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Yi M, Tang X, Liang S, He R, Huang T, Lin Q, Zhang R. Effect of microwave alone and microwave-assisted modification on the physicochemical properties of starch and its application in food. Food Chem 2024; 446:138841. [PMID: 38428082 DOI: 10.1016/j.foodchem.2024.138841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 02/16/2024] [Accepted: 02/21/2024] [Indexed: 03/03/2024]
Abstract
Native starch has poor stability and usually requires modification to expand its industrial application range. Commonly used methods are physical, chemical, enzymatic and compound modification. Microwave radiation, as a kind of physical method, is promising due to its uniform energy radiation, greenness, safety, non-toxicity. It can meet the demand of consumers for safe food. Microwave-assisted modification with other methods can directly or indirectly affect the structure of starch granules to obtain modified starch with high degree of substitution and low viscosity, and the modification efficiency is greatly improved. This paper reviews the effect of microwave radiation on the physicochemical properties of starch, such as granule morphology, crystallization characteristics, and gelatinization characteristics, as well as the application of microwave radiation in starch modification and starch food processing. It provides theoretical references and suggestions for the research of microwave heating modified starch and the deep processing of starchy foods.
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Affiliation(s)
- Mingxia Yi
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Academy of Advanced Carbon Conversion Technology, Huaqiao University, Xiamen 361021, China
| | - Xuchong Tang
- Academy of Advanced Carbon Conversion Technology, Huaqiao University, Xiamen 361021, China.
| | - Shaoxiong Liang
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China
| | - Ren He
- Academy of Advanced Carbon Conversion Technology, Huaqiao University, Xiamen 361021, China
| | - Tingting Huang
- Academy of Advanced Carbon Conversion Technology, Huaqiao University, Xiamen 361021, China
| | - Qing Lin
- Ba Ye Cao Health Industry Research Institute (Xiamen) Co., Ltd, Xiamen 361021, China
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Yu W, Guan WM, Hayashi D, Lin Q, Du MM, Xia WB, Wang YXJ, Guermazi A. Vertebral fracture severity assessment on anteroposterior radiographs with a new semi-quantitative technique. Osteoporos Int 2024; 35:831-839. [PMID: 38296865 DOI: 10.1007/s00198-024-07024-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 01/12/2024] [Indexed: 02/02/2024]
Abstract
We developed a new tool to assess the severity of osteoporotic vertebral fracture using radiographs of the spine. Our technique can be used in patient care by helping to stratify patients with osteoporotic vertebral fractures into appropriate treatment pathways. It can also be used for research purposes. PURPOSE The aim of our study was to propose a semi-quantitative (SQ) grading scheme for osteoporotic vertebral fracture (OVF) on anteroposterior (AP) radiographs. METHODS On AP radiographs, the vertebrae are divided into right and left halves, which are graded (A) vertical rectangle, (B) square, (C) traverse rectangle, and (D) trapezoid; whole vertebrae are graded (E) transverse band or (F) bow-tie. Type A and B were compared with normal and Genant SQ grade 1 OVF, Type C and D with grade 2 OVF, and Type E and F with grade 3 OVF. Spine AP radiographs and lateral radiographs of 50 females were assessed by AP radiographs SQ grading. After training, an experienced board-certified radiologist and a radiology trainee assessed the 50 AP radiographs. RESULTS The height-to-width ratio of the half vertebrae varied 1.32-1.48. On lateral radiographs, 84 vertebrae of the 50 patients had OVFs (38 grade 1, 24 grade 2, and 22 grade 3). On AP radiographs, the radiologist correctly assigned 84.2%, 91.7%, and 77.2% and the trainee correctly assigned 68.4%, 79.2%, and 81.8% of grade 1, 2, and 3 OVFs, respectively. Compared with lateral radiographs, the radiologist had a weighted Kappa of 0.944 including normal vertebrae and 0.883 not including normal vertebrae, while the corresponding Kappa values for the trainee were 0.891 and 0.830, respectively. CONCLUSION We propose a new semi-quantitative grading system for vertebral fracture severity assessment on AP spine radiographs.
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Affiliation(s)
- W Yu
- Department of Radiology, Chinese Academy Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
| | - W-M Guan
- Department of Radiology, Chinese Academy Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - D Hayashi
- Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA
| | - Q Lin
- Department of Radiology, Chinese Academy Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
- Department of Radiology, Beijing Arion Cancer Center, Beijing, China
| | - M-M Du
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Zhejiang Province, Wenzhou, China
| | - W-B Xia
- Department of Endocrinology, Chinese Academy Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
| | - Y-X J Wang
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, SAR, China
| | - A Guermazi
- Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA, USA
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Tan X, Zheng D, Lin Q, Wang L, Zhu Z, Huang Y, Lin J, Zeng Y, Mao M, Yi Z, Liu L, Ma D, Wang J, Li X. Confirmation of pain-related neuromodulation mechanism of Bushen Zhuangjin Decoction on knee osteoarthritis. J Ethnopharmacol 2024; 324:117772. [PMID: 38266947 DOI: 10.1016/j.jep.2024.117772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 01/06/2024] [Accepted: 01/11/2024] [Indexed: 01/26/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Bushen Zhuangjin Decoction (BZD) are an herbal compound commonly used to treat osteoarthritis (OA) in China. AIM OF THE STUDY This study aimed to verify the mechanism of Bushen Zhuangjin Decoction in relieving the pain of knee osteoarthritis. MATERIALS AND METHODS Network pharmacology evaluation was used to discover the potential targets of BZD to relieve pain in KOA. The therapeutic effects of BZD treatment on KOA pain using histomorphology, behavioral assessments, suspension chip analysis, and ultra-high performance liquid chromatography/tandem mass spectrometry (UHPLC-MS/MS) assays. The functional magnetic resonance imaging was used to explore the effects of BZD treatment on brain function associated to KOA. RESULTS Network pharmacological analysis revealed the association between the analgesic effect of BZD on KOA and the pain signaling neurotransmitter 5-HT. Subsequently, we conducted experiments to verify the therapeutic effect of BZD on pain in KOA animal models. Behavioral tests demonstrated that the pain threshold of knee osteoarthritis rats decreased in PWT and PWL, but BZD was able to increase the pain threshold. Histopathological staining indicated thinning of the cartilage layer and sparse trabeculae in the subchondral bone. Suspension chip analysis revealed a significant increase in pro-inflammatory factors of IL-1α, IL-5, IL-12, IL-17A, RANTES, TNF-α and M-CSF in KOA, along with a significant decrease in anti-inflammatory factor of IL-13. However, BZD treatment decreased the expression of pro-inflammatory factors and increased the content of anti-inflammatory factor. UHPLC-MS/MS analysis showed a significant decrease in the serum levels of GABA, E, GSH, Kyn, Met, and VMA in KOA, which were significantly increased by BZD. Conversely, the serum levels of TrpA, TyrA, Spd, and BALa were significantly increased in KOA and significantly decreased by BZD. ELISA and Western blot analysis showed increased expression of subchondral bone pain-related neuropeptides SP, CGRP, TH, NPY, VEGFA, 5-HT3 in KOA, which were decreased in BZD. Functional magnetic resonance imaging demonstrated that BZD exerts its therapeutic effect on KOA by modulating the activity and functional connections of the cortex, hypothalamus, and hippocampus. CONCLUSIONS This study confirmed the significant role of pain-related neuromodulation mechanisms in the analgesic therapy of BZD and provides a theoretical foundation for using BZD as a traditional Chinese medical treatment for KOA pain.
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Affiliation(s)
- Xue Tan
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China; Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Danhao Zheng
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Qing Lin
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Lili Wang
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China; Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Zaishi Zhu
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Yanfeng Huang
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Jiaqiu Lin
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Yihui Zeng
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Min Mao
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Zhouping Yi
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Linglong Liu
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Dezun Ma
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China; Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Jie Wang
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China; Institute of Neuroscience and Brain Diseases, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China; Shanghai Key Laboratory of Emotions and Affective Disorders (LEAD), Songjiang Research Institute, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xihai Li
- Academy of Integrative Medicine, College of Integrative Medicine, Affiliated Third People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China; Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China.
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Su Y, Otake KI, Zheng JJ, Wang P, Lin Q, Kitagawa S, Gu C. Diffusion-rate sieving of propylene and propane mixtures in a cooperatively dynamic porous crystal. Nat Commun 2024; 15:2898. [PMID: 38575596 PMCID: PMC10995200 DOI: 10.1038/s41467-024-47268-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 03/26/2024] [Indexed: 04/06/2024] Open
Abstract
Selective molecular recognition is an important alternative to the energy-intensive industrial separation process. Porous coordination polymers (PCPs) offer designing platforms for gas separation because they possess precise controllability over structures at the molecular level. However, PCPs-based gas separations are dominantly achieved using strong adsorptive sites for thermodynamic recognition or pore-aperture control for size sieving, which suffer from insufficient selectivity or sluggish kinetics. Developing PCPs that work at high temperatures and feature both high uptake capacity and selectivity is urgently required but remains challenging. Herein, we report diffusion-rate sieving of propylene/propane (C3H6/C3H8) at 300 K by constructing a PCP material whose global and local dynamics cooperatively govern the adsorption process via the mechanisms of the gate opening for C3H6 and the diffusion regulation for C3H8, respectively, yielding substantial differences in both uptake capacity and adsorption kinetics. Dynamic separation of an equimolar C3H6/C3H8 mixture reveals outstanding sieving performance with a C3H6 purity of 99.7% and a separation factor of 318.
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Affiliation(s)
- Yan Su
- State Key Laboratory of Luminescent Materials and Devices, Institute of Polymer Optoelectronic Materials and Devices, South China University of Technology, Guangzhou, 510640, P. R. China
| | - Ken-Ichi Otake
- Institute for Integrated Cell-Material Sciences, Kyoto University, Yoshida, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Jia-Jia Zheng
- Laboratory of Theoretical and Computational Nanoscience, National Center for Nanoscience and Technology, Chinese Academy of Sciences, Beijing, 100190, P. R. China
| | - Ping Wang
- College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Qing Lin
- ReadCrystal Biotech Co., Ltd., Suzhou, 215505, P. R. China
| | - Susumu Kitagawa
- Institute for Integrated Cell-Material Sciences, Kyoto University, Yoshida, Sakyo-ku, Kyoto, 606-8501, Japan.
| | - Cheng Gu
- State Key Laboratory of Luminescent Materials and Devices, Institute of Polymer Optoelectronic Materials and Devices, South China University of Technology, Guangzhou, 510640, P. R. China.
- College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu, 610065, P. R. China.
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Ling Y, Wu J, Liu Y, Meng P, Sun Y, Zhao D, Lin Q. Establishment of a Diamond-Blackfan anemia like model in zebrafish. Dev Dyn 2024. [PMID: 38450920 DOI: 10.1002/dvdy.703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 02/03/2024] [Accepted: 02/19/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Anemia is defined as a lack of erythrocytes, low hemoglobin levels, or abnormal erythrocyte morphology. Diamond-Blackfan anemia (DBA) is a rare and severe congenital hypoplastic anemia that occurs due to the dominant inheritance of a ribosomal protein gene mutation. Even rarer is a case described as Diamond-Blackfan anemia like (DBAL), which occurs due to a loss-of-function EPO mutation recessive inheritance. The effective cures for DBAL are bone marrow transfusion and treatment with erythropoiesis-stimulating agents (ESAs). To effectively manage the condition, construction of DBAL models to identify new medical methods or screen drugs are necessary. RESULTS Here, an epoa-deficient mutant zebrafish called epoaszy8 was generated to model DBAL. The epoa-deficiency in zebrafish caused developmental defects in erythroid cells, leading to severe congenital anemia. Using the DBAL model, we validated a loss-of-function EPO mutation using an in vivo functional analysis and explored the ability of ESAs to alleviate congenital anemia. CONCLUSIONS Together, our study demonstrated that epoa deficiency in zebrafish leads to a phenotype resembling DBAL. The DBAL zebrafish model was found to be beneficial for the in vivo assessment of patient-derived EPO variants with unclear implications and for devising potential therapeutic approaches for DBAL.
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Affiliation(s)
- Yiming Ling
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, China
| | - Jiaye Wu
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yushi Liu
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, China
| | - Panpan Meng
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, China
| | - Ying Sun
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, China
| | - Dejian Zhao
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Qing Lin
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, China
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Lin Q, Mu YJ, Song Y, Wang H. [A retrospective cohort study on the correlation between early energy management and bronchopulmonary dysplasia in premature infants]. Zhonghua Er Ke Za Zhi 2024; 62:239-244. [PMID: 38378285 DOI: 10.3760/cma.j.cn112140-20230918-00198] [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: 02/22/2024]
Abstract
Objective: To investigate the correlation between early energy supplement and bronchopulmonary dysplasia (BPD) in very preterm and very low birth weight infants. Methods: A retrospective cohort study design was used. A total of 939 preterm infants who were admitted to the Department of Neonatology of the West China Second Hospital of Sichuan University within 24 h after birth from January 2019 to December 2021 were enrolled in the study. They were born with a gestational age of <32 weeks and (or) a birth weight of <1 500 g. Of them, 250 preterm infants who developed BPD were enrolled in the BPD group, and each of them was matched to a preterm infant who did not develop BPD (matched for gestational age and birth weight) in the order of priority after calculating propensity score. Their total energy, enteral energy, parenteral energy, total fluid intake and energy per unit of fluid per week were collected within the first 2 weeks of life. The independent sample t-test or Mann Whitney U test was used for continuous variables, and the χ2 test for between-group comparisons of categorical variables. Univariate and multivariate Logistic regression analyses were used to explore the association between total energy and total fluid and BPD incidence, respectively. The dose-response relationship between parenteral energy and BPD was investigated by a generalized additive model, and the threshold effect of parenteral energy on BPD used a two-piecewise linear regression model. Results: The gestational age was (28.4±1.9) weeks in the BPD group and (29.5±1.3) weeks in the control group; the birth weight was (1 107±258) g in the BPD group and (1 324±261) g in the control group; and there were 140 males (56.0%) and 131 males (52.4%) in each group, respectively. An increase in energy per unit of fluid in the second week of life was associated with a reduced risk of BPD (OR=0.32, 95%CI 0.12-0.84, P=0.021), and an increase in total energy in the second week of life was also associated with a reduced risk of BPD, with total energy of >418-502 kJ/(kg·d) was significantly lower than when total energy was ≤334 kJ/(kg·d) (OR=0.15, 95%CI 0.03-0.85, P=0.033). There was no association between the average total fluid intake and BPD incidence (both P>0.05) in the first and second week. The increase in the proportion of parenteral energy to total energy in the second week of life was associated with an increased incidence of BPD (OR=8.45, 95%CI 2.14-33.32, P=0.003); specifically, the risk of BPD significantly increased when the parenteral energy was ≥305 kJ/(kg·d) (OR=1.02, 95%CI 1.01-1.03, P=0.003). Conclusions: Maintaining a high total energy supply in the early postnatal period in preterm infants may reduce the risk of BPD, but continued reliance on high parenteral energy to meet total energy requirements increases the risk of BPD, so enteral feeds should be initiated as early as possible and maximized as tolerated.
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Affiliation(s)
- Q Lin
- Department of Neonatology, West China Second Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Disease of Women and Children, Ministry of Education, Chengdu 610041, China
| | - Y J Mu
- Department of Neonatology, West China Second Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Disease of Women and Children, Ministry of Education, Chengdu 610041, China
| | - Y Song
- Department of Neonatology, West China Second Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Disease of Women and Children, Ministry of Education, Chengdu 610041, China
| | - H Wang
- Department of Neonatology, West China Second Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Disease of Women and Children, Ministry of Education, Chengdu 610041, China
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Wu J, Fang J, Yuan X, Ma L, Zheng L, Lin Q, An X, Wang Z, Ma Q. Associations of type 2 diabetes and the risk of migraine in Chinese populations. Diabetes Metab 2024; 50:101518. [PMID: 38272255 DOI: 10.1016/j.diabet.2024.101518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/11/2023] [Accepted: 01/07/2024] [Indexed: 01/27/2024]
Abstract
AIM We aimed to explore the relationship between type 2 diabetes mellitus (T2DM) and the incidence rate of migraine in a Chinese population, and analyze the clinical characteristics of migraine patients with T2DM. METHODS Data on the study cohort of 9873 individuals were obtained from the China Health and Retirement Longitudinal Study (CHARLS). The incidence rate of migraine from 2015 to 2018 was assessed. The Cox proportional hazards model was used to estimate hazard ratios (HRs) and their 95% confidence intervals (CIs) for the relationship between T2DM and the incidence of migraine. In addition, a cross-sectional study including 168 migraine patients was conducted in Xiamen, China. Migraine patients were grouped according to their T2DM status. Multivariable linear regression models were used to estimate βs and their 95% CIs for the relationship between migraine characteristics and T2DM. RESULTS The cumulative incidence rate of migraine from 2015 to 2018 in the T2DM group and control group was 7.26% [6.04%.8.65%] and 8.91% [8.27%.9.58%], respectively. The risk of migraine in patients with T2DM was reduced by 21% (HR 0.79 [0.65;0.95]) compared to patients with no T2DM after adjustment for confounders. The cross-sectional study showed that the presence of T2DM significantly reduced migraine frequency and relieved migraine intensity. CONCLUSION This was the first study to validate that T2DM reduced the risk of migraine in a Chinese population cohort. Patients with migraine and T2DM may experience significant relief from their headache symptoms. Carrying out relevant mechanistic research may help to identify new targets for migraine treatment and contribute to further understanding the impact of T2DM or related metabolic disorders on an individual's health.
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Affiliation(s)
- Jielong Wu
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; School of Medicine, Xiamen University, China; National Institute for Data Science in Health and Medicine, Xiamen University, China
| | - Jie Fang
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; The School of Clinical Medicine, Fujian Medical University, China; Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, China; Xiamen Key Laboratory of Brain Center, China; Xiamen Medical Quality Control Center for Neurology, China; Fujian Provincial Clinical Research Center for Brain Diseases, China; Xiamen Clinical Research Center for Neurological Diseases, China
| | - Xiaodong Yuan
- Department of Gynecology of Xiamen Maternal and Child Health Care Hospital, China
| | - Lingshan Ma
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; School of Medicine, Xiamen University, China; National Institute for Data Science in Health and Medicine, Xiamen University, China
| | - Liangcheng Zheng
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; The School of Clinical Medicine, Fujian Medical University, China; Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, China; Xiamen Key Laboratory of Brain Center, China; Xiamen Medical Quality Control Center for Neurology, China; Fujian Provincial Clinical Research Center for Brain Diseases, China; Xiamen Clinical Research Center for Neurological Diseases, China
| | - Qing Lin
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; The School of Clinical Medicine, Fujian Medical University, China; Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, China; Xiamen Key Laboratory of Brain Center, China; Xiamen Medical Quality Control Center for Neurology, China; Fujian Provincial Clinical Research Center for Brain Diseases, China; Xiamen Clinical Research Center for Neurological Diseases, China
| | - Xingkai An
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; The School of Clinical Medicine, Fujian Medical University, China; Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, China; Xiamen Key Laboratory of Brain Center, China; Xiamen Medical Quality Control Center for Neurology, China; Fujian Provincial Clinical Research Center for Brain Diseases, China; Xiamen Clinical Research Center for Neurological Diseases, China
| | - Zhanxiang Wang
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, China; Xiamen Key Laboratory of Brain Center, China; Xiamen Medical Quality Control Center for Neurology, China; Fujian Provincial Clinical Research Center for Brain Diseases, China; Xiamen Clinical Research Center for Neurological Diseases, China; School of Medicine, Xiamen University, China; National Institute for Data Science in Health and Medicine, Xiamen University, China; Department of Neurosurgery and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Qilin Ma
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; The School of Clinical Medicine, Fujian Medical University, China; Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, China; Xiamen Key Laboratory of Brain Center, China; Xiamen Medical Quality Control Center for Neurology, China; Fujian Provincial Clinical Research Center for Brain Diseases, China; Xiamen Clinical Research Center for Neurological Diseases, China; School of Medicine, Xiamen University, China; National Institute for Data Science in Health and Medicine, Xiamen University, China.
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Fang J, Wu J, Hong G, Zheng L, Yu L, Liu X, Lin P, Yu Z, Chen D, Lin Q, Jing C, Zhang Q, Wang C, Zhao J, Yuan X, Wu C, Zhang Z, Guo M, Zhang J, Zheng J, Lei A, Zhang T, Lan Q, Kong L, Wang X, Wang Z, Ma Q. Cancer screening in hospitalized ischemic stroke patients: a multicenter study focused on multiparametric analysis to improve management of occult cancers. EPMA J 2024; 15:53-66. [PMID: 38463627 PMCID: PMC10923752 DOI: 10.1007/s13167-024-00354-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/02/2024] [Indexed: 03/12/2024]
Abstract
Background/aims The reciprocal promotion of cancer and stroke occurs due to changes in shared risk factors, such as metabolic pathways and molecular targets, creating a "vicious cycle." Cancer plays a direct or indirect role in the pathogenesis of ischemic stroke (IS), along with the reactive medical approach used in the treatment and clinical management of IS patients, resulting in clinical challenges associated with occult cancer in these patients. The lack of reliable and simple tools hinders the effectiveness of the predictive, preventive, and personalized medicine (PPPM/3PM) approach. Therefore, we conducted a multicenter study that focused on multiparametric analysis to facilitate early diagnosis of occult cancer and personalized treatment for stroke associated with cancer. Methods Admission routine clinical examination indicators of IS patients were retrospectively collated from the electronic medical records. The training dataset comprised 136 IS patients with concurrent cancer, matched at a 1:1 ratio with a control group. The risk of occult cancer in IS patients was assessed through logistic regression and five alternative machine-learning models. Subsequently, select the model with the highest predictive efficacy to create a nomogram, which is a quantitative tool for predicting diagnosis in clinical practice. Internal validation employed a ten-fold cross-validation, while external validation involved 239 IS patients from six centers. Validation encompassed receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and comparison with models from prior research. Results The ultimate prediction model was based on logistic regression and incorporated the following variables: regions of ischemic lesions, multiple vascular territories, hypertension, D-dimer, fibrinogen (FIB), and hemoglobin (Hb). The area under the ROC curve (AUC) for the nomogram was 0.871 in the training dataset and 0.834 in the external test dataset. Both calibration curves and DCA underscored the nomogram's strong performance. Conclusions The nomogram enables early occult cancer diagnosis in hospitalized IS patients and helps to accurately identify the cause of IS, while the promotion of IS stratification makes personalized treatment feasible. The online nomogram based on routine clinical examination indicators of IS patients offered a cost-effective platform for secondary care in the framework of PPPM. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-024-00354-8.
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Affiliation(s)
- Jie Fang
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
| | - Jielong Wu
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- School of Medicine, Xiamen University, Xiamen, China
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Ganji Hong
- Cerebrovascular Interventional Department, Zhangzhou Hospital of Fujian Province, Zhangzhou, China
| | - Liangcheng Zheng
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Lu Yu
- Department of Neurology, Changxing People’s Hospital, Huzhou, China
| | - Xiuping Liu
- Department of Neurology, The Jilin Center Hospital, Jilin, China
| | - Pan Lin
- Department of Neurology, The Second Hospital of Longyan City, Longyan, China
| | - Zhenzhen Yu
- Department of Neurology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China
| | - Dan Chen
- Department of Neurology, Xiamen Haicang Hospital, Xiamen, China
| | - Qing Lin
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Chuya Jing
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Qiuhong Zhang
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Chen Wang
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Jiedong Zhao
- School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Xiaodong Yuan
- Department of Gynecology of Xiamen Maternal and Child Health Care Hospital, Xiamen, China
| | - Chunfang Wu
- Department of Neurology, Huaihe Hospital, Henan University, Huaihe, China
| | - Zhaojie Zhang
- Department of Neurology, Kaifeng Hospital of Traditional Chinese Medicine, Kaifeng, China
| | - Mingwei Guo
- Department of Neurology, First Affiliated Hospital of Gannan Medical University, Gannan, China
| | - Junde Zhang
- Department of Neurology, First Affiliated Hospital of Gannan Medical University, Gannan, China
| | - Jingjing Zheng
- Department of Neurology, Ningde Municipal Hospital of Ningde Normal University, Ningde, China
| | - Aidi Lei
- Department of Neurology, The Fifth Hospital of Xiamen, Xiamen, China
| | - Tengkun Zhang
- Department of Neurology, The Fifth Hospital of Xiamen, Xiamen, China
| | - Quan Lan
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | | | - Xinrui Wang
- NHC Key Laboratory of Technical Evaluation of Fertility Regulation for Non-Human Primate (Fujian Maternity and Child Health Hospital), No. 19 Jinjishan Road, Jin’an District, Fuzhou, 350013 China
- Medical Research Center, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Maternityand Child Health Hospital, Fujian Medical University, Fuzhou, China
| | - Zhanxiang Wang
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- Department of Neurosurgery and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
| | - Qilin Ma
- Department of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, 55 Zhenhai Road, Xiamen, 361003 China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
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Huang X, Li Q, Lin Q, Jiang C, Liao Y, Wang B, Li T. A Case Report of Corynebacterium Tuberculostearicum Infection. Clin Lab 2024; 70. [PMID: 38469769 DOI: 10.7754/clin.lab.2023.230809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
BACKGROUND The goal was to report a rare case of lymphadenitis caused by Corynebacterium tuberculostearicum, and the laboratory's coping approach in the isolation and identification of this rare pathogen to improve the understanding of the disease. METHODS Lymph node biopsy was performed in a patient with suspected tuberculous lymphadenitis, and the biopsy tissue was isolated and cultured. RESULTS The culture was Gram positive Corynebacterium, which was identified as Corynebacterium tuberculostearicum by microbial mass spectrometry and 16S rRNA gene sequencing. Antimicrobial susceptibility test showed that the drug was sensitive to daptomycin, doxycycline, gentamicin, linezolid, vancomycin, and meropenem, but resistant to ciprofloxacin, clindamycin, erythromycin, rifampicin, compound sulfamethoxazole, ceftriaxone, and cefepime. CONCLUSIONS This is a case of Corynebacterium tuberculostearicum infection. Case reports of Corynebacterium tuberculostearicum infection are relatively rare in China. Through case study, we can provide help for laboratory isolation, identification, clinical diagnosis, and treatment.
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10
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Chen S, Wang X, Lin Q. Spatial pattern characteristics and influencing factors of mountainous rural settlements in metropolitan fringe area: A case study of Pingnan County, Fujian Province. Heliyon 2024; 10:e26606. [PMID: 38420421 PMCID: PMC10900779 DOI: 10.1016/j.heliyon.2024.e26606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 02/07/2024] [Accepted: 02/15/2024] [Indexed: 03/02/2024] Open
Abstract
Amid global industrialization and urbanization, mountainous rural settlements, especially those in metropolitan fringe area, are experiencing significant spatial changes in location and scale. This study takes Pingnan County, Fujian Province, China, as an example. Utilizing land use data and employing methods including standard deviation ellipse, average nearest neighbor index, kernel density estimation, spatial hotspot detection, binary logistic regression model, and Geodetector, this study aims to scientifically identify the spatial pattern characteristics and influencing factors of its settlements. The results show that: (1) The spatial distribution of settlements in Pingnan County is biased toward the southern part of the county; the center of settlement's spatial distribution is located south of the junction of Gufeng Town and Pingcheng Town; the spatial distribution trend of settlements is north-east-southwest. Settlements are generally aggregated, and the aggregation degree of Gufeng Town is obviously lower than that of other towns. (2) The density distribution of settlements presents a "core-periphery" structure and a "north-south linear" structure in space; the spatial pattern characteristics show high-density, large patches in Gufeng Town, high-density, small patches in Changqiao Town, Tangkou Town and Gantang Town, and medium-density or low-density, small patches in other towns. (3) Settlement location is mainly affected by the elevation, distance to cultivated land, and distance to main roads, while settlement scale is mainly affected by slope, relief degree of land surface, and distance to urban centers. The interaction between these factors exhibits enhancement effects, with natural terrain and location conditions exerting the most prominent influence. These findings underscore the strong constraints posed by natural topography on mountainous rural settlements in metropolitan fringe areas, coupled with a more pronounced influence from socio-economic factors. The study's results hold significant implications for optimizing the layout of such settlements, guiding land spatial planning, and promoting rural revitalization.
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Affiliation(s)
- Song Chen
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China
| | - Xiyue Wang
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China
| | - Qing Lin
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China
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11
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Sun S, Sui X, Yu H, Zheng Y, Zhu X, Wu X, Li Y, Lin Q, Zhang Y, Ye W, Liang Y. High Tribocatalytic Performance of FeOOH Nanorods for Degrading Organic Dyes and Antibiotics. Small Methods 2024:e2301784. [PMID: 38415975 DOI: 10.1002/smtd.202301784] [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: 12/25/2023] [Revised: 02/14/2024] [Indexed: 02/29/2024]
Abstract
Tribocatalysis is vitally important for electrochemistry, energy conservation, and water treatment. Exploring eco-friendly and low-cost tribocatalysts with high performance is crucial for practical applications. Here, the highly efficient tribocatalytic performance of FeOOH nanorods is reported. The factors related to the tribocatalytic activity such as nanorod diameter, surface area, and surface roughness are investigated, and the diameter of the FeOOH nanorods is found to have a significant effect on their tribocatalytic performance. As a result, under ultrasonic excitation, the optimized FeOOH nanorods exhibit superior tribocatalytic degradation toward rhodamine B (RhB), acid orange 7, methylene blue, methyl orange dyes, and their mixture. The RhB and mixed dyes are effectively degraded within 20 min (k = 0.179 min-1 ) and 35 min (k = 0.089 min-1 ), respectively, with the FeOOH nanorods showing excellent reusability. Moreover, antibiotics, such as tetracycline hydrochloride, phenol, and bisphenol A are efficiently degraded. Investigation of the catalytic mechanism reveals that the friction-generated h+ as well as these yielded •OH and •O2 - active radicals participate in the catalytic reaction. This work not only shed light on the design of high-performance tribocatalyst but also demonstrates that by harvesting mechanical energy, the FeOOH nanorods are promising materials for removing organic contaminants in wastewater.
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Affiliation(s)
- Shiyu Sun
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Xiaohui Sui
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Haimiao Yu
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Ying Zheng
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Xiaoting Zhu
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Xinyan Wu
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Yanqiang Li
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Qing Lin
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Yongcheng Zhang
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
| | - Wanneng Ye
- State Key Laboratory of Bio-fibers and Eco-textiles, College of Physics, Qingdao University, Qingdao, 266071, P. R. China
- Department of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, NY, 12222, USA
| | - Yanna Liang
- Department of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, NY, 12222, USA
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12
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Lin Q, Liang C, Du B, Li L, Li H, Mai X, Li S, Xu W, Wu C, Zeng M. Prenatal detection and molecular cytogenetic characterization of Xp deletion and Xq duplication: a case report and literature review. BMC Med Genomics 2024; 17:57. [PMID: 38383389 PMCID: PMC10880359 DOI: 10.1186/s12920-024-01824-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/06/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Copy number variation (CNV) of X chromosome can lead to a variety of neonatal abnormalities, especially for male fetuses. In recent years, due to the high sensitivity and high specificity of NIPS, its application has gradually expanded from chromosome aneuploidy to CNV. Few prenatal cases involving the detection of Xq duplication and deletion by NIPS have been reported, but it is of great significance for genetic counseling. CASE PRESENTATION A 36-year-old woman was referred for prenatal diagnosis and genetic counseling at 17 weeks of gestation because of abnormal result of noninvasive prenatal screening (NIPS). Multiple congenital malformations, hydrocephalus, and enlarged gallbladder were observed by prenatal ultrasound. Amniocentesis revealed the karyotype of the fetus as 46, XN, add(X) (p22.2) and the result of chromosomal microarray analysis was arr[hg19] Xq27.1q28(138,506,454-154896094) × 2 and arr[hg19] Xp22.33p22.32(168,551-5,616,964) × 1. CNV-seq showed that the mother shares a 16.42 Mb duplication in the Xq27.1-q28 region and a 2.97 Mb deletion in the Xp22.33-p22.32 region. After genetic counseling, the couple chose to terminate the pregnancy. CONCLUSION The combination of NIPS and CMA would be of values in detection of subchromosomal duplications and/or deletions at fetal stage. The detection of X chromosome aberration in a male fetus should give suspicion of the possibility of maternal inheritance.
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Affiliation(s)
- Qing Lin
- Center of Prenatal Diagnosis, Zhanjiang Maternity and Child Health Care Hospital, Zhanjiang, China.
| | - Chunya Liang
- Center of Prenatal Diagnosis, Zhanjiang Maternity and Child Health Care Hospital, Zhanjiang, China
| | - Bole Du
- Guangzhou Jingke Biotechnology Co., Ltd, Guangzhou, P. R. China
| | - Lijiao Li
- Center of Prenatal Diagnosis, Zhanjiang Maternity and Child Health Care Hospital, Zhanjiang, China
| | - Hong Li
- Guangzhou Jingke Biotechnology Co., Ltd, Guangzhou, P. R. China
| | - Xiaolan Mai
- Center of Prenatal Diagnosis, Zhanjiang Maternity and Child Health Care Hospital, Zhanjiang, China
| | - Sheng Li
- Guangzhou Jingke Biotechnology Co., Ltd, Guangzhou, P. R. China
| | - Wenyu Xu
- Center of Prenatal Diagnosis, Zhanjiang Maternity and Child Health Care Hospital, Zhanjiang, China
| | - Cunzhen Wu
- Center of Prenatal Diagnosis, Zhanjiang Maternity and Child Health Care Hospital, Zhanjiang, China
| | - Mi Zeng
- Guangzhou Jingke Biotechnology Co., Ltd, Guangzhou, P. R. China
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Huang Z, Xu Y, Qiu Z, Jiang Y, Wu J, Lin Q, He S, Qu JY, Chen J, Xu J. Caudal hematopoietic tissue supports definitive erythrocytes via epoa and is dispensable for definitive neutrophils. J Genet Genomics 2024:S1673-8527(24)00030-4. [PMID: 38360348 DOI: 10.1016/j.jgg.2024.02.001] [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: 12/06/2023] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 02/17/2024]
Affiliation(s)
- Zhujuan Huang
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Yongtai Xu
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Zhongkai Qiu
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Yunyun Jiang
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Jiaye Wu
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Qing Lin
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Sicong He
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Jianan Y Qu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hongkong 999077, China
| | - Jiahao Chen
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China.
| | - Jin Xu
- Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China.
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Wang D, Xu SH, Shao MY, Lin Q. [Characteristics and Mechanism of Cd Release and Transport in Soil Contaminated with PE-Cd]. Huan Jing Ke Xue 2024; 45:1069-1079. [PMID: 38471944 DOI: 10.13227/j.hjkx.202303045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Microplastics (MPs) are a type of emerging contaminants that pose a potential threat to global terrestrial ecosystems. The accumulation of MPs in soil inevitably affects soil physical and chemical properties, both directly and indirectly. Additionally, owing to their small size and surface features, MPs have excellent sorption capacity for both organic and inorganic materials, thus affecting their fate in the environment. However, the influence of MPs on heavy metal sorption and transport in soil is still not fully understood. In this study, polyethylene (PE) and Cd were selected as research objects, and on the basis of clarifying the adsorption mechanism of Cd on PE MPs, the effects of PE concentration and particle size on Cd release and transport behavior in soil under different ionic strengths and types (Ca2+ and Na+) were studied using column leaching experiments. The results of the batch experiments showed that the adsorption capacity of PE MPs for Cd2+ decreased with the increase in particle size. Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and Zeta potential were used to analyze the properties of PE MPs and adsorption behavior of Cd2+ onto MPs. The adsorption was mainly a physical process and was controlled by intra-particle diffusion. The adsorption kinetics could be described well by the quasi-second-order kinetics and Webber-Morris model. The adsorption isotherm conformed to the Langmuir model, indicating monolayer adsorption. The results of leaching experiments showed that the effect of PE MPs on Cd release and transport in soil was related to the CaCl2 concentration. At high ionic strength (0.05 mol·L-1 and 0.1 mol·L-1), PE promoted the transport of Cd. The effluent concentration of Cd2+ increased from 6.48 mg·L-1 and 16.79 mg·L-1 to 7.12 mg·L-1 and 23.45 mg·L-1, whereas at low ionic strength (0.01 mol·L-1), Cd transport was inhibited by PE MPs, and the effluent concentration of Cd2+ decreased from 0.66 mg·L-1 to 0.57 mg·L-1. The larger the amount of PE added, the more significant the promoting or inhibiting effect. Additionally, the release and transport of Cd in soil were also affected by the MPs particle size and concentration. When the addition amount was small (1%, 4%), the large-sized MPs were more conducive to the transport of Cd in soil. When the addition amount was large (7%, 20%), MPs with small particle sizes promoted Cd2+ transport more significantly. When the leaching solution used was NaCl, soil permeability decreased significantly. PE MPs had no significant effect on Cd release and transport but changed the stability of soil aggregates. In conclusion, PE MPs could change the release and transport behavior of Cd in soil, and the impact results were not only related to the particle size and content of MPs but were also influenced by the chemical properties of the soil solution.
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Affiliation(s)
- Di Wang
- School of Environmental Science and Engineering, Qingdao University, Qingdao 266071, China
| | - Shao-Hui Xu
- School of Environmental Science and Engineering, Qingdao University, Qingdao 266071, China
| | - Ming-Yan Shao
- Qingdao Geo-Engineering Surveying Institute(Qingdao Geological Exploration Development Bureau), Qingdao 266101, China
| | - Qing Lin
- School of Environmental Science and Engineering, Qingdao University, Qingdao 266071, China
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15
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Luo W, Zhou Y, Wang J, Wang K, Lin Q, Li Y, Xie Y, Li M, Wang J, Xiong L. YTHDF1's Regulatory Involvement in Breast Cancer Prognosis, Immunity, and the ceRNA Network. Int J Mol Sci 2024; 25:1879. [PMID: 38339157 PMCID: PMC10856278 DOI: 10.3390/ijms25031879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/17/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
YTH N6-methyladenosine RNA binding protein 1 (YTHDF1), an m6A reader, has a role in the development and progression of breast cancer as well as the immunological microenvironment. The networks of competing endogenous RNA in cancer have received much attention in research. In tumor gene therapy, the regulatory networks of m6A and competing endogenous RNA are increasingly emerging as a new route. We evaluated the relationship between the YTHDF1 expression, overall survival, and clinicopathology of breast cancer using TCGA, PrognoScan, and other datasets. We used Western blot to demonstrate that YTHDF1 is substantially expressed in breast cancer tissues. Furthermore, we explored YTHDF1's functions in the tumor mutational burden, microsatellite instability, and tumor microenvironment. Our findings indicate that YTHDF1 is a critical component of the m6A regulatory proteins in breast cancer and may have a particular function in the immunological microenvironment. Crucially, we investigated the relationship between YTHDF1 and the associated competitive endogenous RNA regulatory networks, innovatively creating three such networks (Dehydrogenase/Reductase 4-Antisense RNA 1-miR-378g-YTHDF1, HLA Complex Group 9-miR-378g-YTHDF1, Taurine Up-regulated 1-miR-378g-YTHDF1). Furthermore, we showed that miR-378g could inhibit the expression of YTHDF1, and that miR-378g/YTHDF1 could impact MDA-MB-231 proliferation. We speculate that YTHDF1 may serve as a biomarker for poor prognosis and differential diagnosis, impact the growth of breast cancer cells via the ceRNA network axis, and be a target for immunotherapy against breast cancer.
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Affiliation(s)
- Wenting Luo
- Department of Pathophysiology, Medical College, Nanchang University, 461 Bayi Road, Nanchang 330006, China
- Second Clinical Medical College, Nanchang University, Nanchang 330006, China
| | - Youjia Zhou
- Department of Pathophysiology, Medical College, Nanchang University, 461 Bayi Road, Nanchang 330006, China
| | - Jiayang Wang
- First Clinical Medical College, Nanchang University, Nanchang 330006, China
| | - Keqin Wang
- First Clinical Medical College, Nanchang University, Nanchang 330006, China
| | - Qing Lin
- Department of Pathophysiology, Medical College, Nanchang University, 461 Bayi Road, Nanchang 330006, China
| | - Yuqiu Li
- Queen Mary School, Nanchang University, Nanchang 330006, China
| | - Yujie Xie
- College of Pharmacy, Nanchang University, Nanchang 330006, China
| | - Miao Li
- Second Clinical Medical College, Nanchang University, Nanchang 330006, China
| | - Jie Wang
- Key Laboratory of Functional and Clinical Translational Medicine, Xiamen Medical College, Fujian Province University, Xiamen 361023, China
| | - Lixia Xiong
- Department of Pathophysiology, Medical College, Nanchang University, 461 Bayi Road, Nanchang 330006, China
- Key Laboratory of Functional and Clinical Translational Medicine, Xiamen Medical College, Fujian Province University, Xiamen 361023, China
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16
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Dai XM, Jiang L, Xu QY, Zhu Y, Lin Q, Shen YY, Li XZ. [A case of juvenile systemic lupus erythematosus with autoimmune hypophysitis]. Zhonghua Er Ke Za Zhi 2024; 62:177-179. [PMID: 38264820 DOI: 10.3760/cma.j.cn112140-20231020-00306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Affiliation(s)
- X M Dai
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - L Jiang
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - Q Y Xu
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - Y Zhu
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - Q Lin
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - Y Y Shen
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - X Z Li
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
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17
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You R, Liu YP, Chen XZ, Chen JH, Chan JYW, Fang JG, Hu CS, Han YQ, Han F, Hu GY, Jiang Y, Jiang WH, Kong L, Li JG, Lin Q, Liu Y, Liu YH, Lu YT, Ng WT, Man PK, Sun JW, Tao L, Yi JL, Zhu XD, Wen WP, Chen MY, Han DM. Surgical treatment of nasopharyngeal cancer - a consensus recommendation from two Chinese associations. Rhinology 2024; 62:23-34. [PMID: 37902657 DOI: 10.4193/rhin23.054] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
BACKGROUND Surgical treatment is playing an increasingly important role in the management of nasopharyngeal carcinoma (NPC). This consensus focuses on the indications for optimal surgery, and surgical methods in the whole process of treatment for NPC to provide a useful reference to assist these difficult clinical decisions. METHODOLOGY A thorough review of available literature on NPC and surgery was conducted by the Association for the prevention and treatment of nasopharyngeal carcinoma in China, international exchange and promotion Association for medicine and healthcare, and the Committee on nasopharyngeal cancer of Guangdong provincial anticancer association. A set of questions and a preliminary draft guideline was circulated to a panel of 1096 experienced specialists on this disease for voting on controversial areas and comments. A refined second proposal, based on a summary of the initial voting and different opinions expressed, was recirculated to the experts in two authoritative medical science and technology academic groups in the prevention and treatment of NPC in China for review and reconsideration. RESULTS The initial round of questions showed variations in clinical practice even among similar specialists, reflecting the lack of high-quality supporting data and resulting difficulties in formulating clinical decisions. Through exchange of comments and iterative revisions, recommendations with high-to-moderate agreement were formulated on general treatment strategies and details of surgery, including indications and surgical approaches. CONCLUSION By standardizing the surgical indications and practice, we hope not only to improve the surgical outcomes, but also to highlight the key directions of future clinical research in the surgical management of NPC.
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Affiliation(s)
- R You
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Y P Liu
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - X Z Chen
- Department of Radiation Oncology, Zhejiang Cancer Hospital, Zhejiang Province Key Laboratory of Radiation Oncology, Hangzhou, P. R. China
| | - J H Chen
- Department of Neurosurgery, Third Affiliated Hospital of Southern Medical University, Guangzhou, P. R. China
| | - J Y W Chan
- Department of Surgery, LKS Faculty of Medicine, The University of Hong, Hong Kong, P. R. China
| | - J G Fang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, P. R. China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Beijing, P. R. China
| | - C S Hu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, P. R. China
| | - Y Q Han
- Department of Radiation Oncology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, P. R. China
| | - F Han
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, P. R. China
| | - G Y Hu
- Department of Oncology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Y Jiang
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, P. R. China
| | - W H Jiang
- Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China
| | - L Kong
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, P. R. China
| | - J G Li
- Department of Radiation Oncology, Jiangxi Cancer Hospital of Nanchang University, Nanchang, Jiangxi, P. R. China
| | - Q Lin
- Department of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, P. R. China
| | - Y Liu
- Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China
| | - Y H Liu
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, P. R. China
| | - Y T Lu
- Department of Otorhinolaryngology, Shenzhen Second People's Hospital/The First Affiliated Hospital of Shenzhen University, Shenzhen, P. R. China
| | - W T Ng
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, P. R. China
| | - P K Man
- Department of Otorhinolaryngology, Centro Hospitalar C.S. Januario Macau, Macau, P. R. China
| | - J W Sun
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital, University of Science and Technology of China, Hefei, P. R. China
| | - L Tao
- ENT Institute and Department of Otorhinolaryngology, Eye and ENT Hospital, Fudan University, Shanghai, P. R. China
| | - J L Yi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P. R. China
| | - X D Zhu
- Department of Radiation Oncology, The Affiliated Tumor Hospital of Guangxi Medical University, Guangxi, P.R. China
| | - W P Wen
- Department of Otolaryngology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - M Y Chen
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - D M Han
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, P. R. China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Beijing, P. R. China
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Zhang Y, Wang Y, Zhang H, Huang S, Li Y, Long J, Han Y, Lin Q, Gong T, Sun X, Zhang Z, Zhang L. Replacing cholesterol with asiatic acid to prolong circulation and enhance anti-metastatic effects of non-PEGylated liposomes. J Control Release 2024; 366:585-595. [PMID: 38215987 DOI: 10.1016/j.jconrel.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/05/2024] [Accepted: 01/07/2024] [Indexed: 01/14/2024]
Abstract
Cholesterol is an indispensable component of most liposomes, heavily influencing their physical and surface properties. In this study, cholesterol in non-PEGylated liposomes was replaced by its analog, asiatic acid (AA), to generate liposomes with an alternative composition. These AA liposomes are generally smaller and more rigid than conventional liposomes, circulate longer in the body, and accumulate more in primary tumors and lung metastases in vivo. On the other hand, as an active ingredient, AA can decrease TGF-β secretion to inhibit the epithelial-mesenchymal transition (EMT) process, increase the sensitivity of tumor cells to doxorubicin (DOX), and synergize with DOX to enhance the immune response, thus improving their antitumor and anti-metastasis efficiency. Based on this rationale, DOX-loaded AA liposomes were fabricated and tested against triple-negative breast cancer (TNBC). Results showed that compared with conventional liposomes, the DOX-AALip provided approximately 28.4% higher tumor volume reduction with almost no metastatic nodules in the mouse model. Our data demonstrate that AA liposomes are safe, simple, and efficient, and thus in many situations may be used instead of conventional liposomes, having good potential for further clinical translational development.
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Affiliation(s)
- Yicong Zhang
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Yujia Wang
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Hanming Zhang
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Shiqi Huang
- College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Yuai Li
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Jiaying Long
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Yikun Han
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Qing Lin
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Tao Gong
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Xun Sun
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Zhirong Zhang
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Ling Zhang
- College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
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Huang Z, Tu X, Yu T, Zhan Z, Lin Q, Huang X. Peritumoural MRI radiomics signature of brain metastases can predict epidermal growth factor receptor mutation status in lung adenocarcinoma. Clin Radiol 2024; 79:e305-e316. [PMID: 38000953 DOI: 10.1016/j.crad.2023.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/05/2023] [Accepted: 10/18/2023] [Indexed: 11/26/2023]
Abstract
AIM To investigate whether magnetic resonance imaging (MRI) radiomics features of brain metastases (BMs) can predict epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma. MATERIALS AND METHODS Between June 2014 and December 2022, 58 histopathologically confirmed lung adenocarcinoma patients (27 with EGFR wild-type, 31 with EGFR mutation) who underwent gadobenate dimeglumine-enhanced brain MRI were recruited retrospectively. A total of 123 metastatic brain lesions were allocated randomly into the training cohort (n=86) and test cohort (n=37) at a ratio of 7:3. Radiomics models based on multi-sequence MRI images in different regions such as volume of interest (VOI)enhancing tumour, VOIwholetumour, VOIperitumour 1mm, VOIperitumour 3mm, and VOIperitumour 5mm were built. The optimal radiomics model was integrated into the clinical or radiological indicators to construct a fusion model through multivariable logistic regression analysis. RESULTS The optimal radiomics model based on the VOIperitumour 1mm, a combination of nine features selected from the fluid-attenuated inversion recovery (FLAIR) sequence, yielded areas under the curves (AUCs) of >0.75 in the training and test cohorts. The prediction of the fusion model with integration of clinical factors (age) and radiomics score (the optimal radiomics model) was not better than that of the optimal radiomics model alone in the test cohort (AUC: 0.808 and 0.785, respectively, p=0.525). CONCLUSION The FLAIR radiomics model based on VOIperitumour 1mm as an effective biomarker helps predict EGFR mutation status in lung adenocarcinoma patients with BMs and then assists clinicians in selecting optimal treatment strategies.
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Affiliation(s)
- Z Huang
- Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 North 91 Road, Xinluo District, Fujian, 364000, China.
| | - X Tu
- Department of Orthopedics, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 North 91 Road, Xinluo District, Fujian, 364000, China
| | - T Yu
- Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 North 91 Road, Xinluo District, Fujian, 364000, China
| | - Z Zhan
- Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 North 91 Road, Xinluo District, Fujian, 364000, China
| | - Q Lin
- Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 North 91 Road, Xinluo District, Fujian, 364000, China
| | - X Huang
- Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 North 91 Road, Xinluo District, Fujian, 364000, China
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Zhang M, Li J, Ji N, Bao Q, Sun N, Rong H, Peng X, Yang L, Xie M, He S, Lin Q, Zhang Z, Li L, Zhang L. Reducing Cholesterol Level in Live Macrophages Improves Delivery Performance by Enhancing Blood Shear Stress Adaptation. Nano Lett 2024; 24:607-616. [PMID: 38095305 DOI: 10.1021/acs.nanolett.3c03569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
In recent years, live-cell-based drug delivery systems have gained considerable attention. However, shear stress, which accompanies blood flow, may cause cell death and weaken the delivery performance. In this study, we found that reducing cholesterol in macrophage plasma membranes enhanced their tumor targeting ability by more than 2-fold. Our study demonstrates that the reduced cholesterol level deactivated the mammalian target of rapamycin (mTOR) and consequently promoted the nuclear translocation of transcription factor EB (TFEB), which in turn enhanced the expression of superoxide dismutase (SOD) to reduce reactive oxygen species (ROS) induced by shear stress. A proof-of-concept system using low cholesterol macrophages attached to MXene (e.g., l-RX) was fabricated. In a melanoma mouse model, l-RX and laser irradiation treatments eliminated tumors with no recurrences observed in mice. Therefore, cholesterol reduction is a simple and effective way to enhance the targeting performance of macrophage-based drug delivery systems.
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Affiliation(s)
- Mengxing Zhang
- Med-X center for Materials, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Jing Li
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Na Ji
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Qixue Bao
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Ningyun Sun
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Hongding Rong
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Xu Peng
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Lan Yang
- Med-X center for Materials, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Mingxin Xie
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Shanshan He
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610065, China
| | - Qing Lin
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610065, China
| | - Zhirong Zhang
- Key Laboratory of Drug Targeting and Drug Delivery Systems of Ministry of Education, West China School of Pharmacy, Sichuan University, Chengdu 610065, China
| | - Lin Li
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Ling Zhang
- Med-X center for Materials, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
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Zeng H, Zhang W, Lin Q, Gao Y, Teng J, Xu Z, Cai X, Zhong Z, Wu J, Liu Y, Diao S, Wei C, Gong W, Pan X, Li Z, Huang X, Chen X, Du J. PigBiobank: a valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs. Nucleic Acids Res 2024; 52:D980-D989. [PMID: 37956339 PMCID: PMC10767803 DOI: 10.1093/nar/gkad1080] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/13/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
To fully unlock the potential of pigs as both agricultural species for animal-based protein food and biomedical models for human biology and disease, a comprehensive understanding of molecular and cellular mechanisms underlying various complex phenotypes in pigs and how the findings can be translated to other species, especially humans, are urgently needed. Here, within the Farm animal Genotype-Tissue Expression (FarmGTEx) project, we build the PigBiobank (http://pigbiobank.farmgtex.org) to systematically investigate the relationships among genomic variants, regulatory elements, genes, molecular networks, tissues and complex traits in pigs. This first version of the PigBiobank curates 71 885 pigs with both genotypes and phenotypes from over 100 pig breeds worldwide, covering 264 distinct complex traits. The PigBiobank has the following functions: (i) imputed sequence-based genotype-phenotype associations via a standardized and uniform pipeline, (ii) molecular and cellular mechanisms underlying trait-associations via integrating multi-omics data, (iii) cross-species gene mapping of complex traits via transcriptome-wide association studies, and (iv) high-quality results display and visualization. The PigBiobank will be updated timely with the development of the FarmGTEx-PigGTEx project, serving as an open-access and easy-to-use resource for genetically and biologically dissecting complex traits in pigs and translating the findings to other species.
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Affiliation(s)
- Haonan Zeng
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Wenjing Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Qing Lin
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yahui Gao
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jinyan Teng
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhiting Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiaodian Cai
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhanming Zhong
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jun Wu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yuqiang Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Shuqi Diao
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Chen Wei
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Wentao Gong
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiangchun Pan
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Zedong Li
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiaoyu Huang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Xifan Chen
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jinshi Du
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
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Cui T, Zang S, Sun X, Zhang J, Su Y, Wang D, Wu G, Chen R, Que Y, Lin Q, You C. Molecular identification and functional characterization of a transcription factor GeRAV1 from Gelsemium elegans. BMC Genomics 2024; 25:22. [PMID: 38166591 PMCID: PMC10759518 DOI: 10.1186/s12864-023-09919-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 12/16/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Gelsemium elegans is a traditional Chinese medicinal plant and temperature is one of the key factors affecting its growth. RAV (related to ABI3/VP1) transcription factor plays multiple roles in higher plants, including the regulation of plant growth, development, and stress response. However, RAV transcription factor in G. elegans has not been reported. RESULTS In this study, three novel GeRAV genes (GeRAV1-GeRAV3) were identified from the transcriptome of G. elegans under low temperature stress. Phylogenetic analysis showed that GeRAV1-GeRAV3 proteins were clustered into groups II, IV, and V, respectively. RNA-sequencing (RNA-seq) and real-time quantitative PCR (qRT-PCR) analyses indicated that the expression of GeRAV1 and GeRAV2 was increased in response to cold stress. Furthermore, the GeRAV1 gene was successfully cloned from G. elegans leaf. It encoded a hydrophilic, unstable, and non-secretory protein that contained both AP2 and B3 domains. The amino acid sequence of GeRAV1 protein shared a high similarity of 81.97% with Camptotheca acuminata CaRAV. Subcellular localization and transcriptional self-activation experiments demonstrated that GeRAV1 was a nucleoprotein without self-activating activity. The GeRAV1 gene was constitutively expressed in the leaves, stems, and roots of the G. elegans, with the highest expression levels in roots. In addition, the expression of the GeRAV1 gene was rapidly up-regulated under abscisic acid (ABA), salicylic acid (SA), and methyl jasmonate (MeJA) stresses, suggesting that it may be involved in hormonal signaling pathways. Moreover, GeRAV1 conferred improved cold and sodium chloride tolerance in Escherichia coli Rosetta cells. CONCLUSIONS These findings provided a foundation for further understanding on the function and regulatory mechanism of the GeRAV1 gene in response to low-temperature stress in G. elegans.
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Affiliation(s)
- Tianzhen Cui
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Shoujian Zang
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Xinlu Sun
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Jing Zhang
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Yachun Su
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Dongjiao Wang
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Guran Wu
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Ruiqi Chen
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Youxiong Que
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Qing Lin
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
- The Second People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350003, China.
| | - Chuihuai You
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
- The Second People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350003, China.
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23
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Teng J, Gao Y, Yin H, Bai Z, Liu S, Zeng H, Bai L, Cai Z, Zhao B, Li X, Xu Z, Lin Q, Pan Z, Yang W, Yu X, Guan D, Hou Y, Keel BN, Rohrer GA, Lindholm-Perry AK, Oliver WT, Ballester M, Crespo-Piazuelo D, Quintanilla R, Canela-Xandri O, Rawlik K, Xia C, Yao Y, Zhao Q, Yao W, Yang L, Li H, Zhang H, Liao W, Chen T, Karlskov-Mortensen P, Fredholm M, Amills M, Clop A, Giuffra E, Wu J, Cai X, Diao S, Pan X, Wei C, Li J, Cheng H, Wang S, Su G, Sahana G, Lund MS, Dekkers JCM, Kramer L, Tuggle CK, Corbett R, Groenen MAM, Madsen O, Gòdia M, Rocha D, Charles M, Li CJ, Pausch H, Hu X, Frantz L, Luo Y, Lin L, Zhou Z, Zhang Z, Chen Z, Cui L, Xiang R, Shen X, Li P, Huang R, Tang G, Li M, Zhao Y, Yi G, Tang Z, Jiang J, Zhao F, Yuan X, Liu X, Chen Y, Xu X, Zhao S, Zhao P, Haley C, Zhou H, Wang Q, Pan Y, Ding X, Ma L, Li J, Navarro P, Zhang Q, Li B, Tenesa A, Li K, Liu GE, Zhang Z, Fang L. A compendium of genetic regulatory effects across pig tissues. Nat Genet 2024; 56:112-123. [PMID: 38177344 PMCID: PMC10786720 DOI: 10.1038/s41588-023-01585-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 10/13/2023] [Indexed: 01/06/2024]
Abstract
The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. Here we show results from the pilot phase of PigGTEx by processing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples passing quality control from pigs. We build a pig genotype imputation panel and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We evaluate tissue specificity of regulatory effects and elucidate molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying 207 pig complex phenotypes and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, supporting the importance of pigs as a human biomedical model.
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Affiliation(s)
- Jinyan Teng
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Yahui Gao
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, USA
| | - Hongwei Yin
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhonghao Bai
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Shuli Liu
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Haonan Zeng
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Lijing Bai
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zexi Cai
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Bingru Zhao
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiujin Li
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Zhiting Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Qing Lin
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Zhangyuan Pan
- Department of Animal Science, University of California, Davis, Davis, CA, USA
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenjing Yang
- College of Animal Science and Technology, China Agricultural University, Beijing, China
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Xiaoshan Yu
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Dailu Guan
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Yali Hou
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Brittney N Keel
- ARS, USDA, U.S. Meat Animal Research Center, Clay Center, NE, USA
| | - Gary A Rohrer
- ARS, USDA, U.S. Meat Animal Research Center, Clay Center, NE, USA
| | | | - William T Oliver
- ARS, USDA, U.S. Meat Animal Research Center, Clay Center, NE, USA
| | - Maria Ballester
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Daniel Crespo-Piazuelo
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Raquel Quintanilla
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Oriol Canela-Xandri
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Konrad Rawlik
- Baillie Gifford Pandemic Science Hub, University of Edinburgh, Edinburgh, UK
| | - Charley Xia
- Lothian Birth Cohort studies, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Yuelin Yao
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
- School of Informatics, The University of Edinburgh, Edinburgh, UK
| | - Qianyi Zhao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Wenye Yao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Liu Yang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Houcheng Li
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Huicong Zhang
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Wang Liao
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Tianshuo Chen
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Peter Karlskov-Mortensen
- Animal Genetics, Bioinformatics and Breeding, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Fredholm
- Animal Genetics, Bioinformatics and Breeding, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marcel Amills
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Alex Clop
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain
- Consejo Superior de Investigaciones Científicas, Barcelona, Spain
| | - Elisabetta Giuffra
- Paris-Saclay University, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Jun Wu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Xiaodian Cai
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Shuqi Diao
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Xiangchun Pan
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Chen Wei
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Jinghui Li
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Hao Cheng
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Guosheng Su
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Goutam Sahana
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Mogens Sandø Lund
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Jack C M Dekkers
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Luke Kramer
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | | | - Ryan Corbett
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Martien A M Groenen
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Ole Madsen
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Marta Gòdia
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Dominique Rocha
- Paris-Saclay University, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Mathieu Charles
- Paris-Saclay University, INRAE, AgroParisTech, GABI, SIGENAE, Jouy-en-Josas, France
| | - Cong-Jun Li
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA
| | - Hubert Pausch
- Animal Genomics, ETH Zurich, Universitaetstrasse 2, Zurich, Switzerland
| | - Xiaoxiang Hu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Laurent Frantz
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Yonglun Luo
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Research, Qingdao, China
| | - Lin Lin
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Zhongyin Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zhe Zhang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Zitao Chen
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Leilei Cui
- School of Life Sciences, Nanchang University, Nanchang, China
- Human Aging Research Institute and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Jiangxi, China
- UCL Genetics Institute, University College London, London, UK
| | - Ruidong Xiang
- Faculty of Veterinary and Agricultural Science, The University of Melbourne, Parkville, Victoria, Australia
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Victoria, Australia
| | - Xia Shen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine, Fudan University, Guangzhou, China
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Pinghua Li
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Ruihua Huang
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Guoqing Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Mingzhou Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Yunxiang Zhao
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Guoqiang Yi
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhonglin Tang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jicai Jiang
- Department of Animal Science, North Carolina State University, Raleigh, NC, USA
| | - Fuping Zhao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaolong Yuan
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xuewen Xu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Pengju Zhao
- Hainan Institute, Zhejiang University, Yongyou Industry Park, Yazhou Bay Sci-Tech City, Sanya, China
| | - Chris Haley
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK
| | - Huaijun Zhou
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Qishan Wang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Yuchun Pan
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Xiangdong Ding
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Li Ma
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, USA
| | - Jiaqi Li
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Pau Navarro
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK
| | - Qin Zhang
- College of Animal Science and Technology, Shandong Agricultural University, Tai'an, China
| | - Bingjie Li
- Scotland's Rural College (SRUC), Roslin Institute Building, Midlothian, UK
| | - Albert Tenesa
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
| | - Kui Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
| | - George E Liu
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA.
| | - Zhe Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China.
| | - Lingzhao Fang
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
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24
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Yu DH, Lin Q, Fan C, Skinner JT, Thiboutot JP, Yarmus LB, Johns RA. Resistin Pathway as Novel Mechanism of Post-lung Transplantation Bronchial Stenosis. J Bronchology Interv Pulmonol 2024; 31:30-38. [PMID: 37202855 DOI: 10.1097/lbr.0000000000000925] [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: 12/02/2022] [Accepted: 03/11/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Bronchial stenosis remains a significant source of morbidity among lung transplant recipients. Though infection and anastomotic ischemia have been proposed etiologies of the development of bronchial stenosis, the pathophysiologic mechanism has not been well elucidated. METHODS In this single-centered prospective study, from January 2013 through September 2015, we prospectively collected bronchoalveolar lavage (BAL) and endobronchial epithelial brushings from the direct anastomotic site of bronchial stenosis of bilateral lung transplant recipients who developed unilateral post-transplant bronchial stenosis. Endobronchial epithelial brushings from the contralateral anastomotic site without bronchial stenosis and BAL from bilateral lung transplant recipients who did not develop post-transplant bronchial stenosis were used as controls. Total RNA was isolated from the endobronchial brushings and real-time polymerase chain reaction reactions were performed. Electrochemiluminescence biomarker assay was used to measure 10 cytokines from the BAL. RESULTS Out of 60 bilateral lung transplant recipients, 9 were found to have developed bronchial stenosis with 17 samples adequate for analysis. We observed a 1.56 to 70.8 mean-fold increase in human resistin gene expression in the anastomotic bronchial stenosis epithelial cells compared with nonstenotic airways. Furthermore, IL-1β (21.76±10.96 pg/mL; control 0.86±0.44 pg/mL; P <0.01) and IL-8 levels (990.56±326.60 pg/mL; control 20.33±1.17 pg/mL; P <0.01) were significantly elevated in the BAL of the lung transplant patients who developed anastomotic bronchial stenosis. CONCLUSION Our data suggest that the development of postlung transplantation bronchial stenosis may be in part mediated through the human resistin pathway by IL-1β induced transcription factor nuclear factor-κβ activation and downstream upregulation of IL-8 in alveolar macrophages. Further study is needed in the larger patient cohorts and to determine its potential therapeutic role in the management of post-transplant bronchial stenosis.
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Affiliation(s)
- Diana H Yu
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California, San Francisco, San Francisco, CA
| | - Qing Lin
- Department of Anesthesiology and Critical Care
| | | | | | - Jeffrey P Thiboutot
- Division of Pulmonary and Critical Care Medicine, Section of Interventional Pulmonology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lonny B Yarmus
- Division of Pulmonary and Critical Care Medicine, Section of Interventional Pulmonology, Johns Hopkins University School of Medicine, Baltimore, MD
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25
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Xu C, Feng J, Sun H, Yan M, Yang Q, Zhou X, Yang J, He F, Lin Q. Pharmacokinetics of 4-Hydroxybenzaldehyde in Normal and Cerebral Ischemia-Reperfusion Injury Rats Based on Microdialysis Technique. Eur J Drug Metab Pharmacokinet 2024; 49:23-32. [PMID: 38001303 DOI: 10.1007/s13318-023-00863-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 11/26/2023]
Abstract
AIM 4-Hydroxybenzaldehyde (4-HBd) is used for the treatment of headaches, dizziness, and convulsions. The objective of this study was to characterize the pharmacokinetics of 4-HBd in cerebral ischemia-reperfusion injury (CIRI) rats by microdialysis technology with high-performance liquid chromatography with diode-array detection (HPLC-DAD) and ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). METHODS Microdialysis was used to collect blood, feces, and urine of normal and CIRI model rats. Pharmacokinetic parameters were determined using HPLC-DAD and 4-HBd metabolites were determined using UPLC-MS. RESULTS After gavage of 4-HBd in normal and middle cerebral artery occlusion/reperfusion (MCAO/R) rats, it was widely distributed to all tissues (heart, liver, spleen, lung, kidney, and brain) in both the equilibrium and elimination phases, and the distribution pattern was basically the same; the highest concentration was found in the brain. The absolute bioavailability of 4-HBd was 5.33%; however, after intragastric administration in normal and MCAO/R rats, fecal and urinary excretion of 4-HBd accounted for 0.02% and 0.01% and for 0.01% and 0.03% of the dosage, respectively. Furthermore, 4-HBd was rapidly metabolized into 4-hydroxybenzoic acid (4-HBA) after administration in both the control and MCAO/R groups. Compared with the control, the peak time of 4-HBd plasma concentration in the MCAO/R rats decreased from 10.67 min to 8.83 min, the area under the concentration-time curve decreased significantly, and the half-life increased from 31.81 min to 78.85 min. CONCLUSIONS The rapid absorption and low absolute bioavailability of 4-HBd by gavage in rats are followed by rapid and wide distribution to various tissues and organs, including the brain. The prototype drug is excreted in the feces and urine in low amounts, and it is metabolized to 4-HBA in large amounts in vivo; the pathological state of the MCAO/R model mainly affects its absorption degree and metabolism rate.
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Affiliation(s)
- Chunping Xu
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Jin Feng
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Hang Sun
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Mingli Yan
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Qian Yang
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Xiaonan Zhou
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Jianguang Yang
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Fangyan He
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China.
- College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine Kunming, 1076 Yuhua Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
| | - Qing Lin
- The Department of Pharmacology, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China.
- College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine Kunming, 1076 Yuhua Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
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Li T, Wan P, Lin Q, Wei C, Guo K, Li X, Lu Y, Zhang Z, Li J. Genome-Wide Association Study Meta-Analysis Elucidates Genetic Structure and Identifies Candidate Genes of Teat Number Traits in Pigs. Int J Mol Sci 2023; 25:451. [PMID: 38203622 PMCID: PMC10779318 DOI: 10.3390/ijms25010451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/17/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
The teat number is a pivotal reproductive trait that significantly influences the survival rate of piglets. A meta-analysis is a robust instrument, enhancing the universality of research findings and improving statistical power by increasing the sample size. This study aimed to identify universal candidate genes associated with teat number traits using a genome-wide association study (GWAS) meta-analysis with three breeds. We identified 21 chromosome threshold significant single-nucleotide polymorphisms (SNPs) associated with five teat number traits in single-breed and cross-breed meta-GWAS analyses. Using a co-localization analysis of expression quantitative trait loci and GWAS loci, we detected four unique genes that were co-localized with cross-breed GWAS loci associated with teat number traits. Through a meta-analysis and integrative analysis, we identified more reliable candidate genes associated with multiple-breed teat number traits. Our research provides new information for exploring the genetic mechanism affecting pig teat number for breeding selection and improvement.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Jiaqi Li
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (T.L.); (P.W.); (Q.L.); (C.W.); (K.G.); (X.L.); (Y.L.); (Z.Z.)
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27
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Zhang H, Fang M, Lin Q. Photo-activatable Reagents for Bioorthogonal Ligation Reactions. Top Curr Chem (Cham) 2023; 382:1. [PMID: 38091203 DOI: 10.1007/s41061-023-00447-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023]
Abstract
Light-induced bioorthogonal reactions offer spatiotemporal control over selective biomolecular labeling. This review covers the recent advances in the design of photo-activatable reagents for bioorthogonal conjugation reactions in living systems. These reagents are stable in the absence of light, but transformed into reactive species upon light illumination, which then undergo rapid ligation reactions. The light wavelength has been tuned from ultraviolet to near infrared to enable efficient photo-activation in reactions in deep tissues. The most prominent photo-activatable reagents are presented, including tetrazoles, tetrazines, 9,10-phenanthrenequinone, diarylsydnones, and others. A particular focus is on the strategies for improving reaction kinetics and biocompatibility accomplished through careful molecular engineering. The utilities of these photo-activatable reagents are illustrated through a broad range of biological applications, including in vivo protein labeling, positron emission tomography (PET) imaging, responsive hydrogels, and fluorescence microscopy. The further development and optimization of these biocompatible photo-activatable reagents should lead to new chemical biology strategies for studying biomolecular structure and function in living systems.
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Affiliation(s)
- Heyang Zhang
- Department of Chemistry, State University of New York at Buffalo, Buffalo, NY, 14260, USA
| | - Ming Fang
- Department of Chemistry, State University of New York at Buffalo, Buffalo, NY, 14260, USA
| | - Qing Lin
- Department of Chemistry, State University of New York at Buffalo, Buffalo, NY, 14260, USA.
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28
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Zhu L, Wu J, Gao H, Wang T, Xiao G, Hu C, Lin Q, Zhou Q. Tumor immune microenvironment-modulated nanostrategy for the treatment of lung cancer metastasis. Chin Med J (Engl) 2023; 136:2787-2801. [PMID: 37442772 PMCID: PMC10686602 DOI: 10.1097/cm9.0000000000002525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Indexed: 07/15/2023] Open
Abstract
ABSTRACT As one of the most malignant tumors worldwide, lung cancer, fueled by metastasis, has shown rising mortality rates. However, effective clinical strategies aimed at preventing metastasis are lacking owing to its dynamic multi-step, complicated, and progressive nature. Immunotherapy has shown promise in treating cancer metastasis by reversing the immunosuppressive network of the tumor microenvironment. However, drug resistance inevitably develops due to inadequate delivery of immunostimulants and an uncontrolled immune response. Consequently, adverse effects occur, such as autoimmunity, from the non-specific immune activation and non-specific inflammation in off-target organs. Nanocarriers that improve drug solubility, permeability, stability, bioavailability, as well as sustained, controlled, and targeted delivery can effectively overcome drug resistance and enhance the therapeutic effect while reducing adverse effects. In particular, nanomedicine-based immunotherapy can be utilized to target tumor metastasis, presenting a promising therapeutic strategy for lung cancer. Nanotechnology strategies that boost the immunotherapy effect are classified based on the metastatic cascade related to the tumor immune microenvironment; the breaking away of primary tumors, circulating tumor cell dissemination, and premetastatic niche formation cause distant secondary site colonization. In this review, we focus on the opportunities and challenges of integrating immunotherapy with nanoparticle formulation to establish nanotechnology-based immunotherapy by modulating the tumor microenvironment for preclinical and clinical applications in the management of patients with metastatic lung cancer. We also discuss prospects for the emerging field and the clinical translation potential of these techniques.
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Affiliation(s)
- Lingling Zhu
- Lung Cancer Center, Lung Cancer Institute, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Key Laboratory of Drug Targeting and Drug Delivery Systems, Ministry of Education, West China School of Pharmacy, College of Polymer Science and Engineering, Sichuan University, Chengdu, Sichuan 610041, China
| | - Juan Wu
- Out-patient Department, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Honglin Gao
- Key Laboratory of Drug Targeting and Drug Delivery Systems, Ministry of Education, West China School of Pharmacy, College of Polymer Science and Engineering, Sichuan University, Chengdu, Sichuan 610041, China
| | - Ting Wang
- Lung Cancer Center, Lung Cancer Institute, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Guixiu Xiao
- Lung Cancer Center, Lung Cancer Institute, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Chenggong Hu
- Department of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Qing Lin
- Key Laboratory of Drug Targeting and Drug Delivery Systems, Ministry of Education, West China School of Pharmacy, College of Polymer Science and Engineering, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qinghua Zhou
- Lung Cancer Center, Lung Cancer Institute, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
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29
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Wang KD, Zhu ML, Qin CJ, Dong RF, Xiao CM, Lin Q, Wei RY, He XY, Zang X, Kong LY, Xia YZ. Sanguinarine induces apoptosis in osteosarcoma by attenuating the binding of STAT3 to the single-stranded DNA-binding protein 1 (SSBP1) promoter region. Br J Pharmacol 2023; 180:3175-3193. [PMID: 37501645 DOI: 10.1111/bph.16202] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 06/19/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND AND PURPOSE Osteosarcoma, a primary malignant bone tumour prevalent among adolescents and young adults, remains a considerable challenge despite protracted progress made in enhancing patient survival rates over the last 40 years. Consequently, the development of novel therapeutic approaches for osteosarcoma is imperative. Sanguinarine (SNG), a compound with demonstrated potent anticancer properties against various malignancies, presents a promising avenue for exploration. Nevertheless, the intricate molecular mechanisms underpinning SNG's actions in osteosarcoma remain elusive, necessitating further elucidation. EXPERIMENTAL APPROACH Single-stranded DNA-binding protein 1 (SSBP1) was screened out by differential proteomic analysis. Apoptosis, cell cycle, reactive oxygen species (ROS) and mitochondrial changes were assessed via flow cytometry. Western blotting and quantitative real-time reverse transcription PCR (qRT-PCR) were used to determine protein and gene levels. The antitumour mechanism of SNG was explored at a molecular level using chromatin immunoprecipitation (ChIP) and dual luciferase reporter plasmids. KEY RESULTS Our investigation revealed that SNG exerted an up-regulated effect on SSBP1, disrupting mitochondrial function and inducing apoptosis. In-depth analysis uncovered a mechanism whereby SNG hindered the JAK/signal transducer and activator of transcription 3 (STAT3) signalling pathway, relieved the inhibitory effect of STAT3 on SSBP1 transcription, and inhibited the downstream PI3K/Akt/mTOR signalling axis, ultimately activating apoptosis. CONCLUSIONS AND IMPLICATIONS The study delved further into elucidating the anticancer mechanism of SNG in osteosarcoma. Notably, we unravelled the previously undisclosed apoptotic potential of SSBP1 in osteosarcoma cells. This finding holds substantial promise in advancing the development of novel anticancer drugs and identification of therapeutic targets.
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Affiliation(s)
- Kai-Di Wang
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Miao-Lin Zhu
- Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing, China
| | - Cheng-Jiao Qin
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Rui-Fang Dong
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Cheng-Mei Xiao
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Qing Lin
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Rong-Yuan Wei
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Xiao-Yu He
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Xin Zang
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Ling-Yi Kong
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yuan-Zheng Xia
- Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
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30
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Zheng S, Tian Q, Yuan Y, Sun S, Li T, Xia R, He R, Luo Y, Lin Q, Fu Z, Zhou Y, Chen R, Hu C. Extracellular vesicle-packaged circBIRC6 from cancer-associated fibroblasts induce platinum resistance via SUMOylation modulation in pancreatic cancer. J Exp Clin Cancer Res 2023; 42:324. [PMID: 38012734 PMCID: PMC10683239 DOI: 10.1186/s13046-023-02854-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/07/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Cancer-associated fibroblasts (CAFs) play pivotal roles in chemoresistance of pancreatic ductal adenocarcinoma (PDAC). However, the underlying mechanisms are poorly understood. Revealing the cross-talk network between tumor stroma and pancreatic cancer and developing effective strategies against oxaliplatin resistance are highly desired in the clinic. METHODS High-throughput sequence was used to screened the key circRNAs transmitted by extracellular vesicles (EVs) from CAFs to pancreatic cancer cells. The associations between EV-packaged circBIRC6 and chemotherapy responsiveness were validated in a cohort of 82 cases of advanced PDAC patients. Then, the effects of EV-packaged circBIRC6 on CAF-induced oxaliplatin resistance were investigated by flow cytometry, colony formation, viability of pancreatic cancer organoids in vitro and by xenograft models in vivo. RNA pulldown, RNA immunoprecipitation, and sites mutation assays were used to reveal the underlying mechanism. RESULTS We identified a circRNA, circBIRC6, is significantly upregulated in CAF-derived EVs and is positively associated with oxaliplatin-based chemoresistance. In vitro and in vivo functional assays showed that CAF-derived EV-packaged circBIRC6 enhance oxaliplatin resistance of pancreatic cancer cells and organoids via regulating the non-homologous end joining (NHEJ) dependent DNA repair. Mechanistically, circBIRC6 directly binds with XRCC4 and enhanced the interaction of XRCC4 with SUMO1 at the lysine 115 residue, which facilitated XRCC4 chromatin localization. XRCC4K115R mutation dramatically abrogated the EV-packaged circBIRC6 induced effect. Moreover, combination of antisense oligonucleotide inhibitors against circBIRC6 with Olaparib dramatically suppressed chemoresistance in patient-derived xenograft models. CONCLUSIONS Our study revealed that EV-packaged circBIRC6 confer oxaliplatin resistance in PDAC by mediating SUMOylation of XRCC4, introducing a promising predictive and therapeutic target for PDAC on oxaliplatin resistance.
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Affiliation(s)
- Shangyou Zheng
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Qing Tian
- School of medicine, South China University of Technology, Guangzhou, 510006, Guangdong Province, China
| | - Yuan Yuan
- Guangdong cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Shuxin Sun
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Tingting Li
- School of medicine, South China University of Technology, Guangzhou, 510006, Guangdong Province, China
| | - Renpeng Xia
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Rihua He
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
- Shantou University Medical College, Shantou, 515041, Guangdong province, China
| | - Yuming Luo
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Qing Lin
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Zhiqiang Fu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Department of Pancreatobiliary Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, Guangdong, China
| | - Yu Zhou
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China.
| | - Rufu Chen
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China.
- School of medicine, South China University of Technology, Guangzhou, 510006, Guangdong Province, China.
- Guangdong cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
| | - Chonghui Hu
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China.
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31
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Lin Q, Gilardi C, Su SK, Zhang Z, Chen E, Bandaru P, Kummel A, Radu I, Mitra S, Pitner G, Wong HSP. Band-to-Band Tunneling Leakage Current Characterization and Projection in Carbon Nanotube Transistors. ACS Nano 2023; 17:21083-21092. [PMID: 37910857 DOI: 10.1021/acsnano.3c04346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Carbon nanotube (CNT) transistors demonstrate high mobility but also experience off-state leakage due to the small effective mass and band gap. The lower limit of off-current (IMIN) was measured in electrostatically doped CNT metal-oxide-semiconductor field-effect transistors (MOSFETs) across a range of band gaps (0.37 to 1.19 eV), supply voltages (0.5 to 0.7 V), and extension doping levels (0.2 to 0.8 carriers/nm). A nonequilibrium Green's function (NEGF) model confirms the dependence of IMIN on CNT band gap, supply voltage, and extension doping level. A leakage current design space across CNT band gap, supply voltage, and extension doping is projected based on the validated NEGF model for long-channel CNT MOSFETs to identify the appropriate device design choices. The optimal extension doping and CNT band gap design choice for a target off-current density are identified by including on-current projection in the leakage current design space. An extension doping level >0.5 carrier/nm is required for optimized on-current.
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Affiliation(s)
- Qing Lin
- Dept. of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Carlo Gilardi
- Dept. of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Sheng-Kai Su
- Corporate Research, Taiwan Semiconductor Manufacturing Company, Hsinchu 30075, Taiwan
| | - Zichen Zhang
- Dept. of Electrical Engineering, University of California San Diego, San Diego, California 92093, United States
| | - Edward Chen
- Corporate Research, Taiwan Semiconductor Manufacturing Company, Hsinchu 30075, Taiwan
| | - Prabhakar Bandaru
- Dept. of Electrical Engineering, University of California San Diego, San Diego, California 92093, United States
| | - Andrew Kummel
- Dept. of Electrical Engineering, University of California San Diego, San Diego, California 92093, United States
| | - Iuliana Radu
- Corporate Research, Taiwan Semiconductor Manufacturing Company, Hsinchu 30075, Taiwan
| | - Subhasish Mitra
- Dept. of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Greg Pitner
- Corporate Research, Taiwan Semiconductor Manufacturing Company, San Jose, California 95134, United States
| | - H-S Philip Wong
- Dept. of Electrical Engineering, Stanford University, Stanford, California 94305, United States
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32
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Huang D, Abdukerim A, Bo Z, Chen W, Chen X, Cheng C, Cheng Z, Cui X, Fan Y, Fang D, Fu C, Fu M, Geng L, Giboni K, Gu L, Guo X, Han C, Han K, He C, He J, Huang Y, Huang J, Huang Z, Hou R, Hou Y, Ji X, Ju Y, Li C, Li J, Li M, Li S, Li T, Lin Q, Liu J, Lu C, Lu X, Luo L, Luo Y, Ma W, Ma Y, Mao Y, Meng Y, Ning X, Qi N, Qian Z, Ren X, Shaheed N, Shang X, Shao X, Shen G, Si L, Sun W, Tan A, Tao Y, Wang A, Wang M, Wang Q, Wang S, Wang S, Wang W, Wang X, Wang Z, Wei Y, Wu M, Wu W, Xia J, Xiao M, Xiao X, Xie P, Yan B, Yan X, Yang J, Yang Y, Yao Y, Yu C, Yuan Y, Yuan Z, Zeng X, Zhang D, Zhang M, Zhang P, Zhang S, Zhang S, Zhang T, Zhang W, Zhang Y, Zhang Y, Zhang Y, Zhao L, Zheng Q, Zhou J, Zhou N, Zhou X, Zhou Y, Zhou Y, Huo R, Yu H. Search for Dark-Matter-Nucleon Interactions with a Dark Mediator in PandaX-4T. Phys Rev Lett 2023; 131:191002. [PMID: 38000419 DOI: 10.1103/physrevlett.131.191002] [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: 08/04/2023] [Revised: 09/23/2023] [Accepted: 10/13/2023] [Indexed: 11/26/2023]
Abstract
We report results of a search for dark-matter-nucleon interactions via a dark mediator using optimized low-energy data from the PandaX-4T liquid xenon experiment. With the ionization-signal-only data and utilizing the Migdal effect, we set the most stringent limits on the cross section for dark matter masses ranging from 30 MeV/c^{2} to 2 GeV/c^{2}. Under the assumption that the dark mediator is a dark photon that decays into scalar dark matter pairs in the early Universe, we rule out significant parameter space of such thermal relic dark-matter model.
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Affiliation(s)
- Di Huang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Abdusalam Abdukerim
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Zihao Bo
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Wei Chen
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Xun Chen
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
- Shanghai Jiao Tong University Sichuan Research Institute, Chengdu 610213, China
| | - Chen Cheng
- School of Physics, Sun Yat-Sen University, Guangzhou 510275, China
| | - Zhaokan Cheng
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - Xiangyi Cui
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yingjie Fan
- Department of Physics, Yantai University, Yantai 264005, China
| | - Deqing Fang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - Changbo Fu
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - Mengting Fu
- School of Physics, Peking University, Beijing 100871, China
| | - Lisheng Geng
- School of Physics, Beihang University, Beijing 102206, China
- International Research Center for Nuclei and Particles in the Cosmos and Beijing Key Laboratory of Advanced Nuclear Materials and Physics, Beihang University, Beijing 100191, China
- School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Karl Giboni
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Linhui Gu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Xuyuan Guo
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Chencheng Han
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ke Han
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Changda He
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Jinrong He
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Yanlin Huang
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Junting Huang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Zhou Huang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Ruquan Hou
- Shanghai Jiao Tong University Sichuan Research Institute, Chengdu 610213, China
| | - Yu Hou
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiangdong Ji
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - Yonglin Ju
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chenxiang Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Jiafu Li
- School of Physics, Sun Yat-Sen University, Guangzhou 510275, China
| | - Mingchuan Li
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Shuaijie Li
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Tao Li
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - Qing Lin
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Jianglai Liu
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
- Shanghai Jiao Tong University Sichuan Research Institute, Chengdu 610213, China
| | - Congcong Lu
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaoying Lu
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - Lingyin Luo
- School of Physics, Peking University, Beijing 100871, China
| | - Yunyang Luo
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Wenbo Ma
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Yugang Ma
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - Yajun Mao
- School of Physics, Peking University, Beijing 100871, China
| | - Yue Meng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
- Shanghai Jiao Tong University Sichuan Research Institute, Chengdu 610213, China
| | - Xuyang Ning
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Ningchun Qi
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Zhicheng Qian
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Xiangxiang Ren
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - Nasir Shaheed
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - Xiaofeng Shang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Xiyuan Shao
- School of Physics, Nankai University, Tianjin 300071, China
| | - Guofang Shen
- School of Physics, Beihang University, Beijing 102206, China
| | - Lin Si
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Wenliang Sun
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Andi Tan
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - Yi Tao
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
- Shanghai Jiao Tong University Sichuan Research Institute, Chengdu 610213, China
| | - Anqing Wang
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - Meng Wang
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - Qiuhong Wang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - Shaobo Wang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
- SJTU Paris Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Siguang Wang
- School of Physics, Peking University, Beijing 100871, China
| | - Wei Wang
- School of Physics, Sun Yat-Sen University, Guangzhou 510275, China
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - Xiuli Wang
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhou Wang
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
- Shanghai Jiao Tong University Sichuan Research Institute, Chengdu 610213, China
| | - Yuehuan Wei
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - Mengmeng Wu
- School of Physics, Sun Yat-Sen University, Guangzhou 510275, China
| | - Weihao Wu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Jingkai Xia
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Mengjiao Xiao
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - Xiang Xiao
- School of Physics, Sun Yat-Sen University, Guangzhou 510275, China
| | - Pengwei Xie
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Binbin Yan
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Xiyu Yan
- School of Physics and Astronomy, Sun Yat-Sen University, Zhuhai 519082, China
| | - Jijun Yang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Yong Yang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Yukun Yao
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Chunxu Yu
- School of Physics, Nankai University, Tianjin 300071, China
| | - Ying Yuan
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Zhe Yuan
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - Xinning Zeng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Dan Zhang
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - Minzhen Zhang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Peng Zhang
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Shibo Zhang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Shu Zhang
- School of Physics, Sun Yat-Sen University, Guangzhou 510275, China
| | - Tao Zhang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Wei Zhang
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yang Zhang
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - Yingxin Zhang
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - Yuanyuan Zhang
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Li Zhao
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Qibin Zheng
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Jifang Zhou
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Ning Zhou
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
- Shanghai Jiao Tong University Sichuan Research Institute, Chengdu 610213, China
| | - Xiaopeng Zhou
- School of Physics, Beihang University, Beijing 102206, China
| | - Yong Zhou
- Yalong River Hydropower Development Company, Ltd., 288 Shuanglin Road, Chengdu 610051, China
| | - Yubo Zhou
- School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MoE), Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - Ran Huo
- Shandong Institute of Advanced Technology, Jinan 250103, Shandong, China
| | - Haibo Yu
- Department of Physics and Astronomy, University of California, Riverside, California 92507, USA
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Huang R, Zhang G, Zhou Z, Lin M, Xian S, Gong M, Yin H, Meng T, Liu X, Wang X, Wang Y, Chen W, Zhang C, Du E, Lin Q, Wu H, Huang Z, Zhang J, Xu D, Ji S. A multi-center cross-sectional study on identification of influencing factors of medical students' emotional engagement in China. BMC Med Educ 2023; 23:838. [PMID: 37936085 PMCID: PMC10631166 DOI: 10.1186/s12909-023-04504-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 07/09/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND Studies exploring influencing factors of emotional engagement among medical students are scarce. Thus, we aimed to identify influencing factors of medical students' emotional engagement. METHODS We carried out a multi-center cross-sectional study among 10,901 medical students from 11 universities in China. The Chinese version of Utrecht Work Engagement Scale-Student version (UWES-S) was used to evaluate emotional engagement level of medical students. The predictors related to engagement level were determined by the logistic regression analysis. Furthermore, we constructed a nomogram to predict emotional engagement level of medical students. RESULTS A total of 10,576 sample were included in this study. The mean emotional engagement score was 74.61(± 16.21). In the multivariate logistic regression model, we found that males showed higher engagement level compared with females [odds ratio (OR) (95% confidence interval (CI)): 1.263 (1.147, 1.392), P < 0.001]. Medical students from the second batches of medical universities had higher engagement level and from "Project 985" universities had lower engagement level compared with 211 project universities [OR (95%CI): 1.376 (1.093, 1.733), P = 0.007; OR (95%CI): 0.682 (0.535, 0.868), P = 0.002]. Medical students in grade 4 and grade 2 presented lower engagement level compared with in grade 1 [OR (95%CI): 0.860 (0.752, 0.983), P = 0.027; OR (95%CI): 0.861 (0.757, 0.980), P = 0.023]. Medical students lived in provincial capital cities had higher engagement level compared with in country [OR (95%CI): 1.176 (1.022, 1.354), P = 0.024]. Compared with eight-year emotional duration, medical students in other emotional duration (three-year and four-year) had lower engagement level [OR (95%CI): 0.762 (0.628, 0.924), P = 0.006]. Medical students' engagement level increased with increases of grade point average and interest in studying medicine. Medical students learned by converging style showed lower engagement level [OR (95%CI): 0.827 (0.722, 0.946), P = 0.006] compared with accommodating style. The model showed good discriminative ability (area under curve = 0.778), calibrating ability and clinical utility. CONCLUSIONS We identified influencing factors of medical students' emotional engagement and developed a nomogram to predict medical students' emotional engagement level, providing reference and convenience for educators to assess and improve emotional engagement level of medical students. It is crucial for educators to pay more attention to emotional engagement of medical students and adopt effective strategies to improve their engagement level.
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Affiliation(s)
- Runzhi Huang
- Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China
- Research Unit of key techniques for treatment of burns and combined burns and trauma injury, Chinese Academy of Medical Sciences, Shanghai, People's Republic of China
| | - Guoyang Zhang
- Maastricht University School of Health Professions Education, Maastricht, The Netherlands
| | - Zhitong Zhou
- Tongji University School of Medicine, Shanghai, 200092, China
| | - Min Lin
- Mental Health Education and Consultation Center, Chongqing Medical University, 61 Daxuecheng Middle Road, Chongqing, 401331, China.
| | - Shuyuan Xian
- Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China
- Research Unit of key techniques for treatment of burns and combined burns and trauma injury, Chinese Academy of Medical Sciences, Shanghai, People's Republic of China
| | - Meiqiong Gong
- Office of Educational Administration, Shanghai University, Shanghai, 200444, China
| | - Huabin Yin
- Department of Orthopedics, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, 100 Haining Road, Shanghai, China.
| | - Tong Meng
- Department of Orthopedics, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, 100 Haining Road, Shanghai, China.
| | - Xin Liu
- Department of Rheumatology and Immunology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Beijing, 100069, China.
| | - Yue Wang
- Department of Health Statistics, School of Public Health, Air Force Medical University, No.169, Changle West Road, Xi'an, 710032, China.
| | - Wenfang Chen
- Faculty of Medicine, Jinggangshan University, 28 Xueyuan Road, Ji'An, 343009, China.
| | - Chongyou Zhang
- Basic Medical College, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang, 150081, China.
| | - Erbin Du
- Frist Clinical Medical College, Mudanjiang Medical University, 66 Tongxiang Street, Mudanjiang, 157011, China.
| | - Qing Lin
- Department of Human Anatomy, Laboratory of Clinical Applied Anatomy, School of Basic Medical Sciences, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, China.
| | - Hongbin Wu
- National Centre for Health Professions Education Development, Peking University, Beijing, 100191, China.
- Institute of Medical Education, Peking University, 5 YiHeYuan Road, Beijing, 100871, China.
| | - Zongqiang Huang
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China.
| | - Jie Zhang
- Maastricht University School of Health Professions Education, Maastricht, The Netherlands.
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, 2699 Gaoke West Road, Shanghai, 201204, China.
| | - Dayuan Xu
- Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
- Research Unit of key techniques for treatment of burns and combined burns and trauma injury, Chinese Academy of Medical Sciences, Shanghai, People's Republic of China.
| | - Shizhao Ji
- Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
- Research Unit of key techniques for treatment of burns and combined burns and trauma injury, Chinese Academy of Medical Sciences, Shanghai, People's Republic of China.
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34
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Fang J, Wu J, Zhang T, Yuan X, Zhao J, Zheng L, Hong G, Yu L, Lin Q, An X, Jing C, Zhang Q, Wang C, Wang Z, Ma Q. Serum neurofilament light chain levels in migraine patients: a monocentric case-control study in China. J Headache Pain 2023; 24:149. [PMID: 37932721 PMCID: PMC10626745 DOI: 10.1186/s10194-023-01674-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 09/28/2023] [Indexed: 11/08/2023] Open
Abstract
PURPOSE Serum neurofilament light chain (sNfL) can reflect nerve damage. Whether migraine can cause neurological damage remain unclear. This study assesses sNfL levels in migraine patients and explores whether there is nerve damage in migraine. METHODS A case-control study was conducted in Xiamen, China. A total of 138 migraine patients and 70 healthy controls were recruited. sNfL (pg/mL) was measured on the single-molecule array platform. Univariate, Pearson correlation and linear regression analysis were used to assess the relationship between migraine and sNfL levels, with further subgroup analysis by migraine characteristics. RESULTS Overall, 85.10% of the 208 subjects were female, with a median age of 36 years. sNfL levels were higher in the migraine group than in the control group (4.85 (3.49, 6.62) vs. 4.11 (3.22, 5.59)), but the difference was not significant (P = 0.133). The two groups showed an almost consistent trend in which sNfL levels increased significantly with age. Subgroup analysis showed a significant increase in sNfL levels in patients with a migraine course ≥ 10 years (β = 0.693 (0.168, 1.220), P = 0.010). Regression analysis results show that age and migraine course are independent risk factors for elevated sNfL levels, and there is an interaction between the two factors. Patients aged < 45 years and with a migraine course ≥ 10 years have significantly increased sNfL levels. CONCLUSIONS This is the first study to evaluate sNfL levels in migraine patients. The sNfL levels significantly increased in patients with a migraine course ≥ 10 years. More attention to nerve damage in young patients with a long course of migraine is required.
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Affiliation(s)
- Jie Fang
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
| | - Jielong Wu
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- School of Medicine, Xiamen University, Xiamen, China
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Tengkun Zhang
- Department of Neurology, The Fifth Hospital of Xiamen, Xiamen, China
| | - Xiaodong Yuan
- Department of Gynecology, Xiamen Maternal and Child Health Care Hospital, Xiamen, China
| | - Jiedong Zhao
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Liangcheng Zheng
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Ganji Hong
- Cerebrovascular Interventional Department, Zhangzhou Hospital of Fujian Province, Zhangzhou, China
| | - Lu Yu
- Department of Neurology, Changxing People's Hospital, Huzhou, China
| | - Qing Lin
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Xingkai An
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Chuya Jing
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Qiuhong Zhang
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Chen Wang
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China
- Xiamen Key Laboratory of Brain Center, Xiamen, China
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China
| | - Zhanxiang Wang
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China.
- Xiamen Key Laboratory of Brain Center, Xiamen, China.
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China.
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China.
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China.
- School of Medicine, Xiamen University, Xiamen, China.
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
- Department of Neurosurgery and Department of Neuroscience, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China.
| | - Qilin Ma
- Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Xiamen, 361003, China.
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
- Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China.
- Xiamen Key Laboratory of Brain Center, Xiamen, China.
- Xiamen Medical Quality Control Center for Neurology, Xiamen, China.
- Fujian Provincial Clinical Research Center for Brain Diseases, Xiamen, China.
- Xiamen Clinical Research Center for Neurological Diseases, Xiamen, China.
- School of Medicine, Xiamen University, Xiamen, China.
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
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35
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Wu Z, Lin Q, Wang H, Chen J, Wang G, Fu G, Li L, Bian T. Intratumoral and Peritumoral Radiomics Based on Preoperative MRI for Evaluation of Programmed Cell Death Ligand-1 Expression in Breast Cancer. J Magn Reson Imaging 2023. [PMID: 37916918 DOI: 10.1002/jmri.29109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 10/17/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Programmed cell death ligand-1 (PD-L1) is a promising target for immune checkpoint blockade therapy in breast cancer. However, the preoperative evaluation of PD-L1 expression in breast cancer is rarely explored. PURPOSE To determine the ability of radiomics signatures based on preoperative dynamic contrast-enhanced (DCE) MRI to evaluate PD-L1 expression in breast cancer. STUDY TYPE Retrospective. POPULATION 196 primary breast cancer patients with preoperative MRI and postoperative pathological evaluation of PD-L1 expression, divided into training (n = 137, 28 PD-L1-positive) and test cohorts (n = 59, 12 PD-L1-positive). FIELD STRENGTH/SEQUENCE 3.0T; volume imaging for breast assessment DCE sequence. ASSESSMENT Radiomics features were extracted from the first phase of DCE-MRI by using the minimum redundancy maximum relevance method and least absolute shrinkage and selection operator algorithm. Three radiomics signatures were constructed based on the intratumoral, peritumoral, and combined intra- and peritumoral regions. The performance of the signatures was assessed using area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, specificity, and accuracy. STATISTICAL TESTS Univariable and multivariable logistic regression analysis, t-tests, chi-square tests, Fisher exact test or Yates correction, ROC analysis, and one-way analysis of variance. P < 0.05 was considered significant. RESULTS In the test cohort, the combined radiomics signature (AUC, 0.853) exhibited superior performance compared to the intratumoral (AUC, 0.816; P = 0.528) and peritumoral radiomics signatures (AUC, 0.846; P = 0.905) in PD-L1 status evaluation, although the differences did not reach statistical significance. DATA CONCLUSION Intratumoral and peritumoral radiomics signatures based on preoperative breast MRI showed some potential accuracy for the non-invasive evaluation of PD-L1 status in breast cancer. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Zengjie Wu
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Qing Lin
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Haibo Wang
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Jingjing Chen
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Guanqun Wang
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Guangming Fu
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Lili Li
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Tiantian Bian
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
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36
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Wu Z, Lin Q, Song H, Chen J, Wang G, Fu G, Cui C, Su X, Li L, Bian T. Evaluation of Lymphatic Vessel Invasion Determined by D2-40 Using Preoperative MRI-Based Radiomics for Invasive Breast Cancer. Acad Radiol 2023; 30:2458-2468. [PMID: 36586760 DOI: 10.1016/j.acra.2022.11.024] [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: 10/12/2022] [Revised: 11/14/2022] [Accepted: 11/18/2022] [Indexed: 12/30/2022]
Abstract
RATIONALE AND OBJECTIVES Preoperative prediction of LVI status can facilitate personalized therapeutic planning. This study aims to investigate the efficacy of preoperative MRI-based radiomics for predicting lymphatic vessel invasion (LVI) determined by D2-40 in patients with invasive breast cancer. MATERIALS AND METHODS A total of 203 patients with pathologically confirmed invasive breast cancer, who underwent preoperative breast MRI, were retrospectively enrolled and randomly assigned to the following cohorts: training cohort (n=141) and test cohort (n=62). Then, univariate and multivariate logistic regression were performed to select independent risk factors and build a clinical model. Afterwards, least absolute shrinkage and selection operator (LASSO) logistic regression was performed to select predictive features extracted from the early and delay enhancement dynamic contrast-enhanced (DCE)-MRI images, and a radiomics signature was established. Subsequently, a nomogram model was constructed by incorporating the radiomics score and risk factors. Receiver operating characteristic curves were performed to determine the performance of various models. The efficacy of the various models was evaluated using calibration and decision curves. RESULTS Fourteen radiomics features were selected to construct the radiomics model. The size of the lymph node was identified as an independent risk factor of the clinical model. The nomogram model demonstrated the best calibration and discrimination performance in both the training and test cohorts, with an area under the curve of 0.873 (95% confidence interval [CI]: 0.807-0.923) and 0.902 (95% CI: 0.800-0.963), respectively. The decision curve illustrated that the nomogram model added more net benefits, when compared to the radiomics signature and clinical model. CONCLUSION The nomogram model based on preoperative DCE-MRI images exhibits satisfactory efficacy for the noninvasive prediction of LVI determined by D2-40 in invasive breast cancer.
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Affiliation(s)
- Zengjie Wu
- Department of Radiology, the Affiliated Hospital of Qingdao University, Shandong, China
| | - Qing Lin
- Breast Disease Center, the Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266000, Shandong, China
| | - Hongming Song
- Breast Disease Center, the Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266000, Shandong, China
| | - Jingjing Chen
- Breast Disease Center, the Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266000, Shandong, China
| | - Guanqun Wang
- Department of Pathology, the Affiliated Hospital of Qingdao University, Shandong, China
| | - Guangming Fu
- Department of Pathology, the Affiliated Hospital of Qingdao University, Shandong, China
| | - Chunxiao Cui
- Breast Disease Center, the Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266000, Shandong, China
| | - Xiaohui Su
- Breast Disease Center, the Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266000, Shandong, China
| | - Lili Li
- Breast Disease Center, the Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266000, Shandong, China
| | - Tiantian Bian
- Breast Disease Center, the Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266000, Shandong, China..
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Lin Q, Shan X, Li X, Luo Z, Yu X, Liu H, Wang S, Zhao X, Zhu Y, Zhou H, Luo L, You J. Solvent exchange-motivated and tunable in situ forming implants sustaining triamcinolone acetonide release for arthritis treatment. Int J Pharm 2023; 645:123383. [PMID: 37678476 DOI: 10.1016/j.ijpharm.2023.123383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 08/17/2023] [Accepted: 09/04/2023] [Indexed: 09/09/2023]
Abstract
Arthritis is a syndrome characterized by inflammation in the joints. Triamcinolone acetonide (TA) was used as an anti-inflammatory agent in the treatment of this disease. However, there are limitations to its clinical application, including rapid clearance from the joint cavity, potential joint damage from multiple injections, and adverse joint events. To address these drawbacks, we developed a tunable in situ forming implant loaded with TA. This injectable polymer solution utilized poly (lactic-co-glycolic acid) (PLGA) as an extended-release material. When injected into the joints, the solution solidifies into implants through a solvent exchange in the aqueous environment. The implants demonstrated robust retention at the injection site and released TA over several weeks even months through diffusion and erosion. By adding different proportions of low water-miscible plasticizers, the release period of the drug could be precisely adjusted. The plasticizers-optimized implants exhibited a tough texture, enhancing the therapeutic efficiency and drug safety in vivo. In arthritic model studies, the tunable TA-loaded implants significantly reduced swelling, pain, and motor discoordination, and also showed suppression of arthritis progression to some extent. These findings suggested that TA-loaded ISFI holds promise for managing inflammatory disorders in individuals with arthritis.
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Affiliation(s)
- Qing Lin
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Xinyu Shan
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Xiang Li
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Zhenyu Luo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Xin Yu
- College of Traditional Chinese Medicine, Shenyang Pharmaceutical University, No. 26 Huatuo Dajie, Benxi, Liaoning 117004, China
| | - Huihui Liu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Sijie Wang
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Xiaoqi Zhao
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Ying Zhu
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Huanli Zhou
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Lihua Luo
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China; Jinhua Institute of Zhejiang University, 321299 Jinhua, China.
| | - Jian You
- College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China; Jinhua Institute of Zhejiang University, 321299 Jinhua, China; Zhejiang-California International Nanosystems Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, Zhejiang, China.
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Lin Q, Fang ZJ. Establishment and evaluation of a risk prediction model for gestational diabetes mellitus. World J Diabetes 2023; 14:1541-1550. [PMID: 37970129 PMCID: PMC10642414 DOI: 10.4239/wjd.v14.i10.1541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/21/2023] [Accepted: 09/14/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a condition characterized by high blood sugar levels during pregnancy. The prevalence of GDM is on the rise globally, and this trend is particularly evident in China, which has emerged as a significant issue impacting the well-being of expectant mothers and their fetuses. Identifying and addressing GDM in a timely manner is crucial for maintaining the health of both expectant mothers and their developing fetuses. Therefore, this study aims to establish a risk prediction model for GDM and explore the effects of serum ferritin, blood glucose, and body mass index (BMI) on the occurrence of GDM. AIM To develop a risk prediction model to analyze factors leading to GDM, and evaluate its efficiency for early prevention. METHODS The clinical data of 406 pregnant women who underwent routine prenatal examination in Fujian Maternity and Child Health Hospital from April 2020 to December 2022 were retrospectively analyzed. According to whether GDM occurred, they were divided into two groups to analyze the related factors affecting GDM. Then, according to the weight of the relevant risk factors, the training set and the verification set were divided at a ratio of 7:3. Subsequently, a risk prediction model was established using logistic regression and random forest models, and the model was evaluated and verified. RESULTS Pre-pregnancy BMI, previous history of GDM or macrosomia, hypertension, hemoglobin (Hb) level, triglyceride level, family history of diabetes, serum ferritin, and fasting blood glucose levels during early pregnancy were de-termined. These factors were found to have a significant impact on the development of GDM (P < 0.05). According to the nomogram model's prediction of GDM in pregnancy, the area under the curve (AUC) was determined to be 0.883 [95% confidence interval (CI): 0.846-0.921], and the sensitivity and specificity were 74.1% and 87.6%, respectively. The top five variables in the random forest model for predicting the occurrence of GDM were serum ferritin, fasting blood glucose in early pregnancy, pre-pregnancy BMI, Hb level and triglyceride level. The random forest model achieved an AUC of 0.950 (95%CI: 0.927-0.973), the sensitivity was 84.8%, and the specificity was 91.4%. The Delong test showed that the AUC value of the random forest model was higher than that of the decision tree model (P < 0.05). CONCLUSION The random forest model is superior to the nomogram model in predicting the risk of GDM. This method is helpful for early diagnosis and appropriate intervention of GDM.
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Affiliation(s)
- Qing Lin
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350001, Fujian Province, China
| | - Zhuan-Ji Fang
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350001, Fujian Province, China
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Lin Q, Lin L, Li L, Zheng YF, Hu DW, Zhang G. Dynamic changes of oligodendrogenesis in neonatal rats with hypoxic-ischemic white matter injury. Brain Res 2023; 1817:148495. [PMID: 37481153 DOI: 10.1016/j.brainres.2023.148495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND White matter injury (WMI) is an important type of preterm brain injury, which may result in severe neurological sequelae and lack of effective treatments. It is ascertained that selective vulnerability of oligodendrocytes is closely related to the WMI in preterm infants. But the alteration of the endogenous oligodendrogenesis over long time after hypoxic-ischemic WMI is still not clearly elucidated. METHODS We adopted an animal model of hypoxic-ischemic WMI in 3-day-old neonatal Sprague-Dawley rats. Immunofluorescence staining and western blotting were used to detect dynamic changes of oligodendrogenesis in the white matter region on postoperative day (POD) 1, 3, 7, 14, 28, 56 and 84. RESULTS In the sham group, the oligodendrocyte lineage in the white matter reached a developmental peak from POD 3 to 14. The proliferation and development of oligodendrocyte precursor cells (OPCs) occurred primarily within POD 14. The number of mature oligodendrocytes showed an upward trend and a dynamic change in proliferation over time. While in the WMI group, the oligodendrocyte lineage was upregulated on POD1 and 3 but downregulated on POD 7 and 14. The proliferation of OPCs increased on POD 1 and decreased on POD 3 and 7, with the total number of OPCs significantly reduced from POD 3 to 14. The number of mature oligodendrocytes decreased from POD 3 to 28, and return to the level of the sham group on POD 56 and 84, whereas the MBP expression was still significantly downregulated on POD 56 and 84. CONCLUSIONS Hypoxia-ischemia can have a long-term dynamic effect on the endogenous oligodendrogenesis of neonatal rat brain white matter. The proliferation of OPCs was promoted on POD 1 but inhibited from POD 3 to 14, which may be an early intervention target to improve oligodendrogenesis. The number of mature oligodendrocytes recover to the normal on POD 56 and 84 but the myelination is still blocked, which suggests it is essential to promote the maturation of oligodendrocyte and its function recovery at the same time within POD 28. Such efforts will provide the opportunity to test new interventions in pre-clinical studies for their promising clinical application.
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Affiliation(s)
- Qing Lin
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, Fujian Medical University, Fuzhou, China; Laboratory of Clinical Applied Anatomy, Department of Human Anatomy, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
| | - Ling Lin
- Public Technology Service Center, Fujian Medical University, Fuzhou, China
| | - Li Li
- Assisted Reproduction Centre, Obstetrics and Gynecology Department, 900TH Hospital of Joint Logistics Support Force, Fuzhou, China
| | - Yu-Fen Zheng
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, Fujian Medical University, Fuzhou, China
| | - Ding-Wang Hu
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, Fujian Medical University, Fuzhou, China; Laboratory of Clinical Applied Anatomy, Department of Human Anatomy, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
| | - Geng Zhang
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, Fujian Medical University, Fuzhou, China; Laboratory of Clinical Applied Anatomy, Department of Human Anatomy, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
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Li S, Kang T, Wu J, Chen W, Lin Q, Wu Z, Wang J, Cai C, Cai S. Sub-second whole brain T 2mapping via multiband SENSE multiple overlapping-echo detachment imaging and deep learning. Phys Med Biol 2023; 68. [PMID: 37726009 DOI: 10.1088/1361-6560/acfb71] [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: 03/27/2023] [Accepted: 09/19/2023] [Indexed: 09/21/2023]
Abstract
Objective. Most quantitative magnetic resonance imaging (qMRI) methods are time-consuming. Multiple overlapping-echo detachment (MOLED) imaging can achieve quantitative parametric mapping of a single slice within around one hundred milliseconds. Nevertheless, imaging the whole brain, which involves multiple slices, still takes a few seconds. To further accelerate qMRI, we introduce multiband SENSE (MB-SENSE) technology to MOLED to realize simultaneous multi-slice T2mapping.Approach.The multiband MOLED (MB-MOLED) pulse sequence was carried out to acquire raw overlapping-echo signals, and deep learning was utilized to reconstruct T2maps. To address the issue of image quality degradation due to a high multiband factor MB, a plug-and-play (PnP) algorithm with prior denoisers (DRUNet) was applied. U-Net was used for T2map reconstruction. Numerical simulations, water phantom experiments and human brain experiments were conducted to validate our proposed approach.Main results.Numerical simulations show that PnP algorithm effectively improved the quality of reconstructed T2maps at low signal-to-noise ratios. Water phantom experiments indicate that MB-MOLED inherited the advantages of MOLED and its results were in good agreement with the results of reference method.In vivoexperiments for MB = 1, 2, 4 without the PnP algorithm, and 4 with PnP algorithm indicate that the use of PnP algorithm improved the quality of reconstructed T2maps at a high MB. For the first time, with MB = 4, T2mapping of the whole brain was achieved within 600 ms.Significance.MOLED and MB-SENSE can be combined effectively. This method enables sub-second T2mapping of the whole brain. The PnP algorithm can improve the quality of reconstructed T2maps. The novel approach shows significant promise in applications necessitating high temporal resolution, such as functional and dynamic qMRI.
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Affiliation(s)
- Simin Li
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China
| | - Taishan Kang
- Department of MRI, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361004, People's Republic of China
| | - Jian Wu
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China
| | - Weikun Chen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China
| | - Qing Lin
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China
| | - Zhigang Wu
- MSC Clinical & Technical Solutions, Philips Healthcare, Beijing 100600, People's Republic of China
| | - Jiazheng Wang
- MSC Clinical & Technical Solutions, Philips Healthcare, Beijing 100600, People's Republic of China
| | - Congbo Cai
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China
| | - Shuhui Cai
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China
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Zhu Y, Sun X, Jiang C, Lin Q, Weng D, Chen W, Xu Y, Shang J. Adaptive Radiotherapy Guided by PET/CT in Patients with Locally Advanced Non-Small Cell Lung Cancer: A Phase II Randomized Study. Int J Radiat Oncol Biol Phys 2023; 117:S28. [PMID: 37784466 DOI: 10.1016/j.ijrobp.2023.06.288] [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 aim of this study was to determine whether adaptive radiotherapy guided by functional imaging with flourine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) can improve local tumor control in patients with locally advanced non-small cell lung cancer (LA-NSCLC). MATERIALS/METHODS This was a phase II randomized study comparing the efficacy and safety between PET-guided adaptive radiotherapy and conventional radiotherapy. The primary end point was 2-year local-regional tumor control (LRTC) rate. Secondary end points included local-regional progression-free survival (LR-PFS), progression-free survival (PFS), overall survival (OS), and radiation-related toxicities. RESULTS Between November 2012 and June 2017, 72 patients were 1:1 randomized to adaptive and conventional arms. The 2- and 5-year LRTC rates were 63.2% and 58.0% versus 43.0% and 37.6% (P = 0.035) in the adaptive and conventional arms, respectively. The median LR-PFS (14.3 versus 12.0 months; P = 0.010) and PFS (12.8 versus 8.9 months; P = 0.034) were significantly longer in the adaptive arm than in the conventional arm. The median OS was 36.3 months in the adaptive arm and 28.8 months in the conventional arm (P = 0.266). The esophageal volume of receiving ≥60 Gy (V60) in the adaptive arm was lower than that in the conventional arm (P = 0.011), while the V30 for the heart in the adaptive arm was lower than that in the conventional arm (P = 0.077). Other radiological metrological parameters of tumor, organs at risk, and the incidence of ≥grade 2 radiation-related toxicities were not significantly different between the 2 arms. CONCLUSION Compared with conventional radiotherapy, PET-guided adaptive radiotherapy significantly improved the 2-year LRTC rate, LR-PFS, and PFS without increased risks of radiation-related toxicities in patients with LA-NSCLC.
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Affiliation(s)
- Y Zhu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - X Sun
- Department of Radiation Oncology, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - C Jiang
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Q Lin
- Department of Radiation Oncology, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - D Weng
- Department of Radiation Oncology, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - W Chen
- Department of Radiation Oncology, Zhejiang Provincial Hospital, Hangzhou, China
| | - Y Xu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China; Department of Radiation Oncology, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - J Shang
- Department of Head and Neck Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
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Cao L, Yang J, Zhou M, Yu B, Lin Q, Yao Y, Wu HL, Zhu QW, Ye M, Xie H, Wu JW, Chen JY. Does Dual Anti-HER2 Therapy Increase Early Cardiac Toxicity in Comparison with Trastuzumab Alone in Breast Cancer Patients Receiving Adjuvant Radiotherapy? A Multicenter Retrospective Study. Int J Radiat Oncol Biol Phys 2023; 117:e166. [PMID: 37784767 DOI: 10.1016/j.ijrobp.2023.06.1002] [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) Adjuvant trastuzumab in combination with RT has proved its safety in terms of cardiac events. Dual anti-HER2 therapy with pertuzumab is currently standard adjuvant therapy in N+ and high-risk N0 early breast cancer (BC) patients. Our study aims to find if it increases early cardiac toxicity compared with trastuzumab alone in BC patients receiving adjuvant radiotherapy. MATERIALS/METHODS Operable BC patients who received adjuvant radiotherapy (RT) and trastuzumab with or without pertuzumab between January 2017 and September 2020 in 7 Chinese centers were retrospectively reviewed. The cardiac examination included ultrasonography, electrocardiogram (ECG), NT-proBNP, and cTnI before RT and during follow-up. The cardiac event was any new-onset symptomatic heart disease or abnormality in the cardiac examination after RT. RESULTS In total, 711 patients with a median age of 52 years were included, of whom 567 (79.7%) patients were treated with trastuzumab-only and 144 (20.3%) patients received dual anti-HER2 therapy. Adjuvant RT was given concurrently in 140/144 (97.2%) of dual anti-HER2 therapy and 562/567 (99.1%) of trastuzumab alone, respectively. With a median follow-up of 11 months, no patients developed symptomatic heart diseases. Among patients with normal baseline, 17 (2.4%), 86 (12.1%), 18 (2.5%) and 14 (7.3%) developed new-onset diastolic dysfunction, left ventricular ejection fraction (LVEF) decline, abnormal ECG, and abnormal NT-proBNP, respectively. No significant difference was found between the trastuzumab-only and dual anti-HER2 cohort in the incidence of all kinds of new-onset cardiac events (all p > 0.1). Multivariate analysis showed that left-sided (vs right-sided) RT significantly increased the risk of ECG abnormality (HR = 2.32, 95% CI 1.62-3.32, p<0.001). Increased age was an independent risk factor for diastolic dysfunction (HR = 1.1, 95% CI 1.02-1.18, p = 0.0098). Dosimetric analysis showed that patients who developed any cardiac events had increased mean heart dose (397.67±251.08 vs 344.87±236.75 cGy, p = 0.032). A significant increase in risk of cardiac events was found in patients with mean heart dose > 450 cGy (HR = 1.55, 95% CI 1.17-2.05, p = 0.0024), V5 > 26% (HR = 1.51, 95% CI 1.09-2.09, p = 0.013), and V30 > 5.5% (HR = 1.49, 95% CI 1.09-2.04, p = 0.0117), respectively. Further analysis was done in the subgroup of patients treated with left-sided RT, internal mammary nodes RT, or anthracyclines, no difference in risk of cardiac events was found between trastuzumab alone and dual anti-HER2 therapy in concurrent with RT (all p > 0.05). CONCLUSION Compared with trastuzumab-only, dual anti-HER2 therapy does not increase early cardiac toxicity in combination with adjuvant RT in BC patients. Cardiac radiation exposure remains the primary risk factor associated with early cardiac toxicity.
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Affiliation(s)
- L Cao
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Yang
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Zhou
- Department of Radiotherapy, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, China
| | - B Yu
- Department of Radiotherapy, the Affiliated Jiangyin Hospital of Nantong University, Jiangyin, China
| | - Q Lin
- Department of Radiation Oncology, Shanghai Tenth People's Hospital, Shanghai, China
| | - Y Yao
- Department of Radiotherapy, Shanghai Ninth People's Hospital, Shanghai, China
| | - H L Wu
- Department of Radiation Oncology, Shanghai Tenth People's Hospital, Shanghai, China
| | - Q W Zhu
- Department of Radiation Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - M Ye
- Department of Radiation Oncology, Renji Hospital, Shanghai Jiaotong University School of Medicine, China, Shanghai, China
| | - H Xie
- Department of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - J W Wu
- Department of Radiotherapy, Shanghai Ninth People's Hospital, Shanghai, China
| | - J Y Chen
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Bi N, Deng L, Hu X, Shayan G, Zhao L, Zhang L, Jiang W, Zhang J, Zhu X, Wang Y, Ge H, Cao J, Lin Q, Chen M, Wang L. 30 Gy vs. 45 Gy Consolidative Thoracic Radiation (cTRT) for Extensive Stage Small Cell Lung Cancer (ES-SCLC): A Multicenter, Randomized, Phase 3 Trial. Int J Radiat Oncol Biol Phys 2023; 117:S56-S57. [PMID: 37784527 DOI: 10.1016/j.ijrobp.2023.06.350] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Consolidative thoracic radiotherapy (cTRT) showed potential benefit to extensive stage small cell lung cancer (ES-SCLC). However, the optimum dose of cTRT is unknown. The purpose of this randomized trial was to compare the effect of 45 Gy in 15 fractions with 30 Gy in 10 fractions cTRT in ES-SCLC. MATERIALS/METHODS This phase III, randomized trial was conducted in 12 public hospitals in China. Eligible patients with pathologically confirmed ES-SCLC who responded to 4-6 cycles of etoposide plus cisplatin (EP) or carboplatin (EC) chemotherapy were randomized 1:1 to receive either 30 Gy in 10 fractions or 45 Gy in 15 fractions cTRT. The primary outcome was 2-year overall survival (OS). Secondary outcomes included 2-year progression-free survival (PFS), 2-year local control (LC) and radiation treatment related toxicity. The primary objective was to detect an OS improvement in 45 Gy cTRT group at 2 years from 13% to 26% assuming a two-sided a = 0.05 and power of 85%, with a planned sample size of 186 patients. This trial was registered with Clinical Trials.gov, number NCT02675088. RESULTS Between January 15, 2016, and September 20, 2022, 90 patients were randomly assigned either 30 Gy in 10 fractions (n = 50) or 45 Gy in 15 fractions (n = 40) cTRT group. Recruitment to the trial closed early due to slow accrual since first-line chemoimmunotherapy has become the new standard of care for ES-SCLC. The median age of patients was 58 years, 87.8% were male, 76.7% had a smoking history, 95.6% received IMRT, and 58.9% received prophylactic cranial irradiation. At a median follow-up of 39.9 months (IQR 27.2-59.2), there was no significant difference in the 2-year OS between the 45 Gy group and the 30 Gy group, at 43.4% (95% CI 29.3%-64.3%) and 40.0% (95% CI 27.9%-59.1%), respectively (log-rank p = 0.62; HR 1.13 [95% CI 0.69-1.84]). The 2-year PFS was 12.1% (95% CI 4.3%-33.8%) in the 45 Gy group and 9.0% (95% CI 3.2%-25.2%) in the 30 Gy group (log-rank p = 0.25, HR 0.76(95% CI [0.478-1.22]). There were also no significant differences in locoregional recurrence free survival (log-rank p = 0.75; HR 0.888 [95% CI 0.423-1.863]) and distant metastasis free survival (log-rank p = 0.95; HR 1.015 [95% CI 0.624-1.651]) between two groups. No grade 5 toxicity was observed in both groups. Patients treated with higher cTRT dose presented with increased incidence of grade 3+ radiation pneumonitis (10% vs 2%) and hematological toxicity (20% vs 12.5%). CONCLUSION This randomized trial did not find a higher probability of survival improvement in patients with ES-SCLC receiving cTRT of 45 Gy in 15 fractions compared with 30 Gy in 10 fractions. In contrast, there was an increase in toxicity, especially radiation pneumonitis. Additional randomized studies investigating the role of cTRT in ES-SCLC after a response to chemoimmunotherapy are warranted.
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Affiliation(s)
- N Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Hu
- Department of Radiation Oncology, Zhejiang Cancer Hospital, Institute of Basic Medical Sciences and Cancer Research, Chinese Academy of Sciences, Zhejiang Provincial Key Laboratory of Radiation Oncology, Hangzhou, China
| | - G Shayan
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Zhao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - L Zhang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - W Jiang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China, Shenzhen, China
| | - J Zhang
- Shanghai Medical College, Fudan University, Shanghai, China
| | - X Zhu
- Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer Hospital, Nanjing, China
| | - Y Wang
- Department of Radiotherapy, Air Force Medical Center, Beijing, China
| | - H Ge
- The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - J Cao
- Shanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Q Lin
- The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - M Chen
- Zhejiang Cancer Hospital, Hangzhou, China; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - L Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, Beijing, China; Department of Radiation Oncology, National Cancer Center/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
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Chen J, Xie JR, Xu FF, Cai G, Wang SB, Huang XB, Zhu QW, Zhao YT, Lin Q, Ye M, Yao Y, Yu B, Xu HP, Cai R, Qi WX, Xu C, Cao L. Quality Assurance of Protocol Compliance in a Multicenter Randomized Trial Investigating the Role of Hypofractionated Comprehensive Reginal Nodal Irradiation in Node-Positive Breast Cancer (HARVEST). Int J Radiat Oncol Biol Phys 2023; 117:e168-e169. [PMID: 37784772 DOI: 10.1016/j.ijrobp.2023.06.1007] [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 HARVEST trial (NCT03829553) is a phase III, multicenter, randomized clinical trial to explore efficacy and safety of hypofractionated irradiation (HFI) involving regional nodal irradiation (RNI, including internal mammary nodes, IMN) in N+ breast cancer patients treated with mastectomy or breast conserving surgery (BCS). Current study aims to analyze the dosimetric quality assurance so as to evaluate the compliance to the trial protocol. MATERIALS/METHODS Eligible patients were randomly assigned (1:1) to receive conventional fractionated irradiation (CFI: 50 Gy/25Fx) or HFI (40.05 Gy/15Fx), which is delivered to ipsilateral chest wall or whole breast (CW/WB) with tumor bed boost (HFI: 10.68 Gy/4Fx; CFI: 10 Gy/5Fx) and comprehensive RNI (supra/infraclavicular nodes and IMN in each patient, lower axilla if indicated) by using IMRT technique. The plan quality was evaluated based on dose distribution, dose volume histogram (DVH) and field parameters. The target coverage, including planning target volume of CW/WB (PTV1) and tumor bed (PTV2) and doses of the organs at risk (OARs) were evaluated. The LQ model was used to convert doses of OARs in HFI group using α/β = 3 Gy (EQD23) for comparison. RESULTS Between Feb 21, 2019 and Feb 14, 2022, 801 patients were enrolled at 8 centers with 401 and 400 in CFI and HFI group, respectively. There were 182 patients received BCS and 387 patients were with more than three positive lymph nodes. In the CFI group, the D90 and V45 of PTV1 reached the prescribed dose in 70.6% and 96.0% of the patients, respectively. In the HFI group, the D90 and V36 of PTV1 reached the prescribed dose in 87.8% and 95.5% of the patients, respectively. When the tumor bed was irradiated, the D90 of PTV2 reached the prescribed dose in 95.6% in the CFI group and 100% in the HFI group, respectively. The mean D90 of PTV1 and PTV2 were 50.09±0.65 Gy and 60.63±0.91 Gy in CFI group while 40.11±0.56 Gy and 50.79±2.03 Gy in HFI group. For OARs constraints, protocol compliance was all above 95% (heart: 95.3%; ipsilateral lung: 95.5%; contralateral lung: 97.1%; humeral head: 98.2% and spinal cord: 100%) with no significant difference between CFI and HFI groups. For patients with left-sided breast cancer, the Dmean of the heart was 5.10±1.75 Gy vs. 4.59±1.86 Gy (EQD23) in CFI and HFI groups (p = 0.51), respectively. No significant differences in Dmean of the heart (1.45±0.71 Gy vs. 1.33±0.77 Gy (EQD23), p = 0.40) was found either between two groups in right-sided patients. The differences were significant in the Dmean of the ipsilateral lung (13.37±1.99 Gy vs. 11.17±3.50 Gy (EQD23), p<0.01), contralateral lung (0.88±0.73 Gy vs. 0.74±0.61 Gy (EQD23), p<0.01) and the ipsilateral humeral head (15.27±7.62 Gy vs. 13.05±6.19 Gy (EQD23), p<0.01) and the Dmax of spinal cord (21.40±8.82 Gy vs. 19.47±7.99 Gy (EQD23), p = 0.05) between CFI and HFI groups. CONCLUSION A high degree of compliance with protocol dose constraints was found for treatment plans in the HARVEST trial and doses to the most of OARs decreased in HFI group.
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Affiliation(s)
- J Chen
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J R Xie
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - F F Xu
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - G Cai
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - S B Wang
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - X B Huang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Q W Zhu
- Department of Radiation Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Y T Zhao
- Department of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Q Lin
- Department of Radiation Oncology, Shanghai Tenth People's Hospital, Shanghai, China
| | - M Ye
- Renji Hospital Affiliated Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Yao
- Department of Radiotherapy, Shanghai Ninth People's Hospital, Shanghai, China
| | - B Yu
- Department of Radiotherapy, the Affiliated Jiangyin Hospital of Nantong University, Jiangyin, China
| | - H P Xu
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - R Cai
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - W X Qi
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - C Xu
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - L Cao
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Kong Y, Luo Y, Zheng S, Yang J, Zhang D, Zhao Y, Zheng H, An M, Lin Y, Ai L, Diao X, Lin Q, Chen C, Chen R. Mutant KRAS Mediates circARFGEF2 Biogenesis to Promote Lymphatic Metastasis of Pancreatic Ductal Adenocarcinoma. Cancer Res 2023; 83:3077-3094. [PMID: 37363990 PMCID: PMC10502454 DOI: 10.1158/0008-5472.can-22-3997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 04/05/2023] [Accepted: 06/21/2023] [Indexed: 06/28/2023]
Abstract
Circular RNAs (circRNA) contribute to cancer stemness, proliferation, and metastasis. The biogenesis of circRNAs can be impacted by the genetic landscape of tumors. Herein, we identified a novel circRNA, circARFGEF2 (hsa_circ_0060665), which was upregulated in KRASG12D pancreatic ductal adenocarcinoma (PDAC) and positively associated with KRASG12D PDAC lymph node (LN) metastasis. CircARFGEF2 overexpression significantly facilitated KRASG12D PDAC LN metastasis in vitro and in vivo. Mechanistically, circARFGEF2 biogenesis in KRASG12D PDAC was significantly activated by the alternative splicing factor QKI-5, which recruited U2AF35 to facilitate spliceosome assembly. QKI-5 bound the QKI binding motifs and neighboring reverse complement sequence in intron 3 and 6 of ARFGEF2 pre-mRNA to facilitate circARFGEF2 biogenesis. CircARFGEF2 sponged miR-1205 and promoted the activation of JAK2, which phosphorylated STAT3 to trigger KRASG12D PDAC lymphangiogenesis and LN metastasis. Importantly, circARFGEF2 silencing significantly inhibited LN metastasis in the KrasG12D/+Trp53R172H/+Pdx-1-Cre (KPC) mouse PDAC model. These findings provide insight into the mechanism and metastasis-promoting function of mutant KRAS-mediated circRNA biogenesis. SIGNIFICANCE Increased splicing-mediated biogenesis of circARFGEF2 in KRAS-mutant pancreatic ductal adenocarcinoma activates JAK2-STAT3 signaling and triggers lymph node metastasis, suggesting circARFGEF2 could be a therapeutic target to inhibit pancreatic cancer progression.
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Affiliation(s)
- Yao Kong
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, P.R. China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P.R. China
| | - Yuming Luo
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, P.R. China
| | - Shangyou Zheng
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, P.R. China
| | - Jiabin Yang
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, P.R. China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, P.R. China
| | - Dingwen Zhang
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, P.R. China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, P.R. China
| | - Yue Zhao
- Department of Tumor Intervention, Sun Yat-sen University First Affiliated Hospital, Guangzhou, Guangdong, P.R. China
| | - Hanhao Zheng
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, P.R. China
| | - Mingjie An
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, P.R. China
| | - Yan Lin
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, P.R. China
| | - Le Ai
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, P.R. China
- Department of Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
| | - Xiayao Diao
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
| | - Qing Lin
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, P.R. China
| | - Changhao Chen
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, P.R. China
| | - Rufu Chen
- Department of Pancreas Center, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, P.R. China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, P.R. China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, P.R. China
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Huang Y, Lin Q, Tan X, Jia L, Li H, Zhu Z, Fu C, Wang L, Liu L, Mao M, Yi Z, Ma D, Li X. Rehmannia alcohol extract inhibits neuropeptide secretion and alleviates osteoarthritis pain through cartilage protection. Heliyon 2023; 9:e19322. [PMID: 37674829 PMCID: PMC10477487 DOI: 10.1016/j.heliyon.2023.e19322] [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: 08/13/2023] [Accepted: 08/18/2023] [Indexed: 09/08/2023] Open
Abstract
Osteoarthritis (OA) is a common joint disease characterized by chronic pain, and the perception of pain is closely associated with brain function and neuropeptide regulation. Rehmannia is common plant herb with anti-inflammatory and analgesic properties that is used to treat OA. However, it is unclear whether Rehmannia alleviates OA-related pain via regulation of neuropeptides and brain function. We examined the pain relief regulatory pathway in OA after treatment with Rehmannia by verifying the therapeutic effect of Rehmannia alcohol extract in vivo and vitro and exploring of the potential mechanism underlying the analgesic effect of Rahmanian using functional magnetic resonance imaging and measuring neuropeptide secretion. Our results showed that Rehmannia alcohol extract and the related active ingredient, Rehmannioside D, can delay cartilage degradation and alleviate inflammation in OA rats. The Rehmannia alcohol extract can also relieve OA pain, reduce the secretion of calcitonin gene-related peptide (CGRP) and substance P (SP), and reverse the pathological changes in the cerebral cortex and hippocampus. Our research results demonstrate that Rehmannia alleviates OA pain by protecting cartilage, preventing the stimulation of inflammatory factors on neuropeptide secretion, and influencing the relevant functional areas of the brain.
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Affiliation(s)
- Yanfeng Huang
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Qing Lin
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Xue Tan
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Liangliang Jia
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Hui Li
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- College of Pharmacy Science, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Zaishi Zhu
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Changlong Fu
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Lili Wang
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Linlong Liu
- College of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
| | - Min Mao
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Zhouping Yi
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Dezun Ma
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
| | - Xihai Li
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, 350122, China
- College of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
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Wu Z, Lin Q, Wang H, Wang G, Fu G, Bian T. An MRI-Based Radiomics Nomogram to Distinguish Ductal Carcinoma In Situ with Microinvasion From Ductal Carcinoma In Situ of Breast Cancer. Acad Radiol 2023; 30 Suppl 2:S71-S81. [PMID: 37211478 DOI: 10.1016/j.acra.2023.03.038] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/24/2023] [Accepted: 03/25/2023] [Indexed: 05/23/2023]
Abstract
RATIONALE AND OBJECTIVES Accurate preoperative differentiation between ductal carcinoma in situ with microinvasion (DCISM) and ductal carcinoma in situ (DCIS) could facilitate treatment optimization and individualized risk assessment. The present study aims to build and validate a radiomics nomogram based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) that could distinguish DCISM from pure DCIS breast cancer. MATERIALS AND METHODS MR images of 140 patients obtained between March 2019 and November 2022 at our institution were included. Patients were randomly divided into a training (n = 97) and a test set (n = 43). Patients in both sets were further split into DCIS and DCISM subgroups. The independent clinical risk factors were selected by multivariate logistic regression to establish the clinical model. The optimal radiomics features were chosen by the least absolute shrinkage and selection operator, and a radiomics signature was built. The nomogram model was constructed by integrating the radiomics signature and independent risk factors. The discrimination efficacy of our nomogram was assessed by using calibration and decision curves. RESULTS Six features were selected to construct the radiomics signature for distinguishing DCISM from DCIS. The radiomics signature and nomogram model exhibited better calibration and validation performance in the training (AUC 0.815, 0.911, 95% confidence interval [CI], 0.703-0.926, 0.848-0.974) and test (AUC 0.830, 0.882, 95% CI, 0.672-0.989, 0.764-0.999) sets than in the clinical factor model (AUC 0.672, 0.717, 95% CI, 0.544-0.801, 0.527-0.907). The decision curve also demonstrated that the nomogram model exhibited good clinical utility. CONCLUSION The proposed noninvasive MRI-based radiomics nomogram model showed good performance in distinguishing DCISM from DCIS.
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Affiliation(s)
- Zengjie Wu
- Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China (Z.W.)
| | - Qing Lin
- Breast Disease Center, the Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China (Q.L., H.W., T.B.)
| | - Haibo Wang
- Breast Disease Center, the Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China (Q.L., H.W., T.B.)
| | - Guanqun Wang
- Department of Pathology, the Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China (G.W., G.F.)
| | - Guangming Fu
- Department of Pathology, the Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China (G.W., G.F.)
| | - Tiantian Bian
- Breast Disease Center, the Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China (Q.L., H.W., T.B.).
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Lin J, Yang X, Su K, Yang F, He Y, Lin Q. Effects of Nonmagnetic Zn 2+ Ion and RE Ion Substitution on the Magnetic Properties of Functional Nanomaterials Co 1-yZn yRE xFe 2-xO 4 (RE = La, Sm, Gd) by Sol-Gel. Molecules 2023; 28:6280. [PMID: 37687110 PMCID: PMC10488930 DOI: 10.3390/molecules28176280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/03/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
Magnetic Functional Nanomaterials Co1-yZnyRExFe2-xO4 (RE (rare-earth) = La,Sm,Gd) were prepared using the sol-gel combustion method. XRD characterization confirms that the ferrite samples we synthesized are single-phase cubic structures. The variation in the average crystalline size and lattice parameter is related to RE ion doping. The Mössbauer spectra of CoRExFe2-xO4 are two sets of magnetic six-wire peaks that indicate the ferrimagnetic behavior of the sample. The calcination temperature greatly influences the absorption area of Mössbauer for CoFe2O4, indicating that the calcination temperature affects the iron ion content at the octahedral B and tetrahedral A sites. Additionally, scanning electron microscopy measurements of the substituted specimens reveal that the ferrite powders are nanoparticles. With an increase in RE ions, the coercivity increases, and the saturation magnetization changes obviously. The XRD characterization of Co0.7Zn0.3LaxFe2-xO4 shows that the main crystalline phase of the sample is the cubic spinel structure phase, and there are fewer secondary crystalline phases. The lattice parameter tends to decrease with the substitution of La3+ ions. The average grain size decreased significantly with the increase in La content. From ferrimagnetic state transition to relaxation behavior, the hyperfine magnetic field decreases in La concentration by room temperature Mössbauer spectra. With the substitution of La3+ ions, both the saturation magnetization and coercivity of the samples were reduced, and the coercivity of all samples was lower.
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Affiliation(s)
- Jinpei Lin
- College of Biomedical Information and Engineering, Hainan Medical University, Haikou 571199, China
- College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - Xingxing Yang
- Department of Civil Engineering, Jiangxi Water Resources Institute, Nanchang 330013, China
| | - Kaimin Su
- College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - Fang Yang
- College of Biomedical Information and Engineering, Hainan Medical University, Haikou 571199, China
| | - Yun He
- College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - Qing Lin
- College of Biomedical Information and Engineering, Hainan Medical University, Haikou 571199, China
- College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
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Ye QY, Lin Q, Hu XL, Yang YM, Zheng BL, Li T, Zhong WQ, Wang HY, Zhang ZF, Luo BJ, Xiao YW, Wu AL, Li Y, Zou ZL, Li LY, Li XY, Wang PP, Yang L, Zhu XF, Han L, Zhang RH. Efficacy and safety of combined Chinese and Western medicine in the treatment of knee osteoarthritis: a prospective, multicenter cohort study. Front Pharmacol 2023; 14:1176980. [PMID: 37701040 PMCID: PMC10494435 DOI: 10.3389/fphar.2023.1176980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 08/15/2023] [Indexed: 09/14/2023] Open
Abstract
Purpose: To conduct a real-world evaluation of the efficacy and safety of combined Chinese and Western medicine in treating knee osteoarthritis (KOA). Methods: A multicenter, prospective cohort study design was employed, enrolling 450 KOA patients (Kellgren-Lawrence score of 3 or less). The patients were divided into a Western medicine treatment group (WM group) and a combined Western and traditional Chinese medicine treatment group (WM-CM group). A 6-week treatment plan was administered, and follow-up visits occurred at 2 weeks, 4 weeks, and 6 weeks after initiating treatment. The primary outcome indicator was the total Western Ontario and McMaster Universities Arthritis Index (WOMAC) score after 6 weeks of treatment. Secondary outcome indicators included WOMAC subscales for pain, stiffness, and joint function, visual analogue scale (VAS) score, physical component summary (PCS), mental component summary (MCS), and clinical effectiveness. The incidence of drug-related adverse events was used as a safety evaluation indicator. Results: A total of 419 patients were included in the final analysis: 98 in the WM group and 321 in the WM-CM group. The baseline characteristics of the two groups were comparable, except for the incidence of stiffness symptoms and stiffness scores. After 6 weeks of treatment, the WM-CM group exhibited superior results to the WM group in improving the total WOMAC score (24.71 ± 1.38 vs. 16.36 ± 0.62, p < 0.001). The WM-CM group also outperformed the WM group in WOMAC pain and joint function scores, VAS score, PCS score, MCS score, and clinical effectiveness (p < 0.05), which was consistent with the findings of the main evaluation index. Subgroup analysis indicated that the combined Chinese and Western medicine treatment showed more pronounced benefits in patients under 65 years of age and in those with a Kellgren-Lawrence (K-L) classification of 0-I. Throughout the study, no adverse effects were observed in either group. Conclusion: The combination of Chinese and Western medicine demonstrated superiority over Western medicine alone in relieving knee pain symptoms, improving knee function, and enhancing the quality of life for KOA patients with a K-L score of 3 or less. Moreover, the treatment exhibited a good safety profile. Clinical Trial Registration: (https://www.chictr.org.cn/), identifier (ChiCTR1900027175).
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Affiliation(s)
- Qian-Yun Ye
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
- First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qing Lin
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Xue-Ling Hu
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Yu-Mei Yang
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Bao-Lin Zheng
- Department of Nephropathy and Rheumatology, Foshan Hospital of TCM, Foshan, China
| | - Ting Li
- Department of Nephropathy and Rheumatology, Foshan Hospital of TCM, Foshan, China
| | | | - Hao-Yu Wang
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Zhi-Fen Zhang
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Bing-Jie Luo
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Ya-Wen Xiao
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Ai-Ling Wu
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Yan Li
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Zhuo-Ling Zou
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Ling-Yu Li
- College of Pharmacy, Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Jinan University, Guangzhou, China
- Cancer Research Institution, Jinan University, Guangzhou, China
| | - Xiao-Yun Li
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Pan-Pan Wang
- First Affiliated Hospital of Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Jinan University, Guangzhou, China
- Cancer Research Institution, Jinan University, Guangzhou, China
| | - Li Yang
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Xiao-Feng Zhu
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Jinan University, Guangzhou, China
| | - Li Han
- First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Rong-Hua Zhang
- College of Pharmacy, Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Jinan University, Guangzhou, China
- Cancer Research Institution, Jinan University, Guangzhou, China
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Yang H, Yang X, Lin J, Yang F, He Y, Lin Q. Effect of Cd 2+ Substitution on Structural-Magnetic and Dielectric Properties of Ni-Cu-Zn Spinel Ferrite Nanomaterials by Sol-Gel. Molecules 2023; 28:6110. [PMID: 37630362 PMCID: PMC10459885 DOI: 10.3390/molecules28166110] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/06/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
CdxNi0.5-xCu0.2Zn0.3Fe2O4 (0 ≤ x ≤ 0.50) ferrite with a spinel structure was prepared using the sol-gel self-propagation method. The effects of Cd2+ doping on the structure, morphology, dielectric, and magnetic properties of Ni-Cu-Zn ferrite were examined using XRD, SEM, EDX, FTIR, MPMS, and dielectric tests. The cubic spinel structure was verified by XRD and FTIR analyses. The crystallite size and particle size information of the samples were obtained with XRD and SEM analysis. The sample particle size belonged to a class of nanoscale materials with a particle size range of 1-100 nm. The minor difference between the grain size and particle size indicated that the sample nanoparticles were composed of numerous microcrystals. The EDX spectra indicated that the samples contained all stoichiometric elements. MPMS was used to measure the hysteresis lines of the samples. According to the hysteresis line, the saturation magnetization intensity (Ms), coercivity (Hc), and magnetic moment (μB) of the sample increased and then decreased with the increase in cadmium concentration. The magnetization strength (Ms) is between 4-67 emu/g, and the coercivity (Hc) is between 9-46 Oe. The curves of the real part of the dielectric constant (ε'), the imaginary part of the dielectric constant (ε″), and the loss factor (tanδ) with frequency were measured in the frequency range 100 Hz-100 kHz by means of an impedance analyzer. The complex modulus spectrum was analyzed to understand the dynamics of the conduction process.
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Affiliation(s)
- Hu Yang
- College of Biomedical Information and Engineering, Hainan Medical University, Haikou 571199, China
- Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology, College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - Xingxing Yang
- Department of Civil Engineering, Jiangxi Water Resources Institute, Nanchang 330013, China
| | - Jinpei Lin
- Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology, College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - Fang Yang
- College of Biomedical Information and Engineering, Hainan Medical University, Haikou 571199, China
- Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology, College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - Yun He
- Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology, College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - Qing Lin
- College of Biomedical Information and Engineering, Hainan Medical University, Haikou 571199, China
- Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology, College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
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