摘要：
The prevalence of obesity is escalating and has become a worldwide health challenge coinciding with the development of metabolic diseases. Emerging evidence has shown that obesity is accompanied by the infiltration of macrophages into adipose tissue, contributing to a state of low-grade chronic inflammation and dysregulated metabolism. Moreover, in the state of obesity, the phenotype of adipose tissue macrophages switches from the M2 polarized state to the M1 state, thereby contributing to chronic inflammation. Notably, multiple metabolic organs (adipose tissue, gut, skeletal muscle, and the liver) communicate with adipose tissue macrophages via secreting organokines or exosomes. In this review, we systematically summarize how the organokines (adipokines, gut microbiota and its metabolites, gut cytokines, myokines, and hepatokines) and exosomes (adipocyte-, skeletal muscle-, and hepatocyte-derived exosomes) act as important triggers for macrophage recruitment in adipose tissue and adipose tissue macrophage polarization, thus providing further insight into obesity treatment. In addition, we also highlight the complex interaction of organokines with organokines and organokines with exosomes, revealing new paths in understanding adipose tissue macrophage recruitment and polarization.
作者机构：
[Gong, Youwen] Univ South China, Sch Nursing, Hengyang Med Sch, Hengyang, Hunan, Peoples R China.;[Chen, Yongyi; Yang, Renting; Yan, Yixia; Zheng, Hongling; Cheng, Qinqin] Hunan Canc Hosp, Dept Nursing, Changsha, Hunan, Peoples R China.;[Xu, Xianghua] Hunan Canc Hosp, Dept Hlth Serv Ctr, Changsha, Hunan, Peoples R China.
通讯机构：
[Xu, Xianghua; Chen, Yongyi] D;Department of Nursing, Hunan Cancer Hospital, Changsha, Hunan, China 16962508@qq.com;Department of Health Service Center, Hunan Cancer Hospital, Changsha, Hunan, China 16962508@qq.com
通讯机构：
[Li, Weiqin; Tong, Zhihui] D;Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, 210000, Jiangsu, China.;Department of Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, 210010, Jiangsu, China.;National Institute of Healthcare Data Science, Nanjing University, Nanjing, 210010, Jiangsu, China. . CN - Chinese Acute Pancreatitis Clinical Trials Group (CAPCTG)
期刊：
Journal of Ultrasound in Medicine,2022年41(6):1343-1353 ISSN：0278-4297
通讯作者：
Zhiyi Chen
作者机构：
[Wang, Ziyao; Liu, Zhenyu; Chen, Zhiyi] Univ South China, Affiliated Hosp 1, Med Imaging Ctr, Hengyang Med Sch, 69 Chuanshan Rd, Hengyang 421001, Peoples R China.;[Du, Meng; Chen, Zhiyi] Univ South China, Inst Med Imaging, Hengyang, Peoples R China.
通讯机构：
[Zhiyi Chen ] T;The First Affiliated Hospital, Medical Imaging Center, Hengyang Medical School, University of South China, Hengyang, China<&wdkj&>Institute of Medical Imaging, University of South China, Hengyang, China
摘要：
The incidence of infertility is continuously increasing nearly all over the world in recent years, and novel methods for accurate assessment are of great need. Artificial Intelligence (AI) has gradually become an effective supplementary method for the assessment of female reproductive function. It has been used in clinical follicular monitoring, optimum timing for transplantation, and prediction of pregnancy outcome. Some literatures summarize the use of AI in this field, but few of them focus on the assessment of female reproductive function by AI-aided ultrasound. In this review, we mainly discussed the applicability, feasibility, and value of clinical application of AI in ultrasound to monitor follicles, assess endometrial receptivity, and predict the pregnancy outcome of in vitro fertilization and embryo transfer (IVF-ET). The limitations, challenges, and future trends of ultrasound combined with AI in providing efficient and individualized evaluation of female reproductive function had also been mentioned.
摘要：
Objective: To establish a stable acute DILI mouse model and explore its possible pathogenesis. Methods: Mice were randomly divided into control, low-dose, middle-dose and high-dose sodium cyclamate groups. Mice in the model group were intraperitoneally injected with corresponding doses of sodium cyclamate, and in the control group intraperitoneally injected with 0.9% normal saline. The toxic effects of sodium cyclamate on liver, heart, kidney were evaluated by biochemical index level and histomorphologically observed. The expression of TNF-alpha and IL-1 beta were measured by immunohistochemistry. Results: 1. The level of ALT in the low-dose and middle-dose groups at 24h, 72h, 120h and 168h were increased, also in the high-dose group at 24h, 72h and 120h. The level of AST in the low-dose group at 72h, 120h, 168h and in the middle-dose group at 168h were increased, also in the middle-dose and high-dose groups at 24h, 72h and 120h. The levels of CK, CK-MB and cTnT in the low-dose and middle-dose groups at 168h were increased, also in the high-dose group at 24h, 72h and 120h. 2. The damage of hepatocytes increased with the increase of sodium cyclamate dosage and treated time. 3. At 120h, the IOD/Area of TNF-alpha and IL-1 beta positive expression increased in the liver tissues with the increase of the dosage. In the heart and kidney tissues, the IOD/Area of TNF-alpha and IL-1 beta positive expression in the high-dose group increased significantly. In the kidney tissues, the IOD/Area of IL-1 beta positive expression in the middle-dose group increased significantly. Conclusion: Sodium cyclamate-induced acute DILI mouse model can be established by intraperitoneal injection of 6000 mg/kg/day sodium cyclamate for 5 days successfully. The toxicity of sodium cyclamate to liver showed a dose-response and time-response relationship. Sodium cyclamate induced liver, heart and kidney injury closely related to the inflammatory response mediated by TNF-alpha and IL-1 beta.
期刊：
JOURNAL OF NURSING ADMINISTRATION,2022年52(3):160-166 ISSN：0002-0443
通讯作者：
Liu, H.-P.
作者机构：
[Zhang, Xin; Feng, Ting-ting; Liu, Di; Liu, Hua-ping] Chinese Acad Med Sci & Peking Union Med Coll, Sch Nursing, Beijing, Peoples R China.;[Tan, Ling-ling] Univ South China, Affiliated Hosp 2, Nursing Dept, Hengyang, Hunan, Peoples R China.;[Dai, Li-cao] Univ South China, Inst Human Factors & Ergon, Hengyang, Hunan, Peoples R China.
通讯机构：
33 Ba Da Chu Rd, Shijingshan District, Beijing, China
摘要：
OBJECTIVES The aim of this study was to depict a comprehensive description of near miss research and clarify research gaps. BACKGROUND Learning from near miss can provide early warnings and is critical for proactive and prospective risk management. Because of the lack of structured reviews, there is little knowledge about how near miss management has been managed in the past. METHODS This review was conducted following the Arksey and O'Malley's methodology and reported by the PRISMA Extension for Scoping Reviews. RESULTS Sixty-seven research articles were included. The results revealed that the most investigated fields include near miss reporting, near miss characteristics, and good catch project. Poor theoretical investigation, underreporting, and inconsistent outcome indicators are major problems. CONCLUSIONS Solely understanding causes of near misses cannot guarantee effective learning; we also need to apply appropriate learning theories. Advanced technologies should be applied to solve long-standing underreporting issues. Accurate and consistent indicators should be applied in near miss research and management.
摘要：
Based on our direct shear creep experiment and the direct shear rheological constitutive model, a semi-empirical time-dependent parameter of the shear strength is obtained by Mohr-Coulomb shear strength theory, and different time-dependent traction force calculations between deep-sea sediment and a tracked miner are conducted by the work-energy principle. The time-dependent traction force calculation under its influencing factors, including the time, track shoe number, and grounding pressure, are analyzed and proved to be valid by the traction force experiment of a single-track shoe. The results show that the time-dependent cohesion force obtained by a semi-empirical way can be easily used to deduce the time-dependent traction force models under the different grounding pressure distributions and applied into deep-sea engineering application conveniently; the verified traction force models by the traction force experiment of a single-track shoe illustrate that traction force under the decrement grounding pressure distribution is the worst among the four kinds of grounding pressure distributions and suggested for evaluating the most unfavorable traction force and calculating the trafficability and stability of the deep-sea tracked miner.
期刊：
THERAPEUTIC ADVANCES IN NEUROLOGICAL DISORDERS,2022年15 ISSN：1756-2856
通讯作者：
Aihua Liu† Author contributions
作者机构：
[Niu, Hao; Peng, Fei; Liu, Hongyi; Chen, Jigang; Tong, Xin; Chen, Xuge; Xia, Jiaxiang; Liu, Aihua; He, Xiaoxin; Xu, Boya] Capital Med Univ, Beijing Tiantan Hosp, Dept Intervent Neuroradiol, 119,South 4th Ring West Rd, Beijing 100070, Peoples R China.;[Fu, Mingzhu; Li, Rui] Tsinghua Univ, Ctr Biomed Imaging Res, Dept Biomed Engn, Beijing, Peoples R China.;[Niu, Hao; Peng, Fei; Liu, Hongyi; Chen, Jigang; Tong, Xin; Chen, Xuge; Xia, Jiaxiang; Liu, Aihua; He, Xiaoxin; Xu, Boya] Capital Med Univ, Beijing Neurosurg Inst, Beijing, Peoples R China.;[Liu, Aihua] China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China.;[Liu, Lang] Cent South Univ, Xiangya Hosp 3, Dept Neurosurg, Changsha, Peoples R China.
通讯机构：
[Aihua Liu† Author contributions] D;Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, South 4th Ring West Road, Fengtai District, Beijing 100070, China<&wdkj&>Beijing Neurosurgical Institute, Capital Medical University, Beijing, China<&wdkj&>China National Clinical Research Center for Neurological Diseases, Beijing, China
通讯机构：
[Gao, L.-C.] D;Department of Pharmacy, China
关键词：
ferroptosis;microRNA;tumor;Mechanism;proliferation;invasion;metastasis;sensitivity of treatment
摘要：
Malignant tumor is a major killer that seriously endangers human health. At present, the methods of treating tumors include surgical resection, chemotherapy, radiotherapy and immunotherapy. However, the survival rate of patients is still very low due to the complicated mechanism of tumor occurrence and development and high recurrence rate. Individualized treatment will be the main direction of tumor treatment in the future. Because only by understanding the molecular mechanism of tumor development and differentially expressed genes can we carry out accurate treatment and improve the therapeutic effect. MicroRNA (miRNA) is a kind of small non coding RNA, which regulates gene expression at mRNA level and plays a key role in tumor regulation. Ferroptosis is a kind of programmed death caused by iron dependent lipid peroxidation, which is different from apoptosis, necrosis and other cell death modes. Now it has been found that ferroptosis plays an important role in the occurrence and development of tumors and drug resistance. More and more studies have found that miRNAs can regulate tumor development and drug resistance through ferroptosis. Therefore, in this review, the mechanism of ferroptosis is briefly outlined, and the relationship between miRNAs and ferroptosis in tumors is reviewed.
作者机构：
[Liu, Shengyun; Zhang, Yuqi; Li, Wei; Li, Tianfang] Zhengzhou Univ, Affiliated Hosp 1, Dept Rheumatol, 1 Jianshe East Rd, Zhengzhou 450052, Henan, Peoples R China.;[Wang, Yan] Zhengzhou Univ, Affiliated Hosp 1, Dept Resp & Crit Care Med, 1 Jianshe East Rd, Zhengzhou 450052, Henan, Peoples R China.;[He, Feng; Liu, Zhuo] Capital Inst Pediat, Dept Biochem & Immunol, 2 Yabao Rd, Beijing 100020, Peoples R China.;[Dong, Jie] Hunan Childrens Hosp, Pediat Res Inst Hunan Prov, Changsha, Peoples R China.;[Chen, En] Univ South China, Affiliated Hosp 1, Hengyang Med Sch, Dept Lab Med, Hengyang 421001, Hunan, Peoples R China.
通讯机构：
[Shengyun Liu; En Chen] D;Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China<&wdkj&>Department of Laboratory Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
摘要：
Visual inspection techniques for rail surface defects have become prevalent approaches to obtain information on rail surface damage. However, uneven illumination leads to illegibility of local information, and the change of the wheel-rail area results in the changeful background of the rail surface, both of which pose challenges to the visual inspection. This paper proposes a novel algorithm that detects rail surface defects via partitioned edge features (PEF). PEF eliminates the effect of uneven illumination by effectively extracting edge features and building homogeneous background on the rail surface. In the process of edge feature extraction, the thresholding based on adaptive partition of rail surface (APRS) plays an indispensable role. In APRS, the rail surface is adaptively partitioned into three types of regions according to the wheel-rail contact degree. After that, the dynamic threshold is set adaptively for each region type on the basis of the prior information of defect proportion. Subsequently, based on neighborhood information and fuzzy decision, the spatial information of adjacent pixels and the direction information of fracture edges are utilized to realize the effective recovery of incomplete defect contours. In addition, defect contours are precisely filled via a flexible combination of morphological hole filling operation and defect region extraction based on improved background difference. The accuracy of this PEF algorithm was confirmed by experiments and comparisons with related algorithms. The experiment results show that PEF detects defects with 92.03% recall and 88.49% precision, which achieves higher accuracy than the established detection algorithms for rail surface defects.
作者：
Ablikim, M.;Achasov, M. N.;Adlarson, P.;Albrecht, M.;Aliberti, R.;...
期刊：
PHYSICAL REVIEW D,2022年106(7) ISSN：2470-0010
作者机构：
[Yu, B. X.; Yu, G.; Li, Xiaoyu; Hu, T.; Ning, Z.; Zhang, P.; Wen, S. P.; Mezzadri, G.; Shi, X.; Sun, G. X.; Ma, M. M.; Zhao, Ling; Chen, T.; Zhu, Z. A.; Xu, G. F.; Wang, K.; Zhou, L. P.; Heng, Y. K.; Ji, Q.; Zhang, J. W.; Rong, G.; Batozskaya, V; Guan, C. Y.; Qi, F. Z.; Wang, Y. F.; Wang, L. L.; Ouyang, Q.; Zhang, A. Q.; Ji, X. B.; Qian, S.; Dong, M. Y.; Zhang, Jiawei; Fang, S. S.; Chang, J. F.; Liu, Z. A.; Wu, J. F.; Wang, Yaqian; Sun, S. S.; Fu, C. D.; Lou, X. C.; Lin, T.; Zhang, B. X.; Xing, T. Y.; Cao, G. F.; Wu, L. H.; Zhao, Y. B.; Zheng, J. P.; Jiang, X. S.; Kiuchi, R.; Gu, M. H.; Lu, Y. P.; Dong, L. Y.; Zhao, G.; Wu, L. J.; Li, L. J.; Yang, Yifan; Yuan, Y.; Lu, X. L.; Wu, Z.; Fang, Y.; Luo, X. L.; Ji, X. L.; Zhang, X. M.; Li, L. K.; Li, H. B.; Liang, H.; Huang, Y. P.; Balossino, I; Zhang, J. Y.; Yin, J. H.; Liu, Huanhuan; Song, W. M.; Chen, X. T.; Zhang, J. Z.; He, K. L.; Chen, G.; Ablikim, M.; Liu, C. X.; Chang, W. L.; Zhu, K.; Zhao, J. Z.; Yang, Tao; Mao, Z. P.; Zhao, Q.; Xiao, S. Y.; Lu, J. G.; Liu, P. L.; Jing, M. Q.; Sun, H. K.; Chen, Y. B.; Wang, Z.; Liu, Fang; Zhao, J. Y.; Dong, J.; Liu, K.; Shi, J. Y.; Wang, H. P.; Yuan, C. Z.; Tang, G. Y.; Yuan, S. C.; Zhang, H. Y.; Chen, M. L.; Zhang, Z. H.; Hou, G. Y.; Shen, H. F.; Shao, L. G.; Hou, Z. L.; Sun, Y. Z.; Liu, B. J.; Li, Ke; Zhu, K. J.; Liu, H. M.; Xu, C. F.; Ma, H. L.; Sun, T.; Ye, M.; Xie, Y. G.; Zou, B. S.; Chen, H. S.; Cao, N.; Deng, Z. Y.; Ma, Q. M.; Wang, Z. Y.; Cai, X.; Yuan, X. Q.; Zhang, Y. H.; Ma, R. Q.; Shi, R. S.; Zou, J. H.; Zhang, Yao; Liu, J. Y.; Li, W. G.; Wang, Y. Q.; Mo, X. H.; Fang, J.; Shen, X. Y.; Ma, X. Y.; Hu, H. M.; Gong, W. X.; Hu, Y.; Wang, B.; Zhang, B. L.; Wang, Meng; Yang, Y. X.; Zhang, Jianyu; Miao, H.; Li, F.; Pathak, A.; Lu, Z. H.; Yang, H. X.; Qin, Z. H.; Li, G.; Ping, R. G.; Qiu, J. F.; Dai, H. L.; Li, W. D.; Fang, W. X.] Inst High Energy Phys, Beijing 100049, Peoples R China.;[Yuan, L.] Beihang Univ, Beijing 100191, Peoples R China.;[Li, Lei] Beijing Inst Petrochem Technol, Beijing 102617, Peoples R China.;[Jaeger, S.; Fritsch, M.; Heinsius, F. H.; Kuessner, M.; Pelizaeus, M.; Kopf, B.; Keshk, I. K.; Wollenberg, L.; Albrecht, M.; Schnier, C.; de Boer, R. E.; Feldbauer, F.; Wiedner, U.; Kuemmel, M.; Li, J. Q.; Maldaner, S.] Bochum Ruhr Univ, D-44780 Bochum, Germany.;[Briere, R. A.] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA.
摘要：
Based on a sample of 448.1 x 10(6) psi(3686) events collected with the BESIII detector, a study of psi(3686) -> Lambda(Lambda) over bar pi(0) and psi(3686) -> Lambda(Lambda) over bar eta is performed. Evidence of the isospin-violating decay psi(3686) -> Lambda(Lambda) over bar pi(0) is found for the first time with a statistical significance of 3.7 sigma, the branching fraction B(psi(3686) -> Lambda(Lambda) over bar pi(0)) is measured to be (1.42 +/- 0.39 +/- 0.59) x 10(-6), and its corresponding upper limit is determined to be 2.47 x 10(-6) at 90% confidence level. A partial wave analysis of psi(3686) -> Lambda(Lambda) over bar eta shows that the peak around Lambda eta invariant mass threshold favors a Lambda* resonance with mass and width in agreement with the Lambda(1670). The branching fraction of the psi(3686) -> Lambda(Lambda) over bar eta is measured to be (2.34 +/- 0.18 +/- 0.52) x 10(-5). The first uncertainties are statistical and the second are systematic.
期刊：
Reproductive Biology and Endocrinology,2022年20(1):1-13 ISSN：1477-7827
通讯作者：
Yang Xu<&wdkj&>Suyun Li
作者机构：
[Xu, Jie; Meng, Xingqi; Cao, Wenyu; Peng, Lixuan; Guo, Dongming; Li, Suyun] Univ South China, Hengyang Med Sch, Clin Anat & Reprod Med Applicat Inst, Hengyang 421001, Hunan, Peoples R China.;[Xu, Yang] Univ South China, Hengyang Med Sch, Dept Physiol, Hengyang 421001, Hunan, Peoples R China.
通讯机构：
[Yang Xu] D;[Suyun Li] C;Department of Physiology, Hengyang Medical School, University of South China, Hengyang, China<&wdkj&>Clinical Anatomy & Reproductive Medicine Application Institute, Hengyang Medical School, University of South China, Hengyang, China
期刊：
Annals of Nuclear Energy,2022年176:109295 ISSN：0306-4549
通讯作者：
Yang, Chao(yangc066@163.com)
作者机构：
[Chen, Zhenping; Yang, Chao; Yu, Tao] Univ South China, Sch Nucl Sci & Technol, Hengyang 421200, Peoples R China.;[Chen, Zhenping; Yang, Chao; Yu, Tao] Univ South China, Res Ctr Digital Nucl Reactor Engn & Technol Hunan, Hengyang 421200, Peoples R China.;[Deng, Li; Fu, Yuanguang; Li, Zhipeng] Inst Appl Phys & Computat Math, Beijing 100094, Peoples R China.
通讯机构：
[Chao Yang; Tao Yu] S;School of Nuclear Science and Technology, University of South China, Hengyang 421200, China<&wdkj&>Research Center for Digital Nuclear Reactor Engineering and Technology of Hunan Province, University of South China, Hengyang 421200, China
期刊：
Cell Communication and Signaling,2022年20(1):1-1 ISSN：1478-811X
通讯作者：
Zhang, S.;Lei, X.
作者机构：
[Zhang, Shun; Cao, Jianping; Huo, Peng] Guilin Med Univ, Guangxi Key Lab Environm Expos & Entire Lifecycle, Guilin 541199, Peoples R China.;[Cui, Kuiqing; Liu, Qingyou; Cao, Jianping] Guangxi Univ, State Key Lab Conversat & Utilizat Subtrop Agrobi, Nanning 530004, Guangxi, Peoples R China.;[Cao, Junna; Zhang, Shun; Wei, Huimei] Guilin Med Univ, Affiliated Hosp, Med Ctr, Dept Reprod, Guilin 541001, Peoples R China.;[Wang, Jinyuan; Lei, Xiaocan] Univ South China, Clin Anat & Reprod Med Applicat Inst, Dept Histol & Embryol, Hengyang 421001, Peoples R China.
通讯机构：
[Xiaocan Lei] D;[Shun Zhang] G;Department of Histology and Embryology, Clinical Anatomy and Reproductive Medicine Application Institute, University of South China, Hengyang, China<&wdkj&>Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, China<&wdkj&>Department of Reproductive Medical Center, The Affiliated Hospital of Guilin Medical University, Guilin, China
