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Cheng X, Meng X, Chen R, Song Z, Li S, Wei S, Lv H, Zhang S, Tang H, Jiang Y, Zhang R. The molecular subtypes of autoimmune diseases. Comput Struct Biotechnol J 2024; 23:1348-1363. [PMID: 38596313 PMCID: PMC11001648 DOI: 10.1016/j.csbj.2024.03.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/11/2024] Open
Abstract
Autoimmune diseases (ADs) are characterized by their complexity and a wide range of clinical differences. Despite patients presenting with similar symptoms and disease patterns, their reactions to treatments may vary. The current approach of personalized medicine, which relies on molecular data, is seen as an effective method to address the variability in these diseases. This review examined the pathologic classification of ADs, such as multiple sclerosis and lupus nephritis, over time. Acknowledging the limitations inherent in pathologic classification, the focus shifted to molecular classification to achieve a deeper insight into disease heterogeneity. The study outlined the established methods and findings from the molecular classification of ADs, categorizing systemic lupus erythematosus (SLE) into four subtypes, inflammatory bowel disease (IBD) into two, rheumatoid arthritis (RA) into three, and multiple sclerosis (MS) into a single subtype. It was observed that the high inflammation subtype of IBD, the RA inflammation subtype, and the MS "inflammation & EGF" subtype share similarities. These subtypes all display a consistent pattern of inflammation that is primarily driven by the activation of the JAK-STAT pathway, with the effective drugs being those that target this signaling pathway. Additionally, by identifying markers that are uniquely associated with the various subtypes within the same disease, the study was able to describe the differences between subtypes in detail. The findings are expected to contribute to the development of personalized treatment plans for patients and establish a strong basis for tailored approaches to treating autoimmune diseases.
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Affiliation(s)
| | | | | | - Zerun Song
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shuai Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Siyu Wei
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Hongchao Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shuhao Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Hao Tang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yongshuai Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Ruijie Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
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Pan G, Chai L, Chen R, Yuan Q, Song Z, Feng W, Wei J, Yang Z, Zhang Y, Xie G, Yan A, Lv Q, Wang C, Zhao Y, Wang Y. Potential mechanism of Qinggong Shoutao pill alleviating age-associated memory decline based on integration strategy. Pharm Biol 2024; 62:105-119. [PMID: 38145345 PMCID: PMC10763866 DOI: 10.1080/13880209.2023.2291689] [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: 12/30/2022] [Accepted: 11/30/2023] [Indexed: 12/26/2023]
Abstract
CONTEXT Qinggong Shoutao Wan (QGSTW) is a pill used as a traditional medicine to treat age-associated memory decline (AAMI). However, its potential mechanisms are unclear. OBJECTIVE This study elucidates the possible mechanisms of QGSTW in treating AAMI. MATERIALS AND METHODS Network pharmacology and molecular docking approaches were utilized to identify the potential pathway by which QGSTW alleviates AAMI. C57BL/6J mice were divided randomly into control, model, and QGSTW groups. A mouse model of AAMI was established by d-galactose, and the pathways that QGSTW acts on to ameliorate AAMI were determined by ELISA, immunofluorescence staining and Western blotting after treatment with d-gal (100 mg/kg) and QGSTW (20 mL/kg) for 12 weeks. RESULTS Network pharmacology demonstrated that the targets of the active components were significantly enriched in the cAMP signaling pathway. AKT1, FOS, GRIN2B, and GRIN1 were the core target proteins. QGSTW treatment increased the discrimination index from -16.92 ± 7.06 to 23.88 ± 15.94% in the novel location test and from -19.54 ± 5.71 to 17.55 ± 6.73% in the novel object recognition test. ELISA showed that QGSTW could increase the levels of cAMP. Western blot analysis revealed that QGSTW could upregulate the expression of PKA, CREB, c-Fos, GluN1, GluA1, CaMKII-α, and SYN. Immunostaining revealed that the expression of SYN was decreased in the CA1 and DG. DISCUSSION AND CONCLUSIONS This study not only provides new insights into the mechanism of QGSTW in the treatment of AAMI but also provides important information and new research ideas for the discovery of traditional Chinese medicine compounds that can treat AAMI.
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Affiliation(s)
- Guiyun Pan
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Second Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lijuan Chai
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Rui Chen
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qing Yuan
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhihui Song
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Wanying Feng
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jinna Wei
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhihua Yang
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yuhang Zhang
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Guinan Xie
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - An Yan
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qingbo Lv
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Caijun Wang
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yingqiang Zhao
- Second Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yi Wang
- Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Hao H, Xu Y, Chen R, Qi S, Liu X, Lin B, Chen X, Zhang X, Yue L, Chen C. Protective effects of chlorogenic acid against cyclophosphamide induced liver injury in mice. Biotech Histochem 2024; 99:33-43. [PMID: 38018995 DOI: 10.1080/10520295.2023.2287452] [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: 11/30/2023] Open
Abstract
We investigated possible protective effects of chlorogenic acid (CGA) against cyclophosphamide (CP) induced hepatic injury in mice. We measured aminotransferase alanine transaminase (ALT) and aspartate transaminase (AST) levels in the serum. We assayed catalase (CAT), superoxide dismutase (SOD), reduced glutathione (GSH), glutathione peroxidase (GSH-Px) and malondialdehyde (MDA) in hepatic tissue. We assessed expression of nuclear transcription factor 2 (Nrf2) and Kelch sample related protein-1 (keap1) proteins in hepatic tissues using immunohistochemistry. The relative mRNA expression levels of heme oxygenase-1 (HO-1), NADH quinone oxidoreductase 1 (NQO1), tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) were determined using quantitative real-time polymerase chain reaction (qRT-PCR). Hematoxylin & eosin staining was used to assess liver histopathology. We found that administration of CGA prior to induction of injury by CP decreased serum ALT, AST and MDA expressions in hepatic tissue, while CAT, SOD, GSH and GSH-Px concentrations were increased. We found that hepatocytes of animals administered CGA gradually returned to normal morphology. CGA increased the protein expression of Nrf2 in murine hepatic tissue. Administration of CGA up-regulated mRNA expression levels of HO-1, NQO1, TNF-α and IL-6 in hepatic tissue. CGA exhibited a marked protective effect on CP induced liver injury in mice.
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Affiliation(s)
- Hao Hao
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Youmei Xu
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Rui Chen
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Shanshan Qi
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Xiang Liu
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Beibei Lin
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Xiaohua Chen
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Xiaoying Zhang
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
| | - Lijuan Yue
- Department of Oncology, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - Chen Chen
- Shaanxi Province Key Laboratory of Bio-Resources/QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C./Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, Hanzhong, Shaanxi, China
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Han X, Yang Y, Chen R, Zhou J, Yang X, Wang X, Ji H. One-dimensional Ga 2O 3-Al 2O 3 nanofibers with unsaturated coordination Ga: Catalytic dehydrogenation of propane under CO 2 atmosphere with excellent stability. J Colloid Interface Sci 2024; 666:76-87. [PMID: 38583212 DOI: 10.1016/j.jcis.2024.03.171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/20/2024] [Accepted: 03/26/2024] [Indexed: 04/09/2024]
Abstract
The pressing demand for propylene has spurred intensive research on the catalytic dehydrogenation of propane to produce propylene. Gallium-based catalysts are regarded as highly promising due to their exceptional dehydrogenation activity in the presence of CO2. However, the inherent coking issue associated with high temperature reactions poses a constraint on the stability development of this process. In this study, we employed the electrospinning method to prepare a range of Ga2O3-Al2O3 mixed oxide one-dimensional nanofiber catalysts with varying molar ratios for CO2 oxidative dehydrogenation of propane (CO2-OPDH). The propane conversion was up to 48.4 % and the propylene selectivity was high as 96.8 % at 500 °C, the ratio of propane to carbon dioxide is 1:2. After 100 h of reaction, the catalyst still maintains approximately 10 % conversion and exhibits a propylene selectivity of around 98 %. The electrospinning method produces one-dimensional nanostructures with a larger specific surface area, unique multi-stage pore structure and low-coordinated Ga3+, which enhances mass transfer and accelerates reaction intermediates. This results in less coking and improved catalyst stability. The high activity of the catalyst is attributed to an abundance of low-coordinated Ga3+ ions associated with weak/medium-strong Lewis acid centers. In situ infrared analysis reveals that the reaction mechanism involves a two-step dehydrogenation via propane isocleavage, with the second dehydrogenation of Ga-OR at the metal-oxygen bond being the decisive speed step.
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Affiliation(s)
- Xue Han
- School of Chemistry and Chemical Engineering, Guangxi University, Nanning, China, 530004
| | - Yun Yang
- School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China, 510275
| | - Rui Chen
- School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China, 510275
| | - Jiaqi Zhou
- School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China, 510275
| | - Xupeng Yang
- School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China, 510275
| | - Xuyu Wang
- School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China, 510275.
| | - Hongbing Ji
- School of Chemistry and Chemical Engineering, Guangxi University, Nanning, China, 530004; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China, 510275; State Key Laboratory Breeding Base of Green-Chemical Synthesis Technology, Institute of Green Petroleum Processing and Light Hydrocarbon Conversion, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, China, 310014.
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Chen R, Sun Y, Wu Y, Qiao Y, Zhang Q, Li Q, Wang X, Pan Y, Li S, Liu Y, Wang Z. Common proteins analysis of different mammals' mature milk by 4D-Label-Free. Food Chem X 2024; 22:101263. [PMID: 38465331 PMCID: PMC10924129 DOI: 10.1016/j.fochx.2024.101263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/19/2024] [Accepted: 02/28/2024] [Indexed: 03/12/2024] Open
Abstract
The milk proteins from samples of 13 different animals were identified utilizing 4D-Label-Free proteomics technology, leading to the identification of a substantial number of proteins. Among the various samples, Chinese people (CHP) milk proteins exhibited the highest count, with 1149 distinct proteins. Simultaneously, we identified common proteins present in these animal milk. It's notable presence in goat milk contributes to enhancing infant infection resistance, showcasing the beneficial role of lactoperoxidase. Galectin-3 binding protein (Gal-3BP) and tetraspanin in human milk are significantly higher than those in other animals, which determine the prominent antiviral effect of human milk and the important processes related to cell transduction. Furthermore, human milk, camel milk, goat milk and sheep milk proved to be rich sources of milk fat globule membrane (MFGM) proteins. The insights obtained from this study can serve as a foundational framework for exploring the role of different animal milk proteins in disease treatment and the composition of infant formula.
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Affiliation(s)
| | | | | | - Yanjun Qiao
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Qiu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Qian Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Xiaowei Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Yuan Pan
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Siyi Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Yining Liu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
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Pu LM, Li XX, Chen R, Xu WB, Long HT, Dong WK. An unusual highly sensitive dual-channel bis(salamo)-like chemical probe for recognizing B 4O 72-, sensing mechanism, theoretical calculations and practical applications. Spectrochim Acta A Mol Biomol Spectrosc 2024; 314:124187. [PMID: 38547781 DOI: 10.1016/j.saa.2024.124187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/11/2024] [Accepted: 03/23/2024] [Indexed: 04/20/2024]
Abstract
A bis(salamo)-like chemical sensor H3L ((1E,3E)-2-hydroxy-5-methylisophthalaldehyde O,O -di(3-((((E)-(2-hydroxynaphthalen-1-yl)methylene)amino)oxy)propyl) dioxime) was constructed. H3L is capable of recognizing B4O72- in H2O/DMF (1:9, v/v) solution by both fluorescent and colorimetric channels, bright green fluorescence was turned on when B4O72- was added to H3L and changed from colorless to yellow in natural light. The detection limit was 3.21 × 10-8 M. The identification has good anti-interfering ability, quickly responsive time (5 S) and broad pH detecting range (pH = 5-12). The mechanism of action was determined by 1H NMR titration, infrared spectrometry, HRMS spectra and further elucidated by theory calculations. The fluorescence imaging of bean sprouts and spiked recovery assays of actual water samples demonstrated the practical use of sensor H3L for the detection of B4O72-, which is expected to have applications for the detection of B4O72- in plants and the environment.
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Affiliation(s)
- Lu-Mei Pu
- College of Science, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
| | - Xiao-Xia Li
- School of Chemistry and Chemical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
| | - Rui Chen
- School of Chemistry and Chemical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
| | - Wei-Bing Xu
- College of Science, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Hai-Tao Long
- College of Science, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Wen-Kui Dong
- School of Chemistry and Chemical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China.
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Zhang X, Wang J, Liu Y, Wang H, Li B, Li Q, Wang Y, Zong Y, Wang J, Meng Q, Wu S, Hao R, Li X, Chen R, Chen H. In situ profiling reveals spatially metabolic injury in the initiation of polystyrene nanoplastic-derived intestinal epithelial injury in mice. Sci Total Environ 2024; 927:172037. [PMID: 38575003 DOI: 10.1016/j.scitotenv.2024.172037] [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: 02/01/2024] [Revised: 03/22/2024] [Accepted: 03/26/2024] [Indexed: 04/06/2024]
Abstract
Despite increasing concerns regarding the harmful effects of plastic-induced gut injury, mechanisms underlying the initiation of plastic-derived intestinal toxicity remain unelucidated. Here, mice were subjected to long-term exposure to polystyrene nanoplastics (PS-NPs) of varying sizes (80, 200, and 1000 nm) at doses relevant to human dietary exposure. PS-NPs exposure did not induce a significant inflammatory response, histopathological damage, or intestinal epithelial dysfunction in mice at a dosage of 0.5 mg/kg/day for 28 days. However, PS-NPs were detected in the mouse intestine, coupled with observed microstructural changes in enterocytes, including mild villous lodging, mitochondrial membrane rupture, and endoplasmic reticulum (ER) dysfunction, suggesting that intestinal-accumulating PS-NPs resulted in the onset of intestinal epithelial injury in mice. Mechanistically, intragastric PS-NPs induced gut microbiota dysbiosis and specific bacteria alterations, accompanied by abnormal metabolic fingerprinting in the plasma. Furthermore, integrated data from mass spectrometry imaging-based spatial metabolomics and metallomics revealed that PS-NPs exposure led to gut dysbiosis-associated host metabolic reprogramming and initiated intestinal injury. These findings provide novel insights into the critical gut microbial-host metabolic remodeling events vital to nanoplastic-derived-initiated intestinal injury.
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Affiliation(s)
- Xianan Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China; Yanjing Medical College, Capital Medical University, Beijing 101300, China
| | - Jing Wang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yuansheng Liu
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Hemin Wang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Bin Li
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Qing Li
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yi Wang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yuru Zong
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Jiajia Wang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Qingtao Meng
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Laboratory of Allergic Diseases, Beijing Municipal Education Commission, Beijing 100069, China
| | - Shenshen Wu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Laboratory of Allergic Diseases, Beijing Municipal Education Commission, Beijing 100069, China
| | - Rongzhang Hao
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaobo Li
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Laboratory of Allergic Diseases, Beijing Municipal Education Commission, Beijing 100069, China.
| | - Rui Chen
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Laboratory of Allergic Diseases, Beijing Municipal Education Commission, Beijing 100069, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China; Department of Occupational and Environmental Health, Fourth Military Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an 710032, China.
| | - Hanqing Chen
- School of Public Health, Capital Medical University, Beijing 100069, China; Department of Nutrition & Food Hygiene, Capital Medical University, Beijing 100069, China.
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Zhang Z, Li Z, Wei K, Cao Z, Zhu Z, Chen R. Sweat as a source of non-invasive biomarkers for clinical diagnosis: An overview. Talanta 2024; 273:125865. [PMID: 38452593 DOI: 10.1016/j.talanta.2024.125865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 03/09/2024]
Abstract
Sweat has excellent potential as one of the sources of non-invasive biomarkers for clinical diagnosis. It is relatively easy to collect and process and may contain different disease-specific markers and drug metabolites, making it ideal for various clinical applications. This article discusses the anatomy of sweat glands and their role in sweat production, as well as the history and development of multiple sweat sample collection and analysis techniques. Another primary focus of this article is the application of sweat detection in clinical disease diagnosis and other life scenarios. Finally, the limitations and prospects of sweat analysis are discussed.
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Affiliation(s)
- Zhiliang Zhang
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Department of Plastic and Aesthetic Surgery, Ningbo Hangzhou Bay Hospital, Zhejiang, China
| | - Zhanhong Li
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Kunchen Wei
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Zehui Cao
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhigang Zhu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
| | - Rui Chen
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Zhou M, Niu H, Chen R, Chen W, Cui D. Gui ShenWan prevent premature ovarian insufficiency by modulating autophagy and angiogenesis via facilitating VDR. J Ethnopharmacol 2024; 326:117955. [PMID: 38395181 DOI: 10.1016/j.jep.2024.117955] [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: 01/04/2024] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 02/25/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Gui Shen Wan (GSW) stands out as a promising therapeutic approach for addressing Premature Ovarian Insufficiency (POI). With deep roots in traditional medicine, GSW highlights the ethnopharmacological significance of herbal interventions in addressing nuanced aspects of women's health, with a specific emphasis on ovarian functionality. Recognizing the importance of GSW in gynecological contexts resonates with a rich tradition of using botanical formulations to navigate the intricacies of reproductive health. Delving into GSW's potential for treating POI emphasizes the crucial role of ethnopharmacological insights in guiding modern research endeavors. AIM OF THE STUDY GSW is extensively utilized in gynecological disorders and has recently emerged as a potential therapeutic approach for POI. The present investigation aimed to assess the efficacy of GSW in treating POI in rats and elucidate its underlying molecular mechanisms. MATERIALS AND METHODS The study employed GSW for POI treatment in rats. GSW, prepared as pills, underwent HPLC fingerprinting for quality control. Reagents and drugs, including VCD and dehydroepiandrosterone (DHEA), were sourced from reputable providers. Eighty Sprague-Dawley rats were categorized into groups for POI induction and treatment. Ovarian tissue underwent HE staining, immunohistochemical staining, Western Blot, qRT-PCR, and vaginal secretion testing. ELISA was utilized for target molecule detection. This methodology ensures a robust and reliable experimental framework. RESULTS The results highlight a robust collaborative improvement in POI among rats subjected to combined GSW and DHEA treatment. Particularly noteworthy is the substantial enhancement in the expression of vascular regeneration-related molecules-VDR-Klotho-VEGFR-accompanied by a significant elevation in autophagy levels. Post-GSW administration, rat ovarian morphology demonstrated increased stability, hormone levels exhibited more consistent maintenance, and there was a marked reduction in inflammatory response compared to other groups (p < 0.01). Furthermore, GSW intervention resulted in a more pronounced upregulation of ovarian autophagy (p < 0.05). CONCLUSION By modulating VDR-Klotho signaling, GSW exerts regulatory control over ovarian autophagy and vascular regeneration, thereby mitigating the occurrence and progression of POI in rats.
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Affiliation(s)
- Minfeng Zhou
- Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, 1277 Liberation Avenue, 430022, Wuhan City, China
| | - Huifang Niu
- School of Food Science and Technology, Huazhong Agricultural University, 1 Lion Rock Street. Wuhan City, 430070, China
| | - Rui Chen
- Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, 1277 Liberation Avenue, 430022, Wuhan City, China.
| | - Wenmao Chen
- Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, 1277 Liberation Avenue, 430022, Wuhan City, China.
| | - Dandan Cui
- Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, 1277 Liberation Avenue, 430022, Wuhan City, China.
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Li Y, Janssen TAJ, Chen R, He B, Veraverbeke S. Trends and drivers of Arctic-boreal fire intensity between 2003 and 2022. Sci Total Environ 2024; 926:172020. [PMID: 38547987 DOI: 10.1016/j.scitotenv.2024.172020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/27/2024] [Accepted: 03/25/2024] [Indexed: 04/01/2024]
Abstract
Climate change has disproportional effects on Arctic-boreal ecosystems, as the increase of air temperatures in these northern regions is several times higher than the global average. Ongoing warming and drying have resulted in recent record-breaking fire years in Arctic-boreal ecosystems, resulting in substantial carbon emissions that might accelerate climate change. While recent trends in Arctic-boreal burned area have been well documented, it is still unclear how fire intensity has changed. Fire intensity relates to the energy release from combustion and to a large extent drives the impact of a fire on the vegetation and soils, the emission of various gasses and the combustion completeness of different fuels. Here, we used the active fire product from the Moderate Resolution Imaging Spectroradiometer (MODIS) to examine trends in fire radiative power (FRP) over the entire Arctic-boreal region. We found a significant increase in annual median fire intensity between 2003 and 2022 in Eurasian boreal forests, for both daytime (increase of 0.392 MW/km2 per year, R2 = 0.56, p < 0.001) and nighttime fires (increase of 0.175 MW/km2 per year, R2 = 0.47, p < 0.001), while no general trend in FRP was observed in boreal North America. This increase in FRP in Eurasian boreal forests was strongly associated with simultaneous increases in air temperature, vapour pressure deficit, fire weather and fuel availability. We estimated that for Eurasia with each degree increase in air temperature, annual median daytime FRP increases with 1.58 MW/km2 in the tundra and 0.94 MW/km2 in the taiga. Climate change has thus resulted in a widespread and clear increase in fire intensity in central and eastern Eurasia while we could not discern clear trends in Arctic-boreal North America. Arctic-boreal fire intensity may further increase with climate change, with potentially major consequences for fire regimes, carbon emissions and society.
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Affiliation(s)
- Yanxi Li
- School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Thomas A J Janssen
- Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Rui Chen
- School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Binbin He
- School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
| | - Sander Veraverbeke
- Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom
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Liu Y, Wang H, Zhang H, Tao Y, Chen R, Hang S, Ding X, Cheng M, Ding G, Wei Y, Xu T, Li J. Synergistic effects of chemical additives and mature compost on reducing H 2S emission during kitchen waste composting. J Environ Sci (China) 2024; 139:84-92. [PMID: 38105080 DOI: 10.1016/j.jes.2023.05.030] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/11/2023] [Accepted: 05/22/2023] [Indexed: 12/19/2023]
Abstract
Additives could improve composting performance and reduce gaseous emission, but few studies have explored the synergistic of additives on H2S emission and compost maturity. This research aims to make an investigation about the effects of chemical additives and mature compost on H2S emission and compost maturity of kitchen waste composting. The results showed that additives increased the germination index value and H2S emission reduction over 15 days and the treatment with both chemical additives and mature compost achieved highest germination index value and H2S emission reduction (85%). Except for the treatment with only chemical additives, the total sulfur content increased during the kitchen waste composting. The proportion of effective sulfur was higher with the addition of chemical additives, compared with other groups. The relative abundance of H2S-formation bacterial (Desulfovibrio) was reduced and the relative abundance of bacterial (Pseudomonas and Paracoccus), which could convert sulfur-containing substances and H2S to sulfate was improved with additives. In the composting process with both chemical additives and mature compost, the relative abundance of Desulfovibrio was lowest, while the relative abundance of Pseudomonas and Paracoccus was highest. Taken together, the chemical additives and mature compost achieved H2S emission reduction by regulating the dynamics of microbial community.
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Affiliation(s)
- Yongdi Liu
- College of Resources and Environmental Science, Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China; Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China
| | - Haihou Wang
- Suzhou Academy of Agricultural Sciences, Institute of Agricultural Sciences in Taihu Lake District, Suzhou 215155, China
| | - Hao Zhang
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Yueyue Tao
- Suzhou Academy of Agricultural Sciences, Institute of Agricultural Sciences in Taihu Lake District, Suzhou 215155, China
| | - Rui Chen
- College of Resources and Environmental Science, Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China; Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China
| | - Sheng Hang
- College of Resources and Environmental Science, Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China; Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China
| | - Xiaoyan Ding
- Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China
| | - Meidi Cheng
- College of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China
| | - Guochun Ding
- College of Resources and Environmental Science, Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China; Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China
| | - Yuquan Wei
- College of Resources and Environmental Science, Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China; Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China.
| | - Ting Xu
- College of Resources and Environmental Science, Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China; Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China.
| | - Ji Li
- College of Resources and Environmental Science, Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China; Organic Recycling Institute (Suzhou) of China Agricultural University, Wuzhong District, Suzhou 215128, China
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Wu S, Wang Y, Hong G, Luo Y, Lin Z, Shen R, Zeng H, Xu A, Wu P, Xiao M, Li X, Rao P, Yang Q, Feng Z, He Q, Jiang F, Xie Y, Liao C, Huang X, Chen R, Lin T. An artificial intelligence model for detecting pathological lymph node metastasis in prostate cancer using whole slide images: a retrospective, multicentre, diagnostic study. EClinicalMedicine 2024; 71:102580. [PMID: 38618206 PMCID: PMC11015342 DOI: 10.1016/j.eclinm.2024.102580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/17/2024] [Accepted: 03/18/2024] [Indexed: 04/16/2024] Open
Abstract
Background The pathological examination of lymph node metastasis (LNM) is crucial for treating prostate cancer (PCa). However, the limitations with naked-eye detection and pathologist workload contribute to a high missed-diagnosis rate for nodal micrometastasis. We aimed to develop an artificial intelligence (AI)-based, time-efficient, and high-precision PCa LNM detector (ProCaLNMD) and evaluate its clinical application value. Methods In this multicentre, retrospective, diagnostic study, consecutive patients with PCa who underwent radical prostatectomy and pelvic lymph node dissection at five centres between Sep 2, 2013 and Apr 28, 2023 were included, and histopathological slides of resected lymph nodes were collected and digitised as whole-slide images for model development and validation. ProCaLNMD was trained at a dataset from a single centre (the Sun Yat-sen Memorial Hospital of Sun Yat-sen University [SYSMH]), and externally validated in the other four centres. A bladder cancer dataset from SYSMH was used to further validate ProCaLNMD, and an additional validation (human-AI comparison and collaboration study) containing consecutive patients with PCa from SYSMH was implemented to evaluate the application value of integrating ProCaLNMD into the clinical workflow. The primary endpoint was the area under the receiver operating characteristic curve (AUROC) of ProCaLNMD. In addition, the performance measures for pathologists with ProCaLNMD assistance was also assessed. Findings In total, 8225 slides from 1297 patients with PCa were collected and digitised. Overall, 8158 slides (18,761 lymph nodes) from 1297 patients with PCa (median age 68 years [interquartile range 64-73]; 331 [26%] with LNM) were used to train and validate ProCaLNMD. The AUROC of ProCaLNMD ranged from 0.975 (95% confidence interval 0.953-0.998) to 0.992 (0.982-1.000) in the training and validation datasets, with sensitivities > 0.955 and specificities > 0.921. ProCaLNMD also demonstrated an AUROC of 0.979 in the cross-cancer dataset. ProCaLNMD use triggered true reclassification in 43 (4.3%) slides in which micrometastatic tumour regions were initially missed by pathologists, thereby correcting 28 (8.5%) missed-diagnosed cases of previous routine pathological reports. In the human-AI comparison and collaboration study, the sensitivity of ProCaLNMD (0.983 [0.908-1.000]) surpassed that of two junior pathologists (0.862 [0.746-0.939], P = 0.023; 0.879 [0.767-0.950], P = 0.041) by 10-12% and showed no difference to that of two senior pathologists (both 0.983 [0.908-1.000], both P > 0.99). Furthermore, ProCaLNMD significantly boosted the diagnostic sensitivity of two junior pathologists (both P = 0.041) to the level of senior pathologists (both P > 0.99), and substantially reduced the four pathologists' slide reviewing time (-31%, P < 0.0001; -34%, P < 0.0001; -29%, P < 0.0001; and -27%, P = 0.00031). Interpretation ProCaLNMD demonstrated high diagnostic capabilities for identifying LNM in prostate cancer, reducing the likelihood of missed diagnoses by pathologists and decreasing the slide reviewing time, highlighting its potential for clinical application. Funding National Natural Science Foundation of China, the Science and Technology Planning Project of Guangdong Province, the National Key Research and Development Programme of China, the Guangdong Provincial Clinical Research Centre for Urological Diseases, and the Science and Technology Projects in Guangzhou.
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Affiliation(s)
- Shaoxu Wu
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Centre for Urological Diseases, Guangzhou, China
| | - Yun Wang
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Guibin Hong
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yun Luo
- Department of Urology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhen Lin
- CellsVision Medical Technology Services Co., Ltd., Guangzhou, China
| | - Runnan Shen
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hong Zeng
- Department of Pathology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Abai Xu
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Peng Wu
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mingzhao Xiao
- Department of Urology, First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Xiaoyang Li
- Department of Urology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Peng Rao
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Qishen Yang
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhengyuan Feng
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Quanhao He
- Department of Urology, First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Fan Jiang
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ye Xie
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Chengxiao Liao
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaowei Huang
- CellsVision Medical Technology Services Co., Ltd., Guangzhou, China
| | - Rui Chen
- CellsVision Medical Technology Services Co., Ltd., Guangzhou, China
| | - Tianxin Lin
- Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Centre for Urological Diseases, Guangzhou, China
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Chen R, Xu D, Zhao J, Tang X, Yang H, Liang H. Effects of cations on biofilms in gravity-driven membrane system: Filtration performance and mechanism investigation. Water Res 2024; 254:121383. [PMID: 38432002 DOI: 10.1016/j.watres.2024.121383] [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: 10/19/2023] [Revised: 02/15/2024] [Accepted: 02/25/2024] [Indexed: 03/05/2024]
Abstract
The gravity-driven membrane (GDM) system is desirable for energy-efficient water treatment. However, little is known about the influence of cations on biofilm properties and GDM performance. In this study, typical cations (Ca2+ and Na+) were used to reveal the combined fouling behavior and mechanisms. Results showed that Ca2+ improved the stable flux and pollutant removal efficiency, while Na+ adversely affected the flux. Compared with GDM control, the concentration of pollutants was lower in Ca-GDM, as indicated by the low biomass, proteins, and polysaccharides. A heterogeneous and loose biofilm was observed in the Ca-GDM system, with roughness and porosity increasing by 43.06 % and 32.60 %, respectively. However, Na+ induced a homogeneous and dense biofilm, with porosity and roughness respectively reduced by 17.48 % and 22.04 %. The richness of bacterial communities increased in Ca-GDM systems, while it decreased in Na-GDM systems. High adenosine triphosphate (ATP) concentration in Ca-GDM system was consistent with the abundant bacteria and their high biological activity, which was helpful for the efficient removal of pollutants. The abundance of Apicomplexa, Platyhelminthes, Annelida and Nematoda increased after adding Ca2+, which was related to the formation of loose biofilms. Computational simulations indicated that the free volumes of the biofilms in Ca-GDM and Na-GDM were 13.7 and 13.2 nm3, respectively. The addition of cations changed intermolecular forces, Ca2+ induced bridging effects led to large and loose floc particles, while the significant dehydration of hydrated molecules in the Na-GDM caused obvious aggregation. Overall, microbiological characteristics and contaminant molecular interactions were the main reasons for differences in GDM systems.
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Affiliation(s)
- Rui Chen
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE), School of Environment, Harbin Institute of Technology, Harbin 150090, PR China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, PR China
| | - Daliang Xu
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE), School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Jing Zhao
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE), School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Xiaobin Tang
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE), School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Haiyang Yang
- School of Civil Engineering, Guangzhou University, Guangzhou 510006, PR China
| | - Heng Liang
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE), School of Environment, Harbin Institute of Technology, Harbin 150090, PR China.
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Wang D, Tang Z, Chen R, Zhong X, Du X, Li YX, Zhao Z. Physicochemical properties of esterified/crosslinked quinoa starches and their influence on bread quality. J Sci Food Agric 2024; 104:3834-3841. [PMID: 38394374 DOI: 10.1002/jsfa.13265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/14/2023] [Accepted: 12/28/2023] [Indexed: 02/25/2024]
Abstract
BACKGROUND Starch is the main component of quinoa seeds. However, quinoa starch has poor solubility in cold water and poor mechanical resistance and is easily aged, which limit its application. Therefore, modification of its structure to improve its functional properties is necessary. RESULTS This research used acetic anhydride and sodium trimetaphosphate to modify the structure of starch molecules and investigated their influence on bread quality. The results showed that both esterification and crosslinking prevented the aggregation behavior of starch molecules. Moreover, they both decreased the gelatinization enthalpy change and relative crystallinity of the starch. Compared with native starch, modification significantly decreased the gelatinization temperature from 57.01 to 52.01 °C and the esterified starch exhibited the lowest enthalpy change with a 44.2% decrease. Modified starch increased the specific volume and decreased the hardness and chewiness of bread. Modification did not influence the moisture content in bread but impacted the water retention capacity, depending on the degree of modification. Low and medium degrees of modification improved the water retention capacity during storage. By contrast, a high degree of modification (10 g kg-1 crosslinking agent) decreased the water retention capacity. The dually modified quinoa starch (esterified and crosslinked) showed no influence on the textural properties of bread. CONCLUSION This study demonstrated that both esterification and crosslinking significantly improved the functional properties of quinoa starch. Crosslinked or esterified quinoa starches have the potential to improve the textural properties of bakery products. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Donghai Wang
- School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, China
- School of Biology and Food Engineering, Hubei Minzu University, Enshi, China
| | - Zhiyi Tang
- School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Rui Chen
- School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Xu Zhong
- School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Xiaoyao Du
- School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Yi-Xuan Li
- School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Zhengtao Zhao
- School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, China
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Sun Q, Chu Y, Zhang N, Chen R, Wang L, Wu J, Dong Y, Li H, Wang L, Tang L, Zhan C, Zhang JQ. Design, Synthesis, Formulation, and Bioevaluation of Trisubstituted Triazines as Highly Selective mTOR Inhibitors for the Treatment of Human Breast Cancer. J Med Chem 2024. [PMID: 38661655 DOI: 10.1021/acs.jmedchem.4c00173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The aberrant activation of the PI3K/mTOR signaling pathway is implicated in various human cancers. Thus, the development of inhibitors targeting mTOR has attracted considerable attention. In this study, we used a structure-based drug design strategy to discover a highly potent and kinase-selective mTOR inhibitor 24 (PT-88), which demonstrated an mTOR inhibitory IC50 value of 1.2 nM without obvious inhibition against another 195 kinases from the kinase profiling screening. PT-88 displayed selective inhibition against MCF-7 cells (IC50: 0.74 μM) with high biosafety against normal cells, in which autophagy induced by mTOR inhibition was implicated. After successful encapsulation in a lipodisc formulation, PT-88 demonstrated favorable pharmacokinetic and biosafety profiles and exerted a large antitumor effect in an MCF-7 subcutaneous bearing nude mice model. Our study shows the discovery of a highly selective mTOR inhibitor using a structure-based drug discovery strategy and provides a promising antitumor candidate for future study and development.
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Affiliation(s)
- Qiwen Sun
- Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, College of Pharmacy, Guizhou Medical University, Guiyang 561113, P. R. China
| | - Yuxiu Chu
- Department of Pharmacy, Shanghai Pudong Hospital & Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P. R. China
| | - Nana Zhang
- Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, College of Pharmacy, Guizhou Medical University, Guiyang 561113, P. R. China
| | - Rui Chen
- Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, College of Pharmacy, Guizhou Medical University, Guiyang 561113, P. R. China
| | - Lili Wang
- Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, College of Pharmacy, Guizhou Medical University, Guiyang 561113, P. R. China
| | - Jiangxia Wu
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, P. R. China
| | - Yongxi Dong
- Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, College of Pharmacy, Guizhou Medical University, Guiyang 561113, P. R. China
| | - Hongliang Li
- School of Medicine, Yunnan University, 2 Cuihu North Road, Kunming 650091, China
| | - Ling Wang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, P. R. China
| | - Lei Tang
- Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, College of Pharmacy, Guizhou Medical University, Guiyang 561113, P. R. China
| | - Changyou Zhan
- Department of Pharmacy, Shanghai Pudong Hospital & Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P. R. China
| | - Ji-Quan Zhang
- Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, College of Pharmacy, Guizhou Medical University, Guiyang 561113, P. R. China
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Li Z, Cai S, Qiao J, Li Y, Wang Q, Chen R. Implications of depressive mood in OSAHS patients: insights from event-related potential. BMC Psychiatry 2024; 24:307. [PMID: 38654234 DOI: 10.1186/s12888-024-05772-6] [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: 10/23/2023] [Accepted: 04/17/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a chronic breathing disorder characterized by recurrent upper airway obstruction during sleep. Although previous studies have shown a link between OSAHS and depressive mood, the neurobiological mechanisms underlying mood disorders in OSAHS patients remain poorly understood. This study aims to investigate the emotion processing mechanism in OSAHS patients with depressive mood using event-related potentials (ERPs). METHODS Seventy-four OSAHS patients were divided into the depressive mood and non-depressive mood groups according to their Self-rating Depression Scale (SDS) scores. Patients underwent overnight polysomnography and completed various cognitive and emotional questionnaires. The patients were shown facial images displaying positive, neutral, and negative emotions and tasked to identify the emotion category, while their visual evoked potential was simultaneously recorded. RESULTS The two groups did not differ significantly in age, BMI, and years of education, but showed significant differences in their slow wave sleep ratio (P = 0.039), ESS (P = 0.006), MMSE (P < 0.001), and MOCA scores (P = 0.043). No significant difference was found in accuracy and response time on emotional face recognition between the two groups. N170 latency in the depressive group was significantly longer than the non-depressive group (P = 0.014 and 0.007) at the bilateral parieto-occipital lobe, while no significant difference in N170 amplitude was found. No significant difference in P300 amplitude or latency between the two groups. Furthermore, N170 amplitude at PO7 was positively correlated with the arousal index and negatively with MOCA scores (both P < 0.01). CONCLUSION OSAHS patients with depressive mood exhibit increased N170 latency and impaired facial emotion recognition ability. Special attention towards the depressive mood among OSAHS patients is warranted for its implications for patient care.
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Affiliation(s)
- Zhiqiang Li
- Department of Respiratory and Critical Care Medicine, Sleep Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Sijie Cai
- Department of Respiratory and Critical Care Medicine, Sleep Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Pulmonary and Critical Care Medicine, Affiliated Kunshan Hospital of Jiangsu University, Suzhou, China
| | - Jiamin Qiao
- Department of Respiratory and Critical Care Medicine, Sleep Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yezhou Li
- Oxford University Clinical Academic Graduate School and Buckinghamshire Healthcare NHS Trust, Oxford, UK
| | - Qiaojun Wang
- Department of Respiratory and Critical Care Medicine, Sleep Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Rui Chen
- Department of Respiratory and Critical Care Medicine, Sleep Center, The Second Affiliated Hospital of Soochow University, Suzhou, China.
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Hong LM, Liu JM, Lin L, Huang CC, Chen R, Lin WW. Modeling an evaluation of the efficacy of the novel neuroanalgesic drug mirogabalin for diabetic peripheral neuropathic pain and postherpetic neuralgia therapy. Eur J Pharm Sci 2024:106777. [PMID: 38649099 DOI: 10.1016/j.ejps.2024.106777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 03/25/2024] [Accepted: 04/19/2024] [Indexed: 04/25/2024]
Abstract
Diabetic peripheral neuropathic pain (DPNP) and postherpetic neuralgia (PHN) are challenging and often intractable complex medical conditions, with a substantial impact on the quality of life. Mirogabalin, a novel voltage-gated Ca2+ channel α2δ ligand, was approved for the indication of DPNP and PHN. However, the time course of effects has not yet been clarified.We aimed to establish pharmacodynamic and placebo effect models of mirogabalin and pregabalin in DPNP and PHN, and to quantitatively compare the efficacy characteristics (maximum efficacy, onset time, and other pharmacodynamic parameters) and safety of mirogabalin and pregabalin. Public databases were comprehensively searched for randomized placebo-controlled clinical trials. A model-based meta-analysis (MBMA) was developed to describe the time course of drug efficacy and placebo effects. Adverse events were compared using a fixed-effects meta-analysis. Sixteen studies including 5,147 participants were eligible for this study. The placebo effect was relatively high and gradually increased with time, and it required at least eight weeks to reach a plateau. The pharmacodynamic model revealed that the maximum pure efficacy for mirogabalin and pregabalin was approximately -7.85% and -8.86%, respectively; the efficacy of mirogabalin to relieve DPNP and PHN was not superior to that of pregabalin, and both drugs had similar safety. While the rate constant of the onset rate of pregabalin was approximately thrice as high as that of mirogabalin. In addition, the baseline level of pain was an important factor affecting pregabalin efficacy. These findings are helpful in evaluating the clinical extension value of mirogabalin. They suggest that the high placebo effect and the baseline level of pain should be considered when grouping patients in future research and development of voltage-gated Ca2+ channel neuroanalgesic.
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Affiliation(s)
- Li-Mian Hong
- Department of Pharmacy, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian 362000, PR China
| | - Jian-Min Liu
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Lei Lin
- Department of Pharmacy, Sanming First Hospital, Affiliated Hospital of Fujian Medical University, Sanming 365000,PR China
| | - Chun-Chun Huang
- Department of Pharmacy, Jian'ou Integrated Traditional Chinese and Western Medicine Hospital, 306 Zhong-shan West Road, Fujian 353100, PR China
| | - Rui Chen
- Department of Pharmacy, Wuhan No. 1 Hospital, Wuhan 420032, PR China.
| | - Wei-Wei Lin
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, PR China.
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18
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Fang Z, Chen R, Fröch JE, Tanguy QAA, Khan AI, Wu X, Tara V, Manna A, Sharp D, Munley C, Miller F, Zhao Y, Geiger S, Böhringer KF, Reynolds MS, Pop E, Majumdar A. Nonvolatile Phase-Only Transmissive Spatial Light Modulator with Electrical Addressability of Individual Pixels. ACS Nano 2024. [PMID: 38639708 DOI: 10.1021/acsnano.4c00340] [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: 04/20/2024]
Abstract
Active metasurfaces with tunable subwavelength-scale nanoscatterers are promising platforms for high-performance spatial light modulators (SLMs). Among the tuning methods, phase-change materials (PCMs) are attractive because of their nonvolatile, threshold-driven, and drastic optical modulation, rendering zero-static power, crosstalk immunity, and compact pixels. However, current electrically controlled PCM-based metasurfaces are limited to global amplitude modulation, which is insufficient for SLMs. Here, an individual-pixel addressable, transmissive metasurface is experimentally demonstrated using the low-loss PCM Sb2Se3 and doped silicon nanowire heaters. The nanowires simultaneously form a diatomic metasurface, supporting a high-quality-factor (∼406) quasi-bound-state-in-the-continuum mode. A global phase-only modulation of ∼0.25π (∼0.2π) in simulation (experiment) is achieved, showing ten times enhancement. A 2π phase shift is further obtained using a guided-mode resonance with enhanced light-Sb2Se3 interaction. Finally, individual-pixel addressability and SLM functionality are demonstrated through deterministic multilevel switching (ten levels) and tunable far-field beam shaping. Our work presents zero-static power transmissive phase-only SLMs, enabled by electrically controlled low-loss PCMs and individual meta-molecule addressable metasurfaces.
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Affiliation(s)
- Zhuoran Fang
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Rui Chen
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Johannes E Fröch
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
- Department of Physics, University of Washington, Seattle, Washington 98195, United States
| | - Quentin A A Tanguy
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Asir Intisar Khan
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Xiangjin Wu
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Virat Tara
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Arnab Manna
- Department of Physics, University of Washington, Seattle, Washington 98195, United States
| | - David Sharp
- Department of Physics, University of Washington, Seattle, Washington 98195, United States
| | - Christopher Munley
- Department of Physics, University of Washington, Seattle, Washington 98195, United States
| | - Forrest Miller
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
- The Charles Stark Draper Laboratory, Cambridge, Massachusetts 02139, United States
| | - Yang Zhao
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Sarah Geiger
- The Charles Stark Draper Laboratory, Cambridge, Massachusetts 02139, United States
| | - Karl F Böhringer
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
- Institute for Nano-engineered Systems, University of Washington, Seattle, Washington 98195, United States
| | - Matthew S Reynolds
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Eric Pop
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Arka Majumdar
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, United States
- Department of Physics, University of Washington, Seattle, Washington 98195, United States
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19
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Chen R, Hao H, Dai Y, Cheng L, Bai F, Wang X, Hu W. Effects of different treatment modalities on cardiovascular disease in ARR-positive hypertensive patients. Hypertens Res 2024:10.1038/s41440-024-01676-w. [PMID: 38632456 DOI: 10.1038/s41440-024-01676-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/28/2024] [Accepted: 03/20/2024] [Indexed: 04/19/2024]
Abstract
Data on the prognosis of clinically undiagnosed hypertensive patients who are aldosterone-to-renin ratio (ARR) positive are still scarce. Therefore, we investigated the clinical characteristics of clinically undiagnosed hypertensive patients who were ARR-positive and the influence of their different treatments on the occurrence and development of complications. A total of 285 hypertensive patients data with ARR ≥ 3.8 in the Second People's Hospital of Huai'an from January 2019 to December 2021 were collected, and 135 undiagnosed hypertensive patients were ultimately included in the analysis. According to their treatment strategy in various clinical departments, 135 patients were divided into the operation, spironolactone and control groups. Then, the clinical characteristics and the occurrence and development of complications in the three groups were compared. The results suggested that: (1) Only 34 (11.9%) of 285 hypertensive patients with ARR ≥ 3.8 were clearly diagnosed with Primary aldosteronism (PA) through functional tests, and the blood pressure (BP) compliance rate was only 50.30% during follow-up. (2) Based on exclusion criteria, 135 undiagnosed hypertensive patients were eventually included in the analysis. Patients in the surgery group had lower blood potassium levels and higher aldosterone levels than those in the other two groups, and their risk of new cerebrovascular complications was lower than that of the patients in the spironolactone group. (3) The risk of new cerebrovascular complications in the spironolactone group was 9.520 times higher than that of the control group, and this risk mainly occurred in patients with ARR values of 3.8-5.7. On the whole, surgery remains a good option for hypertensive patients with severe hyperaldosteronism and hypokalemia and those unable to undergo confirmatory tests; however, spironolactone therapy in patients with clinically undiagnosed hypertension, especially those with 3.8 ≤ ARR < 5.7, confered a higher risk of new cerebrovascular complications.
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Affiliation(s)
- Rui Chen
- Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, 223002, China
| | - Hairong Hao
- Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, 223002, China
| | - Yuhong Dai
- Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, 223002, China
| | - Liang Cheng
- Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, 223002, China
| | - Feng Bai
- Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, 223002, China
| | - Xiaoqing Wang
- Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, 223002, China
| | - Wen Hu
- Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, 223002, China.
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20
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Li J, Zhang S, Chen R. Pharmacokinetics and multi-peak phenomenon analysis of novel anti-Parkinson's drug FLZ after multi-dose in cynomolgus monkeys. Xenobiotica 2024:1-10. [PMID: 38563808 DOI: 10.1080/00498254.2024.2326475] [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: 01/17/2024] [Accepted: 02/29/2024] [Indexed: 04/04/2024]
Abstract
The novel anti-Parkinson disease drug, FLZ, had a complicated drug absorption and metabolise process reported in single-dose studies. A multi-peak absorption peak phenomenon was found.This study focused on the multi-dose pharmacokinetics (PK) characteristics of FLZ, T1, and T2 in cynomolgus monkeys and raised discussion on its multi-peak absorption situation. Different doses of FLZ ranging from 75 to 300 mg/kg were administered orally to 16 cynomolgus monkeys. The whole treatment period lasted for 42 days with FLZ once a day.The primary metabolites of FLZ were Target1 (T1) and Target2 (T2), which had plasma exposure (calculated as AUC0-24, day 42) approximately 2 and 10 times higher than the parent drug. The proportion of plasma exposure increase was lower than the proportion of dose increase in FLZ, T1, and T2.Gender influenced its exposure (AUC0-24) with approximately 3-fold higher in males than females. There was no significant accumulation of T1 and T2. Enterohepatic Circulation (EHC) and gastrointestinal (GI) tract absorption may be involved in the mechanism of multi-peak characteristics.
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Affiliation(s)
- Jiayu Li
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Shuofeng Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Rui Chen
- Clinical Pharmacology Research Centre, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK and PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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21
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Chen R, Chen X, Zhao J. Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix. PLoS One 2024; 19:e0301897. [PMID: 38630709 PMCID: PMC11023508 DOI: 10.1371/journal.pone.0301897] [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: 01/16/2024] [Accepted: 03/25/2024] [Indexed: 04/19/2024] Open
Abstract
With the continuous development of vehicular ad hoc networks (VANET) security, using federated learning (FL) to deploy intrusion detection models in VANET has attracted considerable attention. Compared to conventional centralized learning, FL retains local training private data, thus protecting privacy. However, sensitive information about the training data can still be inferred from the shared model parameters in FL. Differential privacy (DP) is sophisticated technique to mitigate such attacks. A key challenge of implementing DP in FL is that non-selectively adding DP noise can adversely affect model accuracy, while having many perturbed parameters also increases privacy budget consumption and communication costs for detection models. To address this challenge, we propose FFIDS, a FL algorithm integrating model parameter pruning with differential privacy. It employs a parameter pruning technique based on the Fisher Information Matrix to reduce the privacy budget consumption per iteration while ensuring no accuracy loss. Specifically, FFIDS evaluates parameter importance and prunes unimportant parameters to generate compact sub-models, while recording the positions of parameters in each sub-model. This not only reduces model size to lower communication costs, but also maintains accuracy stability. DP noise is then added to the sub-models. By not perturbing unimportant parameters, more budget can be reserved to retain important parameters for more iterations. Finally, the server can promptly recover the sub-models using the parameter position information and complete aggregation. Extensive experiments on two public datasets and two F2MD simulation datasets have validated the utility and superior performance of the FFIDS algorithm.
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Affiliation(s)
- Rui Chen
- School of Software Technology, Dalian University of Technology, Dalian, Liaoning, China
| | - Xiaoyu Chen
- School of Software Technology, Dalian University of Technology, Dalian, Liaoning, China
| | - Jing Zhao
- School of Software Technology, Dalian University of Technology, Dalian, Liaoning, China
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22
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Chen R, Li S, Cao H, Xu T, Bai Y, Li Z, Leng X, Huang Y. Rapid quality evaluation and geographical origin recognition of ginger powder by portable NIRS in tandem with chemometrics. Food Chem 2024; 438:137931. [PMID: 37989021 DOI: 10.1016/j.foodchem.2023.137931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/19/2023] [Accepted: 11/02/2023] [Indexed: 11/23/2023]
Abstract
Ginger powder is an important spice that is susceptible to improper sales such as adulteration or geographical fraud. In this study, a portable near infrared spectroscopy was used to quantitatively predict the 6-gingerol content, an important quality index of ginger, as well as to identify the gingers from three origins in China. Specifically, the optimal preprocessing method was first investigated by comparing the predictions of models. Then three feature variable selection methods including PCA, CARS, and RFrog, on the quantitative analysis of 6-gingerol were also compared, respectively. After comparison, the PLS model established on the S-G combined with SNV preprocessing outperformed the others. The PLS regression of 6-gingerol with variables selected by RFrog possessed the Rc2 of 0.9463, Rp2 of 0.9497, and the RPD of 4.2257, respectively. Moreover, the results further verified that the LDA model by SPA variables extraction successfully identify gingers from different origins with 100 % accuracy.
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Affiliation(s)
- Rui Chen
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Sanya Institute of China Agricultural University, Hainan 572025, China; Institute of Healthy Food Industry, China Agricultural University, Jiangsu 225721, China
| | - Shaoqun Li
- Institute of Healthy Food Industry, China Agricultural University, Jiangsu 225721, China; Food Detection and Supervision Center, Xinghua, Jiangsu 225721, China
| | - Huijuan Cao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Sanya Institute of China Agricultural University, Hainan 572025, China; Institute of Healthy Food Industry, China Agricultural University, Jiangsu 225721, China
| | - Tongguang Xu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Sanya Institute of China Agricultural University, Hainan 572025, China; Beijing R&D Center, Shanghai Tobacco Group, Beijing 101121, China
| | - Yanchang Bai
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Sanya Institute of China Agricultural University, Hainan 572025, China; Institute of Healthy Food Industry, China Agricultural University, Jiangsu 225721, China
| | - Zhanming Li
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Jiangsu 212004, China
| | - Xiaojing Leng
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Sanya Institute of China Agricultural University, Hainan 572025, China
| | - Yue Huang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Sanya Institute of China Agricultural University, Hainan 572025, China; Institute of Healthy Food Industry, China Agricultural University, Jiangsu 225721, China; School of Grain Science and Technology, Jiangsu University of Science and Technology, Jiangsu 212004, China.
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23
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Zhu L, Pan J, Mou W, Deng L, Zhu Y, Wang Y, Pareek G, Hyams E, Carneiro BA, Hadfield MJ, El-Deiry WS, Yang T, Tan T, Tong T, Ta N, Zhu Y, Gao Y, Lai Y, Cheng L, Chen R, Xue W. Harnessing artificial intelligence for prostate cancer management. Cell Rep Med 2024; 5:101506. [PMID: 38593808 PMCID: PMC11031422 DOI: 10.1016/j.xcrm.2024.101506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 01/05/2024] [Accepted: 03/19/2024] [Indexed: 04/11/2024]
Abstract
Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is crucial for clinical decision-making, but traditional pathology review is labor intensive and subjective to some extent. Digital pathology and whole-slide imaging enable the application of artificial intelligence (AI) in pathology. This review highlights the success of AI in detecting and grading PCa, predicting patient outcomes, and identifying molecular subtypes. We propose that AI-based methods could collaborate with pathologists to reduce workload and assist clinicians in formulating treatment recommendations. We also introduce the general process and challenges in developing AI pathology models for PCa. Importantly, we summarize publicly available datasets and open-source codes to facilitate the utilization of existing data and the comparison of the performance of different models to improve future studies.
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Affiliation(s)
- Lingxuan Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Changping Laboratory, Beijing, China
| | - Jiahua Pan
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Longxin Deng
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yinjie Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yanqing Wang
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Gyan Pareek
- Department of Surgery (Urology), Brown University Warren Alpert Medical School, Providence, RI, USA; Minimally Invasive Urology Institute, Providence, RI, USA
| | - Elias Hyams
- Department of Surgery (Urology), Brown University Warren Alpert Medical School, Providence, RI, USA; Minimally Invasive Urology Institute, Providence, RI, USA
| | - Benedito A Carneiro
- The Legorreta Cancer Center at Brown University, Lifespan Cancer Institute, Providence, RI, USA
| | - Matthew J Hadfield
- The Legorreta Cancer Center at Brown University, Lifespan Cancer Institute, Providence, RI, USA
| | - Wafik S El-Deiry
- The Legorreta Cancer Center at Brown University, Laboratory of Translational Oncology and Experimental Cancer Therapeutics, Department of Pathology & Laboratory Medicine, The Warren Alpert Medical School of Brown University, The Joint Program in Cancer Biology, Brown University and Lifespan Health System, Division of Hematology/Oncology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Tao Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Tan
- Faculty of Applied Sciences, Macao Polytechnic University, Address: R. de Luís Gonzaga Gomes, Macao, China
| | - Tong Tong
- College of Physics and Information Engineering, Fuzhou University, Fujian 350108, China
| | - Na Ta
- Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yan Zhu
- Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yisha Gao
- Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yancheng Lai
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Liang Cheng
- Department of Surgery (Urology), Brown University Warren Alpert Medical School, Providence, RI, USA; Department of Pathology and Laboratory Medicine, Department of Surgery (Urology), Brown University Warren Alpert Medical School, Lifespan Health, and the Legorreta Cancer Center at Brown University, Providence, RI, USA.
| | - Rui Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
| | - Wei Xue
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
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24
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Wang W, Zhang L, Hu P, Wang Y, Jin X, Chen R, Zhang W, Ni Y, Wang J. Multifunctional packaging film with sustained release behavior triggered by pH microenvironment for efficient preservation of pork. Food Chem 2024; 438:138007. [PMID: 37983994 DOI: 10.1016/j.foodchem.2023.138007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 10/27/2023] [Accepted: 11/14/2023] [Indexed: 11/22/2023]
Abstract
To tackle microbial contamination and spoilage during pork storage, transportation, and sales, a novel packaging film with exogenously driven controlled release behavior was designed through the demand-directed preparation of the emulsion of shellac-encapsulated cinnamaldehyde nano-capsules (SNCs) and the ingenious integration of chitosan (CS) film matrix. Among them, the SNCs were synthesized using the solvent exchange method, allowing controlled release of cinnamaldehyde (CA) in response to volatile alkaline substances present in the meat. The electrostatic interaction between SNCs and CS molecules improved the thermal stability, water resistance, tensile strength, and viscosity of the film-forming solution, while the CA in SNCs enhanced UV resistance and antimicrobial properties of the film. Notably, the CS film with SNC-100 loaded (CSNCs-100 film) achieved 99% inhibition against both E. coli and S. aureus, regulated environmental moisture, and prolonged the freshness duration of pork by an impressive six days.
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Affiliation(s)
- Wenze Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Liang Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Puyuan Hu
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Yuxuan Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Xinyi Jin
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Rui Chen
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Wentao Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China.
| | - Yongsheng Ni
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China.
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China.
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25
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Hu L, Xu Y, Zhang QS, Chen XY, Li C, Chen R, Hou GL, Lv Z, Xiao TY, Zou J, Wang HQ, Li JH. IL-6/STAT3 axis is hijacked by GCRV to facilitate viral replication via suppressing type Ⅰ IFN signaling. Fish Shellfish Immunol 2024; 149:109564. [PMID: 38631439 DOI: 10.1016/j.fsi.2024.109564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 04/10/2024] [Accepted: 04/14/2024] [Indexed: 04/19/2024]
Abstract
Grass carp reovirus (GCRV) infections and hemorrhagic disease (GCHD) outbreaks are typically seasonally periodic and temperature-dependent, yet the molecular mechanism remains unclear. Herein, we depicted that temperature-dependent IL-6/STAT3 axis was exploited by GCRV to facilitate viral replication via suppressing type Ⅰ IFN signaling. Combined multi-omics analysis and qPCR identified IL-6, STAT3, and IRF3 as potential effector molecules mediating GCRV infection. Deploying GCRV challenge at 18 °C and 28 °C as models of resistant and permissive infections and switched to the corresponding temperatures as temperature stress models, we illustrated that IL-6 and STAT3 expression, genome level of GCRV, and phosphorylation of STAT3 were temperature dependent and regulated by temperature stress. Further research revealed that activating IL-6/STAT3 axis enhanced GCRV replication and suppressed the expression of IFNs, whereas blocking the axis impaired viral replication. Mechanistically, grass carp STAT3 inhibited IRF3 nuclear translocation via interacting with it, thus down-regulating IFNs expression, restraining transcriptional activation of the IFN promoter, and facilitating GCRV replication. Overall, our work sheds light on an immune evasion mechanism whereby GCRV facilitates viral replication by hijacking IL-6/STAT3 axis to down-regulate IFNs expression, thus providing a valuable reference for targeted prevention and therapy of GCRV.
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Affiliation(s)
- Liang Hu
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Yang Xu
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Qiu-Shi Zhang
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Xiao-Ying Chen
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Chun Li
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Rui Chen
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Guo-Li Hou
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Zhao Lv
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Tiao-Yi Xiao
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China
| | - Jun Zou
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Hong-Quan Wang
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China.
| | - Jun-Hua Li
- College of Fisheries, Hunan Agricultural University, Changsha, 410128, China.
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26
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Xiao S, Han X, Bai S, Chen R. Analysis of immune cell infiltration characteristics in severe acute pancreatitis through integrated bioinformatics. Sci Rep 2024; 14:8711. [PMID: 38622245 PMCID: PMC11018854 DOI: 10.1038/s41598-024-59205-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 04/08/2024] [Indexed: 04/17/2024] Open
Abstract
The etiopathogenesis of severe acute pancreatitis (SAP) remains poorly understood. We aim to investigate the role of immune cells Infiltration Characteristics during SAP progression. Gene expression profiles of the GSE194331 dataset were retrieved from the GEO. Lasso regression and random forest algorithms were employed to select feature genes from genes related to SAP progression and immune responses. CIBERSORT was utilized to estimate differences in immune cell types and proportions and the relationship between immune cells and gene expression. We performed pathway enrichment analysis using GSEA to examine disparities in KEGG signaling pathways when comparing the two groups. Additionally, CMap analysis was executed to identify prospective small molecular compounds. The three hub genes (CBLB, JADE2, RNF144A) were identified that can predict SAP progression. Analysis of CIBERSORT and TISIDB databases has shown that there are significant differences in immune cell expression levels between the normal and SAP groups, and three hub genes (CBLB, JADE2, RNF144A) were highly correlated with multiple immune cells, regulating the characteristics of immune cell infiltration in the microenvironment. Finally, drug prediction through the Connectivity Map database suggested that compounds such as Entecavir, KU-0063794, Y-27632, and Antipyrine have certain effects as potential targeted drugs for the treatment of SAP. CBLB, JADE2, and RNF144A are hub genes in SAP, potentially playing important roles in SAP progression. This finding further broadens the understanding of the etiopathogenesis of SAP and provides a feasible basis for future research on diagnostic and immunotherapeutic targets for SAP.
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Affiliation(s)
- Shuai Xiao
- Department of Intensive Care Medicine, Tengzhou Central People's Hospital, Tengzhou, China
| | - Xiao Han
- Department of Nutriology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Shuhui Bai
- Department of General Practice, Jining First People's Hospital, Jining, China
| | - Rui Chen
- Department of General Practice, The Third People's Hospital of Chengdu, Chengdu, China.
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Jia H, Fei X, Zhu J, Chen W, Chen R, Liao Z, Zhou B, Huang Y, Du H, Xu P, Zhang X, Li W. Soil respiration and its response to climate change and anthropogenic factors in a karst plateau wetland, southwest China. Sci Rep 2024; 14:8653. [PMID: 38622331 PMCID: PMC11018823 DOI: 10.1038/s41598-024-59495-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 04/11/2024] [Indexed: 04/17/2024] Open
Abstract
It is important to investigate the responses of greenhouse gases to climate change (temperature, precipitation) and anthropogenic factors in plateau wetland. Based on the DNDC model, we used meteorological, soil, and land cover data to simulate the soil CO2 emission pattern and its responses to climate change and anthropogenic factors in Guizhou, China. The results showed that the mean soil CO2 emission flux in the Caohai Karst Plateau Wetland was 5.89 ± 0.17 t·C·ha-1·yr-1 from 2000 to 2019, and the annual variation showed an increasing trend with the rate of 23.02 kg·C·ha-1·yr-1. The soil total annual mean CO2 emissions were 70.62 ± 2.04 Gg·C·yr-1 (annual growth rate was 0.28 Gg·C·yr-1). Caohai wetland has great spatial heterogeneity. The emissions around Caohai Lake were high (the areas with high, middle, and low values accounted for 3.07%, 70.96%, and 25.97%, respectively), and the emission pattern was characterized by a decrease in radiation from Caohai Lake to the periphery. In addition, the cropland and forest areas exhibited high intensities (7.21 ± 0.15 t·C·ha-1·yr-1 and 6.73 ± 0.58 t·C·ha-1·yr-1, respectively) and high total emissions (54.97 ± 1.16 Gg·C·yr-1 and 10.24 ± 0.88 Gg·C·yr-1, respectively). Croplands and forests were the major land cover types controlling soil CO2 emissions in the Caohai wetland, while anthropogenic factors (cultivation) significantly increased soil CO2 emissions. Results showed that the soil CO2 emissions were positively correlated with temperature and precipitation; and the temperature change had a greater impact on soil respiration than the change in precipitation. Our results indicated that future climate change (increased temperature and precipitation) may promote an increase in soil CO2 emissions in karst plateau wetlands, and reasonable control measures (e.g. returning cropland to lakes and reducing anthropogenic factors) are the keys to controlling CO2 emissions.
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Affiliation(s)
- Hongyu Jia
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Xuehai Fei
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China.
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China.
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China.
- Guizhou Caohai Observation and Research Station for Wet Ecosystem, National Forestry and Grassland Administration, Weining, 553100, Guizhou, China.
| | - Jingyu Zhu
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Weiduo Chen
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Rui Chen
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Zhangze Liao
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Binghuang Zhou
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Yingqian Huang
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Haiqiang Du
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Peng Xu
- College of Resources and Environmental Engineering, Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guizhou University, 2708 Huaxi Avenue, Guiyang, 550025, Guizhou, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, 550025, Guizhou, China
- Guizhou Provincial Double Carbon and Renewable Energy Technology Innovation Research Institute, Guiyang, 550025, Guizhou, China
| | - Xu Zhang
- Guizhou Caohai Observation and Research Station for Wet Ecosystem, National Forestry and Grassland Administration, Weining, 553100, Guizhou, China
| | - Wangjun Li
- Guizhou Province Key Laboratory of Ecological Protection and Restoration of Typical Plateau Wetlands (Guizhou University of Engineering Science), Bijie, 55170, Guizhou, China
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Liu C, Zhuo Z, Qu L, Jin Y, Hua T, Xu J, Tan G, Li Y, Duan Y, Wang T, Zhang Z, Zhang Y, Chen R, Yu P, Zhang P, Shi Y, Zhang J, Tian D, Li R, Zhang X, Shi F, Wang Y, Jiang J, Carass A, Liu Y, Ye C. DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training. Sci Bull (Beijing) 2024; 69:872-875. [PMID: 38320896 DOI: 10.1016/j.scib.2024.01.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Affiliation(s)
- Chenghao Liu
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Liying Qu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Ying Jin
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Tiantian Hua
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jun Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Guirong Tan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yuna Li
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Tingting Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zaiqiang Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yanling Zhang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Rui Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Pinnan Yu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Peixin Zhang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yulu Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| | - Decai Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Runzhi Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China
| | - Xinghu Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Fudong Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Yanli Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Jiwei Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China
| | - Aaron Carass
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore 21205, USA
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
| | - Chuyang Ye
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
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29
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Huang X, Chen X, Li Y, Mangeri J, Zhang H, Ramesh M, Taghinejad H, Meisenheimer P, Caretta L, Susarla S, Jain R, Klewe C, Wang T, Chen R, Hsu CH, Harris I, Husain S, Pan H, Yin J, Shafer P, Qiu Z, Rodrigues DR, Heinonen O, Vasudevan D, Íñiguez J, Schlom DG, Salahuddin S, Martin LW, Analytis JG, Ralph DC, Cheng R, Yao Z, Ramesh R. Manipulating chiral spin transport with ferroelectric polarization. Nat Mater 2024:10.1038/s41563-024-01854-8. [PMID: 38622325 DOI: 10.1038/s41563-024-01854-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 03/07/2024] [Indexed: 04/17/2024]
Abstract
A magnon is a collective excitation of the spin structure in a magnetic insulator and can transmit spin angular momentum with negligible dissipation. This quantum of a spin wave has always been manipulated through magnetic dipoles (that is, by breaking time-reversal symmetry). Here we report the experimental observation of chiral spin transport in multiferroic BiFeO3 and its control by reversing the ferroelectric polarization (that is, by breaking spatial inversion symmetry). The ferroelectrically controlled magnons show up to 18% modulation at room temperature. The spin torque that the magnons in BiFeO3 carry can be used to efficiently switch the magnetization of adjacent magnets, with a spin-torque efficiency comparable to the spin Hall effect in heavy metals. Utilizing such controllable magnon generation and transmission in BiFeO3, an all-oxide, energy-scalable logic is demonstrated composed of spin-orbit injection, detection and magnetoelectric control. Our observations open a new chapter of multiferroic magnons and pave another path towards low-dissipation nanoelectronics.
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Affiliation(s)
- Xiaoxi Huang
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
| | - Xianzhe Chen
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA.
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - Yuhang Li
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | - John Mangeri
- Materials Research and Technology Department, Luxembourg Institute of Science and Technology, Esch/Alzette, Luxembourg
| | - Hongrui Zhang
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
| | - Maya Ramesh
- Department of Materials Science and Engineering, Cornell University, Ithaca, NY, USA
| | | | - Peter Meisenheimer
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
| | - Lucas Caretta
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
| | - Sandhya Susarla
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA
| | - Rakshit Jain
- Department of Physics, Cornell University, Ithaca, NY, USA
- Kavli Institute at Cornell for Nanoscale Science, Ithaca, NY, USA
| | - Christoph Klewe
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Tianye Wang
- Department of Physics, University of California, Berkeley, CA, USA
| | - Rui Chen
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
| | - Cheng-Hsiang Hsu
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Isaac Harris
- Department of Physics, University of California, Berkeley, CA, USA
| | - Sajid Husain
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Hao Pan
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
| | - Jia Yin
- Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Padraic Shafer
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ziqiang Qiu
- Department of Physics, University of California, Berkeley, CA, USA
| | - Davi R Rodrigues
- Department of Electrical Engineering, Politecnico di Bari, Bari, Italy
| | - Olle Heinonen
- Materials Science Division, Argonne National Laboratory, Lemont, IL, USA
| | - Dilip Vasudevan
- Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jorge Íñiguez
- Materials Research and Technology Department, Luxembourg Institute of Science and Technology, Esch/Alzette, Luxembourg
- Department of Physics and Materials Science, University of Luxembourg, Belvaux, Luxembourg
| | - Darrell G Schlom
- Department of Materials Science and Engineering, Cornell University, Ithaca, NY, USA
| | - Sayeef Salahuddin
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Lane W Martin
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - James G Analytis
- Department of Physics, University of California, Berkeley, CA, USA
- CIFAR Quantum Materials, CIFAR, Toronto, Ontario, Canada
| | - Daniel C Ralph
- Department of Physics, Cornell University, Ithaca, NY, USA
- Kavli Institute at Cornell for Nanoscale Science, Ithaca, NY, USA
| | - Ran Cheng
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
- Department of Physics and Astronomy, University of California, Riverside, CA, USA
| | - Zhi Yao
- Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ramamoorthy Ramesh
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA.
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Department of Physics, University of California, Berkeley, CA, USA.
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Chen R, Yang C, Guo Y, Chen G, Li S, Li P, Wang J, Meng R, Wang HY, Peng S, Sun X, Wang F, Kong G, Zhang L. Association between ambient PM 1 and the prevalence of chronic kidney disease in China: A nationwide study. J Hazard Mater 2024; 468:133827. [PMID: 38377899 DOI: 10.1016/j.jhazmat.2024.133827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 02/22/2024]
Abstract
Particulate of diameter ≤ 1 µm (PM1) presents a novel risk factor of adverse health effects. Nevertheless, the association of PM1 with the risk of chronic kidney disease (CKD) in the general population is not well understood, particularly in regions with high PM1 levels like China. Based on a nationwide representative survey involving 47,204 adults and multi-source ambient air pollution inversion data, the present study evaluated the association of PM1 with CKD prevalence in China. The two-year average PM1, particulate of diameter ≤ 2.5 µm (PM2.5), and PM1-2.5 values were accessed using a satellite-based random forest approach. CKD was defined as estimated glomerular filtration rate < 60 ml/min/1.73 m2 or albuminuria. The results suggested that a 10 μg/m3 rise in PM1 was related to a higher CKD risk (odds ratio [OR], 1.13; 95% confidence interval [CI] 1.08-1.18) and albuminuria (OR, 1.11; 95% CI, 1.05-1.17). The association between PM1 and CKD was more evident among urban populations, older adults, and those without comorbidities such as diabetes or hypertension. Every 1% increase in the PM1/PM2.5 ratio was related to the prevalence of CKD (OR, 1.03; 95% CI, 1.03-1.04), but no significant relationship was found for PM1-2.5. In conclusion, the present study demonstrated long-term exposure to PM1 was associated with an increased risk of CKD in the general population and PM1 might play a leading role in the observed relationship of PM2.5 with the risk of CKD. These findings provide crucial evidence for developing air pollution control strategies to reduce the burden of CKD.
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Affiliation(s)
- Rui Chen
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Ruogu Meng
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Huai-Yu Wang
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Suyuan Peng
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Xiaoyu Sun
- Advanced Institute of Information Technology, Peking University, Hangzhou, China; National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Fulin Wang
- National Institute of Health Data Science at Peking University, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - Guilan Kong
- Advanced Institute of Information Technology, Peking University, Hangzhou, China; National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China; National Institute of Health Data Science at Peking University, Beijing 100191, China.
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Liu X, Teng L, Dai J, Shao H, Chen R, Li H, Li J, Zou H. Effect of Intraoperative Opioid Dose on Perioperative Neutrophil-to-Lymphocyte Ratio and Lymphocyte-to-Monocyte Ratio in Glioma. J Inflamm Res 2024; 17:2159-2167. [PMID: 38617385 PMCID: PMC11016269 DOI: 10.2147/jir.s451455] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 03/26/2024] [Indexed: 04/16/2024] Open
Abstract
Background The neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) are inflammatory biomarkers. Until now, it is unknown the impact of opioid dosage on perioperative immunity in glioma patients. The aim of this study was to explore the effect of intraoperative opioid dosage on perioperative immune perturbations using NLR and LMR as inflammatory biomarkers and evaluate the correlation between inflammatory biomarkers and pathological grade of glioma. Methods The study included 208 patients with primary glioma who underwent glioma resection from February 2012 to November 2019 at Harbin Medical University Cancer Hospital. Complete blood count (CBC) was collected at 3 time points: one week before surgery, and 24 hours and one week after surgery. Patients were divided into high-dose and low-dose groups, based on the median value of intraoperative opioid dose. The relationships between perioperative NLR, LMR and intraoperative opioid dosage were analyzed using repeated measurement analysis of variance (ANOVA). Correlations between preoperative various factors and pathological grade were analyzed by Spearman analysis. Receiver operating characteristic (ROC) curves were performed to assess the predictive performance of the NLR and LMR for pathological grade. Results The NLR (P=0.020) and lower LMR (P=0.037) were statistically significant different between high-dose and low-dose groups one week after surgery. The area under the curve (AUC) of the NLR to identify poor diagnosis was 0.685, which was superior to the LMR (AUC: 0.607) and indicated a correlation between the NLR with pathological grade. The preoperative NLR (P=0.000), LMR (P=0.009), age (P=0.000) and tumor size (P=0.001) exhibited a significant correlation with the pathological grade of glioma. Conclusion Intraoperative opioids in the high-dose group were associated with higher NLR and lower LMR in postoperative glioma patients. The preoperative NLR and LMR demonstrated predictive value for distinguishing between high-grade and low-grade gliomas.
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Affiliation(s)
- Xuejiao Liu
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
| | - Lei Teng
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
| | - Junzhu Dai
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
| | - Hongxue Shao
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
| | - Rui Chen
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
| | - Haixiang Li
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
| | - Jing Li
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
| | - Huichao Zou
- Department of Pain Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, People’s Republic of China
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Chen R, Luo R, Xu Y, Ou J, Li X, Yang Y, Cao L, Wu Z, Luo W, Liu H. Second-Order Motion-Compensated Echo-Planar Cardiac Diffusion-Weighted MRI: Usefulness of Compressed Sensitivity Encoding. J Magn Reson Imaging 2024. [PMID: 38587265 DOI: 10.1002/jmri.29383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 03/23/2024] [Accepted: 03/25/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Cardiac diffusion-weighted imaging (DWI) using second-order motion-compensated spin echo (M2C) can provide noninvasive in-vivo microstructural assessment, but limited by relatively low signal-to-noise ratio (SNR). Echo-planar imaging (EPI) with compressed sensitivity encoding (EPICS) could address these issues. PURPOSE To combine M2C DWI and EPCIS (M2C EPICS DWI), and compare image quality for M2C DWI. STUDY TYPE Prospective. POPULATION Ten ex-vivo hearts, 10 healthy volunteers (females, 5 [50%]; mean ± SD of age, 25 ± 4 years), and 12 patients with diseased hearts (female, 1 [8.3%]; mean ± SD of age, 44 ± 16 years; including coronary artery heart disease, congenital heart disease, dilated cardiomyopathy, amyloidosis, and myocarditis). FIELD STRENGTH/SEQUENCE 3-T, M2C EPICS DWI, and M2C DWI. ASSESSMENT The apparent SNR (aSNR) and the rating scores were used to evaluate and compared image quality of all three groups. The aSNR was calculated usingaSNR = Mean intensity myocardium / Standard deviation myocardium $$ \mathrm{aSNR}={\mathrm{Mean}\ \mathrm{intensity}}_{\mathrm{myocardium}}/{\mathrm{Standard}\ \mathrm{deviation}}_{\mathrm{myocardium}} $$ , and the myocardium was segmented manually. Three observers independently rated subjective image quality using a 5-point Likert scale. STATISTICAL TESTS Bland-Altman analysis and paired t-tests. The threshold for statistical significance was set at P < 0.05. RESULTS In healthy volunteers, the aSNR with a b-value of 450 s/mm2 acquired by M2C EPICS DWI was significantly higher than M2C DWI at in-plane resolutions of 3.0 × 3.0, 2.5 × 2.5, and 2.0 × 2.0 mm2. In patients with diseased hearts, the aSNR ofM2C EPICS DWI was also significantly higher than that for M2C DWI (bias of M2C EPICS-M2C = 1.999, 95% limits of agreement, 0.362 to 3.636; mean ± SD, 7.80 ± 1.37 vs. 5.80 ± 0.81). The ADC values of M2C EPICS was significantly higher than M2C DWI in in-vivo hearts. Over 80% of the images with rating scores for M2C EPICS DWI were higher than M2C DWI in in-vivo hearts. DATA CONCLUSION Cardiac imaging by M2C EPICS DWI may demonstrate better overall image quality and higher aSNR than M2C DWI. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Rui Chen
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Ruohong Luo
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yongzhou Xu
- Department of MSC Clinical & Technical Solutions, Philips Healthcare, Shenzhen, China
| | - Jiehao Ou
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaodan Li
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yuelong Yang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Liqi Cao
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Zhigang Wu
- Department of MSC Clinical & Technical Solutions, Philips Healthcare, Shenzhen, China
| | - Wei Luo
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Hui Liu
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
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Wang M, Chen T, Chen R, Bi Z, Peng J, Shao Q, Li J. Neonatal jaundice caused by compound mutations of SLC10A1 and a novel UGT1A1 gene. Clin Res Hepatol Gastroenterol 2024; 48:102340. [PMID: 38588793 DOI: 10.1016/j.clinre.2024.102340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/10/2024]
Affiliation(s)
- Meifen Wang
- Department of Infectious Diseases, Kunming Children's Hospital, The Affiliated Children's Hospital of Kunming Medical University; Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, PR China
| | - Tao Chen
- Department of Stomatology, The Affiliated Hospital of Yunnan Normal University, Kunming, PR China
| | - Rui Chen
- Department of Infectious Diseases, Kunming Children's Hospital, The Affiliated Children's Hospital of Kunming Medical University; Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, PR China
| | - Zhongrui Bi
- Department of Infectious Diseases, Kunming Children's Hospital, The Affiliated Children's Hospital of Kunming Medical University; Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, PR China
| | - Junchao Peng
- Department of Infectious Diseases, Kunming Children's Hospital, The Affiliated Children's Hospital of Kunming Medical University; Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, PR China
| | - Qi Shao
- Department of Infectious Diseases, Kunming Children's Hospital, The Affiliated Children's Hospital of Kunming Medical University; Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, PR China
| | - Jiwei Li
- Department of Pathology, Kunming Children's Hospital, The Affiliated Children's Hospital of Kunming Medical University; Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, PR China.
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Nie L, Zhao J, Pan L, Pang M, Wang J, Zhou Y, Chen R, Liu H, Xu X, Su B, Kong F. Erratum: Addendum: Validation of the digital health literacy assessment among the university students in China. Front Public Health 2024; 12:1388818. [PMID: 38645441 PMCID: PMC11032011 DOI: 10.3389/fpubh.2024.1388818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/20/2024] [Indexed: 04/23/2024] Open
Abstract
[This corrects the article DOI: 10.3389/fpubh.2023.1294183.].
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Affiliation(s)
- Limei Nie
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Jiajia Zhao
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Lutong Pan
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Mingli Pang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Jieru Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Yue Zhou
- Department of Mathematics, College of Art and Science, New York University, New York City, NY, United States
| | - Rui Chen
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Hui Liu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Xixing Xu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Baochen Su
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
| | - Fanlei Kong
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Institute of Health and Elderly Care, Shandong University, Jinan, China
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Wan J, Ding J, Zhang X, Hu X, Chen R, Han S. Exploration of the Amino Acid Metabolic Profiling and Pathway in Clonorchis sinensis-Infected Rats Revealed by the Targeted Metabolomic Analysis. Vector Borne Zoonotic Dis 2024. [PMID: 38574253 DOI: 10.1089/vbz.2023.0059] [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] [Indexed: 04/06/2024] Open
Abstract
Background: Clonorchiasis remains a serious public health problem. However, the molecular mechanism underlying clonorchiasis remains largely unknown. Amino acid (AA) metabolism plays key roles in protein synthesis and energy sources, and improves immunity in pathological conditions. Therefore, this study aimed to explore the AA profiles of spleen in clonorchiasis and speculate the interaction between the host and parasite. Methods: Here targeted ultrahigh performance liquid chromatography multiple reaction monitoring mass spectrometry was applied to discover the AA profiles in spleen of rats infected with Clonorchis sinensis. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis (KEGG) was performed to characterize the dysregulated metabolic pathways. Results: Pathway analysis revealed that phenylalanine, tyrosine, and tryptophan biosynthesis and β-alanine metabolism were significantly altered in clonorchiasis. There were no significant correlations between 14 significant differential AAs and interleukin (IL)-1β. Although arginine, asparagine, histidine, lysine, methionine, phenylalanine, proline, serine, threonine, tryptophan, tyrosine, and valine were positively correlated with IL-6, IL-10, tumor necrosis factor (TNF)-α as well as aspartate aminotransferase and alanine aminotransferase; β-alanine and 4-hydroxyproline were negatively correlated with IL-6, IL-10, and TNF-α. Conclusion: This study reveals the dysregulation of AA metabolism in clonorchiasis and provides a useful insight of metabolic mechanisms at the molecular level.
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Affiliation(s)
- Jie Wan
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Jiangnan University Medical Center, Wuxi, China
| | - Jian Ding
- Department of Parasitology, Harbin Medical University, Harbin, China
| | - Xiaoli Zhang
- Department of Parasitology, Harbin Medical University, Harbin, China
| | - Xinyi Hu
- Department of Parasitology, Harbin Medical University, Harbin, China
| | - Rui Chen
- Jiangnan University Medical Center, Wuxi, China
| | - Su Han
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Jiangnan University Medical Center, Wuxi, China
- Department of Parasitology, Harbin Medical University, Harbin, China
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Yebra M, Scortechini G, Adeline K, Aktepe N, Almoustafa T, Bar-Massada A, Beget ME, Boer M, Bradstock R, Brown T, Castro FX, Chen R, Chuvieco E, Danson M, Değirmenci CÜ, Delgado-Dávila R, Dennison P, Di Bella C, Domenech O, Féret JB, Forsyth G, Gabriel E, Gagkas Z, Gharbi F, Granda E, Griebel A, He B, Jolly M, Kotzur I, Kraaij T, Kristina A, Kütküt P, Limousin JM, Martín MP, Monteiro AT, Morais M, Moreira B, Mouillot F, Msweli S, Nolan RH, Pellizzaro G, Qi Y, Quan X, Resco de Dios V, Roberts D, Tavşanoğlu Ç, Taylor AFS, Taylor J, Tüfekcioğlu İ, Ventura A, Younes Cardenas N. Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research. Sci Data 2024; 11:332. [PMID: 38575621 PMCID: PMC10995118 DOI: 10.1038/s41597-024-03159-6] [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: 12/15/2023] [Accepted: 03/18/2024] [Indexed: 04/06/2024] Open
Abstract
Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, Globe-LFMC 2.0 incorporates over 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within the dataset provides essential information, including date, geographical coordinates, plant species, functional type, and, where available, topographical details. Moreover, the dataset encompasses insights into the sampling and weighing procedures, as well as information about land cover type and meteorological conditions at the time and location of each sampling event. Globe-LFMC 2.0 can facilitate advanced LFMC research, supporting studies on wildfire behaviour, physiological traits, ecological dynamics, and land surface modelling, whether remote sensing-based or otherwise. This dataset represents a valuable resource for researchers exploring the diverse LFMC aspects, contributing to the broader field of environmental and ecological research.
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Affiliation(s)
- Marta Yebra
- Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia.
- School of Engineering, Australian National University, Canberra, ACT, Australia.
| | - Gianluca Scortechini
- Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia
| | - Karine Adeline
- ONERA / DOTA, Université de Toulouse, F-31055, Toulouse, France
| | - Nursema Aktepe
- Department of Biology, Kastamonu University, Kastamonu, Türkiye
| | - Turkia Almoustafa
- School of Environment and Life Sciences, University of Salford, Salford, UK
- Faculty of Arts and Humanities, Geography Department, Tishreen University, Tishreen, Syria
| | - Avi Bar-Massada
- Department of Biology and Environment, University of Haifa at Oranim, Kiryat Tivon, 36066, Israel
| | | | - Matthias Boer
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | | | - Tegan Brown
- US Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, 59803, MT, USA
| | - Francesc Xavier Castro
- Servei de Prevenció d'Incendis Forestals (Generalitat de Catalunya), Santa Perpètua de Mogoda, Barcelona, Spain
| | - Rui Chen
- School of Resources and Environment, University of Electronic Science and Technology of China, Sichuan, China
| | - Emilio Chuvieco
- Department of Geology, Geography and the Environment, University of Alcalá, Colegios 2, 28801, Alcalá de Henares, Spain
| | - Mark Danson
- School of Environment and Life Sciences, University of Salford, Salford, UK
| | - Cihan Ünal Değirmenci
- Division of Ecology, Department of Biology, Hacettepe University, Beytepe, Ankara, Türkiye
| | - Ruth Delgado-Dávila
- Joint Research Unit CTFC - AGROTECNIO, Crta. de St. Llorenç de Morunys, km 2, E, 25280, Solsona, Spain
- Department of Evolutionary and Environmental Biology, University of Haifa, Haifa, Israel
| | - Philip Dennison
- Department of Geography, University of Utah, Salt Lake City, Utah, USA
| | - Carlos Di Bella
- IFEVA-CONICET, Faculty of Agronomy, University of Buenos Aires, Buenos Aires, Argentina
| | - Oriol Domenech
- Centre Forestal de les Illes Balears (CEFOR-Menut), Forest Management Service (Government of the Balearic Islands), Palma de Mallorca, Spain
| | | | | | - Eva Gabriel
- Servei de Prevenció d'Incendis Forestals (Generalitat de Catalunya), Santa Perpètua de Mogoda, Barcelona, Spain
| | - Zisis Gagkas
- Environmental and Biochemical Sciences Department, The James Hutton Institute, Aberdeen, UK
| | - Fatma Gharbi
- Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Elena Granda
- Departamento de Ciencias de la Vida, Universidad de Alcalá, Alcalá de Henares, Spain
| | - Anne Griebel
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
- School of Life Sciences, University of Technology Sydney, PO Box 123 Broadway, Ultimo, NSW, 2007, Australia
| | - Binbin He
- School of Resources and Environment, University of Electronic Science and Technology of China, Sichuan, China
| | - Matt Jolly
- RMRS, Missoula Fire Sciences Laboratory, USFS, Rocky Mountain Research Station, 5775 Hwy 10 W Missoula, Missoula, MT, 59808, USA
| | - Ivan Kotzur
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - Tineke Kraaij
- Nelson Mandela University, School of Natural Resource Management, George, South Africa
| | | | - Pınar Kütküt
- Division of Ecology, Department of Biology, Hacettepe University, Beytepe, Ankara, Türkiye
| | | | - M Pilar Martín
- Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), IEGD, Spanish National Research Council (CSIC), Madrid, Spain
| | - Antonio T Monteiro
- Centro de Estudos Geográficos (CEG) and Laboratório Associado TERRA, Instituto de Geografia e Ordenamento do Território (IGOT), Universidade de Lisboa, Rua Edmée Marques, 1600-276, Lisboa, Portugal
- Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche (CNR-IGG), Via Moruzzi 2, 56124, Pisa, Italy
| | - Marco Morais
- Department of Geography, University of California, Santa Barbara, USA
| | - Bruno Moreira
- Department of Ecology and Global Change. Centro de Investigaciones sobre Desertificación (CIDE-CSIC/UV/GV). Carretera Moncada-Náquera km 4, 5 s/n, E-46113, Moncada, Valencia, Spain
| | - Florent Mouillot
- IRD, CEFE/CNRS, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France
| | - Samukelisiwe Msweli
- Natural Resource Science and Management Cluster, Nelson Mandela University, George, South Africa
| | - Rachael H Nolan
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - Grazia Pellizzaro
- Istituto per la Bioeconomia, Consiglio Nazionale delle Ricerche, (CNR-IBE), Traversa La Crucca 3, 07100, Sassari, Italy
| | - Yi Qi
- University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- University of Southern California, Los Angeles, California, USA
| | - Xingwen Quan
- School of Resources and Environment, University of Electronic Science and Technology of China, Sichuan, China
| | | | - Dar Roberts
- Department of Geography, University of California, Santa Barbara, USA
| | - Çağatay Tavşanoğlu
- Division of Ecology, Department of Biology, Hacettepe University, Beytepe, Ankara, Türkiye
| | - Andy F S Taylor
- Ecological Sciences Department. The James Hutton Institute, Aberdeen, UK
| | - Jackson Taylor
- Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia
| | - İrem Tüfekcioğlu
- Division of Ecology, Department of Biology, Hacettepe University, Beytepe, Ankara, Türkiye
| | - Andrea Ventura
- Istituto per la Bioeconomia, Consiglio Nazionale delle Ricerche, (CNR-IBE), Traversa La Crucca 3, 07100, Sassari, Italy
| | - Nicolas Younes Cardenas
- Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia
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Xiao Y, Ma J, Chen R, Xiang S, Yang B, Chen L, Fang J, Liu S. Two microbes assisting Miscanthus floridulus in remediating multi-metal(loid)s-contaminated soil. Environ Sci Pollut Res Int 2024:10.1007/s11356-024-33032-3. [PMID: 38565816 DOI: 10.1007/s11356-024-33032-3] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024]
Abstract
Miscanthus has good tolerance to multi-metal(loid)s and has received increasing attention in remediated studies of metal(loid)s-contaminated soil. In this study, we conducted phytoextraction techniques to investigate the synergic effects of remediation of multi-metal(loid)s-contaminated soil by Miscanthus floridulus (Lab.) and two plant growth-promoting bacteria (PGPB), TS8 and MR2, affiliated to Enterobacteriaceae. The results exhibited a decrease of arsenic (15.27-21.50%), cadmium (8.64-15.52%), plumbum (5.92-12.76%), and zinc (12.84-24.20%) except for copper contents in the soil in bacterial inoculation groups, indicating that MR2 and TS8 could enhance the remediation of metal(loid)s. Moreover, increased fresh/dry weight and height indicated that inoculated bacteria could promote Miscanthus growth. Although the activities of antioxidant enzymes and the content of chlorophyll in the overground tissues showed no significant increase or even decrease, the activities of antioxidant enzymes in the underground tissues and soil were elevated by 48.95-354.17%, available P by 19.07-23.02%, and available K by 15.34-17.79% (p < 0.05). Bacterial inoculants could also decrease the soil pH. High-throughput sequencing analysis showed that the bacterial inoculant affected the rhizosphere bacterial community and reduced community diversity, but the relative abundance of some PGPB was found to increase. Phylogenetic molecular ecological networks indicated that bacterial inoculants reduced interactions between rhizosphere bacteria and thereby led to a simpler network structure but increased the proportion of positive-correlation links and enhanced the metabiosis and symbiosis of those bacteria. Spearman's test showed that OTUs affiliated with Enterobacteriaceae and soil nutrients were critical for metal(loid) remediation and Miscanthus growth. The results of this study provide a basis for the synergic remediation of multi-metal(loid)s-contaminated soils by Miscanthus and PGPB and provide a reference for the subsequent regulation of Miscanthus remediation efficiency by the other PGPB or critical bacteria.
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Affiliation(s)
- Yunhua Xiao
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
| | - Jingjing Ma
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
| | - Rui Chen
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
| | - Sha Xiang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
| | - Bo Yang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
| | - Liang Chen
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
| | - Jun Fang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
| | - Shuming Liu
- School of Resources and Environment, Yili Normal University, Yining, 835000, China.
- Key Laboratory of Pollutant Chemistry and Environmental Treatment, Yili Normal University, Yining, 835000, China.
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Yang H, Li X, Meng Q, Sun H, Wu S, Hu W, Liu G, Li X, Yang Y, Chen R. Correction: CircPTK2 (hsa_circ_0005273) as a novel therapeutic target for metastatic colorectal cancer. Mol Cancer 2024; 23:69. [PMID: 38566109 PMCID: PMC10985971 DOI: 10.1186/s12943-024-01983-3] [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: 04/04/2024] Open
Affiliation(s)
- Hongbao Yang
- State Key Laboratory of Natural Medicines, Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, 211198, China
| | - Xiaobo Li
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Qingtao Meng
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Hao Sun
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Shenshen Wu
- School of Public Health, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, People's Republic of China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Weiwei Hu
- State Key Laboratory of Natural Medicines, Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, 211198, China
| | - Guilai Liu
- State Key Laboratory of Natural Medicines, Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, 211198, China
| | - Xianjing Li
- State Key Laboratory of Natural Medicines, Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, 211198, China
| | - Yong Yang
- State Key Laboratory of Natural Medicines, Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, 211198, China.
- School of Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, Jiangsu, China.
| | - Rui Chen
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China.
- School of Public Health, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, People's Republic of China.
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China.
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Zhu L, Lai Y, Ta N, Cheng L, Chen R. Multimodal Approach in the Diagnosis of Urologic Malignancies: Critical Assessment of ChatGPT-4V's Image-Reading Capabilities. JCO Clin Cancer Inform 2024; 8:e2300275. [PMID: 38593386 DOI: 10.1200/cci.23.00275] [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: 12/31/2023] [Revised: 02/02/2024] [Accepted: 02/08/2024] [Indexed: 04/11/2024] Open
Abstract
ChatGPT-4V model with image interpretation tested for distinguishing kidney & prostate tumors from normal tissue.
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Affiliation(s)
- Lingxuan Zhu
- Lingxuan Zhu, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Yancheng Lai, MD, The First Clinical Medical School, Southern Medical University, Guangdong, China; Na Ta, MD, Department of Pathology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China; Liang Cheng, MD, Department of Pathology and Laboratory Medicine, Department of Surgery (Urology), Brown University Warren Alpert Medical School, Lifespan Health, and the Legorreta Cancer Center at Brown University, Providence, RI; and Rui Chen, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yancheng Lai
- Lingxuan Zhu, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Yancheng Lai, MD, The First Clinical Medical School, Southern Medical University, Guangdong, China; Na Ta, MD, Department of Pathology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China; Liang Cheng, MD, Department of Pathology and Laboratory Medicine, Department of Surgery (Urology), Brown University Warren Alpert Medical School, Lifespan Health, and the Legorreta Cancer Center at Brown University, Providence, RI; and Rui Chen, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Ta
- Lingxuan Zhu, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Yancheng Lai, MD, The First Clinical Medical School, Southern Medical University, Guangdong, China; Na Ta, MD, Department of Pathology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China; Liang Cheng, MD, Department of Pathology and Laboratory Medicine, Department of Surgery (Urology), Brown University Warren Alpert Medical School, Lifespan Health, and the Legorreta Cancer Center at Brown University, Providence, RI; and Rui Chen, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Cheng
- Lingxuan Zhu, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Yancheng Lai, MD, The First Clinical Medical School, Southern Medical University, Guangdong, China; Na Ta, MD, Department of Pathology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China; Liang Cheng, MD, Department of Pathology and Laboratory Medicine, Department of Surgery (Urology), Brown University Warren Alpert Medical School, Lifespan Health, and the Legorreta Cancer Center at Brown University, Providence, RI; and Rui Chen, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Chen
- Lingxuan Zhu, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Yancheng Lai, MD, The First Clinical Medical School, Southern Medical University, Guangdong, China; Na Ta, MD, Department of Pathology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China; Liang Cheng, MD, Department of Pathology and Laboratory Medicine, Department of Surgery (Urology), Brown University Warren Alpert Medical School, Lifespan Health, and the Legorreta Cancer Center at Brown University, Providence, RI; and Rui Chen, MD, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Tian Y, Lin Y, Qu C, Arndt V, Baurley JW, Berndt SI, Bien SA, Bishop DT, Brenner H, Buchanan DD, Budiarto A, Campbell PT, Carreras-Torres R, Casey G, Chan AT, Chen R, Chen X, Conti DV, Díez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gunter MJ, Harlid S, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Joshi AD, Keku TO, Kawaguchi E, Kim AE, Kundaje A, Larsson SC, Marchand LL, Lewinger JP, Li L, Moreno V, Morrison J, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez EA, Sakoda LC, Schoen RE, Shcherbina A, Stern MC, Su YR, Thibodeau SN, Thomas DC, Tsilidis KK, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, White E, Wolk A, Woods MO, Wu AH, Peters U, Gauderman WJ, Hsu L, Chang-Claude J. Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk. Br J Cancer 2024:10.1038/s41416-024-02638-2. [PMID: 38561434 DOI: 10.1038/s41416-024-02638-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Menopausal hormone therapy (MHT), a common treatment to relieve symptoms of menopause, is associated with a lower risk of colorectal cancer (CRC). To inform CRC risk prediction and MHT risk-benefit assessment, we aimed to evaluate the joint association of a polygenic risk score (PRS) for CRC and MHT on CRC risk. METHODS We used data from 28,486 postmenopausal women (11,519 cases and 16,967 controls) of European descent. A PRS based on 141 CRC-associated genetic variants was modeled as a categorical variable in quartiles. Multiplicative interaction between PRS and MHT use was evaluated using logistic regression. Additive interaction was measured using the relative excess risk due to interaction (RERI). 30-year cumulative risks of CRC for 50-year-old women according to MHT use and PRS were calculated. RESULTS The reduction in odds ratios by MHT use was larger in women within the highest quartile of PRS compared to that in women within the lowest quartile of PRS (p-value = 2.7 × 10-8). At the highest quartile of PRS, the 30-year CRC risk was statistically significantly lower for women taking any MHT than for women not taking any MHT, 3.7% (3.3%-4.0%) vs 6.1% (5.7%-6.5%) (difference 2.4%, P-value = 1.83 × 10-14); these differences were also statistically significant but smaller in magnitude in the lowest PRS quartile, 1.6% (1.4%-1.8%) vs 2.2% (1.9%-2.4%) (difference 0.6%, P-value = 1.01 × 10-3), indicating 4 times greater reduction in absolute risk associated with any MHT use in the highest compared to the lowest quartile of genetic CRC risk. CONCLUSIONS MHT use has a greater impact on the reduction of CRC risk for women at higher genetic risk. These findings have implications for the development of risk prediction models for CRC and potentially for the consideration of genetic information in the risk-benefit assessment of MHT use.
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Affiliation(s)
- Yu Tian
- School of Public Health, Capital Medical University, Beijing, China
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- BioRealm LLC, Walnut, CA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute Dr Josep Trueta (IDIBGI), Salt, 17190, Girona, Spain
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Rui Chen
- School of Public Health, Capital Medical University, Beijing, China
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Virginia Díez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Kristina M Jordahl
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Amit D Joshi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Eric Kawaguchi
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Andre E Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | | | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain
| | - John Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Hongmei Nan
- Department of Global Health, Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, Indianapolis, IN, USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura'a University, Mecca, Saudi Arabia
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Tokyo Medical and Dental University (Institute of Science Tokyo), Tokyo, Japan
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Hochschule Hannover, University of Applied Sciences and Arts, Department III: Media, Information and Design, Hannover, Germany
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Andrew J Pellatt
- Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Edward A Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Anna Shcherbina
- Biomedical Informatics Program, Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA
| | - Mariana C Stern
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | | | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, NL, Canada
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Biostatistics, University of Washington, Seattle, WA, USA.
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- University Cancer Centre Hamburg (UCCH), University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
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Lin R, Lv S, Lou W, Wang X, Xie Z, Zeng S, Chen R, Gao W, Jiang T, Cheng KWE, Lam KH, Gong X. In-vivo assessment of a rat rectal tumor using optical-resolution photoacoustic endoscopy. Biomed Opt Express 2024; 15:2251-2261. [PMID: 38633094 PMCID: PMC11019702 DOI: 10.1364/boe.518204] [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] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/14/2024] [Accepted: 02/26/2024] [Indexed: 04/19/2024]
Abstract
Optical-resolution photoacoustic endoscopy (OR-PAE) has been proven to realize imaging on the vascular network in the gastrointestinal (GI) tract with high sensitivity and spatial resolution, providing morphological information. Various photoacoustic endoscopic catheters were developed to improve the resolution and adaptivity of in-vivo imaging. However, this technology has not yet been validated on in-vivo GI tumors, which generally feature angiogenesis. The tumor causes thickened mucosa and neoplasia, requiring large depth-of-field (DOF) in imaging, which contradicts to high-resolution imaging. In this work, a novel catheter was developed with a high resolution of ∼27 µm, providing a matched DOF of ∼400 µm to cover the vessels up to the submucosa layer. Optical-resolution photoacoustic endoscopic imaging was first performed on in-vivo rat rectal tumors. In addition, to further characterize the vessel morphology, tumor-suspected regions and normal regions were selected for quantification and analysis of vessel dimension distribution and tortuosity. All the results suggest that the OR-PAE has great application potential in tumor diagnosis, evaluation, and monitoring of therapeutic efficacy.
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Affiliation(s)
- Riqiang Lin
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
- Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, China
| | - Shengmiao Lv
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
- Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
| | - Wenjing Lou
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiatian Wang
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
- Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
| | - Zhihua Xie
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
- Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
| | - Silue Zeng
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
| | - Rui Chen
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
| | - Wen Gao
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
| | - Tianan Jiang
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ka-Wai Eric Cheng
- Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, China
| | - Kwok-Ho Lam
- Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, China
- Centre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Xiaojing Gong
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
- Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China
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Tang R, Xie Z, Ruan X, Zhang Z, Ren M, Wu J, Shu K, Shi H, Xie M, Lv S, Yang X, Chen R, Yu Q. Changes in menopausal symptoms comparing oral estradiol versus transdermal estradiol. Climacteric 2024; 27:171-177. [PMID: 37942806 DOI: 10.1080/13697137.2023.2273530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/04/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE This study aimed to compare the efficacy and safety of oral and transdermal estradiol in alleviating menopausal symptoms. METHOD A total of 257 recently menopausal women were randomized into two groups. The t-E2 group received transdermal estradiol (2.5 g per day) (n = 128) and the o-E2V group received oral estradiol valerate (2 mg per day) (n = 129) for 24 weeks; both groups received micronized progesterone (200 mg per day). The primary outcome measure is the change in the modified Kupperman Menopausal Index (KMI) after 24 weeks of treatment. Menopausal symptoms were recorded at screening and at 4, 12 and 24 weeks using both the KMI and the Menopause Rating Scale (MRS). RESULTS Significant amelioration was observed by KMI and MRS scores for both groups after treatment (p < 0.001). The mean KMI scores showed no difference between the two groups. The mean MRS scores were similar between the two groups at baseline and after 4 weeks of treatment. The results showed statistical differences after 12 weeks and 24 weeks of treatment (p = 0.005 and p = 0.011). Both the after-treatment scores minus the baseline scores of KMI and MRS and the incidence of adverse effects showed no difference between the two groups. CONCLUSIONS This study shows that both transdermal and oral estradiol are effective in relieving menopausal symptoms, with little difference in treatment efficacy and safety. CLINICAL TRIAL NUMBER ChiCTR2300073146.
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Affiliation(s)
- R Tang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Z Xie
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Ruan
- Beijing Obstetrics and Gynaecology Hospital, Capital Medical University, Beijing, China
| | - Z Zhang
- Hangzhou Obstetrics and Gynecology Hospital, Hangzhou, China
| | - M Ren
- Zhongda Hospital affiliated to Southeast University, Nanjing, China
| | - J Wu
- Jiangsu Province Hospital, Jiangsu, China
| | - K Shu
- Jiangxi Maternal and Child Health Hospital, Jiangxi, China
| | - H Shi
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - M Xie
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - S Lv
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - X Yang
- Peking University People's Hospital, Beijing, China
| | - R Chen
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Q Yu
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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43
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Zhu L, Mou W, Xie J, Luo P, Chen R. What is the best approach to assessing generative AI in medicine? Resuscitation 2024; 197:110164. [PMID: 38447908 DOI: 10.1016/j.resuscitation.2024.110164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/08/2024]
Affiliation(s)
- Lingxuan Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China; Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiarui Xie
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Rui Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China.
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44
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Chen R, Liu N, Ren Y, Cui T. Transcriptomic and biochemical analysis of metabolic remodeling in Bacillus subtilis MSC4 under Benzo[a]pyrene stress. Chemosphere 2024; 353:141637. [PMID: 38462177 DOI: 10.1016/j.chemosphere.2024.141637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/25/2024] [Accepted: 03/01/2024] [Indexed: 03/12/2024]
Abstract
Polyaromatic benzo[a]pyrene (B[a]P) is a toxic carcinogenic environmental pollutant, and the use of microorganisms to remediate B[a]P contamination is considered to be one of the most effective strategies. However, there is still a gap in studying the metabolic remodeling of microorganisms under B[a]P stress. In this study, our systematically investigated the effects of B[a]P on the metabolism of Bacillus subtilis MSC4 based on transcriptomic, molecular and biochemical analyses. The results showed that in response to B[a]P stress, MSC4 formed more biofilm matrix and endospores, the structure of the endospores also was changed, which led to a reduction in their resistance and made them more difficult to germinate. In addition to an increase in glycolysis activity, the activities of tricarboxylic acid cycle, pentose phosphate pathway and the electron transport chain were decreased. B[a]P stress forced MSC4 to strengthen arginine synthesis, urea cycle, and urea decomposition, meanwhile, synthesize more ribonucleotides. The activity of DNA replication, transcription activities and the expression of multiple ribosomal protein genes were reduced. Moreover, all of the reported enzymes involved in B[a]P degradation showed decreased transcript abundance, and the degradation of B[a]P caused significant up-regulation of the gene expression of the acid inducible enzyme OxdC and the synthesis of acetoin. In addition, the cytotoxicity of B[a]P to bacteria was directly displayed in four aspects: increased intracellular level of reactive oxygen species (ROS), elevated cell membrane permeability, up-regulation of the cell envelope stress-sensing two-component system LiaRS, and downregulation of siderophores biosynthesis. Finally, B[a]P also caused morphological changes in the cells, with some cells exhibiting significant deformation and concavity. These findings provide effective research directions for targeted improvement the cellular activity of B[a]P-degrading strains, and is beneficial for further application of microorganisms to remediate B[a]P -contaminated soils.
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Affiliation(s)
- Rui Chen
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China; Guangdong Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou, 510006, PR China
| | - Na Liu
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China; Guangdong Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou, 510006, PR China
| | - Yuan Ren
- School of Environment and Energy, South China University of Technology, Guangzhou, 510006, PR China
| | - Tangbing Cui
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China; Guangdong Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou, 510006, PR China.
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45
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Zhang T, Su F, Wang B, Liu L, Lu Y, Su H, Ling R, Yue P, Dai H, Yang T, Yang J, Chen R, Wu R, Zhu K, Zhao D, Hou X. Ubiquitin specific peptidase 38 epigenetically regulates KLF transcription factor 5 to augment malignant progression of lung adenocarcinoma. Oncogene 2024; 43:1190-1202. [PMID: 38409551 DOI: 10.1038/s41388-024-02985-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 02/12/2024] [Accepted: 02/15/2024] [Indexed: 02/28/2024]
Abstract
Protein ubiquitination is a common post-translational modification and a critical mechanism for regulating protein stability. This study aimed to explore the role and potential molecular mechanism of ubiquitin-specific peptidase 38 (USP38) in the progression of lung adenocarcinoma (LUAD). USP38 expression was significantly higher in patients with LUAD than in their counterparts, and higher USP38 expression was closely associated with a worse prognosis. USP38 silencing suppresses the proliferation of LUAD cells in vitro and impedes the tumorigenic activity of cells in xenograft mouse models in vivo. Further, we found that USP38 affected the protein stability of transcription factor Krüppel-like factors 5 (KLF5) by inhibiting its degradation. Subsequent mechanistic investigations showed that the N-terminal of USP38 (residues 1-400aa) interacted with residues 1-200aa of KLF5, thereby stabilizing the KLF5 protein by deubiquitination. Moreover, we found that PIAS1-mediated SUMOylation of USP38 was promoted, whereas SENP2-mediated de-SUMOylation of USP38 suppressed the deubiquitination effects of USP38 on KLF5. Additionally, our results demonstrated that KLF5 overexpression restored the suppression of the malignant properties of LUAD cells by USP38 knockdown. SUMOylation of USP38 enhances the deubiquitination and stability of KLF5, thereby augmenting the malignant progression of LUAD.
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Affiliation(s)
- Tao Zhang
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Fei Su
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China.
| | - Bofang Wang
- The second clinical medical college of Lanzhou University, Lanzhou, Gansu, PR China
| | - Lixin Liu
- Department of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Yongbin Lu
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Hongxin Su
- Department of Radiotherapy, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Ruijiang Ling
- Department of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Peng Yue
- Department of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Huanyu Dai
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Tianning Yang
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Jingru Yang
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Rui Chen
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China
| | - Ruiyue Wu
- The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, PR China
| | - Kaili Zhu
- The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, PR China
| | - Da Zhao
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China.
| | - Xiaoming Hou
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, PR China.
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Aggarwal A, Singh TK, Pham M, Godwin M, Chen R, McIntyre TM, Scalise A, Chung MK, Jennings C, Ali M, Park H, Englund K, Khorana AA, Svensson LG, Kapadia S, McCrae KR, Cameron SJ. Dysregulated platelet function in patients with postacute sequelae of COVID-19. Vasc Med 2024; 29:125-134. [PMID: 38334067 DOI: 10.1177/1358863x231224383] [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] [Indexed: 02/10/2024]
Abstract
BACKGROUND Postacute sequelae of COVID-19 (PASC), also referred to as "Long COVID", sometimes follows COVID-19, a disease caused by SARS-CoV-2. Although SARS-CoV-2 is well known to promote a prothrombotic state, less is known about the thrombosis risk in PASC. Our objective was to evaluate platelet function and thrombotic potential in patients following recovery from SARS-CoV-2, but with clear symptoms of patients with PASC. METHODS patients with PASC and matched healthy controls were enrolled in the study on average 15 months after documented SARS-CoV-2 infection. Platelet activation was evaluated by light transmission aggregometry (LTA) and flow cytometry in response to platelet surface receptor agonists. Thrombosis in platelet-deplete plasma was evaluated by Factor Xa activity. A microfluidics system assessed thrombosis in whole blood under shear stress conditions. RESULTS A mild increase in platelet aggregation in patients with PASC through the thromboxane receptor was observed, and platelet activation through the glycoprotein VI (GPVI) receptor was decreased in patients with PASC compared to age- and sex-matched healthy controls. Thrombosis under shear conditions as well as Factor Xa activity were reduced in patients with PASC. Plasma from patients with PASC was an extremely potent activator of washed, healthy platelets - a phenomenon not observed when stimulating healthy platelets after incubation with plasma from healthy individuals. CONCLUSIONS patients with PASC show dysregulated responses in platelets and coagulation in plasma, likely caused by a circulating molecule that promotes thrombosis. A hitherto undescribed protective response appears to exist in patients with PASC to counterbalance ongoing thrombosis that is common to SARS-CoV-2 infection.
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Affiliation(s)
- Anu Aggarwal
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Tamanna K Singh
- Section of Vascular Medicine, Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Michael Pham
- Section of Vascular Medicine, Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Matthew Godwin
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Rui Chen
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Thomas M McIntyre
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Alliefair Scalise
- Section of Vascular Medicine, Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Mina K Chung
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
- Section of Vascular Medicine, Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Courtney Jennings
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Mariya Ali
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Hiijun Park
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Kristin Englund
- Department of Infectious Disease, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Alok A Khorana
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Lars G Svensson
- Department of Cardiac Surgery, Heart Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Samir Kapadia
- Section of Vascular Medicine, Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Keith R McCrae
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
- Section of Vascular Medicine, Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Scott J Cameron
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
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47
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Wilkinson AN, Chen R, Coleborn E, Neilson T, Le K, Bhavsar C, Wang Y, Atluri S, Irgam G, Wong K, Yang D, Steptoe R, Wu SY. Let-7i enhances anti-tumour immunity and suppresses ovarian tumour growth. Cancer Immunol Immunother 2024; 73:80. [PMID: 38554167 PMCID: PMC10981620 DOI: 10.1007/s00262-024-03674-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/08/2024] [Indexed: 04/01/2024]
Abstract
Cancer immunotherapy has seen significant success in the last decade for cancer management by enhancing endogenous cancer immunity. However, immunotherapies developed thus far have seen limited success in the majority of high-grade serous carcinoma (HGSC) ovarian cancer patients. This is largely due to the highly immunosuppressive tumour microenvironment of HGSC and late-stage identification. Thus, novel treatment interventions are needed to overcome this immunosuppression and complement existing immunotherapies. Here, we have identified through analysis of > 600 human HGSC tumours a critical role for Let-7i in modulating the tumoural immune network. Tumoural expression of Let-7i had high positive correlation with anti-cancer immune signatures in HGSC patients. Confirming this role, enforced Let-7i expression in murine HGSC tumours resulted in a significant decrease in tumour burden with a significant increase in tumour T cell numbers in tumours. In concert with the improved tumoural immunity, Let-7i treatment also significantly increased CD86 expression in antigen presenting cells (APCs) in the draining lymph nodes, indicating enhanced APC activity. Collectively, our findings highlight an important role of Let-7i in anti-tumour immunity and its potential use for inducing an anti-tumour effect in HGSC.
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Affiliation(s)
- Andrew N Wilkinson
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Rui Chen
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Elaina Coleborn
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Trent Neilson
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Khang Le
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Chintan Bhavsar
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Yue Wang
- Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Sharat Atluri
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Gowri Irgam
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Kiefer Wong
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Da Yang
- Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Raymond Steptoe
- Frazer Institute, University of Queensland, Brisbane, QLD, 4102, Australia
| | - Sherry Y Wu
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia.
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48
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Weng Y, Chen R, Hui Y, Chen D, Zhao CX. Boosting Enzyme Activity in Enzyme Metal-Organic Framework Composites. Chem Bio Eng 2024; 1:99-112. [PMID: 38566967 PMCID: PMC10983012 DOI: 10.1021/cbe.3c00091] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/31/2024] [Indexed: 04/04/2024]
Abstract
Enzymes, as highly efficient biocatalysts, excel in catalyzing diverse reactions with exceptional activity and selective properties under mild conditions. Nonetheless, their broad applications are hindered by their inherent fragility, including low thermal stability, limited pH tolerance, and sensitivity to organic solvents and denaturants. Encapsulating enzymes within metal-organic frameworks (MOFs) can protect them from denaturation in these harsh environments. However, this often leads to a compromised enzyme activity. In recent years, extensive research efforts have been dedicated to enhancing enzymatic activity within MOFs, leading to the development of new enzyme-MOF composites that not only preserve their catalytic potential but also outperform their free counterparts. This Review provides a comprehensive review on recent developments in enzyme-MOF composites with a specific emphasis on their enhanced enzymatic activity compared to free enzymes.
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Affiliation(s)
- Yilun Weng
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Rui Chen
- School
of Chemical Engineering, The University
of Adelaide, Adelaide, SA 5005, Australia
| | - Yue Hui
- School
of Chemical Engineering, The University
of Adelaide, Adelaide, SA 5005, Australia
| | - Dong Chen
- State
Key Laboratory of Clean Energy Utilization, College of Energy Engineering, Zhejiang University, Hangzhou 310003, China
| | - Chun-Xia Zhao
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD 4072, Australia
- School
of Chemical Engineering, The University
of Adelaide, Adelaide, SA 5005, Australia
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49
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Chen R, Xu J, Wang B, Ding Y, Abdulla A, Li Y, Jiang L, Ding X. SpiDe-Sr: blind super-resolution network for precise cell segmentation and clustering in spatial proteomics imaging. Nat Commun 2024; 15:2708. [PMID: 38548720 PMCID: PMC10978886 DOI: 10.1038/s41467-024-46989-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 03/15/2024] [Indexed: 04/01/2024] Open
Abstract
Spatial proteomics elucidates cellular biochemical changes with unprecedented topological level. Imaging mass cytometry (IMC) is a high-dimensional single-cell resolution platform for targeted spatial proteomics. However, the precision of subsequent clinical analysis is constrained by imaging noise and resolution. Here, we propose SpiDe-Sr, a super-resolution network embedded with a denoising module for IMC spatial resolution enhancement. SpiDe-Sr effectively resists noise and improves resolution by 4 times. We demonstrate SpiDe-Sr respectively with cells, mouse and human tissues, resulting 18.95%/27.27%/21.16% increase in peak signal-to-noise ratio and 15.95%/31.63%/15.52% increase in cell extraction accuracy. We further apply SpiDe-Sr to study the tumor microenvironment of a 20-patient clinical breast cancer cohort with 269,556 single cells, and discover the invasion of Gram-negative bacteria is positively correlated with carcinogenesis markers and negatively correlated with immunological markers. Additionally, SpiDe-Sr is also compatible with fluorescence microscopy imaging, suggesting SpiDe-Sr an alternative tool for microscopy image super-resolution.
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Grants
- This work was supported by National Key R&D Program of China (2022YFC2601700, 2022YFF0710202) and NSFC Projects (T2122002, 22077079, 81871448), Shanghai Municipal Science and Technology Project(22Z510202478), Shanghai Municipal Education Commission Project(21SG10), Shanghai Jiao Tong University Projects (YG2021ZD19, Agri-X20200101, 2020 SJTU-HUJI), Shanghai Municipal Health Commission Project (2019CXJQ03). Thanks for AEMD SJTU, Shanghai Jiao Tong University Laboratory Animal Center for the supporting.
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Affiliation(s)
- Rui Chen
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- State Key Laboratory of Systems Medicine for Cancer, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiasu Xu
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- State Key Laboratory of Systems Medicine for Cancer, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Boqian Wang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- State Key Laboratory of Systems Medicine for Cancer, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Ding
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- State Key Laboratory of Systems Medicine for Cancer, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Aynur Abdulla
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yiyang Li
- State Key Laboratory of Systems Medicine for Cancer, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lai Jiang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xianting Ding
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
- State Key Laboratory of Systems Medicine for Cancer, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, China.
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50
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Qiu S, Zhang Q, Hu J, Wang L, Chen R, Cao Y, Liu F, Yu Z, Zhao C, Zhang L, Ren W, Xin S, Chen Y, Duan Z, Han T. Impact of Onset Time, Number, Type, and Sequence of Extrahepatic Organ Failure on Prognosis of Acute-on-chronic Liver Failure. J Clin Transl Hepatol 2024; 12:257-265. [PMID: 38426199 PMCID: PMC10899869 DOI: 10.14218/jcth.2023.00379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/02/2023] [Accepted: 12/18/2023] [Indexed: 03/02/2024] Open
Abstract
Background and Aims The impact of the characteristics of extrahepatic organ failure (EHOF) including the onset time, number, type, and sequence on the prognosis of acute-on-chronic liver failure (ACLF) patients remains unknown. This study aimed to identify the association between the characteristics of EHOF and the prognosis of ACLF patients. Methods ACLF subjects enrolled at six hospitals in China were included in the analysis. The risk of mortality based on the characteristics of EHOF was evaluated. Survival of study groups was compared by Kaplan-Meier analysis and log-rank tests. Results A total of 736 patients with ACLF were included. EHOF was observed in 402 patients (54.6%), of which 295 (73.4%) developed single EHOF (SEHOF) and 107 (26.6%) developed multiple EHOF (MEHOF). The most commonly observed EHOF was coagulation failure (47.0%), followed by renal (13.0%), brain (4.9%), respiratory (4.3%), and circulatory (2.3%) failure. Survival analysis found that MEHOF or SEHOF patients with brain failure had a worse prognosis. However, no significant outcome was found in the analysis of the effect of onset time and sequence of failed organs on prognosis. Patients were further divided into three risk subgroups by the EHOF characteristics. Kaplan-Meier analysis showed that risk stratification resulted in the differentiation of patients with different risks of mortality both in the training and validation cohorts. Conclusions The mortality of ACLF patients was determined by the number and type, but not the onset time and sequence of EHOF. Risk stratification applicable to clinical practice was established.
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Affiliation(s)
- Shaotian Qiu
- The School of Medicine, Nankai University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center Affiliated to Nankai University, Tianjin, China
| | - Qian Zhang
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center, Tianjin, China
- Tianjin Medical University, Tianjin, China
| | - Jiaxuan Hu
- The School of Medicine, Nankai University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center Affiliated to Nankai University, Tianjin, China
| | - Lewei Wang
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center of Tianjin Medical University, Tianjin, China
| | - Rui Chen
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center of Tianjin Medical University, Tianjin, China
| | - Yingying Cao
- Department of Hepatology and Gastroenterology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
| | - Fang Liu
- Department of Hepatology and Gastroenterology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
| | - Zhenjun Yu
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center, Tianjin, China
| | - Caiyan Zhao
- Department of Infectious Disease, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Liaoyun Zhang
- Department of Infection Disease, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wanhua Ren
- Infectious Department of Shandong First Medical University Affiliated Shandong Provincial Hospital, Jinan, Shandong, China
| | - Shaojie Xin
- Liver Failure Treatment and Research Center, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yu Chen
- Liver Disease Center (Difficult & Complicated Liver Diseases and Artificial Liver Center), Beijing You’an Hospital Affiliated to Capital Medical University, Beijing, China
| | - Zhongping Duan
- Liver Disease Center (Difficult & Complicated Liver Diseases and Artificial Liver Center), Beijing You’an Hospital Affiliated to Capital Medical University, Beijing, China
| | - Tao Han
- The School of Medicine, Nankai University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center Affiliated to Nankai University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center, Tianjin, China
- Tianjin Medical University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center of Tianjin Medical University, Tianjin, China
- Department of Hepatology and Gastroenterology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
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