Tang
- Criminal Investigation Brigade of Beijing Public Security Bureau, Beijing 100023, China
| | - C M Zhao
- Criminal Investigation Brigade of Beijing Public Security Bureau, Beijing 100023, China
| | - S J Guo
- Detachment of Criminal Investigation, Haidian Branch of Beijing Public Security Bureau, Beijing 100192, China
| | - Q Chen
- Criminal Investigation Brigade of Beijing Public Security Bureau, Beijing 100023, China
| | - L Liu
- Criminal Investigation Brigade of Beijing Public Security Bureau, Beijing 100023, China
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Xie G, Liu W, Lian Z, Xie D, Yuan G, Ye J, Lin Z, Wang W, Zeng J, Shen H, Wang X, Feng H, Cong W, Yao G. Spleen tyrosine kinase (SYK) inhibitor PRT062607 protects against ovariectomy-induced bone loss and breast cancer-induced bone destruction. Biochem Pharmacol 2021; 188:114579. [PMID: 33895161 DOI: 10.1016/j.bcp.2021.114579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/20/2021] [Accepted: 04/20/2021] [Indexed: 02/05/2023]
Abstract
Osteolytic diseases, including breast cancer-induced osteolysis and postmenopausal osteoporosis, are attributed to excessive bone resorption by osteoclasts. Spleen tyrosine kinase (SYK) is involved in osteoclastogenesis and bone resorption, whose role in breast cancer though remains controversial. Effects of PRT062607 (PRT), a highly specific inhibitor of SYK, on the osteoclast and breast cancer functionalities are yet to be clarified. This study demonstrated the in vitro inhibitory actions of PRT on the osteoclast-specific gene expression, bone resorption, and osteoclastogenesis caused by receptor activator of nuclear factor kappa B ligand (RANKL), as well as its in vitro suppressive effects on the growth, migration and invasion of breast carcinoma cell line MDA-MB-231, which were achieved through PLCγ2 and PI3K-AKT-mTOR pathways. Further, we proved that PRT could prevent post-ovariectomy (OVX) loss of bone and breast cancer-induced bone destruction in vivo, which agreed with the in vitro outcomes. In conclusion, our findings suggest the potential value of PRT in managing osteolytic diseases mediated by osteoclasts.
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Affiliation(s)
- Gang Xie
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Wenjie Liu
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Zhen Lian
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Dantao Xie
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Guixin Yuan
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Jiajie Ye
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Zihong Lin
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Weidong Wang
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Jican Zeng
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Huaxing Shen
- Institute of Translational Medicine, Shanghai University, Shanghai, China
| | - Xinjia Wang
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Haotian Feng
- Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, China; School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Wei Cong
- Institute of Translational Medicine, Shanghai University, Shanghai, China.
| | - Guanfeng Yao
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China.
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Jiang QX, Wang YL, Yijie YJ, Liu XQ, Xu J, Zheng MC, Feng H, Wang WW, Sun HL, Zhu SL, Li WJ, Zhao N. [Multicenter cross-sectional investigation on the cleaning status and influencing factors of skin cleaning outside the wound in adult trauma patients]. Zhonghua Shao Shang Za Zhi 2021; 37:429-436. [PMID: 34044525 DOI: 10.3760/cma.j.cn501120-20210116-00023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the status and influencing factors of skin cleaning outside wound (hereinafter referred to as skin) in adult trauma patients. Methods: A multicenter cross-sectional investigation was conducted. From September 1 to 30, 2020, a total of 952 adult trauma patients who met the inclusion criteria were admitted to wound care clinics or trauma surgery wards of 13 military or local Grade Ⅲ Level A hospitals, including the General Hospital of the Eastern Theater Command of People's Liberation Army and the Army Medical Center, etc. A self-designed questionnaire on cleaning status of skin in trauma patients was released through the "questionnaire star" website to investigate basic information such as gender, age, education level, living status, and self-care ability, trauma information such as cause of injury, wound duration, trauma site, trauma depth, wound pain, wound peculiar smell, and wound cleaning solution, and skin cleaning status after injury such as whether to clean or not, cleaning method, cleaning frequency, cleaning duration in each time, or reasons for not cleaning. The patients who cleaned skin regularly after injury were included in cleaning group, and the other patients were included in no cleaning group. The basic information, trauma information, and skin cleaning status after injury of patients in 2 groups were investigated. Data were statistically analyzed with chi-square test, and binary multivariate logistic regression analysis was performed on indicators with statistically significant differences between the two groups to screen the independent influencing factors of skin cleaning in trauma patients. Results: A total of 952 questionnaires were received, and the recovery rate was 100%. Three invalid questionnaires were eliminated, and 949 valid questionnaires were obtained, with an effective rate of 99.68%. In 949 patients, there were 461 (48.6%) males and 488 (51.4%) females, aged 18-100 (50±18) years. Most patients were less than 60 years old, lived with their families, and could take care of themselves completely. Nearly half of the patients were with junior high school or below education level. The main causes of injury were sharp cutting injury and falling injury, the wound duration was 2-365 days, most of the injured parts were limbs and trunk, the wound depth was mostly full-thickness injury, and most patients had wound-related pain and no peculiar smell and used 5 g/L iodophor to clean the wound. Totally 684 (72.1%) patients cleaned their skin after injury, mainly by scrubbing with warm water, the cleaning frequency was mainly once or twice a week, and the cleaning time was mainly 10 or 15 min for each time. Totally 265 (27.9%) patients didn't clean their skin after injury, and the main causes for not cleaning were following the doctor's advice, followed by worrying about wound infection and loss of self-care ability. There were significantly statistical differences in constituent ratios of education level, self-care ability, cause of injury, wound pain, and wound peculiar smell of patients in 2 groups (χ2=12.365, 24.519, 22.820, 9.572, 92.342, P<0.01). Education level, self-care ability, cause of injury, wound pain, and wound peculiar smell were potential influencing factors of skin cleaning in patients. Binary multivariate logistic regression analysis showed that self-care ability, wound pain, and wound peculiar smell were independent influencing factors of skin cleaning in patients (odds ratio=1.51, 0.52, 3.72, 95% confidence interval=1.08-2.12, 0.42-0.89, 2.66-5.22, P<0.05 or P<0.01). Conclusions: Self-care ability, wound pain, and wound peculiar smell are independent influencing factors of skin cleaning in adult trauma patients.
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Affiliation(s)
- Q X Jiang
- Department of Burns and Plastic Surgery, the General Hospital of the Eastern Theater Command of PLA, Nanjing 210002, China
| | - Y L Wang
- Nursing Department, the Army Medical Center, Chongqing 400042, China
| | - Y J Yijie
- Department of Burns, the Affiliated Hospital of Jiangnan University(Wuxi Third People's Hospital), Wuxi 214035, China
| | - X Q Liu
- Medical School, Nanjing University, Nanjing 210008, China
| | - J Xu
- Department of Orthopedics, Suqian People's Hospital of Nanjing Drum-Tower Hospital Group, Suqian 223800, China
| | - M C Zheng
- Department of Colorectal Surgery, Cancer Hospital Affiliated to Sun Yat-Sen University, Guangzhou 510060, China
| | - H Feng
- Department of Urology, the Second Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400037, China
| | - W W Wang
- Department of Orthopaedics, the Second Naval Hospital of Southern Theater Command of PLA, Sanya 572000, China
| | - H L Sun
- Specialized Nursing Clinic, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - S L Zhu
- Department of Surgery, the First People's Hospital of Lianyungang, Lianyungang 222002, China
| | - W J Li
- Wound Care Clinic of Outpatient Department, the 904th Hospital of the Joint Logistic Support Force of PLA, Wuxi 214008, China
| | - N Zhao
- Nursing Department, the 981st Hospital of the Joint Logistic Support Force of PLA, Chengde 067000, China
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Drozdowski R, Gronbeck C, Feng H. Evaluating the impact of the COVID-19 pandemic and state restrictions on public interest in tanning: a Google Trends analysis. Clin Exp Dermatol 2021; 46:1579-1582. [PMID: 34053109 PMCID: PMC8239571 DOI: 10.1111/ced.14774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2021] [Indexed: 11/29/2022]
Affiliation(s)
- R Drozdowski
- University of Connecticut School of Medicine, Farmington, CT, USA
| | - C Gronbeck
- University of Connecticut School of Medicine, Farmington, CT, USA
| | - H Feng
- Department of Dermatology, University of Connecticut Health Center, Farmington, CT, USA
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Zhang Y, Jia X, Chen X, Liu Y, Zhao Z, Hao J, Wu R, Feng H, Ren X. L-theanine and Neumentix mixture improves sleep quality and modulates brain neurotransmitter levels in mice. Ann Palliat Med 2021; 10:4572-4581. [PMID: 33966405 DOI: 10.21037/apm-21-663] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 04/24/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND L-theanine (L-THE), a natural amino acid found in green tea, has been shown to improve anxiety and sleep. Neumentix proprietary spearmint extract (PSE), which is commonly found in beverage flavoring a pharmaceutical, also has a wide range of health benefits, including cognitive performance improvement. METHODS Four experiments tested the effects of L-THE and PSE on sleep: a direct sleeping test, pentobarbital-induced sleeping test, sub-hypnotic pentobarbital-induced sleeping test, and sodium barbital-induced sleeping test. Presence of neurotransmitters in brain tissue was detected by liquid chromatography mass spectroscopy (HP LC-MS) during these studies. RESULTS Pentobarbital-induced sleeping and sodium barbital-induced sleeping tests examined the potential effect of L-THE/PSE mixture on synergistic sleep, while neurotransmitter levels in the brain were determined by the high performance liquid chromatography/mass spectroscopy (HPLC/MS) method. L-THE and L-THE/PSE mixture showed increased sleep duration and shortened sleep latency when co-administrated with pentobarbital or sodium barbital. The mixture also increased sleeping rate when co-administrated with the pentobarbital at sub-hypnotic dose. Additionally, the L-THE, PSE and L-THE/PSE mixture significantly increased the concentrations of acetylcholine (Ach), γ-aminobutyric acid (GABA), and decreased the concentration of serotonin (5-HT) in the brain. CONCLUSIONS These data demonstrated that L-THE/PSE mixture regulates sleep disorders via the GABA receptor and neurotransmitter systems.
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Affiliation(s)
- Ying Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China
| | - Xiuzhen Jia
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Ximin Chen
- Bonnysci International Science & Technology Co., Ltd., Beijing, China
| | - Yajuan Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China
| | - Zifu Zhao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Jingyu Hao
- Inner Mongolia Dairy Technology Research Institute Co., Ltd., Hohhot, China
| | - Rui Wu
- Department of Nutrition, Food Safety and Toxicology, West China School of Public Health, Healthy Food Evaluation Research Center, Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
| | - Haotian Feng
- Yili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot, China
| | - Xiangnan Ren
- Department of Food Nutrition & Function Assessment Center, Beijing Institute of Nutritional Resources, Beijing, China
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Adalsteinsson JA, Olafsdottir E, Ratner D, Waldman R, Feng H, Ungar J, Silverberg JI, Kristjansson AK, Jonasson JG, Tryggvadottir L. Invasive and in situ squamous cell carcinoma of the skin: a nationwide study in Iceland. Br J Dermatol 2021; 185:537-547. [PMID: 33609287 DOI: 10.1111/bjd.19879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND The worldwide incidence of cutaneous squamous cell carcinoma (cSCC) is increasing. OBJECTIVES To evaluate the tumour burden of in situ and invasive cSCC in Iceland, where the population is exposed to limited ultraviolet radiation. METHODS This whole-population study used the Icelandic Cancer Registry, which contains records of all in situ and invasive cSCC cases from 1981 to 2017. Incidence of cSCC was evaluated according to age, anatomical location, residence and multiplicity, and trends were assessed using joinpoint analysis. Age-standardized rates (WSR) and age-specific incidence rates per 100 000 person-years were calculated, along with cumulative and lifetime risks. RESULTS Between 1981 and 2017, in situ cSCC WSR increased from 1·2 to 19·1 for men and from 2·0 to 22·3 for women. Invasive cSCC WSR rose from 4·6 to 14 for men and from 0·3 to 13·2 for women. The average number of in situ cSCC lesions was 1·71 per woman and 1·39 per man. Women developed more in situ cSCCs than invasive cSCCs in almost all anatomical locations, whereas men developed more invasive cSCCs, mostly on the head and neck. The rates of in situ cSCC were higher in Reykjavik compared with rural areas. Furthermore, women more commonly developed multiple in situ lesions. For lip cSCCs, invasive lesions occurred more frequently than in situ lesions among both sexes. Joinpoint analysis showed that in situ cSCC in women exhibited the most rapid incidence increase. CONCLUSIONS cSCC has become an increasingly significant public health problem in Iceland. Tanning bed use and travelling abroad may contribute to skin cancer development. Public health efforts are needed to stem the behaviours leading to this rapid rise in cSCC.
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Affiliation(s)
- J A Adalsteinsson
- Faculty of Medicine, University of Iceland, Saemundargata 2, Reykjavik, 101, Iceland.,Department of Dermatology, University of Connecticut, 21 South Road, Farmington, CT, USA
| | - E Olafsdottir
- Icelandic Cancer Registry, Skogarhlid 8, Reykjavik, 105, Iceland
| | - D Ratner
- Department of Dermatology, NYU Langone Health, New York, NY, USA
| | - R Waldman
- Department of Dermatology, University of Connecticut, 21 South Road, Farmington, CT, USA
| | - H Feng
- Department of Dermatology, University of Connecticut, 21 South Road, Farmington, CT, USA
| | - J Ungar
- Department of Dermatology, The Mount Sinai Hospital, 1 Gustave L. Levy Place, NY, USA
| | - J I Silverberg
- The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - A K Kristjansson
- Department of Pathology, Landspitali National-University Hospital, Hringbraut, Reykjavik, 101, Iceland
| | - J G Jonasson
- Faculty of Medicine, University of Iceland, Saemundargata 2, Reykjavik, 101, Iceland.,Department of Pathology, Landspitali National-University Hospital, Hringbraut, Reykjavik, 101, Iceland
| | - L Tryggvadottir
- Faculty of Medicine, University of Iceland, Saemundargata 2, Reykjavik, 101, Iceland.,Icelandic Cancer Registry, Skogarhlid 8, Reykjavik, 105, Iceland
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Ning HT, Du Y, Zhao LJ, Tian Q, Feng H, Deng HW. Racial and gender differences in the relationship between sarcopenia and bone mineral density among older adults. Osteoporos Int 2021; 32:841-851. [PMID: 33231702 PMCID: PMC8044008 DOI: 10.1007/s00198-020-05744-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 11/13/2020] [Indexed: 12/19/2022]
Abstract
Both sarcopenia and low bone mineral density (BMD) have become public health concerns. We found that presarcopenic and/or sarcopenic individuals were more likely to have lower BMD. And this relationship has race and sex-specific discrepancy. PURPOSE The purpose of the study was to investigate the racial and gender differences in the relationship between sarcopenia and BMD among older adults. METHODS Totally, 5476 subjects (mean age = 65.7 ± 6.4) of non-Hispanic White (n = 3297), non-Hispanic Black (n = 1265), and non-Hispanic Asian (n = 914) were analyzed. Sarcopenia was defined according to the revised European consensus on definition and diagnosis of sarcopenia (EWGSOP2). General linear model and multivariable linear regression model were used to examine the relationship between sarcopenia and regional/whole body BMD stratified by race and sex. Adjustments were conducted for physiological, behavioral, and disease factors. RESULTS Comparing with normal older participants, presarcopenic and sarcopenic elderly were more likely to have lower BMD. Although the difference was not statistically significant in a few sub-groups, among the three racial groups, the strongest association between sarcopenia and BMD was found in non-Hispanic Black people, followed by non-Hispanic White people and non-Hispanic Asian people. In addition, significant differences of BMD across sarcopenia stages were found in more sub-groups in women than in men after adjusting for covariates. CONCLUSIONS In this older cohort, sarcopenia is significantly related to low regional/whole-body BMD, and these associations vary by race and sex. Consideration in race and sex is warranted when developing strategies to maintain or minimize BMD loss.
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Affiliation(s)
- H-T Ning
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Y Du
- School of Nursing, University of Texas Health Science Center at San Antonio, TX, San Antonio, USA
| | - L-J Zhao
- Center for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, LA, New Orleans, USA
| | - Q Tian
- Center for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, LA, New Orleans, USA
| | - H Feng
- Xiangya School of Nursing, Xiangya-Oceanwide Health Management Research Institute, Central South University, Changsha, Hunan, China
| | - H-W Deng
- School of Medicine, Tulane University, New Orleans, LA, USA.
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Drozdowski R, Gronbeck C, Feng H. Mask-related acne in the COVID-19 pandemic: an analysis of Twitter posts and influencers. Clin Exp Dermatol 2021; 46:943-945. [PMID: 33577082 PMCID: PMC8013391 DOI: 10.1111/ced.14608] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 02/11/2021] [Indexed: 11/28/2022]
Affiliation(s)
- R Drozdowski
- University of Connecticut School of Medicine, Farmington, CT, USA
| | - C Gronbeck
- University of Connecticut School of Medicine, Farmington, CT, USA
| | - H Feng
- Department of Dermatology, University of Connecticut Health Center, Farmington, CT, USA
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Wingler D, Liston D, Joseph A, Wang Y, Feng H, Martin L. Perioperative anxiety in pediatric surgery: Induction room vs. operating room. Paediatr Anaesth 2021; 31:465-473. [PMID: 33278852 DOI: 10.1111/pan.14098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 11/08/2020] [Accepted: 11/23/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Perioperative anxiety can have a profound and lasting effect on children and their parents, with up to 70 percent of children undergoing outpatient surgery experiencing significant physiologic and/or psychological manifestations of anxiety throughout the ambulatory surgical process. The physical healthcare environment itself can contribute to these feelings, substantially impacting the level of anxiety experienced by both the child and their parent. OBJECTIVE This study sought to examine whether a difference exists between utilization of an induction room vs. the operating room on child and parent perioperative anxiety for parent present induction. METHODS A single institution multi-site prospective observational study was conducted with a cohort of 51 healthy children aged 6-12 years, receiving an outpatient tonsillectomy and/or adenoidectomy and their parent. The methodological approach utilized for this study was Ecological Momentary Assessment. Two psychological measures of anxiety, (i) momentary and (ii) environmental, and one physiologic measure of anxiety (i) electrodermal activity were used. Data were captured separately for child and parent. RESULTS For children who underwent anesthetic induction in the induction room, all three anxiety responses were significantly lower and exhibited a large positive effect [momentary (P = .0002, d = 1.984, induction room = 3.76, operating room = 7.07), environmental (P = .018, d = 1.160, induction room = 1.72, operating room = 0.85), and electrodermal activity (P = .039, d = 1.007, induction room = 0.76, operating room = 1.51)], as compared to children who were induced in the operating room. Electrodermal activity was also statistically significantly lower, with a large positive effect, in the postoperative environment (P = .004, d = 1.454, induction room = 0.21, operating room = 0.60) for Children who were induced in the induction room, as compared to the operating room cohort. No significant differences were found between parents for momentary and environmental anxiety, and electrodermal anxiety. CONCLUSIONS The nonpharmacological strategy of using an induction room for anesthetic induction of children may be clinically effective in reducing anxiety as compared to an operating room.
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Affiliation(s)
- Deborah Wingler
- The Center for Health Facilities Design and Testing, Clemson University, Clemson, SC, USA
| | - David Liston
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Anjali Joseph
- The Center for Health Facilities Design and Testing, Clemson University, Clemson, SC, USA
| | - Yifan Wang
- Seattle Children's Hospital, Seattle, WA, USA
| | - Haotian Feng
- Statistics and Mathematics Consulting Center, Clemson University, Clemson, SC, USA
| | - Lynn Martin
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
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