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Guo J, Ou Y, Liu Q, Zeng K, Huang Y, Yan F, Cai M, Lyu G. Hydrochloric Acid-Induced Acute Lung Injury Models: Dynamic Change and Quantitative Analysis of Modified Lung Ultrasound Scoring System and High-Resolution Computed Tomography. Ultrasound Med Biol 2024; 50:946-953. [PMID: 38514364 DOI: 10.1016/j.ultrasmedbio.2024.03.002] [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: 06/25/2023] [Revised: 02/07/2024] [Accepted: 03/01/2024] [Indexed: 03/23/2024]
Abstract
OBJECTIVE Acute lung injury (ALI) has become a research hotspot due to its significant public health impact. To explore the value of the use of modified lung ultrasound (MLUS) scoring system for evaluating ALI using a rabbit model of ALI induced by hydrochloric acid (HCl) and investigate its correlation with high-resolution computed tomography (HRCT) and histopathological scores. METHODS Twenty New Zealand laboratory rabbits were randomly assigned to control group (N = 5) and 3 experimental groups (N = 5 each). The control group received instillation of physiological saline, while the 3 experimental groups received 2 mL/kg of different doses of HCl instillation (mild group: pH 1.5, moderate group: pH 1.2, and severe group: pH 1.0) through the trachea under ultrasound guidance. Pulmonary ultrasound (using Mindray Reason9 linear array probes with frequency of 6-15 mHz) and HRCT examinations were performed before modeling (0H) and at 1H, 2H, 4H, 8H, 12H after modeling. The experimental rabbits were sacrificed at 12H for examination of gross lung morphology and hematoxylin-eosin-stained histopathological sections. The correlation of MLUS scores with HRCT/histopathological scores was assessed. RESULTS All rabbits in the experimental groups showed oxygenation index PaO₂/FiO₂<300. Successful establishment of ALI model was proven by autopsy (successful modeling rate: 100%). The pathological damage increased with increase in HCl dosage. MLUS scores showed a positive correlation with HRCT scores/pathological severity. There was a strong positive correlation between MLUS scores and histopathological scores (r = 0.963, p < 0.05) as well as between HRCT scores and histopathological scores (r = 0.932, p < 0.05). CONCLUSION Transtracheal injection of different dosages of HCl under ultrasound guidance induced different degrees of ALI. The MLUS scoring system can be used for semiquantitative evaluation of ALI, and is suitable as a screening tool.
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Affiliation(s)
- Jingyi Guo
- Department of Ultrasound, Jinjing Municipal Hospital (Shanghai Sixth People's Hospital Fujian), NO.16, Luoshan Section, Jinguang Road, Jinjiang, Quanzhou, Fujian
| | - Youkuan Ou
- Department of Radiology, Jinjing Municipal Hospital (Shanghai Sixth People's Hospital Fujian), NO.16, Luoshan Section, Jinguang Road, Jinjiang, Quanzhou, Fujian
| | - Qiuyue Liu
- Department of Pathology, Jinjing Municipal Hospital (Shanghai Sixth People's Hospital Fujian), NO.16, Luoshan Section, Jinguang Road, Jinjiang, Quanzhou, Fujian
| | - Kunzhang Zeng
- Department of Ultrasound, Jinjing Municipal Hospital (Shanghai Sixth People's Hospital Fujian), NO.16, Luoshan Section, Jinguang Road, Jinjiang, Quanzhou, Fujian
| | - Yijun Huang
- Department of Ultrasound, Second Affiliated Hospital of Fujian Medical University, No. 34 Zhongshan North Road, Licheng District, Quanzhou, Fujian
| | - Fuqiang Yan
- Department of Ultrasound, Jinjing Municipal Hospital (Shanghai Sixth People's Hospital Fujian), NO.16, Luoshan Section, Jinguang Road, Jinjiang, Quanzhou, Fujian
| | - Mingli Cai
- Department of Ultrasound, Jinjing Municipal Hospital (Shanghai Sixth People's Hospital Fujian), NO.16, Luoshan Section, Jinguang Road, Jinjiang, Quanzhou, Fujian
| | - Guorong Lyu
- Department of Ultrasound, Jinjing Municipal Hospital (Shanghai Sixth People's Hospital Fujian), NO.16, Luoshan Section, Jinguang Road, Jinjiang, Quanzhou, Fujian; Department of Ultrasound, Second Affiliated Hospital of Fujian Medical University, No. 34 Zhongshan North Road, Licheng District, Quanzhou, Fujian; Quanzhou Medical College, No. 2 Anji Road, Luojiang District, Quanzhou, Fujian.
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Qu R, Liu N, Wen Q, Guo J, Ge F. Molecular mechanism of dissolvable metal nanoparticles-enhanced CO 2 fixation by algae: Metal-chlorophyll synthesis. Environ Pollut 2024; 349:123987. [PMID: 38621453 DOI: 10.1016/j.envpol.2024.123987] [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: 02/04/2024] [Revised: 04/09/2024] [Accepted: 04/13/2024] [Indexed: 04/17/2024]
Abstract
Algae-driven photosynthetic CO2 fixation is a promising strategy to mitigate global climate changes and energy crises. Yet, the presence of metal nanoparticles (NPs), particularly dissolvable NPs, in aquatic ecosystems introduces new complexities due to their tendency to release metal ions that may perturb metabolic processes related to algal CO2 fixation. This study selected six representative metal NPs (Fe3O4, ZnO, CuO, NiO, MgO, and Ag) to investigate their impacts on CO2 fixation by algae (Chlorella vulgaris). We discovered an intriguing phenomenon that bivalent metal ions released from the metal NPs, especially from ZnO NPs, substituted Mg2+ within the porphyrin ring. This interaction led to 81.8% and 76.1% increases in Zinc-chlorophyll and Magnesium-chlorophyll contents within algal cells at 0.01 mM ZnO NPs, respectively. Integrating metabolomics and transcriptomics analyses revealed that ZnO NPs mainly promoted the photosynthesis-antenna protein pathway, porphyrin and chlorophyll metabolism, and carbon fixation pathway, thereby mitigating the adverse effects of Zn2+ substitution in light harvesting and energy transfer for CO2 fixation. Ultimately, the genes encoding Rubisco large subunit (rbcL) responsible for CO2 fixation were upregulated to 2.60-fold, resulting in a 76.3% increase in carbon fixation capacity. Similar upregulations of rbcL expression (1.13-fold) and carbon fixation capacity (76.1%) were observed in algal cells even at 0.001 mM ZnO NPs, accompanied by valuable lipid accumulation. This study offers novel insights into the molecular mechanism underlying NPs on CO2 fixation by algae and potentially introduces strategies for global carbon sequestration.
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Affiliation(s)
- Ruohua Qu
- Department of Environment, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China; Key Laboratory of Environmental Eco-Health, Hunan, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
| | - Na Liu
- Department of Environment, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China; Key Laboratory of Environmental Eco-Health, Hunan, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
| | - Qiong Wen
- Department of Environment, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China; Key Laboratory of Environmental Eco-Health, Hunan, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
| | - Jingyi Guo
- Department of Environment, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China; Key Laboratory of Environmental Eco-Health, Hunan, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
| | - Fei Ge
- Department of Environment, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China; Key Laboratory of Environmental Eco-Health, Hunan, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
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Tang S, Huang S, Huang J, Lai X, Guo J, Huang J, Zhong Y. Pogostone attenuated high-fat diet-induced nonalcoholic fatty liver disease in mice through inhibition of NLRP3 inflammasome signaling. Eur J Pharmacol 2024; 970:176463. [PMID: 38461909 DOI: 10.1016/j.ejphar.2024.176463] [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: 10/20/2023] [Revised: 02/01/2024] [Accepted: 02/28/2024] [Indexed: 03/12/2024]
Abstract
Inhibition of inflammasome activation is a potential therapeutic strategy for treating nonalcoholic fatty liver disease (NAFLD). Pogostone (PO), an active ingredient in Pogostemon cablin, exhibits various pharmacological properties, including anti-inflammation. However, there are no reports of the hepatoprotective effects of PO in NAFLD induced by a high-fat diet (HFD). Molecular biology methods and molecular docking analysis were used to determine the therapeutic effects and mechanisms of PO in NAFLD in vitro and in vivo. Results showed that in vitro, PO reduced lipid deposition, accelerated fatty acid oxidation (FAO), and inhibited the inflammatory response by elevating mRNA expression of FAO genes and decreasing mRNA expression of proinflammatory genes such as NLRP3. In vivo, PO significantly reduced body weight and liver fat deposition and lowered the generation of inflammatory factors, thereby ameliorating liver fibrosis and liver injury. The hepatoprotective effect of PO against HFD was largely impaired in NLRP3-/- mice. Molecular docking experiments demonstrated a strong interaction between PO and NLRP3. In conclusion, PO decreased fat deposition and the inflammatory response by inhibiting NLRP3 expression, resulting in the alleviation of NAFLD. Our study suggests that PO may be a promising treatment for NAFLD.
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Affiliation(s)
- Shengzhao Tang
- Department of Acupuncture-Rehabilitation, Guangzhou-Liwan Hospital of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Shangyi Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Jiaxin Huang
- Department of Acupuncture-Rehabilitation, Guangzhou-Liwan Hospital of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Xinger Lai
- Department of Acupuncture-Rehabilitation, Guangzhou-Liwan Hospital of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Jingyi Guo
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Jiawen Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
| | - Yanhua Zhong
- Department of Acupuncture-Rehabilitation, Guangzhou-Liwan Hospital of Chinese Medicine, Guangzhou, Guangdong 510000, China.
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Wu Y, Li S, Sun B, Guo J, Zheng M, Li A. Enhancing Gastrodin Production in Yarrowia lipolytica by Metabolic Engineering. ACS Synth Biol 2024; 13:1332-1342. [PMID: 38563122 DOI: 10.1021/acssynbio.4c00050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Gastrodin, 4-hydroxybenzyl alcohol-4-O-β-D-glucopyranoside, has been widely used in the treatment of neurogenic and cardiovascular diseases. Currently, gastrodin biosynthesis is being achieved in model microorganisms. However, the production levels are insufficient for industrial applications. In this study, we successfully engineered a Yarrowia lipolytica strain to overproduce gastrodin through metabolic engineering. Initially, the engineered strain expressing the heterologous gastrodin biosynthetic pathway, which comprises chorismate lyase, carboxylic acid reductase, phosphopantetheinyl transferase, endogenous alcohol dehydrogenases, and a UDP-glucosyltransferase, produced 1.05 g/L gastrodin from glucose in a shaking flask. Then, the production was further enhanced to 6.68 g/L with a productivity of 2.23 g/L/day by overexpressing the key node DAHP synthases of the shikimate pathway and alleviating the native tryptophan and phenylalanine biosynthetic pathways. Finally, the best strain, Gd07, produced 13.22 g/L gastrodin in a 5 L fermenter. This represents the highest reported production of gastrodin in an engineered microorganism to date, marking the first successful de novo production of gastrodin using Y. lipolytica.
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Affiliation(s)
- Yuanqing Wu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, #368 Youyi Road, Wuhan 430062, P. R. China
| | - Shuocheng Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, #368 Youyi Road, Wuhan 430062, P. R. China
| | - Baijian Sun
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, #368 Youyi Road, Wuhan 430062, P. R. China
| | - Jingyi Guo
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, #368 Youyi Road, Wuhan 430062, P. R. China
| | - Meiyi Zheng
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, #368 Youyi Road, Wuhan 430062, P. R. China
| | - Aitao Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, #368 Youyi Road, Wuhan 430062, P. R. China
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Huang J, Li J, Peng Y, Cui T, Guo J, Duan S, Zhou K, Huang S, Chen J, Yi Q, Qiu M, Chen T, Wu X, Ma C, Zhang Z, Zheng Y, Tang X, Pang Y, Zhang L, Zhong C, Gao Y. The lack of PPARα exacerbated the progression of non-alcoholic steatohepatitis in mice with spleen deficiency syndrome by triggering an inflammatory response. Front Immunol 2024; 15:1381340. [PMID: 38633246 PMCID: PMC11021588 DOI: 10.3389/fimmu.2024.1381340] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 03/14/2024] [Indexed: 04/19/2024] Open
Abstract
Background In addition to abnormal liver inflammation, the main symptoms of non-alcoholic steatohepatitis (NASH) are often accompanied by gastrointestinal digestive dysfunction, consistent with the concept of spleen deficiency (SD) in traditional Chinese medicine. As an important metabolic sensor, whether peroxisome proliferator-activated receptor alpha (PPARα) participates in regulating the occurrence and development of NASH with SD (NASH-SD) remains to be explored. Methods Clinical liver samples were collected for RNA-seq analysis. C57BL/6J mice induced by folium sennae (SE) were used as an SD model. qPCR analysis was conducted to evaluate the inflammation and metabolic levels of mice. PPARα knockout mice (PPARαko) were subjected to SE and methionine-choline-deficient (MCD) diet to establish the NASH-SD model. The phenotype of NASH and the inflammatory indicators were measured using histopathologic analysis and qPCR as well. Results The abnormal expression of PPARα signaling, coupled with metabolism and inflammation, was found in the results of RNA-seq analysis from clinical samples. SD mice showed a more severe inflammatory response in the liver evidenced by the increases in macrophage biomarkers, inflammatory factors, and fibrotic indicators in the liver. qPCR results also showed differences in PPARα between SD mice and control mice. In PPARαko mice, further evidence was found that the lack of PPARα exacerbated the inflammatory response phenotype as well as the lipid metabolism disorder in NASH-SD mice. Conclusion The abnormal NR signaling accelerated the vicious cycle between lipotoxicity and inflammatory response in NAFLD with SD. Our results provide new evidence for nuclear receptors as potential therapeutic targets for NAFLD with spleen deficiency.
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Affiliation(s)
- Jiawen Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jiayu Li
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuan Peng
- Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Tianqi Cui
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingyi Guo
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Siwei Duan
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kaili Zhou
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shangyi Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jiabing Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Qincheng Yi
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Min Qiu
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tingting Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoqin Wu
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chenlu Ma
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ziyi Zhang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yi Zheng
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xi Tang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yanqing Pang
- Department of Phase I Clinical Research Center, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, China
| | - Lei Zhang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin, China
| | - Chong Zhong
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yong Gao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
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Liu D, Zhang Y, Wu Q, Han R, Cheng D, Wu L, Guo J, Yu X, Ge W, Ni J, Li Y, Ma T, Fang Q, Wang Y, Zhao Y, Zhao Y, Sun B, Li H, Jia W. Exercise-induced improvement of glycemic fluctuation and its relationship with fat and muscle distribution in type 2 diabetes. J Diabetes 2024; 16:e13549. [PMID: 38584275 PMCID: PMC10999499 DOI: 10.1111/1753-0407.13549] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/01/2024] [Accepted: 02/13/2024] [Indexed: 04/09/2024] Open
Abstract
AIMS Management of blood glucose fluctuation is essential for diabetes. Exercise is a key therapeutic strategy for diabetes patients, although little is known about determinants of glycemic response to exercise training. We aimed to investigate the effect of combined aerobic and resistance exercise training on blood glucose fluctuation in type 2 diabetes patients and explore the predictors of exercise-induced glycemic response. MATERIALS AND METHODS Fifty sedentary diabetes patients were randomly assigned to control or exercise group. Participants in the control group maintained sedentary lifestyle for 2 weeks, and those in the exercise group specifically performed combined exercise training for 1 week. All participants received dietary guidance based on a recommended diet chart. Glycemic fluctuation was measured by flash continuous glucose monitoring. Baseline fat and muscle distribution were accurately quantified through magnetic resonance imaging (MRI). RESULTS Combined exercise training decreased SD of sensor glucose (SDSG, exercise-pre vs exercise-post, mean 1.35 vs 1.10 mmol/L, p = .006) and coefficient of variation (CV, mean 20.25 vs 17.20%, p = .027). No significant change was observed in the control group. Stepwise multiple linear regression showed that baseline MRI-quantified fat and muscle distribution, including visceral fat area (β = -0.761, p = .001) and mid-thigh muscle area (β = 0.450, p = .027), were significantly independent predictors of SDSG change in the exercise group, as well as CV change. CONCLUSIONS Combined exercise training improved blood glucose fluctuation in diabetes patients. Baseline fat and muscle distribution were significant factors that influence glycemic response to exercise, providing new insights into personalized exercise intervention for diabetes.
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Affiliation(s)
- Dan Liu
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Ying Zhang
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Qian Wu
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Rui Han
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Di Cheng
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Liang Wu
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Jingyi Guo
- Clinical Research CenterShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiangtian Yu
- Clinical Research CenterShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Wenli Ge
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Jiacheng Ni
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Yaohui Li
- School of Sports Science and Physical EducationNanjing Normal UniversityNanjingChina
| | - Tianshu Ma
- Department of KinesiologyNanjing Sport InstituteNanjingChina
| | - Qichen Fang
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Yufei Wang
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Yan Zhao
- Department of Sports and Health ScienceNanjing Sport InstituteNanjingChina
| | - Yanan Zhao
- School of Sports Science and Physical EducationNanjing Normal UniversityNanjingChina
| | - Biao Sun
- Department of KinesiologyNanjing Sport InstituteNanjingChina
| | - Huating Li
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
| | - Weiping Jia
- Department of Endocrinology and MetabolismShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes MellitusShanghaiChina
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Chen B, Du C, Wang M, Guo J, Liu X. Organoids as preclinical models of human disease: progress and applications. Med Rev (2021) 2024; 4:129-153. [PMID: 38680680 PMCID: PMC11046574 DOI: 10.1515/mr-2023-0047] [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] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/28/2024] [Indexed: 05/01/2024]
Abstract
In the field of biomedical research, organoids represent a remarkable advancement that has the potential to revolutionize our approach to studying human diseases even before clinical trials. Organoids are essentially miniature 3D models of specific organs or tissues, enabling scientists to investigate the causes of diseases, test new drugs, and explore personalized medicine within a controlled laboratory setting. Over the past decade, organoid technology has made substantial progress, allowing researchers to create highly detailed environments that closely mimic the human body. These organoids can be generated from various sources, including pluripotent stem cells, specialized tissue cells, and tumor tissue cells. This versatility enables scientists to replicate a wide range of diseases affecting different organ systems, effectively creating disease replicas in a laboratory dish. This exciting capability has provided us with unprecedented insights into the progression of diseases and how we can develop improved treatments. In this paper, we will provide an overview of the progress made in utilizing organoids as preclinical models, aiding our understanding and providing a more effective approach to addressing various human diseases.
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Affiliation(s)
- Baodan Chen
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Cijie Du
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Mengfei Wang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jingyi Guo
- Innovation Centre for Advanced Interdisciplinary Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong SAR, China
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Xu Y, Xiong H, Liu W, Liu H, Guo J, Wang W, Ruan H, Sun Z, Fan C. Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs: The Total Hip Replacement Prediction (THREP) Model. J Bone Joint Surg Am 2024; 106:389-396. [PMID: 38090967 DOI: 10.2106/jbjs.23.00549] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
BACKGROUND There are few methods for accurately assessing the risk of total hip arthroplasty (THA) in patients with osteoarthritis. A novel and reliable method that could play a substantial role in research and clinical routine should be investigated. The purpose of the present study was to develop a deep-learning model that can reliably predict the risk of THA with use of radiographic images and clinical symptom data. METHODS This retrospective, multicenter, case-control study assessed hip joints on weighted-bearing anteroposterior pelvic radiographs obtained from Osteoarthritis Initiative (OAI) participants. Participants who underwent THA were matched to controls according to age, sex, body mass index, and ethnicity. Cases and controls were uniformly split into training, validation, and testing data sets at proportions of 72% (n = 528), 14% (n = 104), and 14% (n = 104), respectively. Images and clinical symptom data were passed through a detection model and a deep convolutional neural network (DCNN) model to predict the probability of THA within 9 years as well as the most likely time period for THA (0 to 2 years, 3 to 5 years, 6 to 9 years). Model performance was assessed with use of the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity in the testing set. RESULTS A total of 736 participants were evaluated, including 184 cases and 552 controls. The prediction model achieved an overall accuracy, sensitivity, and specificity of 91.35%, 92.59% and 86.96%, respectively, with an AUC of 0.944, for THA within 9 years. The AUC of the DCNN model for assessing the most likely time period was 0.907 for 0 to 2 years, 0.916 for 3 to 5 years, and 0.841 for 6 to 9 years. Gradient-weighted class activation mapping closely corresponded to regions affecting the prediction of the DCNN model. CONCLUSIONS The proposed DCNN model is a reliable and valid method to predict the probability of THA-within limitations. It could assist clinicians in patient counseling and decision-making regarding the timing of the intervention. In the future, by increasing the size of the data set, enhancing the ethnic and socioeconomic diversity of the participants, and improving the follow-up rate, the quality of the conclusions can be further improved. LEVEL OF EVIDENCE Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- Yi Xu
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Hao Xiong
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Weixuan Liu
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Hang Liu
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Wei Wang
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Hongjiang Ruan
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Ziyang Sun
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Cunyi Fan
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
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Jiang Y, Zhang W, Wei M, Yin D, Tang Y, Jia W, Wang C, Guo J, Li A, Gong Y. Associations between type 1 diabetes and pulmonary tuberculosis: a bidirectional mendelian randomization study. Diabetol Metab Syndr 2024; 16:60. [PMID: 38443967 PMCID: PMC10913601 DOI: 10.1186/s13098-024-01296-x] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Type 1 diabetes mellitus (T1DM) has been associated with higher pulmonary tuberculosis (PTB) risk in observational studies. However, the causal relationship between them remains unclear. This study aimed to assess the causal effect between T1DM and PTB using bidirectional Mendelian randomization (MR) analysis. METHODS Single nucleotide polymorphisms (SNPs) of T1DM and PTB were extracted from the public genetic variation summary database. In addition, GWAS data were collected to explore the causal relationship between PTB and relevant clinical traits of T1DM, including glycemic traits, lipids, and obesity. The inverse variance weighting method (IVW), weighted median method, and MR‒Egger regression were used to evaluate the causal relationship. To ensure the stability of the results, sensitivity analyses assess the robustness of the results by estimating heterogeneity and pleiotropy. RESULTS IVW showed that T1DM increased the risk of PTB (OR = 1.07, 95% CI: 1.03-1.12, P < 0.001), which was similar to the results of MR‒Egger and weighted median analyses. Moreover, we found that high-density lipoprotein cholesterol (HDL-C; OR = 1.28, 95% CI: 1.03-1.59, P = 0.026) was associated with PTB. There was no evidence of an effect of glycemic traits, remaining lipid markers, or obesity on the risk of PTB. In the reverse MR analysis, no causal relationships were detected for PTB on T1DM and its relevant clinical traits. CONCLUSION This study supported that T1DM and HDL-C were risk factors for PTB. This implies the effective role of treating T1DM and managing HDL-C in reducing the risk of PTB, which provides an essential basis for the prevention and comanagement of concurrent T1DM and PTB in clinical practice.
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Affiliation(s)
- Yijia Jiang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Wenhua Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Maoying Wei
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Dan Yin
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Yiting Tang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Weiyu Jia
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Churan Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Jingyi Guo
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Aijing Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Yanbing Gong
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China.
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Liu Z, Wang H, Lin S, Guo J, Shi YP, Gao Q, Zhou H. First Report of Colletotrichum fructicola Causing Leaf Spot on Smilax glabra Roxb in China. Plant Dis 2024. [PMID: 38386302 DOI: 10.1094/pdis-09-23-1933-pdn] [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: 02/23/2024]
Abstract
Smilax glabra Roxb is a medicinal plant distributed in 17 countries and used in the production of food and tea (Wu et al. 2022). In May 2021, a leaf spot disease was observed on ~60% of S. glabra plants in a field (∼0.4 ha) in Qinzhou City, Guangxi Province. Initially, small, circular, brown spots appeared on the leaf surfaces, which then gradually expanded into large, sunken, dark brown necrotic areas. As disease progressed, lesions merged into large spots, eventually leading to defoliation. To determine the causal agent, six symptomatic plants were collected from the field. Small pieces (∼5 mm2) were cut from the infected leaves (n = 12), sterilized for two min in 1% NaOCl, and rinsed three times in sterile water. Then, the leaf tissues were placed on potato dextrose agar (PDA) with chloramphenicol (0.1 g/liter) and incubated for 3 days at 28°C (12-h photoperiod). Pure cultures were obtained by transferring hyphal tips from recently germinated spores or colony edges onto PDA. Among the 17 isolates, 15 exhibited similar morphologies. Two single-spore isolates (TFL45.1 and TFL46.2) were subjected to further morphological and molecular characterization. Colonies on PDA were grayish green with a white outer ring and cottony surface, and pale blackish green on the reverse side. Conidia were hyaline, aseptate, straight, and cylindrical, with rounded ends, and 11.4 to 16.5 μm × 4.1 to 6.1 μm (average 13.9 × 4.8 μm, n = 100). Appressoria were brown to dark brown, with a smooth edge and different shapes such as ovoid, elliptical or irregular, and 6.8 to 8.9 μm × 5.9 to 7.8 μm (average 7.7 × 6.6 μm, n = 25). For molecular identification, eight target gene sequences, internal transcribed spacer (ITS), glyceraldehydes-3-phosphate dehydrogenase (GAPHD), calmodulin (CAL), partial actin (ACT), chitin synthase (CHS-1), glutamine synthetase (GS), manganese superoxide dismutase (SOD2), and β-tubulin (TUB) were selected for PCR amplification (Weir et al. 2012). The resulting sequences were deposited in GenBank (OR399160-61 and OR432537-50). BLASTn analysis of the obtained sequences showed 99-100% identity with those of the ex-type strain C. fructicola ICMP:18581 (JX010165, JX010033, FJ917508, FJ907426, JX009866, JX010095, JX010327, JX010405) (Weir et al. 2012). In addition, a phylogenetic analysis confirmed the isolates as C. fructicola. Therefore, based on morphological and molecular characteristics (Park et al. 2018; Weir et al. 2012), the isolates were identified as C. fructicola. To verify pathogenicity, three healthy leaves on each of six two-year-old S. glabra plants were inoculated with ∼5 mm2 mycelial discs or aliquots of 10 μl suspension (106 conidia/ml) of the strain TFL46.2, and six control plants were inoculated with sterile PDA discs or sterile water. All plants were enclosed in plastic bags and incubated in a greenhouse at 25°C (12-h photoperiod). Six days post-inoculation, leaf spot symptoms appeared on the inoculated leaves. No symptoms were detected in the controls. Experiments were replicated three times with similar results. To fulfill Koch's postulates, C. fructicola was consistently re-isolated from symptomatic tissue and confirmed by morphology and sequencing of the eight genes, whereas no fungus was isolated from the control plants. To our knowledge, this is the first report of C. fructicola causing leaf spot disease on S. glabra. Further studies will be needed to develop strategies against this disease based on the identification of this pathogen.
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Affiliation(s)
- Ze Liu
- Guangxi Minzu University, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, Guangxi, China;
| | - Hanyi Wang
- Guangxi Minzu University, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi University for Nationalities, Nanning, Guangxi, China;
| | - Siyu Lin
- Guangxi Minzu University, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, Guangxi, China;
| | - Jingyi Guo
- Guangxi Minzu University, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi Minzu University, Nanning, Guangxi, China;
| | - Yun Ping Shi
- Biotechnology Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China;
| | - Qi Gao
- Guangxi Minzu University, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, Guangxi, China;
| | - Hao Zhou
- Guangxi Minzu University, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, Guangxi, China
- Guangxi Minzu University, 47874, Key Laboratory of Protection and Utilization of Marine Resources, Nanning, Guangxi, China;
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Zhang L, Chen J, Yang X, Shen C, Huang J, Zhang D, Liu N, Liu C, Zhong Y, Chen Y, Tang K, Guo J, Cui T, Duan S, Li J, Huang S, Pan H, Zhang H, Tang X, Chang Y, Gao Y. Hepatic Zbtb18 (Zinc Finger and BTB Domain Containing 18) alleviates hepatic steatohepatitis via FXR (Farnesoid X Receptor). Signal Transduct Target Ther 2024; 9:20. [PMID: 38263084 PMCID: PMC10806020 DOI: 10.1038/s41392-023-01727-7] [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: 03/09/2023] [Revised: 10/25/2023] [Accepted: 12/05/2023] [Indexed: 01/25/2024] Open
Abstract
A lasting imbalance between fatty acid synthesis and consumption leads to non-alcoholic fatty liver disease (NAFLD), coupled with hepatitis and insulin resistance. Yet the details of the underlying mechanisms are not fully understood. Here, we unraveled that the expression of the transcription factor Zbtb18 is markedly decreased in the livers of both patients and murine models of NAFLD. Hepatic Zbtb18 knockout promoted NAFLD features like impaired energy expenditure and fatty acid oxidation (FAO), and induced insulin resistance. Conversely, hepatic Zbtb18 overexpression alleviated hepato-steatosis, insulin resistance, and hyperglycemia in mice fed on a high-fat diet (HFD) or in diabetic mice. Notably, in vitro and in vivo mechanistic studies revealed that Zbtb18 transcriptional activation of Farnesoid X receptor (FXR) mediated FAO and Clathrin Heavy Chain (CLTC) protein hinders NLRP3 inflammasome activity. This key mechanism by which hepatocyte's Zbtb18 expression alleviates NAFLD and consequent liver fibrosis was further verified by FXR's deletion and forced expression in mice and cultured mouse primary hepatocytes (MPHs). Moreover, CLTC deletion significantly abrogated the hepatic Zbtb18 overexpression-driven inhibition of NLRP3 inflammasome activity in macrophages. Altogether, Zbtb18 transcriptionally activates the FXR-mediated FAO and CLTC expression, which inhibits NLRP3 inflammasome's activity alleviating inflammatory stress and insulin resistance, representing an attractive remedy for hepatic steatosis and fibrosis.
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Affiliation(s)
- Lei Zhang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Cellular Homeostasis and Disease, Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin, China
| | - Jiabing Chen
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoying Yang
- Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Jiangsu International Laboratory of Immunity and Metabolism, Xuzhou Medical University, Xuzhou, China
| | - Chuangpeng Shen
- Department of Endocrinology, The First Clinical College, Guangzhou University of Chinese Medicine, Guangdong, China
| | - Jiawen Huang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Dong Zhang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Naihua Liu
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chaonan Liu
- Department of Endocrinology, The First Clinical College, Guangzhou University of Chinese Medicine, Guangdong, China
| | - Yadi Zhong
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yingjian Chen
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kaijia Tang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingyi Guo
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tianqi Cui
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Siwei Duan
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jiayu Li
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shangyi Huang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Huafeng Pan
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China
| | - Huabing Zhang
- Department of Biochemistry and Molecular Biology, Metabolic Disease Research Center, School of Basic Medicine, Anhui Medical University, Hefei, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China.
| | - Yongsheng Chang
- Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Cellular Homeostasis and Disease, Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin, China.
| | - Yong Gao
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China.
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Wu S, Guo J, Chen X, Wang J, Zhao G, Ma S, Hao T, Tan J, Li Y. Rapid weather changes are associated with daily hospital visitors for atrial fibrillation accompanied by abnormal ECG repolarization: a case-crossover study. Eur J Med Res 2024; 29:62. [PMID: 38245805 PMCID: PMC10799445 DOI: 10.1186/s40001-023-01632-3] [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: 11/20/2023] [Accepted: 12/30/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Atrial fibrillation (AF) is highly prevalent in the population, yet the factors contributing to AF events in susceptible individuals remain partially understood. The potential relationship between meteorological factors and AF, particularly with abnormal electrocardiograph (ECG) repolarization, has not been adequately studied. This case-crossover study aims to investigate the association between meteorological factors and daily hospital visits for AF with abnormal ECG repolarization in Shanghai, China. METHODS The study cohort comprised 10,325 patients with ECG-confirmed AF who sought treatment at Shanghai Sixth People's Hospital between 2015 and 2018. Meteorological and air pollutant concentration data were matched with the patient records. Using a case-crossover design, we analyzed the association between meteorological factors and the daily count of hospital visitors for AF with abnormal ECG repolarization at our AF center. Lag analysis models were applied to examine the temporal relationship between meteorological factors and AF events. RESULTS The analysis revealed statistically significant associations between AF occurrence and specific meteorological factors. AF events were significantly associated with average atmospheric pressure (lag 0 day, OR 0.9901, 95% CI 0.9825-0.9977, P < 0.05), average temperature (lag 1 day, OR 0.9890, 95% CI 0.9789-0.9992, P < 0.05), daily pressure range (lag 7 days, OR 1.0195, 95% CI 1.0079-1.0312, P < 0.01), and daily temperature range (lag 5 days, OR 1.0208, 95% CI 1.0087-1.0331, P < 0.01). Moreover, a significant correlation was observed between daily pressure range and daily temperature range with AF patients, particularly those with abnormal ECG repolarization, as evident in the case-crossover analysis. CONCLUSION This study highlights a significant correlation between meteorological factors and daily hospital visits for AF accompanied by abnormal ECG repolarization in Shanghai, China. In addition, AF patients with abnormal ECG repolarization were found to be more vulnerable to rapid daily changes in pressure and temperature compared to AF patients without such repolarization abnormalities.
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Affiliation(s)
- Shanmei Wu
- Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People's Republic of China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Xin Chen
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People's Republic of China
| | - Jie Wang
- Department of General Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Gang Zhao
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People's Republic of China
| | - Shixin Ma
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People's Republic of China
| | - Tianzheng Hao
- Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jianguo Tan
- Shanghai Meteorological IT Support Center, Shanghai, People's Republic of China.
- Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, People's Republic of China.
| | - Yongguang Li
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People's Republic of China.
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Wu HX, Guo JY, Yan LF, Wang XT, Zhang JL. [Hierarchical fuzzy comprehensive evaluation of prevention and control level of occupational hazards in coal mines]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2024; 42:62-66. [PMID: 38311954 DOI: 10.3760/cma.j.cn121094-20220915-00457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Objective: To establish an evaluation model for occupational hazard prevention and control levels in coal mines, to explore the combination of Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation, to evaluate the overall situation of occupational hazard prevention and control in coal mines. Methods: In November 2021, Collect information of occupational hazards and their prevention and control status in 30 coal mines. AHP model was first constructed for the elements of occupational hazard prevention and control in coal mines. Then, the AHP and fuzzy comprehensive evaluation method was applied to comprehensively evaluate and grade the occupational hazard prevention and control in coal mines, using the principles of maximum membership and weighted average. Results: The hierarchical fuzzy comprehensive evaluation results for typical coal mine were basically consistent with its occupational hazard prevention and control situation. The dust prevention and control situation was good, the noise prevention and control situation is average, the occupational health monitoring situation was good, the occupational health management situation was average, and the overall level of occupational hazard prevention and control was good. Conclusion: The hierarchical fuzzy comprehensive evaluation model for occupational hazard prevention and control levels, combined with the principles of maximum membership and weighted average, can objectively evaluate and reflect the overall situation of occupational hazard prevention and control in coal mines.
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Affiliation(s)
- H X Wu
- Shendong Coal Group Co., Ltd, China Energy Investment Corporation, Ordos 017209, China National Center for Occupational Safety and Health, National Health Commission, Beijing 102308, China
| | - J Y Guo
- National Center for Occupational Safety and Health, National Health Commission, Beijing 102308, China Key Laboratory for Engineering Control of Dust Hazard, National Health Commission, Beijing 102308, China
| | - L F Yan
- Shendong Coal Group Co., Ltd, China Energy Investment Corporation, Ordos 017209, China
| | - X T Wang
- National Center for Occupational Safety and Health, National Health Commission, Beijing 102308, China Key Laboratory for Engineering Control of Dust Hazard, National Health Commission, Beijing 102308, China
| | - J L Zhang
- Shendong Coal Group Co., Ltd, China Energy Investment Corporation, Ordos 017209, China
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Chen J, Wu X, Guo J, Zhang X, Zhao J, Xie G. Characterization of the CT-based risk factors for concomitant patellofemoral instability in patients with anterior cruciate ligament injury. Eur Radiol 2024; 34:250-259. [PMID: 37532901 DOI: 10.1007/s00330-023-10028-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 05/22/2023] [Accepted: 06/14/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVES Underestimation of concomitant patellofemoral instability in patients with anterior cruciate ligament (ACL) injury has aroused extensive attention. However, the characteristics of the combined injury is not well recognized. Hence, we aimed to characterize the features of the combined injury, and determine the radiographic risk factors. METHODS Fifteen radiological parameters were identified after discussion and pilot-tested. Radiographic measurements were compared using the analysis of variance model with Tukey post hoc analysis. A stepwise binomial logistic regression was performed and a nomogram model combining the significant risk factors was created. The model performance was validated by C-index, calibration plot, and decision curve. RESULTS A total of 204 patients (mean [SD] age, 25.1 [6.7] years; 108 [52.9%] male) were included. The final model was updated through regression analysis using 4 parameters as significant risk factors: lateral femoral condyle ratio (OR (95% CI), 1.194 (1.023 to 1.409)), medial anterior tibial subluxation (mATS) (OR (95% CI), 1.234 (1.065 to 1.446)), medial posterior plateau tibial angle (mPPTA) (OR (95% CI), 1.266 (1.088 to 1.500)), and trochlear depth (OR (95% CI), 0.569 (0.397 to 0.784)). C-index for the nomogram was 0.802 (95% CI, 0.731 to 0.873) and was confirmed to be 0.784 through bootstrapping validation. Calibration plot established a good agreement between prediction and observation. Decision curve analysis showed that if threshold probability was over 10%, using the nomogram adds more benefit than either all or none scheme. CONCLUSIONS Lateral femoral condyle ratio, mATS, mPPTA, and trochlear depth are strong adverse predictors of patellofemoral instability in patients with ACL injury. CLINICAL RELEVANCE This study characterizes the radiological features of the combined injury. Patellofemoral instability should be noted when treating ACL injuries. KEY POINTS • The radiological characteristics of the combined ACL injury and patellofemoral instability is not well recognized. • Lateral femoral condyle ratio, mATS, mPPTA, and trochlear depth are predominant risk factors for patellofemoral instability in patients with ACL injury. • Patellofemoral instability should be noted when treating ACL injuries.
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Affiliation(s)
- Jiebo Chen
- Department of Sports Medicine, National Clinical Medical Centre of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Xiulin Wu
- Department of Sports Medicine, National Clinical Medical Centre of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Xueying Zhang
- Department of Sports Medicine, National Clinical Medical Centre of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Jinzhong Zhao
- Department of Sports Medicine, National Clinical Medical Centre of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
| | - Guoming Xie
- Department of Sports Medicine, National Clinical Medical Centre of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
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Zhang K, Zhuo H, Guo J, Wang W, Dai R. Astaxanthin Alleviates the Process of Cardiac Hypertrophy by Targeting the METTL3/Circ_0078450/MiR-338-3p/GATA4 Pathway. Int Heart J 2024; 65:119-127. [PMID: 38296564 DOI: 10.1536/ihj.23-423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Astaxanthin (ASX) is a natural antioxidant with preventive and therapeutic effects on various human diseases. However, the role of ASX in cardiac hypertrophy and its underlying molecular mechanisms remain unclear.Cardiomyocytes (AC16) were used with angiotensin-II (Ang-II) to mimic the cardiac hypertrophy cell model. The protein levels of hypertrophy genes, GATA4, and methyltransferase-like 3 (METTL3) were determined by western blot analysis. Cell size was assessed using immunofluorescence staining. The expression of circ_0078450, miR-338-3p, and GATA4 were analyzed by quantitative real-time PCR. Also, the interaction between miR-338-3p and circ_0078450 or GATA4 was confirmed by dual-luciferase reporter and RIP assays, and the regulation of METTL3 on circ_0078450 was verified by MeRIP and RIP assays.ASX reduced the hypertrophy gene protein expression and cell size in Ang-II-induced AC16 cells. Circ_0078450 was promoted under Ang-II treatment, and ASX reduced circ_0078450 expression in Ang-II-induced AC16 cells. Circ_0078450 could sponge miR-338-3p to positively regulate GATA4 expression, and GATA4 overexpression overturned the suppressive effect of circ_0078450 knockdown on Ang-II-induced cardiomyocyte hypertrophy. Also, the inhibitory effect of ASX on Ang-II-induced cardiomyocyte hypertrophy could be reversed by circ_0078450 or GATA4 overexpression. In addition, METTL3 mediated the m6A methylation of circ_0078450 to enhance circ_0078450 expression. Moreover, METTL3 knockdown suppressed Ang-II-induced cardiomyocyte hypertrophy by inhibiting circ_0078450 expression.Our data showed that ASX repressed cardiac hypertrophy by regulating the METTL3/circ_0078450/miR-338-3p/GATA4 axis.
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Affiliation(s)
- Kelian Zhang
- Department of Cardiology, Quanzhou First Hospital Affiliated to Fujian Medical University
| | - Huilin Zhuo
- Department of Cardiology, Quanzhou First Hospital Affiliated to Fujian Medical University
| | - Jingyi Guo
- Department of Ultrasound, Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian Campus)
| | - Wei Wang
- Department of Cardiology, Quanzhou First Hospital Affiliated to Fujian Medical University
| | - Ruozhu Dai
- Department of Cardiology, Quanzhou First Hospital Affiliated to Fujian Medical University
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Pan Z, Guo J, Tang K, Chen Y, Gong X, Chen Y, Zhong Y, Xiao X, Duan S, Cui T, Wu X, Zhong Y, Yang X, Shen C, Gao Y. Correction to "Ginsenoside Rc Modulates SIRT6-NRF2 Interaction to Alleviate Alcoholic Liver Disease". J Agric Food Chem 2023; 71:20402-20404. [PMID: 38051201 DOI: 10.1021/acs.jafc.3c08315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
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Guo J, Zhao M, Chen C, Wang F, Chen Z. A laser-induced graphene-based electrochemical immunosensor for nucleic acid methylation detection. Analyst 2023; 149:137-147. [PMID: 37986634 DOI: 10.1039/d3an01628e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
The detection of methylation in DNA and RNA is essential for the diagnosis and treatment of a wide range of diseases. A one-step fabricated laser-induced graphene (LIG) electrode has received increasing attention due to its good electrical conductivity, large specific surface area, ease of miniaturization, low cost and flexibility. Herein, a potential biosensor for N6-methyladenosine (m6A-RNA) and 5-methylcystosine-single strand DNA (5mC-ssDNA) detection was designed. The aim of this paper is to address the problem of detecting the m6A-RNA and 5mC-ssDNA content in cells. By stepwise modification of gold nanoparticles (AuNPs), sulfhydryl-modified nucleic acid chains, biotin-modified antibodies, and streptavidin-modified horseradish peroxidase (SA-HRP) at the LIG electrode, the peak current responses exhibited an increase proportional to the concentration of m6A-RNA and 5mC-ssDNA in the hydrogen peroxide-hydroquinone (H2O2-HQ) system. This method demonstrated a low detection limit of 2.81 pM for m6A-RNA and 9.53 pM for 5mC-ssDNA, with a linear detection range of 0.01 nM to 10 nM for both targets. The regression equation was determined as ΔI = 4.83 log c + 12.32 (R2 = 0.9980) for m6A-RNA and ΔI = 9.82 log c + 22.09 (R2 = 0.9903) for 5mC-ssDNA. Our method has good selectivity toward different detection targets of nucleic acid chains, stability for long-term storage and consecutive scanning (RSD of 9.42% and 2.08%, respectively) and reproducibility of 5 electrodes (RSD of 6.85%). This method utilizes gold-sulfur bonding to immobilize the detection target, which improves the conductivity of the LIG electrode and introduces an amplified portion of the signal by taking advantage of antigen-antibody specific binding. Thus, dual detection of m6A-RNA and 5mC-ssDNA was realized. Importantly, this approach is successfully applied for the detection of targets in spiked samples extracted from HeLa cells, suggesting its potential for clinical applications and providing a new perspective for the development of point-of care testing (POCT) techniques.
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Affiliation(s)
- Jingyi Guo
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China.
| | - Mei Zhao
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China.
| | - Chen Chen
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China.
| | - Fang Wang
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China.
| | - Zilin Chen
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China.
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Guan J, Zhou W, Guo J, Zheng L, Lu G, Hua F, Liu M, Ji X, Sun Y, Zhu L, Guo X. A Wohlfahrtiimonas chitiniclastica with a novel type of blaVEB-1-carrying plasmid isolated from a zebra in China. Front Microbiol 2023; 14:1276314. [PMID: 38029080 PMCID: PMC10656743 DOI: 10.3389/fmicb.2023.1276314] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background Wohlfahrtiimonas chitiniclastica is an emerging fly-borne zoonotic pathogen, which causes infections in immunocompromised patients and some animals. Herein, we reported a W. chitiniclastica BM-Y from a dead zebra in China. Methods The complete genome sequencing of BM-Y showed that this isolate carried one chromosome and one novel type of blaVEB-1-carrying plasmid. Detailed genetic dissection was applied to this plasmid to display the genetic environment of blaVEB-1. Results Three novel insertion sequence (IS) elements, namely ISWoch1, ISWoch2, and ISWoch3, were found in this plasmid. aadB, aacA1, and gcuG were located downstream of blaVEB-1, composing a gene cassette array blaVEB-1-aadB-aacA1-gcuG bracketed by an intact ISWoch1 and a truncated one, which was named the blaVEB-1 region. The 5'-RACE experiments revealed that the transcription start site of the blaVEB-1 region was located in the intact ISWoch1 and this IS provided a strong promoter for the blaVEB-1 region. Conclusion The spread of the blaVEB-1-carrying plasmid might enhance the ability of W. chitiniclastica to survive under drug selection pressure and aggravate the difficulty in treating infections caused by blaVEB-1-carrying W. chitiniclastica. To the best of our knowledge, this is the first report of the genetic characterization of a novel blaVEB-1-carrying plasmid with new ISs from W. chitiniclastica.
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Affiliation(s)
- Jiayao Guan
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, China
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Wei Zhou
- Center for Animal Disease Control and Prevention of Ordos, Ordos, China
| | - Jingyi Guo
- The Second Hospital of Jilin University, Jilin University, Changchun, China
| | - Lin Zheng
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Gejin Lu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Fuyou Hua
- Shenzhen Safari Park, Shenzhen, China
| | - Mingwei Liu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Xue Ji
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Yang Sun
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Lingwei Zhu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Xuejun Guo
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
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Guo J, Zhou Q, Zhou M, Dai H, Li L, Qiu Y, Mao L, Liu B, Shen J. Survival benefit and biomarker of PD-1 inhibitor combination therapy in first-line of advanced biliary tract cancer: A retrospective study. Cancer Med 2023; 12:20699-20711. [PMID: 37930138 PMCID: PMC10709733 DOI: 10.1002/cam4.6628] [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: 04/04/2023] [Revised: 07/29/2023] [Accepted: 09/30/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitor (ICI) combination therapies have shown promise in the first-line treatment of advanced biliary tract cancer (BTC). However, the best partner remains to be validated. Moreover, progress on biomarkers predicting the efficacy of ICI in BTC is slow. This study aimed to assess the efficacy and investigate reliable predictive biomarkers of programmed cell death protein-1 (PD-1) antibody combination therapy in the first-line treatment of advanced BTC. METHODS Clinical data from patients with advanced BTC who received chemotherapy or anti-PD-1 combination therapy as first-line were collected. The primary outcome was overall survival (OS). Biomarkers, including peripheral blood inflammation scores, genetic alterations, and tumor microenvironment were investigated. FINDINGS Sixty-four patients were recruited and divided into four treatment groups: chemotherapy, anti-PD-1 plus chemotherapy, anti-PD-1 plus targeted therapy, and triple group (anti-PD-1 plus chemotherapy and targeted therapy). The median OS was 7.9, 11.3, 12.8, and 28.7 months, respectively. Compared to chemotherapy, mOS significantly prolonged in the triple group (p = 0.031). It showed that patients with five different peripheral blood inflammation scores had significantly prolonged mOS (p < 0.05). Genetic testing results suggested that patients with poor survival all had TP53 mutations and higher levels of KRAS and ERBB2 mutations. Low FOXP3/CD8 ratio was associated with prolonged OS (p = 0.029). With CD4-low, CD8-high, CD56-positive, CD163-high, FOXP3-high and MPO-high in TME as one factor, we calculated PLUS score according to the number of factors. The high-PLUS (>2) group showed significantly superior OS (p = 0.003). INTERPRETATION First-line anti-PD-1 combination therapy was superior to chemotherapy, and triple therapy significantly improved survival. Peripheral blood immune-inflammation score, FOXP3/CD8 ratio, and PLUS have potential as biomarkers for predicting the efficacy of first-line anti-PD-1 therapy in advanced BTC.
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Affiliation(s)
- Jingyi Guo
- The Comprehensive Cancer Centre, Department of Oncology, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
- Department of OncologyChina Pharmaceutical University Nanjing Drum Tower HospitalNanjingChina
| | - Qun Zhou
- Department of Radiology, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
| | - Mingzhen Zhou
- The Comprehensive Cancer Centre, Department of Oncology, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese MedicineNanjingChina
| | - Hengheng Dai
- The Comprehensive Cancer Centre, Department of Oncology, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
- Department of OncologyChina Pharmaceutical University Nanjing Drum Tower HospitalNanjingChina
| | - Lin Li
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese MedicineNanjingChina
- Department of Pathology, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
| | - Yudong Qiu
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
| | - Liang Mao
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
| | - Baorui Liu
- The Comprehensive Cancer Centre, Department of Oncology, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
- Department of OncologyChina Pharmaceutical University Nanjing Drum Tower HospitalNanjingChina
| | - Jie Shen
- The Comprehensive Cancer Centre, Department of Oncology, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
- Department of OncologyChina Pharmaceutical University Nanjing Drum Tower HospitalNanjingChina
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Wu Q, Han R, Li Z, Huang X, Cheng D, Ni J, Zhang S, Tan X, Kang P, Yu S, Chen A, Lu Y, Yao F, Jin Z, Qin Y, Guo J, Liu D, Zhang Y, Song Y, Zhu L, Lu Q, Chen Q, Lin C, Fang Q, Maimaitikasimu M, Wu J, Jia W, Sheng B, Wang J, Li H. Effect of virtual reality-based exercise and physical exercise on adolescents with overweight and obesity: study protocol for a randomised controlled trial. BMJ Open 2023; 13:e075332. [PMID: 37821136 PMCID: PMC10582966 DOI: 10.1136/bmjopen-2023-075332] [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: 05/04/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023] Open
Abstract
INTRODUCTION Obesity is a complex and multifactorial disease that has affected many adolescents in recent decades. Clinical practice guidelines recommend exercise as the key treatment option for adolescents with overweight and obesity. However, the effects of virtual reality (VR) exercise on the physical and brain health of adolescents with overweight and obese remain unclear. This study aims to evaluate the effects of physical and VR exercises on physical and brain outcomes and explore the differences in benefits between them. Moreover, we will apply a multiomics analysis to investigate the mechanism underlying the effects of physical and VR exercises on adolescents with overweight and obesity. METHODS AND ANALYSIS This randomised controlled clinical trial will include 220 adolescents with overweight and obesity aged between 11 and 17 years. The participants will be randomised into five groups after screening. Participants in the exercise groups will perform an exercise programme by adding physical or VR table tennis or soccer classes to routine physical education classes in schools three times a week for 8 weeks. Participants in the control group will maintain their usual physical activity. The primary outcome will be the change in body fat mass measured using bioelectrical impedance analysis. The secondary outcomes will include changes in other physical health-related parameters, brain health-related parameters and multiomics variables. ETHICS AND DISSEMINATION This study was approved by the Ethics Committee of Shanghai Sixth People's Hospital and registered in the Chinese Clinical Trial Registry. Dissemination of the findings will include peer-reviewed publications, conference presentations and media releases. TRIAL REGISTRATION NUMBER ChiCTR2300068786.
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Affiliation(s)
- Qian Wu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Han
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhen Li
- School of Physical Education and Training, Shanghai University of Sport, Shanghai, China
| | - Xiaojun Huang
- China Table Tennis College, Shanghai University of Sport, Shanghai, China
| | - Di Cheng
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiacheng Ni
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shizhe Zhang
- School of Physical Education and Training, Shanghai University of Sport, Shanghai, China
| | - Xunan Tan
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China
| | - Piao Kang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shujie Yu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Anran Chen
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuwei Lu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fangshu Yao
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Zihao Jin
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Yiming Qin
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Liu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Zhang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanxia Song
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China
| | - Liping Zhu
- Shanghai Bao Shan Middle School, Shanghai, China
| | - Qin Lu
- Shanghai Bao Shan Middle School, Shanghai, China
| | - Qiandi Chen
- Shanghai Qiu Zhen Middle School, Shanghai, China
| | | | - Qichen Fang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Jiarui Wu
- Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Sheng
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Jihong Wang
- School of Physical Education and Training, Shanghai University of Sport, Shanghai, China
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Li Y, Cen J, Wu J, Tang M, Guo J, Hang J, Zhao Q, Zhao G, Huang X, Han B. The Degree of Anxiety and Depression in Patients With Cardiovascular Diseases as Assessed Using a Mobile App: Cross-Sectional Study. J Med Internet Res 2023; 25:e48750. [PMID: 37792455 PMCID: PMC10585437 DOI: 10.2196/48750] [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: 05/05/2023] [Revised: 08/12/2023] [Accepted: 09/07/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Depression and anxiety are common comorbidities in cardiovascular clinic outpatients. Timely identification and intervention of these mental and psychological disorders can contribute to correct diagnosis, better prognosis, less medical expenses, and improved quality of life. The convenience of online doctor-patient communication platforms has increasingly attracted patients to online consultations. However, online health care and offline health care are very different. Research on how to identify psychological disorders in patients who engage in an online cardiology consultation is lacking. OBJECTIVE This study aimed to explore the feasibility of using a self-rating scale to assess mental illness among patients who consult with a cardiologist online and to compare the differences in anxiety and depression between online and offline patients. METHODS From June 2022 to July 2022, we conducted follow-up visits with 10,173 patients on the Haodf platform. We conducted detailed consultations with 286 patients who visited the same cardiologist in the outpatient department. We used the self-rated Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) scales to assess anxiety and depression, respectively. We analyzed the influencing factors related to the degree of coordination of online patients. We also compared the prevalence of anxiety or depression between online and offline patients and analyzed the factors related to anxiety or depression. RESULTS Of the 10,173 online consultation patients, only 186 (1.8%) responded effectively. The response rate of the offline consultation patients was 96.5% (276/286). Frequent online communication and watching live video broadcasts were significantly related to effective responses from online patients (P<.001). The prevalence of anxiety (70/160, 43.7% vs 69/266, 25.8%; P<.001) or depression (78/160, 48.7% vs 74/266, 27.7%; P<.001) in online consultation patients was significantly higher than that in offline patients. In bivariate analyses, the factors related to anxiety included female sex, unemployment, no confirmed cardiovascular disease, and the online consultation mode, while smokers and those who underwent COVID-19 quarantine were less likely to present with anxiety. The factors related to depression included female sex, divorced or separated individuals, and the online consultation mode. COVID-19 quarantine was related with a lower likelihood of depression. BMI was negatively correlated with depression. In multiple ordered logistic regression analysis, women were more likely than men to present with anxiety (odds ratio [OR] 2.181, 95% CI 1.365-3.486; P=.001). Women (OR 1.664, 95% CI 1.082-2.559; P=.02) and online patients (OR 2.631, 95% CI 1.305-5.304; P=.007) were more likely to have depression. CONCLUSIONS Online patients had more anxiety or depression than offline patients. Anxiety was more prevalent in women, the unemployed, and those without confirmed cardiovascular disease. Women and divorced or separated individuals were more prone to depression. Increasing the frequency of doctor-patient communication and participating in video interactions can help improve patient cooperation.
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Affiliation(s)
- Yongguang Li
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Center for Hospital Operation Research, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Jue Cen
- Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junxia Wu
- Department of Comprehensive Statistics, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China
| | - Min Tang
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingyi Guo
- Department of Clinical Research Center, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingyu Hang
- Department of Cardiology, Shanghai United Family Hospital, Shanghai, China
| | - Qing Zhao
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gang Zhao
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoli Huang
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Beibei Han
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhao M, Zou G, Tang J, Guo J, Wang F, Chen Z. Probe-labeled electrochemical approach for highly selective detection of 5-carboxycytosine in DNA. Anal Chim Acta 2023; 1273:341521. [PMID: 37423653 DOI: 10.1016/j.aca.2023.341521] [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: 04/03/2023] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 07/11/2023]
Abstract
5-carboxycytosine (5caC) plays a critical role as an intermediate form in DNA methylation and demethylation processes. Its distribution and quantity significantly influence the dynamic equilibrium of these processes, thereby impacting the normal physiological activities of organisms. However, the analysis of 5caC presents a significant challenge due to its low abundance in the genome, making it almost undetectable in most tissues. In response to this challenge, we propose a selective method for 5caC detection using differential pulse voltammetry (DPV) at glassy carbon electrode (GCE), hinging on probe labeling. The probe molecule Biotin LC-Hydrazide was introduced into the target base and the labeled DNA was immobilized onto the electrode surface with the help of T4 polynucleotide kinase (T4 PNK). Leveraging the precise and efficient recognition of streptavidin and biotin, streptavidin-horseradish peroxidase (SA-HRP) on the surface of the electrode catalyzed a redox reaction involving hydroquinone and hydrogen peroxide, resulting in an amplified current signal. This procedure allowed us to quantitatively detect 5caC based on variations in current signals. This method demonstrated good linearity ranging from 0.01 to 100 nM with a detection limit as low as 7.9 pM. We have successfully applied it to evaluate the 5caC levels in complex biological samples. The probe labeling contributes to a high selectivity for 5caC detection, while the sulfhydryl modification via T4 PNK efficiently circumvents the limitation of specific sequences. Encouragingly, no reports have been made about electrochemical methods for detecting 5caC in DNA, suggesting that our method offers a promising alternative for 5caC detection in clinical samples.
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Affiliation(s)
- Mei Zhao
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China
| | - Guangrong Zou
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
| | - Jing Tang
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China
| | - Jingyi Guo
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China
| | - Fang Wang
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China.
| | - Zilin Chen
- School of Pharmaceutical Sciences, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), Wuhan University, Wuhan, 430071, China.
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Cui T, Xiao X, Pan Z, Tang K, Zhong Y, Chen Y, Guo J, Duan S, Zhong G, Li T, Li X, Wu X, Lin C, Yang X, Gao Y, Zhang D. Harnessing the Therapeutic Potential of Ginsenoside Rd for Activating SIRT6 in Treating a Mouse Model of Nonalcoholic Fatty Liver Disease. ACS Omega 2023; 8:29735-29745. [PMID: 37599957 PMCID: PMC10433470 DOI: 10.1021/acsomega.3c04122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 07/24/2023] [Indexed: 08/22/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a prevalent global condition and a common precursor to liver cancer, yet there is currently no specific medication available for its treatment. Ginseng, renowned for its medicinal and dietary properties, has been utilized in NAFLD management, although the precise underlying mechanism remains elusive. To investigate the effectiveness of ginsenoside Rd, we employed mouse and cell models to induce NAFLD using high-fat diets, oleic acid, and palmitic acid. We explored and confirmed the specific mechanism of ginsenoside Rd-induced hepatic steatosis through experiments involving mice with a liver-specific knockout of SIRT6, a crucial protein involved in metabolic regulation. Our findings revealed that administration of ginsenoside Rd significantly reduced the inflammatory response, reactive oxygen species (ROS) levels, lipid peroxide levels, and mitochondrial stress induced by oleic acid and palmitic acid in primary hepatocytes, thereby mitigating excessive lipid accumulation. Moreover, ginsenoside Rd administration effectively enhanced the mRNA content of key proteins involved in fatty acid oxidation, with a particular emphasis on SIRT6 and its target proteins. We further validated that ginsenoside Rd directly binds to SIRT6, augmenting its deacetylase activity. Notably, we made a significant observation that the protective effect of ginsenoside Rd against hepatic disorders induced by a fatty diet was almost entirely reversed in mice with a liver-specific SIRT6 knockout. Our findings highlight the potential therapeutic impact of Ginsenoside Rd in NAFLD treatment by activating SIRT6. These results warrant further investigation into the development of Ginsenoside Rd as a promising agent for managing this prevalent liver disease.
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Affiliation(s)
- Tianqi Cui
- The
Fourth Clinical Medical College of Guangzhou University of Chinese
Medicine, Shenzhen 518033, China
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Xiaoxia Xiao
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Zhisen Pan
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Kaijia Tang
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Yadi Zhong
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Yingjian Chen
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Jingyi Guo
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Siwei Duan
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Guangcheng Zhong
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Tianyao Li
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Xiang Li
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Xiumei Wu
- Emergency
Department of the First Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510006, China
| | - Chuanquan Lin
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Xiaoying Yang
- Jiangsu
Key Laboratory of Immunity and Metabolism, Department of Pathogen
Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Yong Gao
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou 510006, China
| | - Dong Zhang
- The
Fourth Clinical Medical College of Guangzhou University of Chinese
Medicine, Shenzhen 518033, China
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24
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Han J, Zhang R, Guo J, Zheng Q, Chen X, Wu S, Tan J, Li Y. Correction: The association between air pollution and the daily hospital visits for atrial fibrillation recorded by ECG: a case-crossover study. Eur J Med Res 2023; 28:282. [PMID: 37573359 PMCID: PMC10422782 DOI: 10.1186/s40001-023-01266-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/14/2023] Open
Affiliation(s)
- Jiming Han
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, 200233, People's Republic of China
| | - Rui Zhang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, People's Republic of China
| | - Jingyi Guo
- Department of Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, People's Republic of China
| | - Qingfeng Zheng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, 280 Caoxi North Rd, Shanghai, 200030, People's Republic of China
| | - Xin Chen
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, 200233, People's Republic of China
| | - Shanmei Wu
- Shanghai Jiao Tong University School of Medicine, 227 Chungking South Rd, Shanghai, People's Republic of China
| | - Jianguo Tan
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, 280 Caoxi North Rd, Shanghai, 200030, People's Republic of China.
| | - Yongguang Li
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, 200233, People's Republic of China.
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Guo J, Huang S, Yi Q, Liu N, Cui T, Duan S, Chen J, Li J, Li J, Wang L, Gao Y, Nie G. Hepatic Clstn3 Ameliorates Lipid Metabolism Disorders in High Fat Diet-Induced NAFLD through Activation of FXR. ACS Omega 2023; 8:26158-26169. [PMID: 37521618 PMCID: PMC10373204 DOI: 10.1021/acsomega.3c02347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 06/22/2023] [Indexed: 08/01/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) has become serious liver disease all over the world. At present, NAFLD caused by high calorie and fat diet is increasing. Calsyntenin-3 (Clstn3) is a transmembrane protein that has recently been found to participate in lipid energy metabolism. But whether Clstn3 affects NAFLD lipid metabolism has not been analyzed. We stimulate the mice primary hepatocytes (MPHs) with oleic acid and palmitic acid (OA&PA) to establish a cell model. Then, potential targets, including Clstn3 gene, were validated for improving lipid metabolism disorder in NAFLD model mice (HFD and db/db) by silencing and overexpressing hepatic Clstn3. Moreover, the effects of Clstn3 on lipid homeostasis were determined by functional determination, triglyceride (TG) levels, total cholesterol (TC) levels, ELISA, and qRT-PCR detection. Our results displayed that Clstn3 was decreased in the NAFLD mice model. Also, overexpression of Clstn3 improved lipid metabolism disorders, gluconeogenesis, and energy homeostasis and reduced liver injury, inflammation, and oxidative stress injury. However, opposite results were obtained in Clstn3-silencing mice, suggesting that the Clstn3 gene is closely related to lipid metabolism disorder in NAFLD. RNAseq expression demonstrated that Farnesoid X Receptor (FXR) expression was increased after overexpression of Clstn3. Clstn3 supplementation in FXRKO mice can improve the dysfunction caused by insufficient FXR, suggesting that Clstn3 can improve the NAFLD lipid metabolism disorder to some extent through FXR, which may provide a new method for the treatment of NAFLD.
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Affiliation(s)
- Jingyi Guo
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou, Guangdong 510120, China
| | - Shangyi Huang
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
| | - Qincheng Yi
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou, Guangdong 510120, China
| | - Naihua Liu
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
| | - Tianqi Cui
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
| | - Siwei Duan
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
| | - Jiabing Chen
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
| | - Jiayu Li
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
| | - Jun Li
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou, Guangdong 510120, China
| | - Lei Wang
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou, Guangdong 510120, China
- Department
of Cardiovascular Medicine, The Second Affiliated
Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, China
| | - Yong Gao
- Science
and Technology Innovation Center, Guangzhou
University of Chinese Medicine, Guangzhou, Guangdong 510080, China
| | - Guangning Nie
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou, Guangdong 510120, China
- Department
of Gynecology, The Second Affiliated Hospital
of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, China
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Liu H, Li J, Hu Y, Guo J, Lou T, Luo G, Chen S, Wang W, Ruan H, Sun Z, Fan C. Association Between Tranexamic Acid Use and Heterotopic Ossification Prevalence After Elbow Trauma Surgery: A Propensity-Score-Matched Cohort Study. J Bone Joint Surg Am 2023; 105:1093-1100. [PMID: 37339180 DOI: 10.2106/jbjs.22.01212] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
BACKGROUND Heterotopic ossification (HO) is a common complication of elbow trauma that can affect limb mobility. Inflammation is an initiating factor for HO formation. Tranexamic acid (TXA) can reduce the inflammatory response after orthopaedic surgery. However, evidence regarding the effectiveness of TXA use for HO prevention after elbow trauma surgery is lacking. METHODS This retrospective observational propensity-score-matched (PSM) cohort study was conducted from July 1, 2019, to June 30, 2021, at the National Orthopedics Clinical Medical Center, Shanghai, People's Republic of China. A total of 640 patients who underwent surgery following elbow trauma were evaluated. The present study excluded patients with an age of <18 years; those with a history of elbow fracture; those with a central nervous system injury, spinal cord injury, burn injury, or destructive injury; and those who had been lost to follow-up. After 1:1 matching on the basis of sex, age, dominant arm, injury type, open injury, comminuted fracture, ipsilateral trauma, time from injury to surgery, and nonsteroidal anti-inflammatory drug use, the TXA group and the no-TXA group comprised 241 patients each. RESULTS In the PSM population, the prevalence of HO was 8.71% in the TXA group and 16.18% in the no-TXA group (with rates of 2.07% and 5.80% for clinically important HO, respectively). Logistic regression analyses showed that TXA use was associated with a lower rate of HO (odds ratio [OR], 0.49; 95% CI, 0.28 to 0.86; p = 0.014) than no TXA use, as well as with a lower rate of clinically important HO (OR, 0.34; 95% CI, 0.11 to 0.91; p = 0.044). None of the baseline covariates significantly affected the relationship between TXA use and HO rate (p > 0.05 for all). Sensitivity analyses supported these findings. CONCLUSIONS TXA prophylaxis may be an appropriate method for the prevention of HO following elbow trauma. LEVEL OF EVIDENCE Therapeutic Level III . See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- Hang Liu
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Juehong Li
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Yuehao Hu
- Department of Orthopaedic Surgery, Shanghai Key Laboratory of Orthopaedic Implants, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Tengfei Lou
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Gang Luo
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Shuai Chen
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Wei Wang
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Hongjiang Ruan
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Ziyang Sun
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
| | - Cunyi Fan
- Department of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai, People's Republic of China
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27
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Long Q, Zhou Y, Guo J, Wu H, Liu X. Multi-phase separation in mitochondrial nucleoids and eukaryotic nuclei. Biophys Rep 2023; 9:113-119. [PMID: 38028151 PMCID: PMC10648231 DOI: 10.52601/bpr.2023.220018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 02/10/2023] [Indexed: 03/28/2023] Open
Abstract
In mammalian cells, besides nuclei, mitochondria are the only semi-autonomous organelles possessing own DNA organized in the form of nucleoids. While eukaryotic nuclear DNA compaction, chromatin compartmentalization and transcription are regulated by phase separation, our recent work proposed a model of mitochondrial nucleoid self-assembly and transcriptional regulation by multi-phase separation. Herein, we summarized the phase separation both in the nucleus and mitochondrial nucleoids, and did a comparison of the organization and activity regulating, which would provide new insight into the understanding of both architecture and genetics of nucleus and mitochondrial nucleoids.
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Affiliation(s)
- Qi Long
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Yanshuang Zhou
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Jingyi Guo
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Hao Wu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong SAR, China
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28
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Han J, Zhang R, Guo J, Zheng Q, Chen X, Wu S, Tan J, Li Y. The association between air pollution and the daily hospital visits for atrial fibrillation recorded by ECG: a cross-sectional study. Eur J Med Res 2023; 28:201. [PMID: 37381047 PMCID: PMC10308751 DOI: 10.1186/s40001-023-01170-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/14/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND The relationship between air pollution and atrial fibrillation (AF) recorded by electrocardiograph (ECG) has not yet been illustrated which worsens AF precaution and treatment. This research evaluated the association between air pollution and daily hospital visits for AF with ECG records. METHODS The study enrolled 4933 male and 5392 female patients whose ECG reports indicated AF from 2015 to 2018 in our hospital. Such data were then matched with meteorological data, including air pollutant concentrations, collected by local weather stations. A case-crossover study was performed to assess the relationship between air pollutants and daily hospital visits for AF recorded by ECG and to investigate its lag effect. RESULTS Our analysis revealed statistically significant associations between AF occurrence and demographic data, including age and gender. This effect was stronger in female (k = 0.02635, p < 0.01) and in patients over 65 y (k = 0.04732, p < 0.01). We also observed a hysteretic effect that when exposed to higher nitrogen dioxide(NO2), counting AF cases recorded by ECG may elevate at lag 0 with a maximum odds ratio(OR) of 1.038 (95% CI 1.014-1.063), on the contrary, O3 reduced the risk of daily visits for AF and its maximum OR was at lag 2, and the OR value was 0.9869 (95% CI 0.9791-0.9948). Other air pollutants such as PM2.5, PM10, and SO2 showed no clear relationship with the recorded AF. CONCLUSION The associations between air pollution and AF recorded with ECG were preliminarily discovered. Short-term exposure to NO2 was significantly associated with daily hospital visits for AF management.
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Affiliation(s)
- Jiming Han
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, 200233, People's Republic of China
| | - Rui Zhang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, People's Republic of China
| | - Jingyi Guo
- Department of Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, People's Republic of China
| | - Qingfeng Zheng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, 280 Caoxi North Rd, Shanghai, 200030, People's Republic of China
| | - Xin Chen
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, 200233, People's Republic of China
| | - Shanmei Wu
- Shanghai Jiao Tong University School of Medicine, 227 Chungking South Rd, Shanghai, People's Republic of China
| | - Jianguo Tan
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, 280 Caoxi North Rd, Shanghai, 200030, People's Republic of China.
| | - Yongguang Li
- Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Rd, Shanghai, 200233, People's Republic of China.
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29
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Lai S, Yan D, Xu J, Yu X, Guo J, Fang X, Tang M, Zhang R, Zhang H, Jia W, Luo M, Hu C. Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus. Nutr J 2023; 22:31. [PMID: 37370090 DOI: 10.1186/s12937-023-00862-9] [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] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/24/2023] [Indexed: 06/29/2023] Open
Abstract
AIM To explore the genetic effects of CYP2C8, CYP2C9, CYP2J2, and EPHX2, the key genes involved in epoxyeicosatrienoic acid processing and degradation pathways in gestational diabetes mellitus (GDM) and metabolic traits in Chinese pregnant women. METHODS A total of 2548 unrelated pregnant women were included, of which 938 had GDM and 1610 were considered as controls. Common variants were genotyped using the Infinium Asian Screening Array. Association studies of single nucleotide polymorphisms (SNPs) with GDM and related traits were performed using logistic regression and multivariable linear regression analyses. A genetic risk score (GRS) model based on 12 independent target SNPs associated with GDM was constructed. Logistic regression was used to estimate odds ratios and 95% confidence intervals, adjusting for potential confounders including age, pre-pregnancy body mass index, history of polycystic ovarian syndrome, history of GDM, and family history of diabetes, with GRS entered both as a continuous variable and categorized groups. The relationship between GRS and quantitative traits was also evaluated. RESULTS The 12 SNPs in CYP2C8, CYP2C9, CYP2J2, and EPHX2 were significantly associated with GDM after adjusting for covariates (all P < 0.05). The GRS generated from these SNPs significantly correlated with GDM. Furthermore, a significant interaction between CYP2J2 and CYP2C8 in GDM (PInteraction = 0.014, ORInteraction= 0.61, 95%CI 0.41-0.90) was observed. CONCLUSION We found significant associations between GDM susceptibility and 12 SNPs of the four genes involved in epoxyeicosatrienoic acid processing and degradation pathways in a Chinese population. Subjects with a higher GRS showed higher GDM susceptibility with higher fasting plasma glucose and area under the curve of glucose and poorer β-cell function.
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Affiliation(s)
- Siyu Lai
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Endocrinology and Metabolism, Southern Medical University Affiliated Fengxian Hospital, Shanghai, China
| | - Dandan Yan
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Xu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangtian Yu
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangnan Fang
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Endocrinology and Metabolism, Southern Medical University Affiliated Fengxian Hospital, Shanghai, China
- Department of Endocrinology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Mengyang Tang
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Endocrinology and Metabolism, Southern Medical University Affiliated Fengxian Hospital, Shanghai, China
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiping Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Mingjuan Luo
- Department of Endocrinology and Metabolism, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
| | - Cheng Hu
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.
- Department of Endocrinology and Metabolism, Southern Medical University Affiliated Fengxian Hospital, Shanghai, China.
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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30
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Lin S, Liu Z, Guo J, Zhu L, Xu W, Wu W, Liao H, Gao Q, Zhou H. Identification of Fusarium sacchari Causing Foliar Blight on Begonia semperflorens in China. Plant Dis 2023. [PMID: 37368439 DOI: 10.1094/pdis-01-23-0124-pdn] [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: 06/28/2023]
Abstract
Begonia semperflorens Link et Otto (Begoniaceae) is a flowering, ornamental plant widely cultivated in China. In April of 2020, a foliar blight disease on B. semperflorens was observed in plant nurseries (∼0.2 ha), with ~ 20% disease incidence (n = 150) in Nanning, Guangxi Province, China. Initial symptoms included irregular to circular, grayish white spots surrounded by a dark brown halo, mainly scattered on the edges the leaves. In severe infections, the spots frequently coalesced to form large, blighted areas, followed by defoliation. To isolate the pathogen, three representative plants exhibiting symptoms were collected from the nurseries. Leaf tissues (5 × 5 mm) were cut from the margin of necrotic lesions (n = 18), surface disinfected in 1% NaOCl for 2 min, then rinsed three times in sterile H2O. Then the tissues were plated on potato dextrose agar (PDA), and incubated at 28°C (12 h photoperiod) for 3 days. Hyphal tips from recently germinated spores were transferred to PDA to purify fungal isolates. A total of 11 isolates (85% isolation frequency) with similar morphological characteristics were obtained. Colonies on PDA plates were villose, had a dense growth of white aerial mycelia and appeared pale but becoming violet with age. On Spezieller Nährstoffarmer Agar (SNA), the macroconidia were slender, slight falcate, two to three septate, and 23.5 to 48.8 × 2.8 to 4.8 μm (n = 60), and the microconidia were abundant and formed in false heads on monophialides or polyphialides, slim, oval, zero to one septate, and 7.8 to 22.4 × 2.4 to 4.0 μm (n = 60). For molecular identification, the internal transcribed spacer (ITS) region of rDNA, and partial translation elongation factor-1 alpha (TEF-1α), and RNA polymerase second largest subunit (RPB2) genes of the representative isolate HT-2B were amplified and sequenced using primer pairs ITS1/ITS4 (White et al. 1990), EF-1/EF-2 (O'Donnell et al. 1998), and 5f2/11ar (Liu et al. 1999, Reeb et al. 2004), respectively. The obtained sequences were deposited in NCBI GenBank under the accession numbers OQ048268 (TIS), OP994260 (TEF-1α), OP994262 (RPB2) and showed 99.4%, 99.8%, and 99.4% similarity with the corresponding sequences (X94168,AF160278,and JX171580, respectively) of Fusarium sacchari from type material. In addition, a phylogenetic analysis showed that HT-2B was grouped with F. sacchari. Therefore, based on morphological (Leslie et al. 2005) and molecular characteristics, the isolates were identified as F. sacchari. To test pathogenicity, three healthy leaves on each of three B. semperflorens plants were stab-wounded with a sterile syringe and inoculated with a 10-μl droplet of a conidial suspension (106 spores/ml) of the isolate HT-2B. As a control, another three leaves were wound inoculated with sterilized dH2O. All plants were enclosed in transparent plastic bags and incubated in a greenhouse at 28°C (12 h photoperiod, ~ 80% relative humidity). Six days post-inoculation, symptoms appeared on the inoculated leaves. No symptoms were detected on control plants. Experiments were replicated three times with similar results. To fulfill Koch's postulates, the F. sacchari isolates were consistently re-isolated from symptomatic tissue and confirmed by morphology and sequencing, whereas no fungus was isolated from the control plants. To our knowledge, this is the first report of F. sacchari causing foliar blight on B. semperflorens in China. This result will help develop management strategies for this disease.
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Affiliation(s)
- Siyu Lin
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, China;
| | - Ze Liu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, nanning, Nanning, China, 054100;
| | - Jingyi Guo
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi Minzu University, Nanning, China;
| | - Liumei Zhu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi Minzu University., Nanning, China;
| | - Wantong Xu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi Minzu University, Nanning, China;
| | - Weiyi Wu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi Minzu University, Nanning, China;
| | - Hongze Liao
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi Minzu University., Nanning, China;
| | - Qi Gao
- Guangxi University for Nationalities, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530006, P.R. China, Nanning, China, 530006;
| | - Hao Zhou
- Guangxi University for Nationalities, 47874, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, 188 Daxuedong Road, Nanning, Guangxi, China, 530006
- Guangxi University for Nationalities, 47874, Key Laboratory of Protection and Utilization of Marine Resources, 188 Daxuedong Road, Nanning, China, 530006;
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Yang S, Huang L, Liang H, Guo J, Liu L, Chen S, Cao M. Loss of flrt2 gene leads to microphthalmia in zebrafish. Biol Open 2023; 12:bio059784. [PMID: 37259881 PMCID: PMC10281255 DOI: 10.1242/bio.059784] [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: 12/08/2022] [Accepted: 05/25/2023] [Indexed: 06/02/2023] Open
Abstract
As a member of the fibronectin leucine-rich transmembrane (flrt) gene family, fibronectin leucine-rich transmembrane 2 (flrt2) is strongly expressed in a subset of sclerotome cells, and the resultant protein interacts with FGFR1 in the FGF signaling pathway during development. Studies on flrt2 have focused mainly on its roles in the brain, heart and chondrogenesis. However, reports on its expression and function in the zebrafish retina are lacking. Here, we detected the high expression of flrt2 in zebrafish retina using in situ hybridization technique and developed an flrt2-knockout (KO) zebrafish line using CRISPR/Cas9 genome editing. Quantitative real-time PCR was used to measure the expression levels of flrt2, which results in an approximately 60% mRNA reduction. The flrt2-KO zebrafish eyes' altered morphological, cellular, and molecular events were identified using BrdU labeling, TUNEL assay, immunofluorescent staining, fluorescent dye injection and RNA sequencing. Abnormal eye development, known as microphthalmia, was found in flrt2-KO larvae, and the retinal progenitor cells exhibited increased apoptosis, perhaps owing to the combined effects of crx, neurod4, atoh7, and pcdh8 downregulation and Casp3a and Caspbl upregulation. In contrast, the retinal neural development, as well as retinal progenitor cell differentiation and proliferation, were not affected by the flrt2 deletion. Thus, flrt2 appears to play important roles in retinal development and function, which may provide the basis for further investigations into the molecular mechanisms of retinal development and evolution.
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Affiliation(s)
- Siyu Yang
- Department of Ophthalmology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, China
| | - Lianggui Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Huiling Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Jingyi Guo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Liyue Liu
- China Zebrafish Resource Center, National Aquatic Biological Resource Center, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Shuyi Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Mingzhe Cao
- Department of Ophthalmology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, China
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32
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Liu N, Yang X, Guo J, Zhang L, Huang S, Chen J, Huang J, Chen Y, Cui T, Zheng Y, Li T, Tang K, Zhong Y, Duan S, Yu L, Tang Y, Zheng D, Pan H, Gao Y. Hepatic ZBTB22 promotes hyperglycemia and insulin resistance via PEPCK1-driven gluconeogenesis. EMBO Rep 2023; 24:e56390. [PMID: 37154299 PMCID: PMC10240208 DOI: 10.15252/embr.202256390] [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: 10/28/2022] [Revised: 03/31/2023] [Accepted: 04/14/2023] [Indexed: 05/10/2023] Open
Abstract
Excessive gluconeogenesis can lead to hyperglycemia and diabetes through as yet incompletely understood mechanisms. Herein, we show that hepatic ZBTB22 expression is increased in both diabetic clinical samples and mice, being affected by nutritional status and hormones. Hepatic ZBTB22 overexpression increases the expression of gluconeogenic and lipogenic genes, heightening glucose output and lipids accumulation in mouse primary hepatocytes (MPHs), while ZBTB22 knockdown elicits opposite effects. Hepatic ZBTB22 overexpression induces glucose intolerance and insulin resistance, accompanied by moderate hepatosteatosis, while ZBTB22-deficient mice display improved energy expenditure, glucose tolerance, and insulin sensitivity, and reduced hepatic steatosis. Moreover, hepatic ZBTB22 knockout beneficially regulates gluconeogenic and lipogenic genes, thereby alleviating glucose intolerance, insulin resistance, and liver steatosis in db/db mice. ZBTB22 directly binds to the promoter region of PCK1 to enhance its expression and increase gluconeogenesis. PCK1 silencing markedly abolishes the effects of ZBTB22 overexpression on glucose and lipid metabolism in both MPHs and mice, along with the corresponding changes in gene expression. In conclusion, targeting hepatic ZBTB22/PEPCK1 provides a potential therapeutic approach for diabetes.
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Affiliation(s)
- Naihua Liu
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
- Key Specialty of Clinical PharmacyThe First Affiliated Hospital of Guangdong Pharmaceutical UniversityGuangzhouChina
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of TumorNanjing University of Chinese MedicineNanjingJiangsu ProvinceChina
| | - Xiaoying Yang
- Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogen Biology and ImmunologyXuzhou Medical UniversityXuzhouChina
| | - Jingyi Guo
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Lei Zhang
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Shangyi Huang
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Jiabing Chen
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Jiawen Huang
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Yingjian Chen
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Tianqi Cui
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Yi Zheng
- Faculty of Chinese MedicineMacau University of Science and TechnologyMacauChina
| | - Tianyao Li
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Kaijia Tang
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Yadi Zhong
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Siwei Duan
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
| | - Lili Yu
- Faculty of Chinese MedicineMacau University of Science and TechnologyMacauChina
| | - Ying Tang
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of TumorNanjing University of Chinese MedicineNanjingJiangsu ProvinceChina
| | - Dayong Zheng
- Department of HepatologyTCM‐Integrated Hospital of Southern Medical UniversityGuangzhouChina
- Department of HepatopancreatobiliaryCancer Center, Southern Medical UniversityGuangzhouChina
- Department of Oncology, The First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhou University of Chinese MedicineGuangzhouChina
| | - Huafeng Pan
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of TumorNanjing University of Chinese MedicineNanjingJiangsu ProvinceChina
| | - Yong Gao
- Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouChina
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of TumorNanjing University of Chinese MedicineNanjingJiangsu ProvinceChina
- Division of Hypothalamic Research, Department of Internal MedicineThe University of Texas Southwestern Medical Center at DallasTXDallasUSA
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33
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng J, Cheng YC, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dugas KV, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay. Phys Rev Lett 2023; 130:211801. [PMID: 37295075 DOI: 10.1103/physrevlett.130.211801] [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: 10/03/2022] [Revised: 02/10/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Y-C Cheng
- Department of Physics, National Taiwan University, Taipei
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - K V Dugas
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Brookhaven National Laboratory, Upton, New York 11973
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Guo J, Liu N, Xie Q, Zhu L, Ge F. Polystyrene microplastics facilitate the biotoxicity and biomagnification of ZnO nanoparticles in the food chain from algae to daphnia. Environ Pollut 2023; 324:121181. [PMID: 36736564 DOI: 10.1016/j.envpol.2023.121181] [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] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/10/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Ubiquitous microplastics (MPs) may affect the trophic transfer of nanoparticles (NPs), in turn threatening aquatic organisms and even human health. Thus, this study explored the influence of polystyrene microplastics (PS MPs) on the biotoxicity and biomagnification of ZnO nanoparticles (ZnO NPs) in the aquatic food chain from Chlorella vulgaris (C. vulgaris) to Daphnia magna (D. magna). The results showed that PS MPs facilitated the biotoxicity of ZnO NPs towards D. magna after dietary exposure. Compared to the control (single ZnO NPs), the heart rate and the level of reactive oxygen species were remarkably increased by 21.25% and 16.32% in the combined system (PS MPs + ZnO NPs), respectively. Notably, PS MPs suppressed the ZnO NPs accumulation in C. vulgaris, while remarkably facilitating the trophic transfer of ZnO NPs to D. magna. The biomagnification of ZnO NPs was evident with a maximal biomagnification factor (BMF) of 1.49 under acute dietary exposure of PS MPs (72 h), but was absent in the single ZnO NPs system (BMF <0.90). Moreover, PS MPs resulted in a larger biomagnification of ZnO NPs with a maximal BMF of 2.11 under chronic dietary exposure (21 days). Furthermore, the Zn element (including ZnO NPs and released Zn2+) was observed to accumulate in the intestine, thus causing ultrastructural damage and lipid droplet (LD) aggregate. Overall, these findings highlight the importance of considering the impact of MPs on co-existed pollutants and contribute to a better understanding of the ecological risks of MPs in aquatic ecosystems.
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Affiliation(s)
- Jingyi Guo
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China
| | - Na Liu
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China
| | - Qiting Xie
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China; College of Environment and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Lizhong Zhu
- College of Environment and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Fei Ge
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
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35
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Chen Y, Cui T, Xiao S, Li T, Zhong Y, Tang K, Guo J, Huang S, Chen J, Li J, Wang Q, Huang J, Pan H, Gao Y. Hepatic ZBTB22-mediated detoxification ameliorates acetaminophen-induced liver injury by inhibiting pregnane X receptor signaling. iScience 2023; 26:106318. [PMID: 36950116 PMCID: PMC10025966 DOI: 10.1016/j.isci.2023.106318] [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: 10/10/2022] [Revised: 01/30/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Overdose acetaminophen (APAP) can cause acute liver injury (ALI), but the underlying mechanism remains undetermined. This study explored the role of hepatic Zinc Finger And BTB Domain Containing 22 (ZBTB22) in defense against APAP-mediated hepatotoxicity. The results showed that hepatic ZBTB22 expression was significantly reduced in patients with ALI and mice. In mouse primary hepatocytes (MPHs), ZBTB22 deletion aggravated APAP overdose-induced ALI, whereas ZBTB22 overexpression attenuated that pathological progression. The results were further verified in ZBTB22 over-express or knockout mice models. In parallel, hepatocyte-specific ZBTB22 knockout also enhanced ALI. Furthermore, ZBTB22 decreased pregnane X receptor (PXR) expression, and the PXR activator pregnane-16α-carbonitrile suppressed the protective effect of ZBTB22 in APAP-induced ZBTB22-overexpressing mice. Collectively, our findings highlight the protective effect of ZBTB22 against APAP-induced ALI and unravel PXR signaling as the potential mechanism. Strategies to increase hepatic ZBTB22 expression represent a promising therapeutic approach for APAP overdose-induced ALI.
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Affiliation(s)
- Yingjian Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Tianqi Cui
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Shaorong Xiao
- School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Tianyao Li
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Yadi Zhong
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Kaijia Tang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Jingyi Guo
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Shangyi Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Jiabing Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Jiayu Li
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
| | - Qi Wang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
- Corresponding author
| | - Jiawen Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
- Corresponding author
| | - Huafeng Pan
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
- Corresponding author
| | - Yong Gao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510080, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Corresponding author
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36
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Chen ZY, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Ding XY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wei W, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay. Phys Rev Lett 2023; 130:161802. [PMID: 37154643 DOI: 10.1103/physrevlett.130.161802] [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: 12/01/2022] [Accepted: 02/24/2023] [Indexed: 05/10/2023]
Abstract
We present a new determination of the smallest neutrino mixing angle θ_{13} and the mass-squared difference Δm_{32}^{2} using a final sample of 5.55×10^{6} inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample is selected from the complete dataset obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are sin^{2}2θ_{13}=0.0851±0.0024, Δm_{32}^{2}=(2.466±0.060)×10^{-3} eV^{2} for the normal mass ordering or Δm_{32}^{2}=-(2.571±0.060)×10^{-3} eV^{2} for the inverted mass ordering.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Z Y Chen
- Institute of High Energy Physics, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | | | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - W Wei
- Shandong University, Jinan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Gu B, Wang Y, Huang J, Guo J, Ma L, Qi Y, Gao S. Retrospective analysis of Porphyromonas gingivalis in patients with nasopharyngeal carcinoma in central China. Mol Clin Oncol 2023; 18:32. [PMID: 36908973 PMCID: PMC9995702 DOI: 10.3892/mco.2023.2628] [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: 11/23/2022] [Accepted: 01/30/2023] [Indexed: 02/25/2023] Open
Abstract
Little is known about the presence and possible role of Porphyromonas gingivalis (P. gingivalis) in nasopharyngeal carcinoma (NPC), its co-infection with Epstein-Barr virus (EBV), or their association with clinical characteristics of patients with NPC in Central China, where NPC is non-endemic. A total of 45 NPC formalin-fixed paraffin-embedded (FFPE) tissues were retrospectively analyzed using immunohistochemistry (IHC) and a nested PCR combined with DNA sequencing to detect the presence of P. gingivalis, and using reverse transcription-quantitative PCR to detect the presence of EBV. Clinical data including EBV and P. gingivalis status were associated with overall survival (OS). All tumors were undifferentiated, non-keratinizing carcinomas, of which 40/45 (88.9%) were positive for EBV (EBV+), 26/45 (57.8%) were positive for P. gingivalis (by IHC), and 7/45 (15.6%) were positive for P. gingivalis DNA (P. gingivalis +). All seven P. gingivalis DNA-positive NPCs were co-infected with EBV. The 5-year survival rates of the patients with EBV-/P. gingivalis -, EBV+/P. gingivalis -, and EBV+/P. gingivalis + tumors were 60.0% (3/5), 39.4% (13/33) and 42.9% (3/7), respectively. No significant difference was found between the OS of NPC patients among the different infection groups (P=0.793). In conclusion, to the best of our knowledge, this is the first study to describe and confirm the presence of P. gingivalis in FFPE tissues from patients with NPC. P. gingivalis was found to co-exist with EBV in NPC tumor tissues, but is not etiologically relevant to NPC in non-endemic areas, such as Central China.
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Affiliation(s)
- Bianli Gu
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, P.R. China
| | - Yuehui Wang
- Department of Otolaryngology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan 471003, P.R. China
| | - Jianwei Huang
- Department of Pathology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, Henan 471003, P.R. China
| | - Jingyi Guo
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, P.R. China
| | - Lixia Ma
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, P.R. China
| | - Yijun Qi
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, P.R. China
| | - Shegan Gao
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, P.R. China
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Shen J, Yan J, Du J, Li X, Wei J, Liu Q, Yong H, Wang X, Chang X, Ding Z, Sun W, Liu C, Zhu S, Guo J, Li H, Liu Y, Zhang W, Liu Z, Li R, Liu B. Multicenter, single-arm, phase II study (CAP) of radiotherapy plus liposomal irinotecan followed by camrelizumab and anti-angiogenic treatment in advanced solid tumors. Front Immunol 2023; 14:1133689. [PMID: 37056765 PMCID: PMC10086408 DOI: 10.3389/fimmu.2023.1133689] [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: 12/29/2022] [Accepted: 01/31/2023] [Indexed: 03/30/2023] Open
Abstract
IntroductionCombination therapeutic mode is likely to be the key to enhance the efficacy of immunotherapy in a wider range of cancer patients. Herein, we conducted an open-label, single-arm, multicenter, phase II clinical trial that enrolled patients with advanced solid tumors who had progressed after standard treatments.MethodsRadiotherapy of 24 Gy/3 fractions/3-10 days was given to the targeted lesions. Liposomal irinotecan (80mg/m2, dose could be adjusted to 60 mg/m2 for intolerable cases) was intravenously (IV) administered once within 48 hours after radiotherapy. Then, camrelizumab (200mg IV, q3w) and anti-angiogenic drugs were given regularly until disease progression. The primary endpoint was objective response rate (ORR) in the target lesions evaluated by investigators per RECIST 1.1. The secondary endpoints were disease control rate (DCR) and treatment-related adverse events (TRAEs).ResultsBetween November 2020 and June 2022, 60 patients were enrolled. The median follow-up was 9.0 months (95% confidence interval (CI) 5.5-12.5). Of 52 evaluable patients, the overall ORR and DCR were 34.6% and 82.7%, respectively. Fifty patients with target lesions were evaluable, the ORR and DCR of the target lesions were 35.3% and 82.4%, respectively. The median progression-free survival was 5.3 months (95% CI 3.6, 6.2), and the median overall survival was not reached. TRAEs (all grades) occurred in 55 (91.7%) patients. The most common grade 3-4 TRAEs were lymphopenia (31.7%), anemia (10.0%), and leukopenia (10.0%).ConclusionThe combination of radiotherapy, liposomal irinotecan, camrelizumab, and anti-angiogenesis therapy demonstrated promising anti-tumor activity and well tolerance in various advanced solid tumors.Clinical trial registrationhttps://clinicaltrials.gov/ct2/home, identifier NCT04569916.
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Affiliation(s)
- Jie Shen
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jing Yan
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Juan Du
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xiaoqin Li
- Department of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Jia Wei
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Qin Liu
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Hongmei Yong
- Department of Oncology, The Affiliated Huai’an Hospital of Xuzhou Medical University and The Second People’s Hospital of Huai’an, Huai’an, China
| | - Xiaolu Wang
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xiaofeng Chang
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Zhou Ding
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Wu Sun
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Chenxi Liu
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Sihui Zhu
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jingyi Guo
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Huajun Li
- Department of Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals Co., Ltd, Shanghai, China
| | - Ying Liu
- Department of Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals Co., Ltd, Shanghai, China
| | - Wulou Zhang
- Department-II of General Surgery, Nanjing Jiangbei Hospital, Nanjing, China
| | - Zonghang Liu
- Department-II of General Surgery, Nanjing Jiangbei Hospital, Nanjing, China
| | - Rutian Li
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- *Correspondence: Baorui Liu, ; Rutian Li,
| | - Baorui Liu
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- *Correspondence: Baorui Liu, ; Rutian Li,
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Wu Q, Yang H, Zheng Q, Chen Q, Li X, Guo J. κ-Opioid Receptors Improve Vascular Endothelial Dysfunction in Salt-Sensitive Hypertension via PI3K/Akt/eNOS Signaling Pathway. Oxid Med Cell Longev 2023; 2023:5352959. [PMID: 36865348 PMCID: PMC9974251 DOI: 10.1155/2023/5352959] [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] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/14/2022] [Accepted: 11/24/2022] [Indexed: 02/23/2023]
Abstract
κ-Opioid receptors (κ-OR) are widely used to regulate the activity of the cardiovascular system. To explore the effect and mechanism of κ-OR on salt-sensitive hypertensive endothelial dysfunction, we used Dah1 rats to construct a rat model of salt-sensitive hypertension on a high-salt (HS) diet. Then, the rats were treated with κ-OR activators U50,488H (1.25 mg/kg) and inhibitor nor-BNI (2.0 mg/kg) for 4 weeks, respectively. The rat aortas were collected to detect the contents of NO, ET-1, AngII, NOS, T-AOC, SO, and NT. Protein expression was determined for NOS, Akt, and Caveolin-1. In addition, the vascular endothelial cells were extracted, and the levels of NO, TNF-α, IL-1, IL-6, IL-8, IL-10, p-Akt, and p-eNOS in cell supernatants were detected. In vivo results showed that compared with the HS group, treated with U50,488H promoted rats' vasodilation by increasing the NO content and decreasing ET-1 and AngII contents. U50,488H reduced endothelial cell apoptosis and attenuated vascular, smooth muscle cell and endothelial cell injury. U50,488H also enhanced the rats' response to oxidative stress by increasing the NOS and T-AOC contents. Moreover, U50,488H increased the eNOS, p-eNOS, Akt, and p-AKT expression and decreased the iNOS and Caveolin-1 expression. In vitro results showed that U50,488H promoted NO, IL-10, p-Akt, and p-eNOS levels in endothelial cell supernatants versus the HS group. And U50,488H reduced the adhesion of peripheral blood mononuclear cells and polymorphonuclear neutrophils to endothelial cells and the migration function of polymorphonuclear neutrophils. Our study suggested that κ-OR activation may improve vascular endothelial dysfunction in salt-sensitive hypertensive rats through the PI3K/Akt/eNOS signaling pathway. This may be a potential therapeutic approach in the treatment of hypertension.
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Affiliation(s)
- Qi Wu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Chengdu Medical College, Chengdu, 610000 Sichuan, China
| | - Hong Yang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Chengdu Medical College, Chengdu, 610000 Sichuan, China
| | - Qin Zheng
- Department of Geriatrics, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610000 Sichuan, China
| | - Qiuhong Chen
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610000 Sichuan, China
| | - Xiaohui Li
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610000 Sichuan, China
| | - Jingyi Guo
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610000 Sichuan, China
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Xue Z, Guo J, Wu S, Xie W, Fu Y, Zhao X, Fan K, Xu M, Yan H, Shao M, Duan X. Co-thermal in-situ reduction of inorganic carbonates to reduce carbon-dioxide emission. Sci China Chem 2023. [DOI: 10.1007/s11426-022-1537-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
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Wang H, Shi YP, Lin S, Liu Z, Guo J, Xiuming H, Liao H, Gao Q, Zhou H. First Report of Epicoccum latusicollum Causing Leaf Blight on Curcuma kwangsiensis in China. Plant Dis 2023; 107:2546. [PMID: 36753765 DOI: 10.1094/pdis-11-22-2668-pdn] [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: 06/18/2023]
Abstract
Curcuma kwangsiensis S. G. Lee et C. F. Liang is a traditional Chinese medicinal plant distributed in Guangxi and Yunnan Province, China. In May 2021, a leaf blight disease on C. kwangsiensi was observed in a plantation (~ 2 ha) in Lingshan county (21°51'00″N, 108°44'00″E), Guangxi Province. Disease incidence was up to 30% (n = 200). Initially, yellow to brown, irregular, water-soaked spots appeared at the tips or margins of leaves. As the disease progressed, the lesions gradually enlarged, merged. Finally, the entire leaf wilted, leading to defoliation. To isolate the pathogen, eighteen small pieces ( ~ 5 mm2) were cut from the margin of the necrotic lesions, surface disinfected with 1% NaOCl solution for 2 min, and rinsed three times in sterile water. Then the tissues were plated onto potato dextrose agar (PDA) and incubated for 3 days at 28°C. Hyphal tips from recently germinated spores were transferred to PDA to obtain pure cultures. Twelve isolates were obtained, of which ten isolates with similar morphological characterization. Two single-spore isolates (CK45.1 and CK45.2) were subjected to further morphological and molecular characterization. Colonies on PDA were villose, had a dense growth of aerial mycelia, and appeared white to grayish eventually. Pycnidia were brown, predominantly spheroidal, and 45.0 to 205.4 μm in diameter (n = 60). Conidia were ellipsoidal, aseptate, and 3.8 to 6.1 × 1.8 to 3.6 μm (n = 90). Morphological characteristics are similar to those of Epicoccum latusicollum (Chen et al. 2017).For molecular identification, primers ITS1/ITS4 (White et al. 1990), LR0R/LR5 (Vilgalys and Hester 1990, Rehner and Samuels 1994), RPB2-Ep-F (GGTCTTGTGTGCCCCGCTGAGAC)/RPB2-Ep-R TCGGGTGACATGACAATCATGGC), and TUB2-Ep-F (GTTCACCTTCAAACCGGTCAATG)/TUB2-Ep-R (AAGTTGTCGGGACGGAAGAGCTG) were used to amplify the internal transcribed spacer (ITS), partial nuclear large subunit rDNA (LSU), RNA polymerase II second largest subunit (rpb2), and β-tubulin (tub2) genes, respectively. The obtained ITS (OP788080-81), LSU (OP811325-26), rpb2 (OP811267-68) and tub2 (OP811269-70) sequences showed 99.8% (478/479, and 478/479 bp), 99.9% (881/882, and 870/871 bp), 99.8 to 100% (429/431, and 429/430 bp), and 99.7% (332/333, and 332/333 bp) identity with those of ex-type strain E. latusicollum CGMCC 3.18346 (KY742101, KY742255, KY742174, KY742343). In addition, a phylogenetic analysis confirmed the isolates as E. latusicollum. Therefore, based on morphological and molecular characteristics, the isolates were identified as E. latusicollum. To verify pathogenicity, healthy leaves on nine plants (1 leaf per plant) were inoculated with mycelial discs from 5-day-old water-agar medium (WA) cultures of the strain CK45.1. Each leaf had four inoculation sites, two were inoculated with a representative strain, and two treated with pollution-free WA discs served as control. Plants were covered with transparent plastic bags and maintained in a greenhouse at 25°C with a 12 h photoperiod. Six days post-inoculation, the inoculated sites of leaves showed brown lesions, while the control remained healthy. The experiments repeated three times showed similar results. Koch's postulates were fulfilled by re-isolation of E. latusicollum from the lesions. To our knowledge, this is the first report of E. latusicollum causing leaf blight of C. kwangsiensi in China. This report might provide important information for growers to manage this disease.
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Affiliation(s)
- Hanyi Wang
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, Guangxi Province, China;
| | - Yun Ping Shi
- Guangxi Academy of Agricultural Science, 125388, Biotechnology Research Institute, Nanning, Guangxi, China;
| | - Siyu Lin
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, China;
| | - Ze Liu
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, China;
| | - Jingyi Guo
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi Minzu University, Nanning, China;
| | - Hou Xiuming
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, China;
| | - Hongze Liao
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, China;
| | - Qi Gao
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, China;
| | - Hao Zhou
- Guangxi Minzu University, Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning, Guangxi, China
- Guangxi Minzu University, Key Laboratory of Protection and Utilization of Marine Resources, Nanning, China;
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Cheng L, Guo J, Lu Y. Inhibition of lipogenesis and sebum secretion for Lotus corniculatus seed extract in vitro and in vivo. Int J Cosmet Sci 2023; 45:62-72. [PMID: 36324215 DOI: 10.1111/ics.12823] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/29/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Botanical ingredients are widely used in hair- and skin-care products. However, few studies have investigated the effectiveness of botanical products on counteracting sebum synthesis and secretion. OBJECTIVE To investigate the composition of Lotus corniculatus seed extract (LC) and its potential inhibition of lipogenesis in SZ95 sebocytes and oily human skin. METHODS The active components of LC solutions were identified by high-performance liquid chromatography (HPLC) and nuclear magnetic resonance (NMR). The in vitro effects of LC were evaluated using SZ95 cells treated with linoleic acid (LA) and dihydrotestosterone (DHT) and incubated with LCs for 24 h and 72 h. Lipogenesis was assessed by Oil Red O and Nile Red staining of the cells. In vivo effects were assessed on 30 subjects with oily skin who were enrolled in a randomized, blank-controlled trial and were treated with LC solution for 6 h and 4 weeks. The skin sebum contents and area on the forehead and cheeks were evaluated using a Sebumeter SM815 and Sebfix sebutape with Visioscan VC98. In addition, VISIA was used to collect half-face photos for analysis. RESULTS A novel active molecule, 5'-o-rhamnosyl uridine, was identified in LC. LC exhibited a dose-dependent inhibitory effect on LA and DHT-induced lipid synthesis. When 5% LC was applied for 3 h, the skin sebum contents and area were significantly reduced compared with the vehicle control, with an obvious reduction after 6 h. Continued use of the serum containing 5% LC for 4 weeks resulted in a significant reduction in the skin sebum contents and area. No adverse reactions were reported during the study. CONCLUSIONS Topical application of LC resulted in an immediate and long-lasting reduction of the sebum contents and area of oily human skin by reducing sebaceous lipogenesis through the LA and DHT pathways. This indicates the potential of LC as a new biological treatment for oily skin.
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Affiliation(s)
- Lu Cheng
- Shanghai JAKA Biotechnology Co., LTD, Shanghai, China
| | - Jingyi Guo
- Shanghai JAKA Biotechnology Co., LTD, Shanghai, China
| | - Yina Lu
- Shanghai JAKA Biotechnology Co., LTD, Shanghai, China
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Hu L, Fu C, Song X, Grimm R, von Busch H, Benkert T, Kamen A, Lou B, Huisman H, Tong A, Penzkofer T, Choi MH, Shabunin I, Winkel D, Xing P, Szolar D, Coakley F, Shea S, Szurowska E, Guo JY, Li L, Li YH, Zhao JG. Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique. Cancer Imaging 2023; 23:6. [PMID: 36647150 PMCID: PMC9843860 DOI: 10.1186/s40644-023-00527-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL-CAD systems are vulnerable to high heterogeneities in DWI, which can interfere with DL-CAD assessments and impair performance. This study aims to compare PCa detection of DL-CAD between zoomed-field-of-view echo-planar DWI (z-DWI) and full-field-of-view DWI (f-DWI) and find the risk factors affecting DL-CAD diagnostic efficiency. METHODS This retrospective study enrolled 354 consecutive participants who underwent MRI including T2WI, f-DWI, and z-DWI because of clinically suspected PCa. A DL-CAD was used to compare the performance of f-DWI and z-DWI both on a patient level and lesion level. We used the area under the curve (AUC) of receiver operating characteristics analysis and alternative free-response receiver operating characteristics analysis to compare the performances of DL-CAD using f- DWI and z-DWI. The risk factors affecting the DL-CAD were analyzed using logistic regression analyses. P values less than 0.05 were considered statistically significant. RESULTS DL-CAD with z-DWI had a significantly better overall accuracy than that with f-DWI both on patient level and lesion level (AUCpatient: 0.89 vs. 0.86; AUClesion: 0.86 vs. 0.76; P < .001). The contrast-to-noise ratio (CNR) of lesions in DWI was an independent risk factor of false positives (odds ratio [OR] = 1.12; P < .001). Rectal susceptibility artifacts, lesion diameter, and apparent diffusion coefficients (ADC) were independent risk factors of both false positives (ORrectal susceptibility artifact = 5.46; ORdiameter, = 1.12; ORADC = 0.998; all P < .001) and false negatives (ORrectal susceptibility artifact = 3.31; ORdiameter = 0.82; ORADC = 1.007; all P ≤ .03) of DL-CAD. CONCLUSIONS Z-DWI has potential to improve the detection performance of a prostate MRI based DL-CAD. TRIAL REGISTRATION ChiCTR, NO. ChiCTR2100041834 . Registered 7 January 2021.
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Affiliation(s)
- Lei Hu
- grid.16821.3c0000 0004 0368 8293Department of Diagnostic and Interventional Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233 China
| | - Caixia Fu
- MR Application Development, Siemens Shenzhen magnetic Resonance Ltd., Shenzhen, China
| | - Xinyang Song
- grid.443573.20000 0004 1799 2448Department of Radiology, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, 441000 China
| | - Robert Grimm
- grid.5406.7000000012178835XMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Heinrich von Busch
- grid.5406.7000000012178835XInnovation Owner Artificial Intelligence for Oncology, Siemens Healthcare GmbH, Erlangen, Germany
| | - Thomas Benkert
- grid.5406.7000000012178835XMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Ali Kamen
- grid.415886.60000 0004 0546 1113Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ USA
| | - Bin Lou
- grid.415886.60000 0004 0546 1113Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ USA
| | - Henkjan Huisman
- grid.10417.330000 0004 0444 9382Radboud University Medical Center, Nijmegen, Netherlands
| | - Angela Tong
- grid.137628.90000 0004 1936 8753New York University, New York City, NY USA
| | - Tobias Penzkofer
- grid.6363.00000 0001 2218 4662Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Moon Hyung Choi
- grid.411947.e0000 0004 0470 4224Eunpyeong St. Mary’s Hospital, Catholic University of Korea, Seoul, Republic of Korea
| | | | - David Winkel
- grid.410567.1Universitätsspital Basel, Basel, Switzerland
| | - Pengyi Xing
- grid.411525.60000 0004 0369 1599Changhai Hospital, Shanghai, China
| | | | - Fergus Coakley
- grid.5288.70000 0000 9758 5690Oregon Health and Science University, Portland, OR USA
| | - Steven Shea
- grid.411451.40000 0001 2215 0876Loyola University Medical Center, Maywood, IL USA
| | - Edyta Szurowska
- grid.11451.300000 0001 0531 3426Medical University of Gdansk, Gdansk, Poland
| | - Jing-yi Guo
- grid.16821.3c0000 0004 0368 8293Clinical Research Center, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233 China
| | - Liang Li
- grid.412632.00000 0004 1758 2270Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430060 China
| | - Yue-hua Li
- grid.16821.3c0000 0004 0368 8293Department of Diagnostic and Interventional Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233 China
| | - Jun-gong Zhao
- grid.16821.3c0000 0004 0368 8293Department of Diagnostic and Interventional Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233 China
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Wu S, Wang W, Li R, Guo J, Miao Y, Li G, Mei J. Fractured morphology of femoral head associated with subsequent femoral neck fracture: Injury analyses of 2D and 3D models of femoral head fractures with computed tomography. Front Bioeng Biotechnol 2023; 11:1115639. [PMID: 36733965 PMCID: PMC9887173 DOI: 10.3389/fbioe.2023.1115639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/04/2023] [Indexed: 01/18/2023] Open
Abstract
Background: The injury of femoral head varies among femoral head fractures (FHFs). In addition, the injury degree of the femoral head is a significant predictor of femoral neck fracture (FNF) incidence in patients with FHFs. However, the exact measurement methods have yet been clearly defined based on injury models of FHFs. This study aimed to design a new measurement for the injury degree of the femoral head on 2D and 3D models with computed tomography (CT) images and investigate its association with FHFs with FNF. Methods: A consecutive series of 209 patients with FHFs was assessed regarding patient characteristics, CT images, and rate of FNF. New parameters for injury degree of femoral head, including percentage of maximum defect length (PMDL) in the 2D CT model and percentage of fracture area (PFA) in the 3D CT-reconstruction model, were respectively measured. Four 2D parameters included PMDLs in the coronal, cross-sectional and sagittal plane and average PMDL across all three planes. Reliability tests for all parameters were evaluated in 100 randomly selected patients. The PMDL with better reliability and areas under curves (AUCs) was finally defined as the 2D parameter. Factors associated with FNF were determined by binary logistic regression analysis. The sensitivity, specificity, likelihood ratios, and positive and negative predictive values for different cut-off values of the 2D and 3D parameters were employed to test the diagnostic accuracy for FNF prediction. Results: Intra- and inter-class coefficients for all parameters were ≥0.887. AUCs of all parameters ranged from 0.719 to 0.929 (p < 0.05). The average PMDL across all three planes was defined as the 2D parameter. The results of logistic regression analysis showed that average PMDL across all three planes and PFA were the significant predictors of FNF (p < 0.05). The cutoff values of the average PMDL across all three planes and PFA were 91.65% and 29.68%. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, predictive positive value and negative predictive value of 2D (3D) parameters were 91.7% (83.3%), 93.4% (58.4%), 13.8 (2.0), 0.09 (0.29), 45.83% (10.87%), and 99.46% (98.29%). Conclusion: The new measurement on 2D and 3D injury models with CT has been established to assess the fracture risk of femoral neck in patients with FHFs in the clinic practice. 2D and 3D parameters in FHFs were a feasible adjunctive diagnostic tool in identifying FNFs. In addition, this finding might also provide a theoretic basis for the investigation of the convenient digital-model in complex injury analysis.
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Affiliation(s)
- Shenghui Wu
- Department of Orthopedic Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Wang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ruiyang Li
- Department of Orthopedic Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Miao
- Department of Orthopedic Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guangyi Li
- Department of Orthopedic Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiong Mei
- Department of Orthopedic Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Jiong Mei,
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Li W, Su Y, Guo J, Wang M, Liu X. Generation of Organoids and Analysis of Ferroptosis in Organoids. Methods Mol Biol 2023; 2712:117-133. [PMID: 37578701 DOI: 10.1007/978-1-0716-3433-2_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Ferroptosis is a unique form of iron-dependent cell death induced by lipid peroxidation and subsequent plasma membrane rupture, which sets it apart from other types of regulated cell death. Ferroptosis has been linked to a diverse range of biological processes, such as aging, immunity, and cancer. Organoids, on the other hand, are three-dimensional (3D) miniaturized model systems of different organs in vitro cultures, which have gained widespread interest for modeling tissue development and disease, drug screening, and cell therapy. Organoids offer tremendous potential for improving our understanding of human diseases, particularly in the search for the field of ferroptosis in pathological processes of organs. Furthermore, cancer organoids are utilized to investigate molecular mechanisms and drug screening in vitro due to the anti-tumor effect of ferroptosis. Currently, the development of liver organoids has reached a relatively mature stage. Here, we present the protocols for the generation of liver organoids and liver cancer organoids, along with the methods for detecting ferroptosis in organoids.
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Affiliation(s)
- Wenxin Li
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yujie Su
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jingyi Guo
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Innovation Centre for Advanced Interdisciplinary Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mengfei Wang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, China-New Zealand Joint Laboratory on Biomedicine and Health, CUHK-GIBH Joint Research Laboratory on Stem Cells and Regenerative Medicine, Institute for Stem Cell and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong, SAR, China.
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Su Y, Gao Q, Deng R, Zeng L, Guo J, Ye B, Yu J, Guo X. Aptamer engineering exosomes loaded on biomimetic periosteum to promote angiogenesis and bone regeneration by targeting injured nerves via JNK3 MAPK pathway. Mater Today Bio 2022; 16:100434. [PMID: 36186848 PMCID: PMC9519612 DOI: 10.1016/j.mtbio.2022.100434] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/12/2022] [Accepted: 09/14/2022] [Indexed: 12/04/2022] Open
Abstract
Repairing critical bone defects is a complex problem in the clinic. The periosteum rich in nerve plays a vital role in initiating and regulating bone regeneration. However, current studies have paid little attention to repairing nerves in the periosteum to promote bone regeneration. Thus, it is essential to construct bionic periosteum with the targeted injured nerves in the periosteum. We coupled phosphatidylserine (PS) targeted aptamers with repair Schwann cell exosomes to construct exosome@aptamer (EA). Then through PEI, EA was successfully built on the surface of the electrospun fiber, which was PCL@PEI@exosome@aptamer (PPEA). Through SEM, TEM, and other technologies, PPEA was characterized. Experiments prove in vivo and in vitro that it has an excellent repair effect on damaged nerves and regeneration of vascular and bones. In vivo, we confirmed that biomimetic periosteum has an apparent ability to promote nerve and bone regeneration by using Microcomputer tomography, hematoxylin-eosin, Masson, and Immunofluorescence. In vitro, we used Immunofluorescence, Real-Time Quantitative PCR, Alkaline phosphatase staining, and other tests to confirm that it has central nerve, blood vessel, and bone regeneration ability. The PPEA biomimetic periosteum has apparent neurogenic, angiogenic, and osteogenic effects. The PPEA biomimetic periosteum will provide a promising method for treating bone defects. To construct a biomimetic periosteum that can target injured axons and bone regeneration. PS targeted aptamer is coupled with repair Schwann cell exosomes. PEI self-assembly was used for the PCL electrospun biomimetic membrane loading. It targeted and repaired the injured axons and promoted the secretion of CGRP and SP. Biomimetic periosteum promotes vascular regeneration and bone regeneration.
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Affiliation(s)
- Yanlin Su
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Qing Gao
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Rongli Deng
- PCFM Lab, School of Chemistry and School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510000, China
| | - Lian Zeng
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Jingyi Guo
- College of Arts and Science of Hubei Normal University, Huangshi, Hubei 430022, China
| | - Bing Ye
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Jialin Yu
- The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei 430022, China
| | - Xiaodong Guo
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
- Corresponding author.
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Dai H, Huang Y, Guo J, Li L, Ke Y, Cen L, Meng F, Chen X, Liu B, Qian X. Engineering a HemoMap Nanovaccine for Inducing Immune Responses against Melanoma. ACS Appl Mater Interfaces 2022; 14:52634-52642. [PMID: 36383430 DOI: 10.1021/acsami.2c14379] [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: 06/16/2023]
Abstract
Neoantigen vaccines have opened a new paradigm for cancer immunotherapy. Here, we constructed a neoantigen nanovaccine-HemoMap, with the ability to target lymph nodes and activate immune cells. We propose a HemoMap nanovaccine consisting of the mouse melanoma highly expressed antigenic peptide Tyrp1 and a magnesium nanoadjuvant-HemoM. By immunofluorescence labeling of the nanovaccine, the lymph node targeting of the vaccine was observed and verified by a mouse near-infrared imaging system. About two-fold higher effective retention of HemoMap induces the internalization of Tyrp1 in DCs than that of free Tyrp1 in draining lymph nodes (DLNs) for 48 h. A mouse melanoma subcutaneous model was established to evaluate neoantigen-specific antitumor immune responses. In comparison to the control group, the tumor growth rate was dramatically slowed down by HemoMap treatment, and the median survival time was extended by 7 days. We discovered that effective co-delivery of Tyrp1 antigen and magnesium (Mg2+) to lymph nodes (LNs) boosted cellular internalization and activated immune cells, such as CD11c+ DCs and CD8+ T lymphocytes. Spleen lymphocytes from the HemoMap group displayed much more antitumor activity than those from the other groups. Our findings highlight that HemoMap is promising to trigger T cell responses and to provide novel nanoadjuvants strategies for cancer immunotherapy.
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Affiliation(s)
- Hengheng Dai
- The Comprehensive Cancer Centre, China Pharmaceutical University Nanjing Drum Tower Hospital, 321 Zhongshan Road, Nanjing 210008, China
| | - Ying Huang
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, 321 Zhongshan Road, Nanjing 210008, China
| | - Jingyi Guo
- The Comprehensive Cancer Centre, China Pharmaceutical University Nanjing Drum Tower Hospital, 321 Zhongshan Road, Nanjing 210008, China
| | - Lin Li
- Department of Pathology, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing 210008, China
| | - Yaohua Ke
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing 210008, China
| | - Lanqi Cen
- The Comprehensive Cancer Centre, China Pharmaceutical University Nanjing Drum Tower Hospital, 321 Zhongshan Road, Nanjing 210008, China
| | - Fanyan Meng
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing 210008, China
| | - Xinjie Chen
- The Comprehensive Cancer Centre, China Pharmaceutical University Nanjing Drum Tower Hospital, 321 Zhongshan Road, Nanjing 210008, China
| | - Baorui Liu
- The Comprehensive Cancer Centre, China Pharmaceutical University Nanjing Drum Tower Hospital, 321 Zhongshan Road, Nanjing 210008, China
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing 210008, China
| | - Xiaoping Qian
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing 210008, China
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Pan Z, Guo J, Tang K, Chen Y, Gong X, Chen Y, Zhong Y, Xiao X, Duan S, Cui T, Wu X, Zhong Y, Yang X, Shen C, Gao Y. Ginsenoside Rc Modulates SIRT6-NRF2 Interaction to Alleviate Alcoholic Liver Disease. J Agric Food Chem 2022; 70:14220-14234. [PMID: 36300841 DOI: 10.1021/acs.jafc.2c06146] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Alcoholic liver disease (ALD) is a serious worldwide health problem. Ginsenoside Rc is a major active ingredient isolated from Panax ginseng, whose pharmacological effects counteract oxidative stress, inflammation, and lipid accumulation. However, it is still unclear whether ginsenoside Rc might exert beneficial effects on alcohol-induced liver injury. To this aim, mice primary hepatocytes (MPHs) were challenged with alcohol to test ginsenoside Rc's effects on their intracellular alcohol metabolism. C57BL/6J mice or SIRT6alb-/- mice were chronically fed a diet with added alcohol or given a single gavage of alcohol with or without ginsenoside Rc. Analyses of alcohol metabolism, oxidative stress, inflammation, lipid metabolism, and RNaseq expression were conducted to explore potential targets exploited by ginsenoside Rc to protect against ALD. Our results showed that ginsenoside Rc attenuated alcohol-induced liver injury by regulating oxidative stress, inflammation, and lipid accumulation both in vivo and in vitro. Ginsenoside Rc did increase the deacetylase activity of SIRT6, thereby lowering acetylated NRF2 levels, which elevated NRF2's stability, and subsequently exerting an antioxidant effect. In keeping with this, the hepatic knockout of SIRT6 almost abolished the hepatoprotective effects of ginsenoside Rc against ALD. Therefore, our results suggest that ginsenoside Rc attenuated hepatocytes' damage and oxidative stress in ALD by up-regulating the SIRT6/NRF2 pathway. Hence, ginsenoside Rc may be a promising drug to treat or relieve ALD.
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Affiliation(s)
- Zhisen Pan
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
- Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Jingyi Guo
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Kaijia Tang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Yanling Chen
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Xun Gong
- Guangdong Country Garden School, Guangzhou, Guangdong 510000, China
| | - Yingjian Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Yadi Zhong
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Xiaoxia Xiao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Siwei Duan
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Tianqi Cui
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Xiumei Wu
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Yanhua Zhong
- Department of Acupuncture-Rehabilitation, Guangzhou-Liwan Hospital of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Xiaoying Yang
- Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221000, China
| | - Chuangpeng Shen
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
| | - Yong Gao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510000, China
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Tang K, Kong D, Peng Y, Guo J, Zhong Y, Yu H, Mai Z, Chen Y, Chen Y, Cui T, Duan S, Li T, Liu N, Zhang D, Ding Y, Huang J. Ginsenoside Rc attenuates DSS-induced ulcerative colitis, intestinal inflammatory, and barrier function by activating the farnesoid X receptor. Front Pharmacol 2022; 13:1000444. [PMID: 36386150 PMCID: PMC9649634 DOI: 10.3389/fphar.2022.1000444] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/26/2022] [Indexed: 08/03/2023] Open
Abstract
Objectives: Farnesoid X receptor (FXR) activation is involved in ameliorating inflammatory bowel disease (IBD), such as ulcerative colitis (UC), and inflammatory regulation may be involved in its mechanism. Ginsenoside Rc (Rc) is a major component of Panax ginseng, and it plays an excellent role in the anti-inflammatory processes. Our aim is to explore the alleviative effect of Rc on dextran sulfate sodium (DSS)-induced inflammation and deficiencies in barrier function based on FXR signaling. Materials and Methods: In vitro, we treated human intestinal epithelial cell lines (LS174T) with LPS to explore the anti-inflammatory effect of Rc supplementation. In vivo, a DSS-induced IBD mice model was established, and the changes in inflammatory and barrier function in colons after Rc treatment were measured using the disease activity index (DAI), hematoxylin and eosin (H&E) staining, immunofluorescence, ELISA, and qPCR. Molecular docking analysis, luciferase reporter gene assay, and qPCR were then used to analyze the binding targets of Rc. DSS-induced FXR-knockout (FXR-/-) mice were used for further validation. Results: Rc significantly recovered the abnormal levels of inflammation indexes (TNF-α, IL-6, IL-1β, and NF-KB) induced by LPS in LS174T. DSS-induced C57BL/6 mice exhibited a significantly decreased body weight and elevated DAI, as well as a decrease in colon weight and length. Increased inflammatory markers (TNF-α, IL-6, IL-1β, ICAM1, NF-KB, F4/80, and CD11b displayed an increased expression) and damaged barrier function (Claudin-1, occludin, and ZO-1 displayed a decreased expression) were observed in DSS-induced C57BL/6 mice. Nevertheless, supplementation with Rc mitigated the increased inflammatory and damaged barrier function associated with DSS. Further evaluation revealed an activation of FXR signaling in Rc-treated LS174T, with FXR, BSEP, and SHP found to be upregulated. Furthermore, molecular docking indicated that there is a clear interaction between Rc and FXR, while Rc activated transcriptional expression of FXR in luciferase reporter gene assay. However, these reversal abilities of Rc were not observed in DSS-induced FXR-/- mice. Conclusion: Our findings suggest that Rc may ameliorate inflammation and barrier function in the intestine, which in turn leads to the attenuation of DSS-induced UC, in which Rc may potentially activate FXR signaling to protect the intestines from DSS-induced injury.
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Affiliation(s)
- Kaijia Tang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Danli Kong
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, China
| | - Yuan Peng
- Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jingyi Guo
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yadi Zhong
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Haibing Yu
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, China
| | - Zhenhua Mai
- Department of Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Yanling Chen
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yingjian Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tianqi Cui
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Siwei Duan
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tianyao Li
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Naihua Liu
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Dong Zhang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Yuanlin Ding
- Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, China
| | - Jiawen Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
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50
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Qin Y, Zhao Z, Teng Z, Xu B, Wang X, Guo J, Huang J, Wu H. COVID-19 vaccination coverage among patients with psychiatric disorders in China during the pandemic: a cross-sectional study. BMC Psychiatry 2022; 22:659. [PMID: 36289487 PMCID: PMC9597954 DOI: 10.1186/s12888-022-04271-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 09/22/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To investigate the Coronavirus Disease 2019 (COVID-19) vaccination coverage and the influential factors of vaccination among patients with mental disorders, we conducted a cross-sectional study in China. METHOD The anonymous questionnaires including demographic data, vaccination status, intention to be vaccinated and its reasons were collected in the Second Xiangya Hospital, one of the biggest four psychiatric centers in China. Mental health of these participants were measured by the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder-7 items (GAD-7). The influential factors associated with vaccination status were analyzed by Fisher exact tests and binary logistical analysis. RESULT 1328 patients and 922 family members completed the survey. The vaccination rate of patients included was 69.4%, whereas 85.5% patients were willing to be vaccinated. Being hospitalized (aOR 0.41, 95% CI:0.27-0.60), suffering from schizophrenia (aOR 0.38, 95% CI: 0.19-0.75) and secondary school educational background (aOR 0.58, 95% CI: 0.37-0.93) were significantly associated with less likelihood to get vaccinated. Uptaking vaccines could reduce depressive (aOR 0.63, 95% CI: 0.41-0.98) or anxious symptoms (aOR 0.40, 95% CI: 0.25-0.63) in these patients for a short period. CONCLUSION Further COVID-19 immunization programme should prioritize hospitalized psychiatric patients and schizophrenic patients since their demands for vaccination had been partly ignored during the current inoculation.
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Affiliation(s)
- Yue Qin
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China
| | - Ziru Zhao
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China
| | - Ziwei Teng
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China
| | - Baoyan Xu
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China
| | - Xianghe Wang
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China
| | - Jingyi Guo
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China
| | - Jing Huang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China.
| | - Haishan Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China.
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