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Wong CK, Lau YM, Lui HW, Chan WF, San WC, Zhou M, Cheng Y, Huang D, Lai WH, Lau YM, Siu CW. Automatic detection of cardiac conditions from photos of electrocardiogram captured by smartphones. Heart 2024:heartjnl-2023-323822. [PMID: 38768982 DOI: 10.1136/heartjnl-2023-323822] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 05/02/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit installation of new algorithms. OBJECTIVE To develop a smartphone application that automatically extract ECG waveforms from photos and to convert them to voltage-time series for downstream analysis by a variety of diagnostic algorithms built by researchers. METHODS A novel approach of using objective detection and image segmentation models to automatically extract ECG waveforms from photos taken by clinicians was devised. Modular machine learning models were developed to sequentially perform waveform identification, gridline removal, and scale calibration. The extracted data were then analysed using a machine learning-based cardiac rhythm classifier. RESULTS Waveforms from 40 516 scanned and 444 photographed ECGs were automatically extracted. 12 828 of 13 258 (96.8%) scanned and 5399 of 5743 (94.0%) photographed waveforms were correctly cropped and labelled. 11 604 of 12 735 (91.1%) scanned and 5062 of 5752 (88.0%) photographed waveforms achieved successful voltage-time signal extraction after automatic gridline and background noise removal. In a proof-of-concept demonstration, an atrial fibrillation diagnostic algorithm achieved 91.3% sensitivity, 94.2% specificity, 95.6% positive predictive value, 88.6% negative predictive value and 93.4% F1 score, using photos of ECGs as input. CONCLUSION Object detection and image segmentation models allow automatic extraction of ECG signals from photos for downstream diagnostics. This novel pipeline circumvents the need for costly ECG hardware upgrades, thereby paving the way for large-scale implementation of machine learning-based diagnostic algorithms.
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Affiliation(s)
- Chun-Ka Wong
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yuk Ming Lau
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Hin Wai Lui
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Wai Fung Chan
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Wing Chun San
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Mi Zhou
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yangyang Cheng
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Duo Huang
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Wing Hon Lai
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yee Man Lau
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chung Wah Siu
- Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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Zhao F, Zhao J, Wei K, Jiang P, Shi Y, Chang C, Zheng Y, Shan Y, Li Y, He B, Zhou M, Liu J, Li L, Guo S, He D. Targeted siRNA Therapy for Psoriasis: Translating Preclinical Potential into Clinical Treatments. Immunotargets Ther 2024; 13:259-271. [PMID: 38770264 PMCID: PMC11104385 DOI: 10.2147/itt.s458800] [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: 01/25/2024] [Accepted: 05/07/2024] [Indexed: 05/22/2024] Open
Abstract
Psoriasis is a chronic inflammatory skin disease characterized by the excessive proliferation of keratinocytes and heightened immune activation. Targeting pathogenic genes through small interfering RNA (siRNA) therapy represents a promising strategy for the treatment of psoriasis. This mini-review provides a comprehensive summary of siRNA research targeting the pathogenesis of psoriasis, covering aspects such as keratinocyte function, inflammatory cell roles, preclinical animal studies, and siRNA delivery mechanisms. It details recent advancements in RNA interference that modulate key factors including keratinocyte proliferation (Fibroblast Growth Factor Receptor 2, FGFR2), apoptosis (Interferon Alpha Inducible Protein 6, G1P3), differentiation (Grainyhead Like Transcription Factor 2, GRHL2), and angiogenesis (Vascular Endothelial Growth Factor, VEGF); immune cell infiltration and inflammation (Tumor Necrosis Factor-Alpha, TNF-α; Interleukin-17, IL-17); and signaling pathways (JAK-STAT, Nuclear Factor Kappa B, NF-κB) that govern immunopathology. Despite significant advances in siRNA-targeted treatments for psoriasis, several challenges persist. Continued scientific developments promise the creation of more effective and safer siRNA medications, potentially enhancing the quality of life for psoriasis patients and revolutionizing treatments for other diseases. This article focuses on the most recent research advancements in targeting the pathogenesis of psoriasis with siRNA and explores its future therapeutic prospects.
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Affiliation(s)
- Fuyu Zhao
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Jianan Zhao
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Kai Wei
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Ping Jiang
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Yiming Shi
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Cen Chang
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Yixin Zheng
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Yu Shan
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Yunshen Li
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Bingheng He
- Department of Rehabilitation, Tongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Mi Zhou
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Jia Liu
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Li Li
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Shicheng Guo
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
| | - Dongyi He
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China
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Zhou M, Bao D, Huang H, Chen M, Jiang W. Utilization of diffusion-weighted derived mathematical models to predict prognostic factors of resectable rectal cancer. Abdom Radiol (NY) 2024:10.1007/s00261-024-04239-2. [PMID: 38744701 DOI: 10.1007/s00261-024-04239-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/05/2024] [Accepted: 02/05/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE This study explored models of monoexponential diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), stretched exponential (SEM), fractional-order calculus (FROC), and continuous-time random-walk (CTRW) as diagnostic tools for assessing pathological prognostic factors in patients with resectable rectal cancer (RRC). METHODS RRC patients who underwent radical surgery were included. The apparent diffusion coefficient (ADC), the mean kurtosis (MK) and mean diffusion (MD) from the DKI model, the distributed diffusion coefficient (DDC) and α from the SEM model, D, β and u from the FROC model, and D, α and β from the CTRW model were assessed. RESULTS There were a total of 181 patients. The area under the receiver operating characteristic (ROC) curve (AUC) of CTRW-α for predicting histology type was significantly higher than that of FROC-u (0.780 vs. 0.671, p = 0.043). The AUC of CTRW-α for predicting pT stage was significantly higher than that of FROC-u and ADC (0.786 vs.0.683, p = 0.043; 0.786 vs. 0.682, p = 0.030), the difference in predictive efficacy of FROC-u between ADC and MK was not statistically significant [0.683 vs. 0.682, p = 0.981; 0.683 vs. 0.703, p = 0.720]; the difference between the predictive efficacy of MK and ADC was not statistically significant (p = 0.696). The AUC of CTRW (α + β) (0.781) was significantly higher than that of FROC-u (0.781 vs. 0.625, p = 0.003) in predicting pN stage but not significantly different from that of MK (p = 0.108). CONCLUSION The CTRW and DKI models may serve as imaging biomarkers to predict pathological prognostic factors in RRC patients before surgery.
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Affiliation(s)
- Mi Zhou
- Department of Radiology, Sichuan Provincial Orthopedic Hospital, Chengdu, China.
| | - Deying Bao
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Hongyun Huang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Meining Chen
- Department of MR Scientific Marketing, Siemens Healthineers, Shanghai, 200135, China
| | - Wenli Jiang
- Department of Radiology, Second Affiliated Hospital of Chongqing University of Medical Sciences, Chongqing, 400010, China
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Zhou M, Jiang X, Kong Y, Liu X. Misdiagnosis Diagnosis of Pneumocystis Pneumonia as Chemical Pneumonitis. Infect Drug Resist 2024; 17:1763-1769. [PMID: 38736434 PMCID: PMC11088391 DOI: 10.2147/idr.s460141] [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: 01/17/2024] [Accepted: 04/18/2024] [Indexed: 05/14/2024] Open
Abstract
Background Auxiliaries, a mixed chemicals, for printing and dyeing characterized by their diverse range and complex chemical compositions are commonly utilized in the textile industry. These chemicals can lead to environmental contamination and pose health risks to humans. Case Description A 29-year-old man who worked in a printing and dyeing factory in Suzhou, China, reported having tightness in his chest and coughing. Despite seeking medical treatment at several hospitals, the initial diagnosis remained elusive. High-resolution chest CT scans showed multifocal lesions in both lungs. The patient had no significant medical history, and the respiratory symptoms only surfaced after exposure to dyeing auxiliaries. Physicians initially suspected chemical pneumonitis due to occupational exposure. However, a subsequent evaluation at a hospital specializing in occupational diseases led to a diagnosis of AIDS and pneumocystis pneumonia. Conclusion This case underscores the importance of comprehensive clinical diagnosis to avoid biases and reduce the incidence of misdiagnosis.
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Affiliation(s)
- Mi Zhou
- Department of Occupational Disease, The Fifth People’s Hospital of Suzhou, Jiangsu, 215100, People’s Republic of China
| | - Xinyu Jiang
- Department of Occupational Disease, The Fifth People’s Hospital of Suzhou, Jiangsu, 215100, People’s Republic of China
| | - Yulin Kong
- Department of Occupational Disease, The Fifth People’s Hospital of Suzhou, Jiangsu, 215100, People’s Republic of China
| | - Xiaolin Liu
- Department of Occupational Disease, The Fifth People’s Hospital of Suzhou, Jiangsu, 215100, People’s Republic of China
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Zhou M, Stobbe R, Szczepankiewicz F, Budde M, Buck B, Kate M, Lloret M, Fairall P, Butcher K, Shuaib A, Emery D, Nilsson M, Westin CF, Beaulieu C. Tensor-valued diffusion MRI of human acute stroke. Magn Reson Med 2024; 91:2126-2141. [PMID: 38156813 DOI: 10.1002/mrm.29975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/18/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE Tensor-valued diffusion encoding can disentangle orientation dispersion and subvoxel anisotropy, potentially offering insight into microstructural changes after cerebral ischemia. The purpose was to evaluate tensor-valued diffusion MRI in human acute ischemic stroke, assess potential confounders from diffusion time dependencies, and compare to Monte Carlo diffusion simulations of axon beading. METHODS Linear (LTE) and spherical (STE) b-tensor encoding with inherently different effective diffusion times were acquired in 21 acute ischemic stroke patients between 3 and 57 h post-onset at 3 T in 2.5 min. In an additional 10 patients, STE with 2 LTE yielding different effective diffusion times were acquired for comparison. Diffusional variance decomposition (DIVIDE) was used to estimate microscopic anisotropy (μFA), as well as anisotropic, isotropic, and total diffusional variance (MKA , MKI , MKT ). DIVIDE parameters, and diffusion tensor imaging (DTI)-derived mean diffusivity and fractional anisotropy (FA) were compared in lesion versus contralateral white matter. Monte Carlo diffusion simulations of various cylindrical geometries for all b-tensor protocols were used to interpret parameter measurements. RESULTS MD was ˜40% lower in lesions for all LTE/STE protocols. The DIVIDE parameters varied with effective diffusion time: higher μFA and MKA in lesion versus contralateral white matter for STE with longer effective diffusion time LTE, whereas the shorter effective diffusion time LTE protocol yielded lower μFA and MKA in lesions. Both protocols, regardless of diffusion time, were consistent with simulations of greater beading amplitude and intracellular volume fraction. CONCLUSION DIVIDE parameters depend on diffusion time in acute stroke but consistently indicate neurite beading and larger intracellular volume fraction.
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Affiliation(s)
- Mi Zhou
- Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Robert Stobbe
- Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
- Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada
| | | | - Matthew Budde
- Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Brian Buck
- Neurology, University of Alberta, Edmonton, Alberta, Canada
| | - Mahesh Kate
- Neurology, University of Alberta, Edmonton, Alberta, Canada
| | - Mar Lloret
- Neurology, University of Alberta, Edmonton, Alberta, Canada
| | - Paige Fairall
- Neurology, University of Alberta, Edmonton, Alberta, Canada
| | - Ken Butcher
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ashfaq Shuaib
- Neurology, University of Alberta, Edmonton, Alberta, Canada
| | - Derek Emery
- Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada
| | - Markus Nilsson
- Clinical Sciences Lund, Lund University, Lund, Scania, Sweden
| | - Carl-Fredrik Westin
- Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Beaulieu
- Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
- Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada
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Liu A, Zhuang Z, Li J, Wang Q, Liu S, Fang H, Huang T, Zhou M. Burden and trend of dietary risk-related colorectal cancer in China and its provinces: findings from the Global Burden of Disease Study 2019. Public Health 2024; 230:21-28. [PMID: 38484622 DOI: 10.1016/j.puhe.2023.11.038] [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: 11/16/2023] [Accepted: 11/27/2023] [Indexed: 04/16/2024]
Abstract
OBJECTIVES The objective of this experiment was to evaluate the spatial pattern and temporal trend of colorectal cancer (CRC) burden attributed to dietary risk factors in China from 1990 to 2019 using data from the Global Burden of Diseases, Injuries, and Risk Factors study (GBD) 2019. METHODS Numbers and age-standardised rates of deaths, disability-adjusted life years (DALYs) and corresponding average annual percentage change (AAPC) were determined. The joinpoint regression analysis was used to assess the temporal trends of CRC deaths and DALYs from 1990 to 2019. RESULTS In China, the number of diet-attributable CRC deaths and DALYs in 2019 were 90.41 (95% uncertainty interval: 65.69, 114.67) and 2234.06 (1609.96, 2831.24) per-1000 population, marking 2.05% and 1.68% annual increases since 1990, respectively. The region with the highest increase in age-standardised rates (ASRs) of diet-related CRC deaths and DALYs was in Taiwan with an AAPC of 2.00% (1.51, 2.48), whereas the highest decline in ASRs of CRC deaths and DALYs was observed in Hong Kong with an AAPC of -0.63% (-0.90, -0.35) (all P < 0.05). Nationally, men suffered higher CRC deaths and DALY burdens attributable to dietary risks than did women. Regarding the specific diet group, diets low in calcium, milk, and whole grains contributed to CRC deaths and DALYs the most. CONCLUSIONS Diet is an important contributor to increasing CRC burden in China. Necessary measures should be taken to kerb the growing burden attributed to dietary factors, particularly in males and in regions with middle Socio-demographic Index or lower.
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Affiliation(s)
- A Liu
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Z Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - J Li
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Q Wang
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - S Liu
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - H Fang
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - T Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China.
| | - M Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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Li Y, Fu W, Xiang J, Ren Y, Li Y, Zhou M, Yu J, Luo Z, Liu E, Fu Z, Liu B, Ding F. Long-chain acyl-CoA synthetase 4-mediated mitochondrial fatty acid metabolism and dendritic cell antigen presentation. Inflamm Res 2024; 73:819-839. [PMID: 38472395 DOI: 10.1007/s00011-024-01868-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
OBJECTIVE This study aims to investigate the role of Acyl-CoA synthetase 4 (ACSL4) in mediating mitochondrial fatty acid metabolism and dendritic cell (DC) antigen presentation in the immune response associated with asthma. METHODS RNA sequencing was employed to identify key genes associated with mitochondrial function and fatty acid metabolism in DCs. ELISA was employed to assess the levels of fatty acid metabolism in DCs. Mitochondrial morphology was evaluated using laser confocal microscopy, structured illumination microscopy, and transmission electron microscopy. Flow cytometry and immunofluorescence were utilized to detect changes in mitochondrial superoxide generation in DCs, followed by immunofluorescence co-localization analysis of ACSL4 and the mitochondrial marker protein COXIV. Subsequently, pathological changes and immune responses in mouse lung tissue were observed. ELISA was conducted to measure the levels of fatty acid metabolism in lung tissue DCs. qRT-PCR and western blotting were employed to respectively assess the expression levels of mitochondrial-associated genes (ATP5F1A, VDAC1, COXIV, TFAM, iNOS) and proteins (ATP5F1A, VDAC1, COXIV, TOMM20, iNOS) in lung tissue DCs. Flow cytometry was utilized to analyze changes in the expression of surface antigens presented by DCs in lung tissue, specifically the MHCII molecule and the co-stimulatory molecules CD80/86. RESULTS The sequencing results reveal that ACSL4 is a crucial gene regulating mitochondrial function and fatty acid metabolism in DCs. Inhibiting ACSL4 reduces the levels of fatty acid oxidases in DCs, increases arachidonic acid levels, and decreases A-CoA synthesis. Simultaneously, ACSL4 inhibition leads to an increase in mitochondrial superoxide production (MitoSOX) in DCs, causing mitochondrial rupture, vacuolization, and sparse mitochondrial cristae. In mice, ACSL4 inhibition exacerbates pulmonary pathological changes and immune responses, reducing the fatty acid metabolism levels within lung tissue DCs and the expression of mitochondria-associated genes and proteins. This inhibition induces an increase in the expression of MHCII antigen presentation molecules and co-stimulatory molecules CD80/86 in DCs. CONCLUSIONS The research findings indicate that ACSL4-mediated mitochondrial fatty acid metabolism and dendritic cell antigen presentation play a crucial regulatory role in the immune response of asthma. This discovery holds promise for enhancing our understanding of the mechanisms underlying asthma pathogenesis and potentially identifying novel targets for its prevention and treatment.
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Affiliation(s)
- Yan Li
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Wenlong Fu
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - JinYing Xiang
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Yinying Ren
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Yuehan Li
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Mi Zhou
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Jinyue Yu
- Bristol Medical School, University of Bristol, Bristol, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Zhengxiu Luo
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Enmei Liu
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Zhou Fu
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China
| | - Bo Liu
- Department of Cardiothoracic Surgery, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China.
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China.
| | - Fengxia Ding
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2 Road, Yuzhong Dis, Chongqing, 400014, People's Republic of China.
- Chongqing Key Laboratory of Pediatrics, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing Medical University, Chongqing, People's Republic of China.
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Zhang Y, Yao Y, Tao L, Du T, Jia B, Zhou M, Zhang Z. Comparison of the efficacy and safety of warfarin anticoagulation and left atrial appendage transcatheter occlusion in the treatment of non-valvular atrial fibrillation and investigation of ET-1, hs-CRP and PDGFs. Cell Mol Biol (Noisy-le-grand) 2024; 70:225-230. [PMID: 38678600 DOI: 10.14715/cmb/2024.70.4.35] [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: 01/18/2024] [Indexed: 05/01/2024]
Abstract
This study compared the therapeutic effect and safety between warfarin anticoagulation and percutaneous left atrial appendage transcatheter occlusion (PLAATO) in non-valvular atrial fibrillation (NVAF). A total of 110 patients were selected and assigned to Control group (n=55) and Observation group (n=55). The control patients were used warfarin, while the observation patients were performed PLAATO. The coagulation function, stroke and bleeding scores were compared between the two groups at different times. Left ventricular function before therapy and 1 year after therapy and adverse events during follow-up were compared between the two groups. After one month of treatment, CHA2DS2-VASC, HAS-BLED score, serum ET-1 and hs-CRP levels were lower in the PLAATO patients than in warfarin patients, but serum PDGFs levels were higher than patients in the warfarin patients (P < 0.05). One month after treatment, the activated partial thromboplastin time (APTT), prothrombin time (PT), and thrombin time (TT) of the PLAATO patients was longer than that of the warfarin patients (P < 0.05), but the levels of fibrinogen (FIB) in the PLAATO patients were lower than that of the warfarin patients (P < 0.05). In addition, one year after therapy, the left atrial end-diastolic volume (LAEDV), left atrial end-systolic volume (LAESV) and left atrial inner diameter of the two groups were significantly reduced (P < 0.05). Left atrial appendage (LAA) occlusion can effectively improve the cardiac function and coagulation function of NVAF patients, with lower incidence of bleeding events, stroke events and higher safety.
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Affiliation(s)
- Yujie Zhang
- The Second People's Hospital, Lanzhou, Gansu 730000, PR China.
| | - Yali Yao
- The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, PR China.
| | - Ling Tao
- The Second People's Hospital, Lanzhou, Gansu 730000, PR China.
| | - Tao Du
- The Second People's Hospital, Lanzhou, Gansu 730000, PR China.
| | - Binbin Jia
- The Second People's Hospital, Lanzhou, Gansu 730000, PR China.
| | - Mi Zhou
- The Second People's Hospital, Lanzhou, Gansu 730000, PR China.
| | - Zhen Zhang
- The Second People's Hospital, Lanzhou, Gansu 730000, PR China.
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Xiang J, Liu B, Li Y, Ren Y, Li Y, Zhou M, Yu J, Luo Z, Liu E, Fu Z, Ding F. TFEB regulates dendritic cell antigen presentation to modulate immune balance in asthma. Respir Res 2024; 25:182. [PMID: 38664707 PMCID: PMC11046778 DOI: 10.1186/s12931-024-02806-1] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
OBJECTIVE Asthma stands as one of the most prevalent chronic respiratory conditions in children, with its pathogenesis tied to the actived antigen presentation by dendritic cells (DCs) and the imbalance within T cell subgroups. This study seeks to investigate the role of the transcription factor EB (TFEB) in modulating the antigen presentation process of DCs and its impact on the differentiation of T cell subgroups. METHODS Bone marrow dendritic cells (BMDCs) were activated using house dust mites (HDM) and underwent RNA sequencing (RNA-seq) to pinpoint differentially expressed genes. TFEB mRNA expression levels were assessed in the peripheral blood mononuclear cells (PBMCs) of both healthy children and those diagnosed with asthma. In an asthma mouse model induced by HDM, the TFEB expression in lung tissue DCs was evaluated. Further experiments involved LV-shTFEB BMDCs co-cultured with T cells to explore the influence of TFEB on DCs' antigen presentation, T cell subset differentiation, and cytokine production. RESULTS Transcriptomic sequencing identified TFEB as a significantly differentially expressed gene associated with immune system pathways and antigen presentation. Notably, TFEB expression showed a significant increase in the PBMCs of children diagnosed with asthma compared to healthy counterparts. Moreover, TFEB exhibited heightened expression in lung tissue DCs of HDM-induced asthmatic mice and HDM-stimulated BMDCs. Silencing TFEB resulted in the downregulation of MHC II, CD80, CD86, and CD40 on DCs. This action reinstated the equilibrium among Th1/Th2 and Th17/Treg cell subgroups, suppressed the expression of pro-inflammatory cytokines like IL-4, IL-5, IL-13, and IL-17, while augmenting the expression of the anti-inflammatory cytokine IL-10. CONCLUSION TFEB might have a vital role in asthma's development by impacting the antigen presentation of DCs, regulating T cell subgroup differentiation, and influencing cytokine secretion. Its involvement could be pivotal in rebalancing the immune system in asthma. These research findings could potentially unveil novel therapeutic avenues for treating asthma.
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Affiliation(s)
- JinYing Xiang
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Bo Liu
- Department of Cardiothoracic Surgery, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China.
| | - Yan Li
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Yinying Ren
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Yuehan Li
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Mi Zhou
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Jinyue Yu
- Bristol Medical School, University of Bristol, Bristol, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Zhengxiu Luo
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Enmei Liu
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Zhou Fu
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China
| | - Fengxia Ding
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong Dis, 400014, Chongqing, PR China.
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10
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Lu W, Liu S, Zhou M, Wang H, Liu G, Liu H, Ma Y. Observation of Iron with Eight Coordination in Iron Trifluoride under High Pressure. Angew Chem Int Ed Engl 2024; 63:e202319320. [PMID: 38238261 DOI: 10.1002/anie.202319320] [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: 12/14/2023] [Indexed: 04/10/2024]
Abstract
The chemistry of hypercoordination has been a subject of fundamental interest, especially for understanding structures that challenge conventional wisdom. The small ionic radii of Fe ions typically result in coordination numbers of 4 or 6 in stable Fe-bearing ionic compounds. While 8-coordinated Fe has been observed in highly compressed oxides, the pursuit of hypercoordinated Fe still faces significant challenges due to the complexity of synthesizing the anticipated compound with another suitable anion. Through first-principles simulation and advanced crystal structure prediction methods, we predict that an orthorhombic phase of FeF3 with exclusively 8-coordinated Fe is energetically stable above 18 GPa-a pressure more feasibly achieved compared to oxides. Inspired by this theoretical result, we conducted extensive experiments using a laser-heated diamond anvil cell technique to investigate the crystal structures of FeF3 at high-pressure conditions. We successfully synthesized the predicted orthorhombic phase of FeF3 at 46 GPa, as confirmed by in situ experimental X-ray diffraction data. This work establishes a new ionic compound featuring rare 8-coordinated Fe in a simple binary Fe-bearing system and paves the way for discovering Fe hypercoordination in similar systems.
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Affiliation(s)
- Wencheng Lu
- Key Laboratory of Material Simulation Methods & Software of Ministry of Education, College of Physics, Jilin University, Changchun, 130012, China
| | - Siyu Liu
- State key laboratory of superhard materials College of Physics, Jilin University, Changchun, 130012, China
| | - Mi Zhou
- Key Laboratory of Material Simulation Methods & Software of Ministry of Education, College of Physics, Jilin University, Changchun, 130012, China
| | - Hongbo Wang
- State key laboratory of superhard materials College of Physics, Jilin University, Changchun, 130012, China
| | - Guangtao Liu
- Key Laboratory of Material Simulation Methods & Software of Ministry of Education, College of Physics, Jilin University, Changchun, 130012, China
| | - Hanyu Liu
- Key Laboratory of Material Simulation Methods & Software of Ministry of Education, College of Physics, Jilin University, Changchun, 130012, China
- State key laboratory of superhard materials College of Physics, Jilin University, Changchun, 130012, China
- International Center of Future Science, Jilin University, Changchun, 130012, China
| | - Yanming Ma
- Key Laboratory of Material Simulation Methods & Software of Ministry of Education, College of Physics, Jilin University, Changchun, 130012, China
- State key laboratory of superhard materials College of Physics, Jilin University, Changchun, 130012, China
- International Center of Future Science, Jilin University, Changchun, 130012, China
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11
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Zhou M, Zhou W, Yang H, Cao L, Li M, Yin P, Zhou Y. Molecular Modeling of Shockwave-Mediated Blood-Brain Barrier Opening for Targeted Drug Delivery. ACS Appl Mater Interfaces 2024. [PMID: 38622933 DOI: 10.1021/acsami.4c00812] [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: 04/17/2024]
Abstract
Bubble-enhanced shock waves induce the transient opening of the blood-brain barrier (BBB) providing unique advantages for targeted drug delivery of brain tumor therapy, but little is known about the molecular details of this process. Based on our BBB model including 28 000 lipids and 280 tight junction proteins and coarse-grained dynamics simulations, we provided the molecular-level delivery mechanism of three typical drugs for the first time, including the lipophilic paclitaxel, hydrophilic gemcitabine, and siRNA encapsulated in liposome, across the BBB. The results show that the BBB is more difficult to be perforated by shock-induced jets than the human brain plasma membrane (PM), requiring higher shock wave speeds. For the pores formed, the BBB exhibits a greater ability to self-heal than PM. Hydrophobic paclitaxel can cross the BBB and be successfully absorbed, but the amount is only one-third of that of PM; however, the absorption of hydrophilic gemcitabine was almost negligible. Liposome-loaded siRNAs only stayed in the first layer of the BBB. The mechanism analysis shows that increasing the bubble size can promote drug absorption while reducing the risk of higher shock wave overpressure. An exponential function was proposed to describe the relation between bubble and overpressure, which can be extended to the experimental microbubble scale. The calculated overpressure is consistent with the experimental result. These molecular-scale details on shock-assisted BBB opening for targeted drug delivery would guide and assist experimental attempts to promote the application of this strategy in the clinical treatment of brain tumors.
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Affiliation(s)
- Mi Zhou
- Institute of Chemical Materials, Chinese Academy of Engineering and Physics, Mianyang 621900, China
- School of Materials Science & Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Wenyu Zhou
- Institute of Chemical Materials, Chinese Academy of Engineering and Physics, Mianyang 621900, China
| | - Hong Yang
- Institute of Chemical Materials, Chinese Academy of Engineering and Physics, Mianyang 621900, China
| | - Luoxia Cao
- Institute of Chemical Materials, Chinese Academy of Engineering and Physics, Mianyang 621900, China
| | - Ming Li
- Institute of Chemical Materials, Chinese Academy of Engineering and Physics, Mianyang 621900, China
| | - Ping Yin
- Institute of Chemical Materials, Chinese Academy of Engineering and Physics, Mianyang 621900, China
- School of Materials Science & Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Yang Zhou
- Institute of Chemical Materials, Chinese Academy of Engineering and Physics, Mianyang 621900, China
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12
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Zhou M, Li Z, Liu Y, Fang Y, Qin L, Yang W, Yan F, Zhao Q. Transapical intramyocardial septal microwave ablation in treatment of hypertrophic obstructive cardiomyopathy: 12-month outcomes of a swine model. J Cardiothorac Surg 2024; 19:205. [PMID: 38615019 PMCID: PMC11015544 DOI: 10.1186/s13019-024-02677-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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 03/23/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND To date, the extended Morrow procedure is considered the gold standard treatment for patients with obstructive hypertrophic cardiomyopathy who experience severe symptoms and are unresponsive to medication treatment. We therefore aimed to perform transapical intramyocardial septal microwave ablation to reduce the thickness of the interventricular septum myocardium in a minimally invasive method. METHODS Fourteen swine were divided to form either a microwave ablation group (n = 7) or a sham group (n = 7). In the microwave ablation group, a transapical microwave antenna was inserted into the septum to ablate each myocardial segment at 40 W for 1 min, while in the sham group, the same operation was performed but without power output. We used echocardiography, electrocardiogram, during the operation. And added computerized tomography, cardiac nuclear magnetic resonance during follow-up. RESULTS Segment hypokinesis was observed in all swine immediately following ablation. Compared with the sham group, the thickness of ablated segments in the ablation group decreased significantly 1 month post-operation (ablation group, 5.53 ± 1.00 mm vs. 8.03 ± 1.15 mm, respectively, P < 0.01; sham group, 8.40 ± 0.94 mm vs. 8.21 ± 1.09 mm, respectively, P = 0.081), and the outcome was still observed 1 year post-operation (ablation group, 3.36 ± 0.85 mm vs. 8.03 ± 1.15 mm, respectively, P < 0.01). No perforation of the septum was observed during the procedure or follow-up, and no heart failure or sudden cardiac death occurred during postoperative feeding. CONCLUSIONS Transapical intramyocardial septal microwave ablation can effectively and safely produce a large region of necrosis. This technique can potentially mimic surgical myectomy while avoiding cardiopulmonary bypass and median sternotomy in high-risk hypertrophic obstructive cardiomyopathy patients.
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Affiliation(s)
- Mi Zhou
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhaolong Li
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yun Liu
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuehua Fang
- Department of Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Le Qin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wenjie Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qiang Zhao
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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13
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Wang D, Li W, Zhou M, Ma J, Guo Y, Yuan J, He M, Zhang X, Chen W. Association of the triglyceride-glucose index variability with blood pressure and hypertension: a cohort study. QJM 2024; 117:277-282. [PMID: 37950450 DOI: 10.1093/qjmed/hcad252] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 10/16/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Several studies have indicated that the triglyceride-glucose index (TyG) index is associated with hypertension; however, evidence on the association of change in the TyG index with blood pressure and hypertension is limited. AIMS To assess the association of the TyG index with blood pressure and hypertension. DESIGN A cohort study. METHODS We included 17 977 individuals with a mean age of 60.5 years from the Dongfeng-Tongji cohort. The TyG index was calculated as ln [fasting triglyceride (mg/dl)×fasting glucose (mg/dl)/2]. Hypertension was defined as blood pressure ≥140/90 mmHg, self-reported current use of antihypertensive medication or self-reported physician diagnosis of hypertension. RESULTS In the longitudinal analyses, we found a linear dose-response relationship between changes in the TyG index and change in blood pressure. Each one-unit change in the TyG index was associated with a 1.93 (1.23-2.63) mmHg increase in systolic blood pressure (SBP) and a 1.78 (1.42-2.16) mmHg increase in diastolic blood pressure (DBP). During a median follow-up of 9.37 years, a total of 3594 individuals were newly diagnosed with hypertension. We also found a linear dose-response relationship between the TyG index and the incidence of hypertension. The hazard ratio (HR) of hypertension for each one-unit increase in the TyG index was 1.21 (1.13-1.29). In addition, the best cut-off point of TyG for predicting hypertension was 8.4797, with sensitivity, and specificity of 57.85% and 55.40%, respectively. CONCLUSIONS The TyG index had a positive dose-response relationship with blood pressure and could be used to predict the risk of hypertension.
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Affiliation(s)
- D Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - W Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, 999077, China
| | - M Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - J Ma
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Y Guo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - J Yuan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - M He
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - X Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - W Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
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Wang J, Zhou M, Zhou J, Xiao M, Huang L. Monozygotic Twins with MAGT1 Deficiency and Epstein-Barr virus-positive Classic Hodgkin Lymphoma Receiving anti-CD30 CAR T-cell Immunotherapy: A case Report. J Clin Immunol 2024; 44:91. [PMID: 38578340 PMCID: PMC10997540 DOI: 10.1007/s10875-024-01690-0] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 03/13/2024] [Indexed: 04/06/2024]
Affiliation(s)
- Jiachen Wang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, China
| | - Mi Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, China
| | - Jianfeng Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, China
| | - Min Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, China.
| | - Liang Huang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, China.
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Ren J, Yang T, Liu H, Ma P, Zhou M, Li J, Li T, Sun J, He W, Xu L, Dai SS, Liu YW. Metabotropic glutamate receptor 5 promotes blood-brain barrier recovery after traumatic brain injury. Exp Neurol 2024; 374:114691. [PMID: 38224942 DOI: 10.1016/j.expneurol.2024.114691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
Blood-brain barrier (BBB) impairment and glutamate release are two pathophysiological features of traumatic brain injury (TBI), contributing to secondary brain damage and neuroinflammation. However, our knowledge of BBB integrity damage and dysfunction are still limited due to the diverse and fluctuating expression of glutamate receptors after trauma. Here, we confirmed the downregulation of metabotropic glutamate receptor 5 (mGluR5) on microvascular endothelial cell within the acute phase of TBI, and the recovered mGluR5 levels on BBB was positively associated with blood perfusion and neurological recovery. In whole body mGluR5-knockout mice, BBB dysfunction and neurological deficiency were exacerbated after TBI compared with wild type mice. In terms of mechanism, the amino acid sequence 201-259 of cytoskeletal protein Alpha-actinin-1 (ACTN1) interacted with mGluR5, facilitating mGluR5 translocation from cytoplasmic compartment to plasma membrane in endothelial cells. Activation of plasma membrane mGluR5 triggers the PLC/PKCμ/c-Jun signaling pathway, leading to increased expression of the tight junction-actin cytoskeleton connecting protein zonula occludens-1 (ZO-1). Our findings uncover a novel mechanism mediated by membrane and cytoplasmic mGluR5 in endothelial cell integrity maintenance and repair, providing the potential therapeutic target for TBI treatment targeting at mGluR5 and mGluR5/ACTN1 complex in BBB.
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Affiliation(s)
- Jiakui Ren
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Teng Yang
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Heting Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Pengjiao Ma
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Mi Zhou
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Jiabo Li
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Tao Li
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Jianbin Sun
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Wenhui He
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China
| | - Lunshan Xu
- Department of Neurosurgery, Daping Hospital, Army Medical University, Chongqing 400042, China.
| | - Shuang-Shuang Dai
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China.
| | - Yang-Wuyue Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing 400038, China; Department of Neurosurgery, Daping Hospital, Army Medical University, Chongqing 400042, China.
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16
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Zhao Y, Jiang H, Xue L, Zhou M, Zhao X, Liu F, Jiang S, Huang J, Meng L. Exploring the safety profile of tremelimumab: an analysis of the FDA adverse event reporting system. Int J Clin Pharm 2024; 46:480-487. [PMID: 38245663 DOI: 10.1007/s11096-023-01678-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/19/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND Despite the approval of tremelimumab in 2022, there is a lack of pharmacovigilance studies investigating its safety profile in real-world settings using the FDA Adverse Event Reporting System (FAERS) database. AIM This pharmacovigilance study aimed to comprehensively explore the adverse events (AEs) associated with tremelimumab using data mining techniques on the FAERS database. METHOD The study utilized data from the FAERS database, covering the period from the first quarter of 2004 to the third quarter of 2022. Disproportionality analysis, the Benjamini Hochberg adjustment method and volcano plots were used to identify and evaluate AE signals associated with tremelimumab. RESULTS The study uncovered 233 AE cases associated with tremelimumab. Among these cases, pyrexia (n = 39), biliary tract infection (n = 23), and sepsis (n = 21) were the three main AEs associated with tremelimumab use. The study also investigated the system organ classes associated with tremelimumab-related AEs. The top three classes were gastrointestinal disorders (17.9%), infections and infestations (16.6%), and general disorders and administration site infections (11.2%). Several AEs were identified that were not listed on the drug label of tremelimumab. These AEs included pyrexia, biliary tract infection, sepsis, dyspnea, infusion site infection, hiccup, appendicitis, hypotension, dehydration, localised oedema, presyncope, superficial thrombophlebitis and thrombotic microangiopathy. CONCLUSION This pharmacovigilance study identified several potential adverse events signals related to tremelimumab including some adverse events not listed on the drug label. However, further basic and clinical research studies are needed to validate these results.
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Affiliation(s)
- Yibei Zhao
- The Key Laboratory of Biochemistry and Molecular Pharmacology, Department of Pharmacology, Chongqing Medical University, Chongqing, 400016, China
| | - Huiming Jiang
- Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Lifen Xue
- Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Mi Zhou
- Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaobing Zhao
- The Key Laboratory of Biochemistry and Molecular Pharmacology, Department of Pharmacology, Chongqing Medical University, Chongqing, 400016, China
| | - Fei Liu
- Department of Pharmacy, Shihezi People's Hospital, XingJiang, 832000, China
| | - SongJiang Jiang
- The People's Hospital of Qijiang District, Chongqing, 401420, China
| | - Jing Huang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Long Meng
- Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
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17
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Zhou M, Liu YWY, He YH, Zhang JY, Guo H, Wang H, Ren JK, Su YX, Yang T, Li JB, He WH, Ma PJ, Mi MT, Dai SS. FOXO1 reshapes neutrophils to aggravate acute brain damage and promote late depression after traumatic brain injury. Mil Med Res 2024; 11:20. [PMID: 38556884 PMCID: PMC10981823 DOI: 10.1186/s40779-024-00523-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 03/13/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Neutrophils are traditionally viewed as first responders but have a short onset of action in response to traumatic brain injury (TBI). However, the heterogeneity, multifunctionality, and time-dependent modulation of brain damage and outcome mediated by neutrophils after TBI remain poorly understood. METHODS Using the combined single-cell transcriptomics, metabolomics, and proteomics analysis from TBI patients and the TBI mouse model, we investigate a novel neutrophil phenotype and its associated effects on TBI outcome by neurological deficit scoring and behavioral tests. We also characterized the underlying mechanisms both in vitro and in vivo through molecular simulations, signaling detections, gene expression regulation assessments [including dual-luciferase reporter and chromatin immunoprecipitation (ChIP) assays], primary cultures or co-cultures of neutrophils and oligodendrocytes, intracellular iron, and lipid hydroperoxide concentration measurements, as well as forkhead box protein O1 (FOXO1) conditional knockout mice. RESULTS We identified that high expression of the FOXO1 protein was induced in neutrophils after TBI both in TBI patients and the TBI mouse model. Infiltration of these FOXO1high neutrophils in the brain was detected not only in the acute phase but also in the chronic phase post-TBI, aggravating acute brain inflammatory damage and promoting late TBI-induced depression. In the acute stage, FOXO1 upregulated cytoplasmic Versican (VCAN) to interact with the apoptosis regulator B-cell lymphoma-2 (BCL-2)-associated X protein (BAX), suppressing the mitochondrial translocation of BAX, which mediated the antiapoptotic effect companied with enhancing interleukin-6 (IL-6) production of FOXO1high neutrophils. In the chronic stage, the "FOXO1-transferrin receptor (TFRC)" mechanism contributes to FOXO1high neutrophil ferroptosis, disturbing the iron homeostasis of oligodendrocytes and inducing a reduction in myelin basic protein, which contributes to the progression of late depression after TBI. CONCLUSIONS FOXO1high neutrophils represent a novel neutrophil phenotype that emerges in response to acute and chronic TBI, which provides insight into the heterogeneity, reprogramming activity, and versatility of neutrophils in TBI.
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Affiliation(s)
- Mi Zhou
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China
| | - Yang-Wu-Yue Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China
| | - Yu-Hang He
- Research Center for Nutrition and Food Safety, Chongqing Key Laboratory of Nutrition and Health, Institute of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China
| | - Jing-Yu Zhang
- Department of Neurosurgery, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Hao Guo
- Department of Trauma and Emergency, Southwest Hospital, Army Medical University, Chongqing, 400038, China
| | - Hao Wang
- Department of Neurosurgery, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Jia-Kui Ren
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China
| | - Yi-Xun Su
- Department of Histology and Embryology, Chongqing Key Laboratory of Neurobiology, Brain and Intelligence Research Key Suyixun Laboratory of Chongqing Education Commission, Army Medical University, Chongqing, 400038, China
- Research Center, Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Teng Yang
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China
| | - Jia-Bo Li
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China
| | - Wen-Hui He
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China
| | - Peng-Jiao Ma
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China
| | - Man-Tian Mi
- Research Center for Nutrition and Food Safety, Chongqing Key Laboratory of Nutrition and Health, Institute of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China.
| | - Shuang-Shuang Dai
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Army Medical University, Chongqing, 400038, China.
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18
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Cao Z, Aharonian F, Axikegu, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Bian W, Bukevich AV, Cao Q, Cao WY, Cao Z, Chang J, Chang JF, Chen AM, Chen ES, Chen HX, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen S, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng N, Cheng YD, Cui MY, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Danzengluobu, Dong XQ, Duan KK, Fan JH, Fan YZ, Fang J, Fang JH, Fang K, Feng CF, Feng H, Feng L, Feng SH, Feng XT, Feng Y, Feng YL, Gabici S, Gao B, Gao CD, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Giacinti G, Gong GH, Gou QB, Gu MH, Guo FL, Guo XL, Guo YQ, Guo YY, Han YA, Hasan M, He HH, He HN, He JY, He Y, Hor YK, Hou BW, Hou C, Hou X, Hu HB, Hu Q, Hu SC, Huang DH, Huang TQ, Huang WJ, Huang XT, Huang XY, Huang Y, Ji XL, Jia HY, Jia K, Jiang K, Jiang XW, Jiang ZJ, Jin M, Kang MM, Karpikov I, Kuleshov D, Kurinov K, Li BB, Li CM, Li C, Li C, Li D, Li F, Li HB, Li HC, Li J, Li J, Li K, Li SD, Li WL, Li WL, Li XR, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu DB, Liu H, Liu HD, Liu J, Liu JL, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Luo Q, Luo Y, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Min Z, Mitthumsiri W, Mu HJ, Nan YC, Neronov A, Ou LJ, Pattarakijwanich P, Pei ZY, Qi JC, Qi MY, Qiao BQ, Qin JJ, Raza A, Ruffolo D, Sáiz A, Saeed M, Semikoz D, Shao L, Shchegolev O, Sheng XD, Shu FW, Song HC, Stenkin YV, Stepanov V, Su Y, Sun DX, Sun QN, Sun XN, Sun ZB, Takata J, Tam PHT, Tang QW, Tang R, Tang ZB, Tian WW, Wang C, Wang CB, Wang GW, Wang HG, Wang HH, Wang JC, Wang K, Wang K, Wang LP, Wang LY, Wang PH, Wang R, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu QW, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xiang GM, Xiao DX, Xiao G, Xin YL, Xing Y, Xiong DR, Xiong Z, Xu DL, Xu RF, Xu RX, Xu WL, Xue L, Yan DH, Yan JZ, Yan T, Yang CW, Yang CY, Yang F, Yang FF, Yang LL, Yang MJ, Yang RZ, Yang WX, Yao YH, Yao ZG, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zha M, Zhang BB, Zhang F, Zhang H, Zhang HM, Zhang HY, Zhang JL, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zhao XH, Zheng F, Zhong WJ, Zhou B, Zhou H, Zhou JN, Zhou M, Zhou P, Zhou R, Zhou XX, Zhou XX, Zhu BY, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zou YC, Zuo X. Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A. Phys Rev Lett 2024; 132:131002. [PMID: 38613275 DOI: 10.1103/physrevlett.132.131002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/23/2024] [Accepted: 02/12/2024] [Indexed: 04/14/2024]
Abstract
We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at 3.67±0.05±0.15 PeV. Below the knee, the spectral index is found to be -2.7413±0.0004±0.0050, while above the knee, it is -3.128±0.005±0.027, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -0.1200±0.0003±0.0341. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components.
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Affiliation(s)
- Zhen Cao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Aharonian
- Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, 2 Dublin, Ireland
- Max-Planck-Institut for Nuclear Physics, P.O. Box 103980, 69029 Heidelberg, Germany
| | - Axikegu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y X Bai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - D Bastieri
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - X J Bi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Bi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Bian
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - A V Bukevich
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Q Cao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - W Y Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Zhe Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - J Chang
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J F Chang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - A M Chen
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - E S Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H X Chen
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Liang Chen
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Lin Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Long Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M J Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M L Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Q H Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - S Chen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - S H Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S Z Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T L Chen
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - N Cheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y D Cheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Cui
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S W Cui
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - X H Cui
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Y D Cui
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B Z Dai
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - H L Dai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Z G Dai
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Danzengluobu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - X Q Dong
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - K K Duan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J H Fan
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y Z Fan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Fang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J H Fang
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - K Fang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
| | - L Feng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X T Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Y Feng
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Y L Feng
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - S Gabici
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - B Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C D Gao
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Q Gao
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - W Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W K Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M M Ge
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - L S Geng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - G Giacinti
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q B Gou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M H Gu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - F L Guo
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - X L Guo
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Y Guo
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y A Han
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - M Hasan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H H He
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H N He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Y He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y He
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y K Hor
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B W Hou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C Hou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Hou
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q Hu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S C Hu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- China Center of Advanced Science and Technology, Beijing 100190, China
| | - D H Huang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - T Q Huang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W J Huang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - X T Huang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X Y Huang
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y Huang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X L Ji
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H Y Jia
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - K Jia
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - K Jiang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - X W Jiang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z J Jiang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Jin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M M Kang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - I Karpikov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - D Kuleshov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - K Kurinov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - B B Li
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - C M Li
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Cheng Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Cong Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H B Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H C Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Jian Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Jie Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - K Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S D Li
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - W L Li
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W L Li
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - X R Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Xin Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y Z Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhe Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhuo Li
- School of Physics, Peking University, 100871 Beijing, China
| | - E W Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Y F Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - S J Lin
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B Liu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - C Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Liu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D B Liu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H D Liu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - J Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Liu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - R Y Liu
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - S M Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - W Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Liu
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y N Liu
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q Luo
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - Y Luo
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H K Lv
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Ma
- School of Physics, Peking University, 100871 Beijing, China
| | - L L Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X H Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J R Mao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Min
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Mitthumsiri
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - H J Mu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - Y C Nan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - A Neronov
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - L J Ou
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - P Pattarakijwanich
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Z Y Pei
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - J C Qi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Qi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Qiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J J Qin
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - A Raza
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Ruffolo
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - A Sáiz
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - M Saeed
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Semikoz
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - L Shao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - O Shchegolev
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - X D Sheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F W Shu
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - H C Song
- School of Physics, Peking University, 100871 Beijing, China
| | - Yu V Stenkin
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - V Stepanov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Y Su
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - D X Sun
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Q N Sun
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - X N Sun
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Z B Sun
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - J Takata
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - P H T Tam
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - Q W Tang
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - R Tang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Z B Tang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W W Tian
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - C Wang
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - C B Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - G W Wang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - H G Wang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - H H Wang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - J C Wang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Kai Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Kai Wang
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - L P Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Y Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - P H Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - R Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W Wang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - X G Wang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - X Y Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Y Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y D Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z H Wang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Z X Wang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Zhen Wang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zheng Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - D M Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y J Wei
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T Wen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - C Y Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q W Wu
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - S Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X F Wu
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y S Wu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - S Q Xi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J Xia
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - G M Xiang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D X Xiao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - G Xiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y L Xin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Xing
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D R Xiong
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Xiong
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D L Xu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - R F Xu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R X Xu
- School of Physics, Peking University, 100871 Beijing, China
| | - W L Xu
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D H Yan
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J Z Yan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T Yan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C W Yang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - C Y Yang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Yang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - F F Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - L L Yang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - M J Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R Z Yang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - W X Yang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y H Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z G Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Q Yin
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - N Yin
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X H You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z Y You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y H Yu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Q Yuan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - H Yue
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H D Zeng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T X Zeng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W Zeng
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Zha
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B B Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H M Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - H Y Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Li Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P F Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P P Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - R Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S B Zhang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - S R Zhang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S S Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - X P Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Yi Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Yong Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Zhao
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - J Zhao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Zhao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - L Z Zhao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S P Zhao
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - X H Zhao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Zheng
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - W J Zhong
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - B Zhou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H Zhou
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - J N Zhou
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - M Zhou
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - P Zhou
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - R Zhou
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - X X Zhou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X X Zhou
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - B Y Zhu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - C G Zhu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - F R Zhu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhu
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - K J Zhu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y C Zou
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - X Zuo
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
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Wang D, Pu X, He Z, Mu Y, Chen Y, Zhou M, Yang L. Bio-Based Copolyester PEIFT: Enhanced Hydrophilicity, Rigidity, and Applications in Nanofibers. Macromol Rapid Commun 2024:e2300715. [PMID: 38539063 DOI: 10.1002/marc.202300715] [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: 12/11/2023] [Revised: 03/12/2024] [Indexed: 04/12/2024]
Abstract
The raw materials of Poly(ethylene terephthalate) (PET) are derived from petroleum-based resources, which are no sustainable. Therefore, previous researchers introduced biomass-derived 2,5-tetrahydrofurfuryl dimethanol (THFDM) into PET. However, its heat resistance has decreased compared to PET. In this paper, a novel bio-based copolyester, poly(ethylene glycol-co-2,5-tetrahydrofuran dimethanol-co-isosorbide terephthalate) (PEIFT), is prepared by introducing biomass-derived isosorbide (ISB) and THFDM into the PET chains through melting copolymerization process. With the introduction of ISB content, copolyesters' hydrophilicity and rigidity improve. Compared to PET, glass transition temperature (Tg) increases by over 5 °C. In addition, the toughness and spinning performance of PEIFT have also been improved as a result of the addition of THFDM components. The hydrophobicity of PEIFTs electrospinning is greatly improved, with a contact angle exceeding 135°. Finally, due to the good hydrophobicity of PEIFTs nanofibers, they have potential application value in the manufacture of hydrophobic nanofiber and filter films. Given its biomass source and excellent performance, they make it easier to replace materials derived from petroleum.
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Affiliation(s)
- Dongqi Wang
- College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Xinming Pu
- Wankai New Material Co., Ltd., Haining, 314415, P. R. China
| | - Zejian He
- College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
- Stoddart Institute of Molecular Science, Department of Chemistry, Zhejiang University, Hangzhou, 310027, P. R. China
- Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311215, P. R. China
| | - Yuesong Mu
- College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Yulong Chen
- College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Mi Zhou
- College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Liping Yang
- Wankai New Material Co., Ltd., Haining, 314415, P. R. China
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20
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Yuan Y, Tan M, Zhou M, Hassan MJ, Lin L, Lin J, Zhang Y, Li Z. Drought priming-induced stress memory improves subsequent drought or heat tolerance via activation of γ-aminobutyric acid-regulated pathways in creeping bentgrass. Plant Biol (Stuttg) 2024. [PMID: 38509772 DOI: 10.1111/plb.13636] [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: 01/15/2024] [Accepted: 02/14/2024] [Indexed: 03/22/2024]
Abstract
Recurrent drought can induce stress memory in plants to induce tolerance to subsequent stress, such as high temperature or drought. Drought priming (DP) is an effective approach to improve tolerance to various stresses; however, the potential mechanism of DP-induced stress memory has not been fully resoved. We examined DP-regulated subsequent drought tolerance or thermotolerance associated with changes in physiological responses, GABA and NO metabolism, heat shock factor (HSF) and dehydrin (DHN) pathways in perennial creeping bentgrass. Plants can recover after two cycle of DP, and DP-treated plants had significantly higher tolerance to subsequent drought or heat stress, with higher leaf RWC, Chl content, photochemical efficiency, and cell membrane stability. DP significantly alleviated oxidative damage through enhancing total antioxidant capacity in response to subsequent drought or heat stress. Endogenous GABA was significantly increased by DP through activating glutamic acid decarboxylase activity and inhibiting GABA transaminase activity. DP also enhanced accumulation of NO, depending on NOS activity, under subsequent drought or heat stress. Transcript levels of multiple transcription factors, heat shock proteins, and DHNs in the HSF and DHN pathways were up-regulated by DP under drought or heat stress, but there were differences between DP-regulated heat tolerance and drought tolerance in these pathways. The findings indicate that under recurrent moderate drought, DP improves subsequent tolerance to drought or heat stress in relation to GABA-regulated pathways, providing new insight into understanding of the role of stress memory in plant adaptation to complex environmental stresses.
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Affiliation(s)
- Y Yuan
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - M Tan
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - M Zhou
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - M J Hassan
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Lin
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Lin
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Zhang
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Z Li
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China
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21
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Ma H, Liu S, Zhong H, Zhou M, Xing C, Li Y, Zhang Q, Guo J, Ning G. Exploring the Landscape of Hydrogel Therapy for Spinal Cord Injury: A Bibliometric and Visual Analysis (1991-2023). World Neurosurg 2024:S1878-8750(24)00433-9. [PMID: 38508381 DOI: 10.1016/j.wneu.2024.03.048] [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: 01/15/2024] [Revised: 03/09/2024] [Accepted: 03/11/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND This study aimed to conduct a bibliometric analysis of the literature on hydrogel therapy for spinal cord injury to visualize the research status, identify hotspots, and explore the development trends in this field. METHODS Web of science Core Collection database was searched for relevant studies published between January 1991 and December 2023. Data such as journal title, author information, institutional affiliation, country, citation, and keywords were extracted. Bibliometrix, CiteSpace, and VOSviewer were used to perform bibliometric analysis of the retrieved data. RESULTS A total of 1099 articles pertaining to hydrogel therapy for spinal cord injury were retrieved, revealing an upward trajectory in both annual publication volume and cumulative publication volume. Biomaterials emerged as the journal with the highest number of publications and the most rapid cumulative publication growth, contributing 84 articles. Among authors, Shoichet MS stood out with the highest number of publications and citations, totaling 66 articles. The University of Toronto led in institutional contributions with 65 publications, while China dominated in country-specific publications, accounting for 374 articles. However, to foster significant academic achievements, it is imperative for diverse authors, institutions, and countries to enhance collaboration. Current research in this field concentrates on scaffold architecture, nerve growth factor, the fibrotic microenvironment, and guidance channels. Simultaneously, upcoming research directions prioritize 3D bioprinting, injectable hydrogel, inflammation, and nanoparticles within the realm of hydrogel therapy for spinal cord injuries. CONCLUSIONS In summary, this study provided a comprehensive analysis of the current research status and frontiers of hydrogel therapy for spinal cord injury. The findings provide a foundation for future research and clinical translation efforts of hydrogel therapy in this field.
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Affiliation(s)
- Hongpeng Ma
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Song Liu
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Hao Zhong
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Mi Zhou
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Cong Xing
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan Li
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Qi Zhang
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Junrui Guo
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China
| | - Guangzhi Ning
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China.
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22
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Shi R, Ma X, Zhou M, Xie X, Xu L. Integrated analysis reveals the dysfunction of intercellular communication and metabolic signals in dilated cardiomyopathy. Heliyon 2024; 10:e26803. [PMID: 38434389 PMCID: PMC10907783 DOI: 10.1016/j.heliyon.2024.e26803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 01/23/2024] [Accepted: 02/20/2024] [Indexed: 03/05/2024] Open
Abstract
Aims Dilated cardiomyopathy refers to a heart muscle condition characterized by structural and functional irregularities in the myocardium that are not related to ischemia. Due to diverse etiologies such as genetic mutations, infections, and exposure to toxins, dilated cardiomyopathy can lead to substantial morbidity and mortality despite advances in the management of heart failure in dilated cardiomyopathy patients. We sought to analyze the characteristics of cell-cell communication and the metabolic signaling pathways in dilated cardiomyopathy. Methods and results The single-nucleus sequencing data of left ventricle samples were acquired from two donor datasets and two dilated cardiomyopathy datasets. Three dilated cardiomyopathy bulk-sequencing datasets were included to determine the shared dilated cardiomyopathy-specific alterations in differentially expressed genes and signaling pathways. Using "CellChat," we analyzed intercellular communication to grasp how cell clusters interact and to map out the impaired signaling pathways in both donor and dilated cardiomyopathy conditions. Gene set enrichment analysis was applied to compare the metabolic signaling before and after dilated cardiomyopathy. We showcased how cell clusters exhibited abnormal cell-to-cell signaling transduction and how each cell type displayed dysfunctional metabolic signaling pathways through the integration of various datasets. The crucial ligand-receptor signaling contributing to outgoing or incoming signaling of dilated cardiomyopathy was identified in a cell-type dependent way, and the cell-specific metabolic alterations in glucose, lipid and amino acid were determined. The expression of gene pairs in BMP and NOTCH signal, as well as the gene expression in the arginine metabolism was validated. Conclusions We reveal the key signals and metabolic pathways for dilated cardiomyopathy adaptation and maintenance, providing potential targets for dilated cardiomyopathy interference.
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Affiliation(s)
- Rui Shi
- Department of Obstetrics and Gynecology, East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiue Ma
- Key Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Mi Zhou
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xin Xie
- Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Liang Xu
- Key Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 201620, China
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23
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Zhou M, Li J, Xiao X, Lim J, Tian Z, Wang D, Zhang N, Xu Z. Research Status and Trends of Traditional Chinese Medicine Therapeutic Formulae for Coronary Heart Disease Scientometrics Research. Int J Gen Med 2024; 17:971-983. [PMID: 38495923 PMCID: PMC10944307 DOI: 10.2147/ijgm.s450876] [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: 11/29/2023] [Accepted: 03/05/2024] [Indexed: 03/19/2024] Open
Abstract
Aim of the Study This study analyzes research on TCM formulae in CHD over the past 30 years, using VOSviewer and CiteSpace. It aims to highlight key trends and hotspots in the field. Materials and Methods The core database of Web of Science was collected, and the search time range was from the establishment of the database to the present (August 2023) for the literature related to the study of TCM prescriptions in CHD, and the information on the number of literature, countries, journals, authors, institutions, keywords were summarized by applying the software VOSviewer and CiteSpace. Results A total of 135 kinds of literature were included. The number of published journal papers on research on TCM therapeutic formulae for CHD showed an upward trend; China was the most prolific country in this field; the largest number of papers were published in Evid Based Complement Alternat Med, MEDICINE; the average number of citations for authors and institutional analysis revealed that Xu Hao of China Academy of Traditional Chinese Medicine, Mao Jingyuan of Tianjin University of Traditional Chinese Medicine, and Shang Hongcai of Beijing University of Traditional Chinese Medicine constituted the core team of researchers studying the study of TCM formulae for CHD; the keyword analysis suggests that there are mainly 42 specifically named TCM formulae for the treatment of CHD, which are classified into a total of 7 major categories, and the research direction is mainly in the clinical efficacy study of different TCM therapeutic formulae and other aspects. Conclusion This study shows that there are more types of TCM therapeutic formulae for CHD, and the related research has a good prospect. It is foreseeable that more relevant research results will rely on the study of network pharmacology, signalling pathways, and action targets of TCM therapeutic formulae.
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Affiliation(s)
- Mi Zhou
- College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China
| | - Jieyun Li
- College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China
| | - Xinang Xiao
- College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China
| | - Jiekee Lim
- College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China
| | - Zhikui Tian
- College of Rehabilitation Medicine, Qilu Medical University, Zibo, 255000, People’s Republic of China
| | - Dongjun Wang
- College of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, 063210, People’s Republic of China
| | - Naijin Zhang
- College of Public Health and Health Sciences, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China
| | - Zhaoxia Xu
- College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China
- Shanghai Key Laboratory of Health Identification and Assessment, Shanghai, 201203, People’s Republic of China
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24
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Han Z, Qi Y, Wang Y, Wang Y, Fan Y, Yan B, Zhou M, Wang Q. Design of ultrahigh-Q silicon microring resonators based on free-form curves. Opt Express 2024; 32:9553-9561. [PMID: 38571186 DOI: 10.1364/oe.515506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/16/2024] [Indexed: 04/05/2024]
Abstract
A design method for ultrahigh-Q microring resonators (MRRs) based on Bezier free-form curves was proposed and demonstrated. An MRR consisting of a specially designed 180° waveguide bend, a directional coupler, and two low-loss multi-mode strip waveguides was designed. The free-form curves were used to increase the degree of freedom in the design, shaping the waveguide bend with a gradient width and curvature. This design effectively reduced the propagation loss caused by the roughness of waveguide sidewalls and the mode mismatch loss caused by the excitation of high order modes. The small effective radius of only 20µm enabled the MRR to have a large free spectral range (FSR) and a compact and flexible structure. The MRR was manufactured using a standard process provided by foundry and measured to have an ultrahigh loaded Q factor of 1.86 × 106 and a FSR of about 1 nm.
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25
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Gong Q, Wang H, Zhou M, Zhou L, Wang R, Li Y. B-cell lymphoma-2 family proteins in the crosshairs: Small molecule inhibitors and activators for cancer therapy. Med Res Rev 2024; 44:707-737. [PMID: 37983840 DOI: 10.1002/med.21999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 11/22/2023]
Abstract
The B-cell lymphoma-2 (BCL-2) family of proteins plays a crucial role in the regulation of apoptosis, offering a dual mechanism for its control. Numerous studies have established a strong association between gene disorders of these proteins and the proliferation of diverse cancer cell types. Consequently, the identification and development of drugs targeting BCL-2 family proteins have emerged as a prominent area in antitumor therapy. Over the last two decades, several small-molecules have been designed to modulate the protein-protein interactions between anti- and proapoptotic BCL-2 proteins, effectively suppressing tumor growth and metastasis in vivo. The primary focus of research has been on developing BCL-2 homology 3 (BH3) mimetics to target antiapoptotic BCL-2 proteins, thereby competitively releasing proapoptotic BCL-2 proteins and restoring the blocked intrinsic apoptotic program. Additionally, for proapoptotic BCL-2 proteins, exogenous small molecules have been explored to activate cell apoptosis by directly interacting with executioner proteins such as BCL-2-associated X protein (BAX) or BCL-2 homologous antagonist/killer protein (BAK). In this comprehensive review, we summarize the inhibitors and activators (sensitizers) of BCL-2 family proteins developed over the past decades, highlighting their discovery, optimization, preclinical and clinical status, and providing an overall landscape of drug development targeting these proteins for therapeutic purposes.
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Affiliation(s)
- Qineng Gong
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, People's Republic of China
| | - Haojie Wang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, People's Republic of China
| | - Mi Zhou
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, People's Republic of China
| | - Lu Zhou
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, People's Republic of China
| | - Renxiao Wang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, People's Republic of China
| | - Yan Li
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai, People's Republic of China
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26
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Li Y, Li Y, Li C, Wang J, Tang J, Li R, Zhang G, Huang L, Zhou M, Xu C, Dong N. Emergence of an ST1934:KL121 hypervirulent Klebsiella pneumoniae carrying a novel virulence-resistance hybrid plasmid with chromosomal integration of ICEKp1. Eur J Clin Microbiol Infect Dis 2024; 43:617-622. [PMID: 38228942 DOI: 10.1007/s10096-024-04757-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/10/2024] [Indexed: 01/18/2024]
Abstract
To identify the phenotypic and genomic characteristics of K. pneumoniae KP43 from bloodstream infection. KP43 was resistant to ticarcillin and tetracycline and was hypervirulent in the Galleria mellonella larvae infection model, positive for string test, and possessed high-level macrophage killing resistance. The hypervirulence phenotype was associated with the chromosome integration of ICEKp1 carrying iroBCDN-iroP, rmpADC, and peg-344, and a novel plasmid pKP43_vir_amr harboring iutAiucABCD. pKP43_vir_amr was an IncFIBκ/FII virulence-resistance hybrid conjugative plasmid which also carried antibiotic resistance genes. The emergence of such a strain and the spread of the novel virulence-resistance plasmid might pose a potential threat to public health.
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Affiliation(s)
- Yunbing Li
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
- Department of Medical Microbiology, Experimental Center, Medical College of Soochow University, Suzhou, China
| | - Yuanyuan Li
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
- Department of Medical Microbiology, Experimental Center, Medical College of Soochow University, Suzhou, China
| | - Chunli Li
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
- Department of Medical Microbiology, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Jingyu Wang
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Jiayi Tang
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Ruichao Li
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, People's Republic of China
| | - Guangfen Zhang
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
- Department of Medical Microbiology, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Lili Huang
- Laboratory Department, Children's Hospital of Soochow University, Suzhou, China
| | - Mi Zhou
- Department of Pharmacy, Children's Hospital of Soochow University, Suzhou, China
| | - Chen Xu
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China.
| | - Ning Dong
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China.
- Department of Medical Microbiology, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China.
- Center for Clinical Big Data and Analytics, The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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Mao J, Zhao Y, Hu H, Zhou M, Yang X. An L-shaped association between composite dietary antioxidant index and stroke: Evidence from NHANES 2011-2020. J Stroke Cerebrovasc Dis 2024; 33:107578. [PMID: 38232583 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107578] [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: 11/18/2023] [Revised: 01/05/2024] [Accepted: 01/11/2024] [Indexed: 01/19/2024] Open
Abstract
OBJECTIVES Antioxidant diets are considered to be protective factors against stroke. However, comprehensive measurement and evaluation of antioxidant diets are lacking. This study aimed to investigate the correlation between the Composite Dietary Antioxidant Index (CDAI) and stroke in adults. MATERIALS AND METHODS In this study, based on the National Health and Nutrition Examination Survey (NHANES) 2011-2020 data, multivariate logistic regression, smoothing curve fitting, and threshold effect analysis were used to explore the relationship between CDAI and stroke. Subgroup analyses and interaction tests were conducted to assess the stability of this association within the population. RESULTS Among 12,922 U.S. adults, there was a significant negative correlation between CDAI and the prevalence of stroke. In the fully adjusted model, the risk of stroke was reduced by 4 % for each 1-unit increase in CDAI (OR [95% CI] = 0.96 [0.93, 0.99]). Participants in the highest quartile of the CDAI had a 37 % lower risk of stroke than those in the lowest quartile (OR [95% CI] = 0.63 [0.47, 0.84]). This negative correlation remained stable across subgroups. Furthermore, the study revealed an L-shaped association between CDAI and stroke through smoothing curve fitting. The threshold effect analysis further identified the inflection point as -1.55. CONCLUSIONS This study revealed an L-shaped relationship between CDAI and stroke. Keeping CDAI in the proper range may help prevent stroke in the general population.
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Affiliation(s)
- Jiesheng Mao
- Postgraduate Training Base Alliance of Wenzhou Medical University (Wenzhou People's Hospital), China
| | - Yunhan Zhao
- Postgraduate Training Base Alliance of Wenzhou Medical University (Wenzhou People's Hospital), China
| | - Haoxiang Hu
- Postgraduate Training Base Alliance of Wenzhou Medical University (Wenzhou People's Hospital), China
| | - Mi Zhou
- Third Affiliated Hospital, School of Medicine, Shanghai University, Shanghai 200444, China
| | - Xiaokai Yang
- Postgraduate Training Base Alliance of Wenzhou Medical University (Wenzhou People's Hospital), China.
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Shen F, Gao C, Wang M, Ding X, Zhao H, Zhou M, Mao J, Kuai L, Li B, Wang D, Zhang H, Ma X. Therapeutic effects of the Qingre-Qushi recipe on atopic dermatitis through the regulation of gut microbiota and skin inflammation. Heliyon 2024; 10:e26063. [PMID: 38380039 PMCID: PMC10877368 DOI: 10.1016/j.heliyon.2024.e26063] [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: 07/11/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 02/22/2024] Open
Abstract
Accumulating evidence has highlighted a strong association between gut microbiota and the occurrence, development, prevention, and treatment of atopic dermatitis (AD). The regulation of gut microbial dysbiosis by oral traditional Chinese medicine (TCM) has garnered significant attention. In the treatment of AD, the TCM formula Qingre-Qushi Recipe (QRQS) has demonstrated clinical efficacy. However, both the therapeutic mechanisms of QRQS and its impact on gut microbiota remain unclear. Thus, our study aimed to assess the efficacy of QRQS and evaluate its influence on the composition and diversity of gut microbiota in AD animal models. First, we investigated the therapeutic effect of QRQS on AD using two animal models: filaggrin-deficient mice (Flaky tail, ft/ft) and MC903-induced AD-like mice. Subsequently, we explored its influence on the composition and diversity of gut microbiota. Our results demonstrated that QRQS treatment ameliorated the symptoms in both ft/ft mice and MC903-induced AD-like mice. It also reduced the levels of serum IgE and pro-inflammatory cytokines, including IL-1β, IL-4, IL-5, IL-9, IL-13, IL-17A, and TNF-α. Furthermore, QRQS remarkably regulated gut microbiota diversity by increasing Lactobacillaceae and decreasing Bacteroidales. The inflammatory factors in peripheral serum of ft/ft mice showed a close correlation with gut microbiota, as determined using the Spearman correlation coefficient. Additionally, PICRUSt analysis revealed an enrichment in ascorbate and aldarate metabolism, fatty acid metabolism and biosynthesis, and propanoate metabolism in the QRQS group compared to the ft/ft group. Finally, we identified liquiritin as the primary active ingredient of QRQS using ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS). Our findings revealed that QRQS improved AD-like symptoms and alleviated skin inflammation in ft/ft and MC903-induced mice. This suggests that modulating the gut microbiota may help elucidate its anti-inflammation activation mechanism, highlighting a new therapeutic strategy that targets the intestinal flora to prevent and treat AD.
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Affiliation(s)
- Fang Shen
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China
| | - Chunjie Gao
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China
| | - Mingxia Wang
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China
| | - Xiaojie Ding
- Institute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, 201203, China
- Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China
| | - Hang Zhao
- Institute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, 201203, China
- Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China
| | - Mi Zhou
- Institute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, 201203, China
- Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China
| | - Jingyi Mao
- Department of Dermatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Le Kuai
- Institute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, 201203, China
- Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China
| | - Bin Li
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China
- Institute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, 201203, China
- Institute of Dermatology, School of Medicine, Tongji University, Shanghai, 200443, China
| | - Dongming Wang
- Department of Dermatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Huimin Zhang
- Department of Dermatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Xin Ma
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China
- Department of Dermatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
- Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China
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Liu S, Wu Q, Wang L, Xing C, Guo J, Li B, Ma H, Zhong H, Zhou M, Zhu S, Zhu R, Ning G. Coordination function index: A novel indicator for assessing hindlimb locomotor recovery in spinal cord injury rats based on catwalk gait parameters. Behav Brain Res 2024; 459:114765. [PMID: 37992973 DOI: 10.1016/j.bbr.2023.114765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 11/24/2023]
Abstract
In preclinical studies of spinal cord injury (SCI), behavioral assessments are crucial for evaluating treatment effectiveness. Commonly used methods include Basso, Beattie, Bresnahan (BBB) score and the Louisville swim scale (LSS), relying on subjective observations. The CatWalk automated gait analysis system is also widely used in SCI studies, providing extensive gait parameters from footprints. However, these parameters are often used independently or combined simply without utilizing the vast amount of data provided by CatWalk. Therefore, it is necessary to develop a novel approach encompassing multiple CatWalk parameters for a comprehensive and objective assessment of locomotor function. In this work, we screened 208 CatWalk XT gait parameters and identified 38 suitable for assessing hindlimb motor function recovery in a rat thoracic contusion SCI model. Exploratory factor analysis was used to reveal structural relationships among these parameters. Weighted scores for Coordination effectively differentiated hindlimb motor function levels, termed as the Coordinated Function Index (CFI). CFI showed high reliability, exhibiting high correlations with BBB scores, LSS, and T2WI lesion area. Finally, we simplified CFI based on factor loadings and correlation analysis, obtaining a streamlined version with reliable assessment efficacy. In conclusion, we developed a systematic assessment indicator utilizing multiple CatWalk parameters to objectively evaluate hindlimb motor function recovery in rats after thoracic contusion SCI.
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Affiliation(s)
- Song Liu
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Qiang Wu
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Liyue Wang
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Cong Xing
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Junrui Guo
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Baicao Li
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Hongpeng Ma
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Hao Zhong
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Mi Zhou
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Shibo Zhu
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China
| | - Rusen Zhu
- Department of Spine Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Guangzhi Ning
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China; International Science and Technology Cooperation Base of Spinal Cord lnjury, Tianjin, China; Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin, China.
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He Y, Zhu G, Li X, Zhou M, Guan MX. Deficient tRNA posttranscription modification dysregulated the mitochondrial quality controls and apoptosis. iScience 2024; 27:108883. [PMID: 38318358 PMCID: PMC10838789 DOI: 10.1016/j.isci.2024.108883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 10/26/2023] [Accepted: 01/08/2024] [Indexed: 02/07/2024] Open
Abstract
Mitochondria are dynamic organelles in cellular metabolism and physiology. Mitochondrial DNA (mtDNA) mutations are associated with a broad spectrum of clinical abnormalities. However, mechanisms underlying mtDNA mutations regulate intracellular signaling related to the mitochondrial and cellular integrity are less explored. Here, we demonstrated that mt-tRNAMet 4435A>G mutation-induced nucleotide modification deficiency dysregulated the expression of nuclear genes involved in cytosolic proteins involved in oxidative phosphorylation system (OXPHOS) and impaired the assemble and integrity of OXPHOS complexes. These dysfunctions caused mitochondrial dynamic imbalance, thereby increasing fission and decreasing fusion. Excessive fission impaired the process of autophagy including initiation phase, formation, and maturation of autophagosome. Strikingly, the m.4435A>G mutation upregulated the PARKIN dependent mitophagy pathways but downregulated the ubiquitination-independent mitophagy. These alterations promoted intrinsic apoptotic process for the removal of damaged cells. Our findings provide new insights into mechanism underlying deficient tRNA posttranscription modification regulated intracellular signaling related to the mitochondrial and cellular integrity.
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Affiliation(s)
- Yunfan He
- Center for Mitochondrial Biomedicine, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
- Institute of Genetics, Zhejiang University International School of Medicine, Hangzhou, Zhejiang, China
- Center for Genetic Medicine, Zhejiang University International Institute of Medicine, Yiwu, Zhejiang, China
| | - Gao Zhu
- Center for Mitochondrial Biomedicine, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
- Institute of Genetics, Zhejiang University International School of Medicine, Hangzhou, Zhejiang, China
- Center for Genetic Medicine, Zhejiang University International Institute of Medicine, Yiwu, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Genetic & Developmental Disorders, Hangzhou, Zhejiang, China
| | - Xincheng Li
- Institute of Genetics, Zhejiang University International School of Medicine, Hangzhou, Zhejiang, China
| | - Mi Zhou
- Institute of Genetics, Zhejiang University International School of Medicine, Hangzhou, Zhejiang, China
| | - Min-Xin Guan
- Center for Mitochondrial Biomedicine, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
- Institute of Genetics, Zhejiang University International School of Medicine, Hangzhou, Zhejiang, China
- Center for Genetic Medicine, Zhejiang University International Institute of Medicine, Yiwu, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Genetic & Developmental Disorders, Hangzhou, Zhejiang, China
- Key Lab of Reproductive Genetics, Ministry of Education of PRC, Zhejiang University, Hangzhou, Zhejiang, China
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Fang B, Wang L, Liu S, Zhou M, Ma H, Chang N, Ning G. Sarsasapogenin regulates the immune microenvironment through MAPK/NF-kB signaling pathway and promotes functional recovery after spinal cord injury. Heliyon 2024; 10:e25145. [PMID: 38322941 PMCID: PMC10844052 DOI: 10.1016/j.heliyon.2024.e25145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/21/2024] [Accepted: 01/22/2024] [Indexed: 02/08/2024] Open
Abstract
Spinal cord injury (SCI) occurs as a result of traumatic events that damage the spinal cord, leading to motor, sensory, or autonomic function impairment. Sarsasapogenin (SA), a natural steroidal compound, has been reported to have various pharmacological applications, including the treatment of inflammation, diabetic nephropathy, and neuroprotection. However, the therapeutic efficacy and underlying mechanisms of SA in the context of SCI are still unclear. This research aimed to investigate the therapeutic effects and mechanisms of SA against SCI by integrating network pharmacology analysis and experimental verification. Network pharmacology results suggested that SA may effectively treat SCI by targeting key targets such as TNF, RELA, JUN, MAPK14, and MAPK8. The underlying mechanism of this treatment may involve the MAPK (JNK) signaling pathway and inflammation-related signaling pathways such as TNF and Toll-like receptor signaling pathways. These findings highlight the therapeutic potential of SA in SCI treatment and provide valuable insights into its molecular mechanisms of action. In vivo experiments confirmed the reparative effect of SA on SCI in rats and suggested that SA could repair SCI by modulating the immune microenvironment. In vitro experiments further investigated how SA regulates the immune microenvironment by inhibiting the MAPK/NF-kB pathways. Overall, this study successfully utilized a combination of network pharmacology and experimental verification to establish that SA can regulate the immune microenvironment via the MAPK/NF-kB signaling pathway, ultimately facilitating functional recovery from SCI. Furthermore, these findings emphasize the potential of natural compounds from traditional Chinese medicine as a viable therapy for SCI treatment.
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Affiliation(s)
- Bing Fang
- International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Othopaedics, Tianjin Medical University General Hospital, Tianjin, China
- Department of Othopaedics, Affiliated Hospital of Qingdao Binhai University, Qingdao, China
| | - Liyue Wang
- International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Othopaedics, Tianjin Medical University General Hospital, Tianjin, China
| | - Song Liu
- International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Othopaedics, Tianjin Medical University General Hospital, Tianjin, China
| | - Mi Zhou
- International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Othopaedics, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongpeng Ma
- International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Othopaedics, Tianjin Medical University General Hospital, Tianjin, China
| | - Nianwei Chang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Guangzhi Ning
- International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Othopaedics, Tianjin Medical University General Hospital, Tianjin, China
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Liu W, Wu J, Ming X, Zhang Q, Zhou D, Zheng R, Zhou M, Shang Z, Chen L, Zhu X, Xiao Y. Case report: The utilization of crizotinib and brentuximab vedotin as a bridge to autologous stem cell transplantation and followed by CD30-directed CAR-T cell therapy in relapsed/refractory ALK+ ALCL. Front Immunol 2024; 15:1346001. [PMID: 38375471 PMCID: PMC10875076 DOI: 10.3389/fimmu.2024.1346001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 01/16/2024] [Indexed: 02/21/2024] Open
Abstract
Background Anaplastic lymphoma kinase-positive anaplastic large cell lymphoma (ALK+ ALCL) is a rare, mature T-cell non-Hodgkin lymphoma. The prognosis of patients with relapsed or refractory ALCL following first-line chemotherapy is extremely poor. NCCN guidelines recommend intensified chemotherapy with or without ASCT consolidation for r/r ALCL, however, this is not an effective treatment for all ALK+ALCL. Case report Herein, we report a patient with relapsed/refractory ALK+ ALCL who received crizotinib and brentuximab vedotin as bridging therapy, followed by autologous stem cell transplantation and sequential anti-CD30 CAR T cell therapy. Conclusion The patient achieved complete remission and long-term disease-free survival of months and continues to be followed up. The combination therapy model in this case may provide guidance for the management of relapsed/refractory ALK+ ALCL, and further prospective trials are needed to confirm its effectiveness.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Liting Chen
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaojian Zhu
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yi Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Chen X, Wu J, Yang F, Zhou M, Wang R, Huang J, Rong Y, Liu J, Wang S. Corrigendum to "New insight into the mechanism by which antifreeze peptides regulate the physiological function of Streptococcus thermophilus subjected to freezing stress" [J. Adv. Res. 45 (2023) 127-140]. J Adv Res 2024; 56:181. [PMID: 38296366 PMCID: PMC10834789 DOI: 10.1016/j.jare.2024.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2024] Open
Affiliation(s)
- Xu Chen
- School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Jinhong Wu
- Department of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Fujia Yang
- College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Mi Zhou
- Department of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ruibin Wang
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jianlian Huang
- Key Laboratory of Refrigeration and Conditioning Aquatic Products Processing of Ministry of Agriculture and Rural Affairs, Xiamen 361022, China
| | - Yuzhi Rong
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Jianhua Liu
- International Faculty of Applied Technology, Yibin University, Yibin, Sichuan 644000, China
| | - Shaoyun Wang
- College of Biological Science and Engineering, Fuzhou University, Fuzhou, Fujian 350108, China.
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Mei C, Yang X, Zhou M, Zhang S, Chen H, Yang X, Wang L. Semi-supervised image segmentation using a residual-driven mean teacher and an exponential Dice loss. Artif Intell Med 2024; 148:102757. [PMID: 38325920 DOI: 10.1016/j.artmed.2023.102757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/13/2023] [Accepted: 12/29/2023] [Indexed: 02/09/2024]
Abstract
Semi-supervised segmentation plays an important role in computer vision and medical image analysis and can alleviate the burden of acquiring abundant expert-annotated images. In this paper, we developed a residual-driven semi-supervised segmentation method (termed RDMT) based on the classical mean teacher (MT) framework by introducing a novel model-level residual perturbation and an exponential Dice (eDice) loss. The introduced perturbation was integrated into the exponential moving average (EMA) scheme to enhance the performance of the MT, while the eDice loss was used to improve the detection sensitivity of a given network to object boundaries. We validated the developed method by applying it to segment 3D Left Atrium (LA) and 2D optic cup (OC) from the public LASC and REFUGE datasets based on the V-Net and U-Net, respectively. Extensive experiments demonstrated that the developed method achieved the average Dice score of 0.8776 and 0.7751, when trained on 10% and 20% labeled images, respectively for the LA and OC regions depicted on the LASC and REFUGE datasets. It significantly outperformed the MT and can compete with several existing semi-supervised segmentation methods (i.e., HCMT, UAMT, DTC and SASS).
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Affiliation(s)
- Chenyang Mei
- School of Ophthalmology & Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Xiaoguo Yang
- Department of Neurology, Wenzhou People's Hospital, The Third Affiliated Hospital of Shanghai University, Wenzhou 325041, China
| | - Mi Zhou
- Department of Neurology, Wenzhou People's Hospital, The Third Affiliated Hospital of Shanghai University, Wenzhou 325041, China; School of Medicine, Shanghai University, Shanghai 200444, China
| | - Shaodan Zhang
- School of Ophthalmology & Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Hao Chen
- School of Ophthalmology & Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Xiaokai Yang
- Department of Neurology, Wenzhou People's Hospital, The Third Affiliated Hospital of Shanghai University, Wenzhou 325041, China; School of Medicine, Shanghai University, Shanghai 200444, China.
| | - Lei Wang
- School of Ophthalmology & Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China.
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Zhou M, Huang H, Fan Y, Chen M, Li M, Wang Y. The application of quantitative perfusion analysis of golden-angle radial sparse parallel MRI and R2∗ value for predicting pathological prognostic factors in rectal cancer. Clin Radiol 2024; 79:124-132. [PMID: 38030505 DOI: 10.1016/j.crad.2023.10.027] [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: 07/31/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023]
Abstract
AIM To investigate the diagnostic value of golden-angle radial sparse parallel magnetic resonance imaging (MRI) (GRASP) and R2∗ in predicting the prognostic factors of resectable rectal cancer. MATERIALS AND METHODS A total of 108 patients with rectal adenocarcinoma were included in this retrospective study. The volume transfer constant (Ktrans), rate constant (Kep), plasma volume fraction (Ve), and R2∗ were obtained. Univariate and multivariate logistic regression were conducted. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the imaging parameters. RESULTS The Ktrans was found to be significantly higher in rectal cancers with positive lymph node metastasis (LNM), higher tumour grade, positive lymphovascular invasion (LVI), and higher ki-67 (all p<0.05). The Kep was also significantly higher in the LNM-positive group (p<0.001), while the R2∗ was higher in rectal cancers with LNM-positive, higher tumour grade, LVI-positive, and higher ki-67 (all p<0.05). Combining the Ktrans and R2∗ provided the highest area under the ROC curve (AUC) for LNM-positive and higher ki-67 tumours differentiation (0.790 and 0.823, respectively). DISCUSSION Combining quantitative parameters of the Ktrans and R2∗ could be used to non-invasively predict pathological prognostic factors preoperatively.
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Affiliation(s)
- M Zhou
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - H Huang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Y Fan
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - M Chen
- Department of MR Scientific Marketing, Siemens Healthineers, Shanghai, 200135, China
| | - M Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Y Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
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Xu C, Li Y, Li Y, Huang L, Zhou M, Xu Y, Dong N. Characterization of an ST38 carbapenem-resistant and highly virulent Escherichia coli carrying conjugatively transferable ColV virulence-resistance and blaNDM-5-positive resistance plasmids. J Antimicrob Chemother 2024; 79:447-452. [PMID: 38153179 DOI: 10.1093/jac/dkad403] [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: 10/29/2023] [Accepted: 12/15/2023] [Indexed: 12/29/2023] Open
Abstract
OBJECTIVES To characterize an Escherichia coli strain causing bloodstream infection encoding both high-virulence and carbapenem-resistance phenotypes. METHODS Antimicrobial susceptibility testing, WGS and bioinformatics analysis were performed to characterize strain E1. The function of the ColV plasmid was investigated by the Galleria mellonella infection model, serum killing and macrophage killing assays. The fitness effect of the ColV plasmid was tested by growth curve, plasmid stability tests and the in vitro competition assay. The conjugation assay was performed to test the transferability of the ColV and blaNDM-5-carrying plasmids. RESULTS E. coli E1 from bloodstream infection was MDR and highly virulent in the G. mellonella infection model. It belonged to phylogroup D, ST38 and serotype O7:H8. E1 carried a conjugatively transferable IncI1-type blaNDM-5-positive plasmid, which conferred carbapenem resistance, a conjugative IncFIB/FII-type ColV plasmid encoding an array of virulence-associated genes and antibiotic resistance genes blaTEM-1B, strAB and sul2, and seven other plasmids. Co-transfer of the ColV plasmid and the blaNDM-5-positive plasmid was observed. The ColV virulence-resistance hybrid plasmid contributed to the virulence, resistance to serum killing, and macrophage phagocytosis in E. coli E1. The carriage of this ColV plasmid did not constitute an in vitro fitness burden to strain E1 but caused fitness costs to E. coli strain EC600. CONCLUSIONS The emergence of such a highly virulent and resistant strain with conjugative blaNDM-5-positive and ColV plasmids posed a significant threat to public health. Implementation of control measures is needed to prevent such strains from further disseminating in hospital settings and the community.
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Affiliation(s)
- Chen Xu
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Yunbing Li
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
- Department of Medical Microbiology, Experimental Center, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yuanyuan Li
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
- Department of Medical Microbiology, Experimental Center, Suzhou Medical College of Soochow University, Suzhou, China
| | - Lili Huang
- Laboratory Department, Children's Hospital of Soochow University, Suzhou, China
| | - Mi Zhou
- Department of Pharmacy, Children's Hospital of Soochow University, Suzhou, China
| | - Yi Xu
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Ning Dong
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-infective Medicine, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, China
- Department of Medical Microbiology, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou, China
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Chang Y, Zhou M, Zhang RY. Antioxidant effect of dimethyl fumarate in pentylenetetrazole-kindled epilepsy mice and is activated by nuclear factor erythroid 2-related factor 2 pathway. J Physiol Pharmacol 2024; 75. [PMID: 38583440 DOI: 10.26402/jpp.2024.1.07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 02/29/2024] [Indexed: 04/09/2024]
Abstract
This study was designed to examine the anti-oxidative stress effect of dimethyl fumarate (DMF) on pentylenetetrazole (PTZ)-induced epileptic mice, and to evaluate the correlation of its mechanism with the nuclear factor E2-related factor 2 (Nrf2)-mediated signaling pathway. The experimental mice were separated into three groups: control, model, and DMF groups. Mice in the model group were administered PTZ to establish an epilepsy model, mice in the DMF group were administered DMF concurrently when modeling, and mice in the control group were administered a 0.9% NaCl solution. The latency, severity, and frequency of epileptic seizures in mice after each treatment were recorded, and the modelling success rate was computed at the conclusion of the experiment. The mice were euthanized, their levels of malondialdehyde (MDA), reactive oxygen species (ROS), superoxide dismutase (SOD), 8-hydroxy-deoxyguanosine (8-OHdG), and Nrf2 were measured, and the electron microscope was used to examine the mitochondrial damage of brain tissue. The latency of epileptic seizures was longer in the DMF group compared to the model group (P<0.05). The levels of MDA and ROS in the DMF group were lower than those in the model group (P<0.0001), and the activity of SOD in the DMF group was higher than that in the model group (P<0.0001); however, the levels of MDA and ROS were elevated and the activity of SOD was lower in both groups relative to the control group. The levels of 8-OHdG were lower in the DMF group than the model group (P<0.0001), however, the levels were higher in both groups compared to the control group. Mitochondrial abnormalities were more prevalent in the model group than in the DMF group, and more prevalent in both groups compared to the control group. The DMF group contained more Nrf2 content than the model group (P<0.0001), and both groups contained more Nrf2 than the control group. We concluded that the mechanism by which DMF reduced the level of oxidative stress in epileptic mice might involve the Nrf2-mediated signaling pathway.
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Affiliation(s)
- Y Chang
- Department of Pediatry, Dalian Medical University, Dalian, China
| | - M Zhou
- Department of Pediatry, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China
| | - R-Y Zhang
- Department of Pediatry, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China.
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Tsoy A, Liu Z, Zhang H, Zhou M, Yang W, Geng H, Jiang K, Yuan X, Geng Z. Image-free single-pixel keypoint detection for privacy preserving human pose estimation. Opt Lett 2024; 49:546-549. [PMID: 38300055 DOI: 10.1364/ol.514213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 12/27/2023] [Indexed: 02/02/2024]
Abstract
Computer vision technology has been applied in various fields such as identification, surveillance, and robot vision. However, computer vision algorithms used for human-related tasks operate on human images, which raises data security and privacy concerns. In this Letter, we propose an image-free human keypoint detection technique using a few coded illuminations and a single-pixel detector. Our proposed method can complete the keypoint detection task at an ultralow sampling rate on a measured one-dimensional sequence without image reconstruction, thus protecting privacy from the data collection stage and preventing the acquisition of detailed visual information from the source. The network is designed to optimize both the illumination patterns and the human keypoint predictor with an encoder-decoder framework. For model training and validation, we used 2000 images from Leeds Sport Dataset and COCO Dataset. By incorporating EfficientNet backbone, the inference time is reduced from 4 s to 0.10 s. In the simulation, the proposed network achieves 91.7% average precision. Our experimental results show an average precision of 88.4% at a remarkably low sampling rate of 0.015. In summary, our proposed method has the advantages of privacy protection and resource efficiency, which can be applied to many monitoring and healthcare tasks, such as clinical monitoring, construction site monitoring, and home service robots.
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Guo J, Wang S, Zhou M, Cao J, Cai X, Zhang W, Zhao W, Zhang F, Tian S, Qian X, Zhang J, Li B. Nomogram for the prediction of tigecycline-induced hypofibrinogenaemia in a Chinese population. Int J Antimicrob Agents 2024; 63:107062. [PMID: 38104947 DOI: 10.1016/j.ijantimicag.2023.107062] [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: 07/31/2023] [Revised: 12/02/2023] [Accepted: 12/08/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Tigecycline has been widely used for multi-drug-resistant bacterial infections in China. Although many studies have reported the risk factors for tigecycline-induced hypofibrinogenaemia, it remains unknown whether valproic acid or voriconazole in combination with tigecycline is associated with the decrease in fibrinogen, as both drugs could lead to coagulation disorders. The aim of this study was to develop a nomogram for the prediction of tigecycline-induced hypofibrinogenaemia. METHODS This was a multi-centre retrospective case-control study. The primary outcome was the accurate prediction of tigecycline-induced hypofibrinogenaemia. Nomograms were developed from logistic regression models with least absolute shrinkage and selection operator regression for variable selection. Model performance was assessed via calibration plots, and models were validated internally using bootstrapping on a validation cohort. RESULTS In total, 2362 patients were screened, of which 611 were eligible for inclusion in this study. These 611 patients were divided into the training cohort (n=488) and the validation cohort (n=123). Predictors included in the nomogram for the total population were total dose, age, fibrinogen, prothrombin time (PT), comorbidity, and concomitant use of voriconazole. Total dose, fibrinogen, PT, activated partial thromboplastin time, white blood cell count, and concomitant use of voriconazole were selected to predict hypofibrinogenaemia in patients with malignant haematologic diseases. Both models were calibrated adequately, and their predictions were correlated with the observed outcome. The cut-offs for treatment duration in the total population and the subgroup were 10 and 6 days, respectively. CONCLUSIONS Tigecycline in combination with voriconazole could increase the risk of hypofibrinogenaemia, and tigecycline-induced hypofibrinogenaemia is more likely to occur in patients with malignant haematologic diseases.
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Affiliation(s)
- Jinlin Guo
- Department of Pharmacy, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
| | - Shan Wang
- Department of Pharmacy, NYU Langone Hospital - Long Island, Mineola, NY, USA
| | - Mi Zhou
- Department of Pharmacy, Children's Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Jianghong Cao
- Department of Intensive Care Medicine, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
| | - Xinfeng Cai
- Department of Pharmacy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated with Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated with Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Wenjun Zhang
- Department of Pharmacy, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wei Zhao
- Department of Pharmacy, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Fang Zhang
- Department of Nephrology, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Shuangshuang Tian
- Department of Nephrology, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Xin Qian
- Department of Pharmacy, Guizhou Provincial People's Hospital, Guiyang, China
| | - Jingmin Zhang
- Department of Pharmacy, Shanxi Bethune Hospital, Taiyuan, Shanxi, China
| | - Binbin Li
- School of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, China
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Zhou M, Xu N, Lan S, Liu W. Efficacy of Black Gold, Delicate Pulse Light, Super Photon Skin Rejuvenation for Pigmented Dermatoses. Altern Ther Health Med 2024:AT9554. [PMID: 38330568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Context Pigmented dermatoses are skin diseases characterized by pigmentation changes in the skin's surface due to abnormal melanocyte production. Photon-skin-rejuvenation technology can be effective for the management of facial pigmented dermatoses. Black Gold Delicate Pulse Light (DPL) Super Photon Skin Rejuvenation therapy is a new technology based on traditional photo rejuvenation. Objective The study intended to evaluate the therapeutic efficacy of DPL therapy in the management of targeted pigmented skin diseases, such as melasma, solar lentigines, and postinflammatory hyperpigmentation. Design The research team conducted a prospective cohort study. Setting The study took place at Department of Dermatology, Affiliated Hospital of Shaoxing University, Shaoxing, China. Participants Participants were 130 patients with facial pigmented dermatoses treated at the hospital between February 2021 and December 2021. Interventions The research team assigned participants to one of two groups, with 65 participants in each group: (1) the control group, the intense pulsed light (IPL) group, who received IPL treatment, and (2) the intervention group, the DPL group, who received black gold DPL super photon skin rejuvenation. Both groups received the treatments once a month for 6 months. Outcome Measures At baseline and postintervention for both groups, the research team: (1) collected 5 ml of fasting venous blood from participants and measured serum concentrations of melatonin (MEL), vascular endothelial growth factor (VEGF) and endothelin-1 (ET-1) using enzyme-linked immunosorbent assay (ELISA); (2) assessed the degree of reduction of facial pigmentation using the Visia skin test and each participant's clinical results and calculated total efficacy; and (3) monitored and recorded adverse events. Results Compared to the IPL group, the DPL group: (1) had greater symptom mitigation of the facial pigmented dermatosis, as evinced by significantly lower serum MEL (P = .001) and ET-1 (P = .020) concentrations and higher VEGF levels (P = .001); (2) for participants with freckles (P = .045), cafe-au-lait spots (P = .021), or post-acne hyperpigmentation (P = .029), had a significantly higher total efficacy; and (3) had a lower incidence of adverse events (P = .041). Conclusions Black Gold DPL Super Photon Skin Rejuvenation offers a significantly higher safety profile and treatment efficacy for pigmented-skin diseases compared to IPL treatment. These promising results suggest potential for its use in clinical practice, but clinical adoption requires future trials.
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Li R, Bai H, Guan L, Liu X, Fan P, Zhou M, Wu Y, Wang Y, Zhu Z, Wang G, Wang Y, Li D. [-75 G/A Polymorphism of Apolipoprotein A1 Gene Promoter Region in Normal Pregnant Women and Patients With Gestational Diabetes Mellitus]. Sichuan Da Xue Xue Bao Yi Xue Ban 2024; 55:125-131. [PMID: 38322516 PMCID: PMC10839495 DOI: 10.12182/20240160505] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Indexed: 02/08/2024]
Abstract
Objective To investigate the -75 G/A single-nucleotide polymorphism in the promoter region of apolipoprotein A1 gene (apoA1) and its association with gestational diabetes mellitus (GDM) in pregnant women and to provide references for the exploration in the molecular genetic basis of GDM. Methods A total of 626 GDM patients and 1022 normal pregnant women, ie, the controls, were included in the study. The genotyping of apoA1 -75 G/A polymorphism was performed by polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) analysis. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glucose (Glu) were measured by enzymatic methods. Plasma insulin (INS) was measured by chemiluminescence immunoassay. The protein levels of apoA1 and apoB were measured by the turbidimetric immunoassay. Results Allele frequencies of G and A were 0.718 and 0.282 in the GDM group and 0.713 and 0.287 in the control group, respectively. Distribution of the genotype frequencies was found to be in Hardy-Weinberg equilibrium in both the GDM and control groups. There was no significant difference in the frequencies of alleles G and A and the genotypes of apoA1 -75 G/A polymorphism between the GDM and the control group (P>0.05). In the GDM group, the carriers with the genotype AA were associated with significantly higher levels of TC, HDL-C, and apoA1 than those with genotypes GG and GA did (all P<0.05). After the GDM patients were divided into obese and non-obese subgroups, the genotype-related apoA1 variation was observed only in obese patients, while the genotype-related TC and HDL-C variations were evident in non-obese patients (P<0.05). In the control group, carriers of genotypes AA and GA had higher systolic blood pressure (SBP) and HDL-C than the carriers of genotype GG did (all P<0.05). Carriers of genotypes AA had significantly lower Glu levels than carriers of genotypes GG and GA did (P<0.05). The control subjects were further divided into subgroups according to their body mass index (BMI). Analysis of the subgroups showed that AA carriers were associated with higher SBP levels in the obese control women only, while lower Glu levels were evident in both obese and non-obese control women. Conclusion These results suggest that -75 G/A polymorphism in the apoA1 gene is not associated with GDM. However, the genetic variation is closed associated with the plasma apoA1, HDL-C, and TC levels in GDM patients and plasma HDL-C, Glu, and SBP levels in the control subjects. The apoA1 variant-associated lipids and SBP variation is BMI dependent in both groups.
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Affiliation(s)
- Ruoyu Li
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Huai Bai
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Linbo Guan
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Xinghui Liu
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Ping Fan
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Mi Zhou
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yujie Wu
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yufeng Wang
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Zhengting Zhu
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Guoyu Wang
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yonghong Wang
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Dehua Li
- / ( 610041) West China School of Nursing, Sichuan University/Office of Operations Management and Evaluation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- ( 610041) Laboratory of Genetic Disease and Perinatal Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
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Okato A, Utsumi T, Ranieri M, Zheng X, Zhou M, Pereira LD, Chen T, Kita Y, Wu D, Hyun H, Lee H, Gdowski AS, Raupp JD, Clark-Garvey S, Manocha U, Chafitz A, Sherman F, Stephens J, Rose TL, Milowsky MI, Wobker SE, Serody JS, Damrauer JS, Wong KK, Kim WY. FGFR inhibition augments anti-PD-1 efficacy in murine FGFR3-mutant bladder cancer by abrogating immunosuppression. J Clin Invest 2024; 134:e169241. [PMID: 38226620 PMCID: PMC10786699 DOI: 10.1172/jci169241] [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: 01/30/2023] [Accepted: 11/14/2023] [Indexed: 01/17/2024] Open
Abstract
The combination of targeted therapy with immune checkpoint inhibition (ICI) is an area of intense interest. We studied the interaction of fibroblast growth factor receptor (FGFR) inhibition with ICI in urothelial carcinoma (UC) of the bladder, in which FGFR3 is altered in 50% of cases. Using an FGFR3-driven, Trp53-mutant genetically engineered murine model (UPFL), we demonstrate that UPFL tumors recapitulate the histology and molecular subtype of their FGFR3-altered human counterparts. Additionally, UPFL1 allografts exhibit hyperprogression to ICI associated with an expansion of T regulatory cells (Tregs). Erdafitinib blocked Treg proliferation in vitro, while in vivo ICI-induced Treg expansion was fully abrogated by FGFR inhibition. Combined erdafitinib and ICI resulted in high therapeutic efficacy. In aggregate, our work establishes that, in mice, co-alteration of FGFR3 and Trp53 results in high-grade, non-muscle-invasive UC and presents a previously underappreciated role for FGFR inhibition in blocking ICI-induced Treg expansion.
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Affiliation(s)
- Atsushi Okato
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Takanobu Utsumi
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Michela Ranieri
- Perlmutter Cancer Center, New York University, New York, New York, USA
| | - Xingnan Zheng
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Mi Zhou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Luiza D. Pereira
- Perlmutter Cancer Center, New York University, New York, New York, USA
| | - Ting Chen
- Perlmutter Cancer Center, New York University, New York, New York, USA
| | - Yuki Kita
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Di Wu
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Hyesun Hyun
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Hyojin Lee
- Department of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, South Korea
| | - Andrew S. Gdowski
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - John D. Raupp
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Sean Clark-Garvey
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Ujjawal Manocha
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Alison Chafitz
- Perlmutter Cancer Center, New York University, New York, New York, USA
| | - Fiona Sherman
- Perlmutter Cancer Center, New York University, New York, New York, USA
| | - Janaye Stephens
- Perlmutter Cancer Center, New York University, New York, New York, USA
| | - Tracy L. Rose
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medicine
| | - Matthew I. Milowsky
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medicine
| | - Sara E. Wobker
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Pathology and Laboratory Medicine
| | - Jonathan S. Serody
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medicine
- Department of Pathology and Laboratory Medicine
- Department of Microbiology and Immunology
| | - Jeffrey S. Damrauer
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medicine
| | - Kwok-Kin Wong
- Perlmutter Cancer Center, New York University, New York, New York, USA
| | - William Y. Kim
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medicine
- Department of Genetics, and
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Zhou M, Meng L, He Q, Ren C, Li C. Valsartan attenuates LPS-induced ALI by modulating NF-κB and MAPK pathways. Front Pharmacol 2024; 15:1321095. [PMID: 38288441 PMCID: PMC10822936 DOI: 10.3389/fphar.2024.1321095] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 01/04/2024] [Indexed: 01/31/2024] Open
Abstract
Background: Acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) is a common respiratory disease characterized by persistent hypoxemia and an uncontrolled inflammatory response. Valsartan, an angiotensin II type 1 receptor antagonist, is clinically used to treat hypertension and has anti-inflammatory and antioxidant effects on gefitinib-induced pneumonia in rats. However, the potential therapeutic effects of valsartan on lipopolysaccharide (LPS)-induced ALI remain unclear. This study investigated the protective role of valsartan in LPS-induced ALI and its underlying mechanisms. Methods: LPS-treated BEAS-2B cells and ALI mouse model were established. BEAS-2B cells were treated with LPS (10 μg/mL) for 24h, with or without valsartan (20, 40, and 80 µM). For ALI mouse models, LPS (5 mg/kg) was administered through intratracheal injection to treat the mice for 24h, and valsartan (10 or 30 mg/kg) was injected intraperitoneally twice 2 h before and 12 h after the LPS injection. Pulmonary functional parameters were examined by an EMKA pulmonary system. Hematoxylin and eosin staining, flow cytometry, CCK-8 assay, qRT-PCR, ELISA, immunofluorescence, Western blotting, and related commercial kits were used to assess the pathological damage to the lungs, neutrophil recruitment in the lung tissue and bronchoalveolar lavage fluid (BALF), cell viability, inflammation, oxidative activity, and mucus production, respectively. Potential mechanisms were further explored using network pharmacology and Western blotting. Results: Valsartan rescued LPS-reduced cell viability of BEAS-2B cells, improved the pulmonary function, ameliorated pathological lung injury in mice with ALI, ameliorated LPS-induced neutrophil recruitment in BALF and lung tissue of mice, attenuated oxidative stress by increasing the level of SOD and decreasing that of MDA and GSSG, inhibited LPS-induced MUC5AC overproduction, decreased the LPS-induced increase in expression of pro-inflammatory cytokines/chemokines including TNF-α, IL-6, IL-1β, CXCL-1 and CXCL-2, and restored the expression of anti-inflammatory IL-10. Mechanistic studies showed that valsartan inhibits LPS-induced phosphorylation of nuclear factor-kappa B (NF-κΒ) and mitogen-activated protein kinases (MAPKs) including P38, extracellular signal-regulated kinase (ERK), and c-Jun N-terminal kinase (JNK) in both LPS-treated cells and the mouse model of ALI. Conclusion: Valsartan protects against LPS-induced ALI by attenuating oxidative stress, reducing MUC5AC production, and attenuating the inflammatory response that may involve MAPK and NF-κΒ pathways.
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Affiliation(s)
- Mi Zhou
- Department of Respiratory and Critical Care, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Laboratory of Developmental Biology, Department of Cell Biology and Genetics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Ling Meng
- Laboratory of Developmental Biology, Department of Cell Biology and Genetics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Qinke He
- Laboratory of Developmental Biology, Department of Cell Biology and Genetics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Chunguang Ren
- Laboratory of Developmental Biology, Department of Cell Biology and Genetics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Changyi Li
- Department of Respiratory and Critical Care, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Zeng L, Chen H, Xiang H, Zeng M, Zhou M, Tan C, Liu H, Chen G. Comparative pharmacoeconomic analysis of rituximab and traditional tacrolimus regimens in membranous nephropathy in China. Front Pharmacol 2024; 14:1309930. [PMID: 38259264 PMCID: PMC10800561 DOI: 10.3389/fphar.2023.1309930] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
Background: Rituximab (RTX) is a monoclonal antibody that selectively targets CD20 and is frequently used in the treatment of membranous nephropathy (MN). Analysis of the therapeutic efficacy and safety of RTX in treating MN in practice and a comparative pharmacoeconomic analysis of the RTX and traditional tacrolimus (TAC) regimens can provide valuable insights to aid decision-making by the government and relevant medical insurance departments. Methods: We conducted a statistical analysis of medical records from patients diagnosed with MN who underwent RTX treatment between 1 January 2019 and 1 January 2023. The TAC data were obtained from the clinical literature. The efficacy rates and incidence of adverse effects (AEs) were calculated to compare the efficacy and safety of RTX and TAC. Based on the patient's disease status, we developed a Markov model to compare the total cost, remission rate, and incremental cost-effectiveness ratio (ICER) of the two regimens. Both univariate and probability sensitivity analyses were performed to validate the stability of the developed model. Results: The RTX group enrolled 53 patients with MN, and the 12-month overall efficacy rate was not significantly different from that of the TAC group with 35 patients (86.79% vs. 71.4%, p = 0.0131); however, the relapse rate was significantly lower in the RTX group (3.77% vs. 22.8%, p = 0.016). The RTX group demonstrated no severe AEs (SAEs), while the TAC group demonstrated six cases of SAEs, including 4 cases of severe pneumonia, 1 case of lung abscess and 1 case of interstitial lung disease, accounting for 7.89% of traditional tacrolimus-treated patients. The baseline analysis results revealed that over a 5-year post-treatment period, RTX increased quality-adjusted life years (QALYs) by 0.058 and costs by ¥7,341. Assuming three times the 2022 domestic gross domestic product as the willingness-to-pay (WTP) threshold per QALY, the ICER of RTX compared to TAC was ¥124,631.14/QALY, which is less than the WTP threshold of ¥257,094/QALY, indicating that RTX treatment is approximately two times more cost-effective compared to TAC. Conclusion: The current analysis indicates that despite the expensive unit price of RTX, it remains a cost-effective treatment option for MN compared to TAC.
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Affiliation(s)
- Li Zeng
- Department of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Huihui Chen
- Clinical Immunology Research Center of Central South University, Changsha, China
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Heng Xiang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Mengru Zeng
- Department of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Mi Zhou
- Department of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chongqing Tan
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Hong Liu
- Department of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Guochun Chen
- Department of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Immunology Research Center of Central South University, Changsha, China
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Zeng H, Zhou M, Ge Y, Yao Y, Cai X. Digital workflow in the design of individualized emergence profiles of implant restorations based on the contralateral tooth. J Prosthodont Res 2024:JPR_D_23_00127. [PMID: 38171768 DOI: 10.2186/jpr.jpr_d_23_00127] [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: 01/05/2024]
Abstract
PURPOSE To describe a novel digital design technique for creating an individualized emergence profile for implant restoration based on the contralateral tooth. METHODS Cone beam computed tomography (CBCT) data were used to accurately obtain a three-dimensional (3D) model of the contralateral tooth, which was mirror-flipped to design the emergence profile. The emergence profile was further divided into critical and subcritical areas; the critical area precisely replicated the mirror-flipped 3D model, whereas the subcritical area featured a slight concavity on the buccal side, flatness on the lingual side, and slight convexity on the mesial and distal surfaces. Subsequently, a milling machine was used to fabricate healing abutments with individualized emergence profiles. The design of the definitive restoration completely duplicated the emergence profile of the individualized healing abutment and was fabricated using a milling machine. CONCLUSIONS This technical procedure presents an alternative novel method for designing the emergence profiles of implant restorations, with the potential to improve esthetics and functions as well as to maintain the long-term stability of peri-implant soft and hard tissues.
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Affiliation(s)
- Huimin Zeng
- Department of Dental Technology, Department of Implant Dentistry, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Mi Zhou
- Department of Implant Dentistry, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yichen Ge
- Department of Implant Dentistry, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yangxue Yao
- Department of Implant Dentistry, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xiaoxiao Cai
- Department of Implant Dentistry, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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Mao J, Hu H, Zhao Y, Zhou M, Yang X. Association Between Composite Dietary Antioxidant Index and Cognitive Function Among Aging Americans from NHANES 2011-2014. J Alzheimers Dis 2024; 98:1377-1389. [PMID: 38578890 DOI: 10.3233/jad-231189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024]
Abstract
Background Antioxidant diets are considered to be protective factors for cognitive function. However, comprehensive measures of antioxidant diets are lacking. Objective To examine the association between the Composite Dietary Antioxidant Index (CDAI) and cognitive function in the elderly. Methods This cross-sectional study included a total of 2,456 participants (≥60 years old) from NHANES 2011-2014. Calculation of CDAI based on 6 minerals and vitamins (manganese, selenium, zinc, vitamins A, C, and E). Cognitive function was measured by the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Word Learning sub-test, Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). We also created a composite cognitive z-score to represent global cognition. The statistical analyses we used included multiple linear regression analyses, subgroup analyses, curve-fitting analyses, and threshold effects analyses. Results After controlling for demographic characteristics, lifestyle factors, and disease history, multivariate linear regression analyses showed that increased CDAI was positively associated with scores on global cognitive function and each cognitive domain (p < 0.05), with subgroup analyses suggesting that this association was more pronounced in stroke patients (p for interaction < 0.05). Curve-fitting analyses and threshold effect analyses showed saturation effects between CDAI and CREAD Test, AFT, and composite Z-score, and an inverted U-shaped relationship with DSST, with inflection points of -1.89, 0.79, 1.13, and 1.77, respectively. Conclusions Our findings support that higher levels of CDAI are correlated with significantly elevated cognitive function. Maintaining CDAI in an appropriate range may contribute to cognitive health in elderly.
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Affiliation(s)
- Jiesheng Mao
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou People's Hospital, Zhejiang, China
| | - Haoxiang Hu
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou People's Hospital, Zhejiang, China
| | - Yunhan Zhao
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou People's Hospital, Zhejiang, China
| | - Mi Zhou
- Third Affiliated Hospital, School of Medicine, Shanghai University, Shanghai, China
| | - Xiaokai Yang
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou People's Hospital, Zhejiang, China
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Liu Y, Qin K, Zhu J, Yao H, Wang Z, Zhou M, Ye X, Li H, Qiu J, Zhu Y, Zhao Q. Radial artery graft in coronary artery bypass surgery 1 week to 1 year postoperation. J Thorac Dis 2023; 15:6408-6418. [PMID: 38249909 PMCID: PMC10797406 DOI: 10.21037/jtd-23-574] [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: 04/06/2023] [Accepted: 09/08/2023] [Indexed: 01/23/2024]
Abstract
Background The actual patency rate of the radial artery (RA) grafts 1 week and 1 year after coronary artery bypass grafting (CABG) has not been extensively reported on. We used coronary computed tomography angiography (CCTA) to evaluate the patency rate of RA grafts and compared it with that of saphenous vein (SV) grafts. Methods In this observational cohort study, 80 patients who underwent urgent or elective CABG with RA and SV grafts at Ruijin Hospital from August 2019 to June 2021 were included. Follow-up CCTA scans were completed about 1 year postoperation in the out-patient clinic. We graded the grafts into four classes: A, excellent; B, graft diameter <50% of target coronary artery; O, occluded; and S, string sign. Both S and O were defined as graft failure. Results The patients' mean age was 58.48±8.06 years, and 87.5% (70/80) of the patients were male. The 1-week patency rate of the left internal mammary artery (LIMA), RA, and SV grafts were 98.7% (75/76), 76.3% (61/80), and 93.8% (75/80), respectively. At 1 year, the patency rate of the LIMA, RA, and SV grafts were 97.4% (74/76), 80.0% (64/80), and 81.3% (65/80), respectively. The RA graft patency rate was lower than was the SV graft patency rate perioperatively [relative risk (RR): 0.918; 95% confidence interval (CI): 0.852-0.990; P=0.007]. Moreover, 63.6% (7/11) of RA grafts graded S and 25.0% (2/8) of RA grafts graded O were defined as patent (graded A or B) at 1 year postoperation. Compared with SV grafts, more RA grafts improved (RA: 12/80, 15.0%; SV: 0%) and fewer RA grafts deteriorated (RV: 10/80, 12.5%; SV: 19/80, 23.8%) from 1 week to 1 year (P=0.001). The patency rate of the 2 types of grafts became similar at 1 year postoperation (RR: 0.560; 95% CI: 0.113-2.781; P>0.99). Conclusions RA grafts had a lower patency rate than did SV grafts 1 week after operation. However, because of the "revival" phenomena and lower attrition rate, the patency rate of the two kinds of grafts did not show any significant difference at 1 year.
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Affiliation(s)
- Yun Liu
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kaijie Qin
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaxi Zhu
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haoyi Yao
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhe Wang
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mi Zhou
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaofeng Ye
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiqing Li
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiapei Qiu
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yunpeng Zhu
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiang Zhao
- Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhou M, Zhang H, Jiao S, Chakravarthula P, Geng Z. End-to-end compression-aware computer-generated holography. Opt Express 2023; 31:43908-43919. [PMID: 38178475 DOI: 10.1364/oe.505447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/28/2023] [Indexed: 01/06/2024]
Abstract
Joint photographic experts group (JPEG) compression standard is widely adopted for digital images. However, as JPEG encoding is not designed for holograms, applying it typically leads to severe distortions in holographic projections. In this work, we overcome this problem by taking into account the influence of JPEG compression on hologram generation in an end-to-end fashion. To this end, we introduce a novel approach to merge the process of hologram generation and JPEG compression with one differentiable model, enabling joint optimization via efficient first-order solvers. Our JPEG-aware end-to-end optimized holograms show significant improvements compared to conventional holograms compressed using JPEG standard both in simulation and on experimental display prototype. Specifically, the proposed algorithm shows improvements of 4 dB in peak signal-to-noise ratio (PSNR) and 0.27 in structural similarity (SSIM) metrics, under the same compression rate. When maintained with the same reconstruction quality, our method reduces the size of compressed holograms by about 35% compared to conventional JPEG-compressed holograms. Consistent with simulations, the experimental results further demonstrate that our method is robust to JPEG compression loss. Moreover, our method generates holograms compatible with the JPEG standard, making it friendly to a wide range of commercial software and edge devices.
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Zhou M, Xu Y, Zhou Y. Factors influencing the healthcare transition in Chinese adolescents with inflammatory bowel disease: a multi-perspective qualitative study. BMC Gastroenterol 2023; 23:445. [PMID: 38110881 PMCID: PMC10729466 DOI: 10.1186/s12876-023-03080-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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 12/08/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND The development and implementation of the transition from pediatric to adult healthcare systems for adolescents with inflammatory bowel disease (IBD) should consider stakeholders' perceptions. This study aimed to explore the factors influencing the transition of Chinese adolescents with IBD from the perspectives of patients, parents, and healthcare providers. METHODS A descriptive qualitative research was conducted. Purposive sampling was used to recruit 36 participants, including 13 patients, 13 parents, and 10 providers, from a tertiary pediatric IBD center, a tertiary adult IBD center, and the China Crohn's & Colitis Foundation in Zhejiang Province, China. Individual semi-structured interviews were used to collect data on facilitators and barriers to the transition process. Conventional content analysis was used to analyze the interview transcripts. RESULTS Nine primary themes were identified. Patients with young age, prolonged disease duration, severe disease, academic pressures such as the Gaokao, low level of disease acceptance, limited transition consciousness, low self-efficacy, poor transition communication, and inadequate medical transition system serve as barriers. While patients with the mentality of guilt towards their parents; parents with low education levels and intensive work schedules, high levels of disease acceptance, and situations of parent-child separation; stakeholders with high transition consciousness, high transition self-efficacy, and effective transition communication act as facilitators. Furthermore, community support and hospital guide services were also contributing factors during the transition. CONCLUSIONS This study offers comprehensive insights into the factors affecting the transition of Chinese adolescent IBD patients. The process is continuously influenced by stakeholders, community, and healthcare environments and policies. Identifying these factors provides healthcare providers with a reference for developing and implementing targeted transition interventions.
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Affiliation(s)
- Mi Zhou
- School of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang, 310053, China
| | - Youjun Xu
- School of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang, 310053, China
| | - Yunxian Zhou
- School of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang, 310053, China.
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Zhao M, Zhou M, Huang JT, Rao Q, Teng XD. [Advance on the classification of prostate cancer with neuroendocrine differentiation]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1193-1196. [PMID: 38058033 DOI: 10.3760/cma.j.cn112151-20230924-00210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Affiliation(s)
- M Zhao
- Ningbo Clinical Pathology Diagnosis Center, Ningbo 315000, China
| | - M Zhou
- Department of Pathology, Tufts University School of Medicine, Boston 02215, U S A
| | - J T Huang
- Department of Pathology, Duke University School of Medicine, Durham 27710, U S A
| | - Q Rao
- Department of Pathology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - X D Teng
- Department of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
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