1
|
Dong Z, Guo Z, Guan M, Zhang Y, Xie P. FDG-Avid Periprosthetic Particle Disease Mimicking Osteosarcoma Recurrence. Clin Nucl Med 2024; 49:356-358. [PMID: 38271228 DOI: 10.1097/rlu.0000000000005061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
ABSTRACT A 24-year-old man with a history of osteosarcoma presented with swelling in his right thigh for more than 1 year. 18 F-FDG PET/CT demonstrated increased FDG uptake in multiple juxtacortical masses around the prosthesis, which highly suggested the possibility of osteosarcoma recurrence. A biopsy was performed, and the pathology confirmed the diagnosis of particle disease. The current case indicates that particle disease should be considered when interpreting the PET/CT images with high FDG uptake around the prosthesis.
Collapse
Affiliation(s)
- Ziqian Dong
- From the Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China
| | | | | | | | | |
Collapse
|
2
|
Guo Z, Zhang R, Guo C, Li X, Jin Z, Liu Q. A retrospective study of alveolar bone remodelling after anterior retraction in orthodontic tooth extraction cases with clear aligners and fixed appliances. Orthod Craniofac Res 2024; 27:220-227. [PMID: 37578004 DOI: 10.1111/ocr.12705] [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: 02/24/2023] [Revised: 07/24/2023] [Accepted: 08/03/2023] [Indexed: 08/15/2023]
Abstract
OBJECTIVES To evaluate alveolar bone dimensions and its relationship with tooth movement (retraction, intrusion and torque) during orthodontic treatment with fixed appliance and clear aligners. METHODS Thirty-two patients were included in this retrospective clinical study. Cone beam computed tomography (CBCT) was collected before and after treatment to measure the volume of dehiscence and fenestrations in the maxillary anterior region, anterior alveolar bone thickness and height and degree of tooth movement. Rank-sum tests were used to compare the differences in alveolar bone defect volumes between clear aligners and fixed appliance, multiple linear regression analysis was used for study evaluation, and kappa statistics were used to assess internal consistency and test-retest reliability. RESULTS Post-operatively, most alveolar bone defects occurred on the labial side. The incidence of bone fenestration was 23.96% in the clear aligner group and 26.18% in the fixed appliance group, which was higher than the incidence of bone dehiscence (5.21%). The labial bone height decreased by 0.272 mm, and the palatal bone height increased by 0.617 mm for every 1 mm downward intrusion of the anterior tooth apex in the fixed appliance group. In the clear aligner group, there was no significant change in the labial bone height, and the palatal bone height decreased by 0.447 mm for every 1 mm of anterior tooth retraction coronally. CONCLUSIONS In the fixed appliance group, anterior tooth intrusion and retraction may have led to alveolar bone resorption by its compression at the cervical level. This study provides a three-dimensional tooth movement evaluation method by using CBCT.
Collapse
Affiliation(s)
- Ziyu Guo
- Department of Orthodontics, State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Ruijie Zhang
- Department of Orthodontics, State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Changgang Guo
- Department of Orthodontics, State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Xin Li
- Department of Orthodontics, State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Zuolin Jin
- Department of Orthodontics, State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Qian Liu
- Department of Orthodontics, State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| |
Collapse
|
3
|
Guo Z, Dong Z, Chen F, Wei L, Xie P. Drinking Large Volume of Hot Water May Cause Increased 18F-FDG Uptake in Esophagus. Clin Nucl Med 2024:00003072-990000000-01009. [PMID: 38498663 DOI: 10.1097/rlu.0000000000005170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
ABSTRACT We present 2 cases of diffuse FDG accumulation in the esophagus due to drinking hot water before an 18F-FDG PET/CT scan. Drinking large volume of hot water immediately before the FDG PET/CT study may lead to challenges in the interpretation of the hypermetabolic esophagus.
Collapse
Affiliation(s)
- Ziyu Guo
- From the Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | | | | | | | | |
Collapse
|
4
|
Liu P, Shao L, Zhang Y, Silvonen V, Oswin H, Cao Y, Guo Z, Ma X, Morawska L. Atmospheric microplastic deposition associated with GDP and population growth: Insights from megacities in northern China. J Hazard Mater 2024; 469:134024. [PMID: 38493631 DOI: 10.1016/j.jhazmat.2024.134024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/15/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024]
Abstract
Microplastic (MP) pollution is evolving into one of the most pressing environmental concerns worldwide. This study assessed the impact of economic activities on atmospheric MP pollution across 17 megacities in northern China, analyzing the correlation between the deposition flux of atmospheric MPs and variables such as city population, gross domestic product (GDP), and industrial structure. The results have shown that the MP pollution is obviously impacted by human activities related to increased GDP, population, as well as tertiary service sector, in which the MP pollution shows most close relationship with the GDP growth. Polypropylene, polyamide, polyurethane, and polyethylene were identified as the primary components of atmospheric MPs. The average particle size of MPs in atmospheric dustfall is 78.3 µm, and the frequency of MP particles increases as the particle size decreases. The findings highlight the complex relationship between socio-economic development and atmospheric MP accumulation, providing essential insights for the formulation of targeted emission reduction strategies.
Collapse
Affiliation(s)
- Pengju Liu
- State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; International Laboratory for Air Quality and Health (ILAQH), Queensland University of Technology, Brisbane, Queensland 4000, Australia
| | - Longyi Shao
- State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
| | - Yaxing Zhang
- State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Ville Silvonen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere 33014, Finland
| | - Henry Oswin
- International Laboratory for Air Quality and Health (ILAQH), Queensland University of Technology, Brisbane, Queensland 4000, Australia
| | - Yaxin Cao
- State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Ziyu Guo
- State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Xuying Ma
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
| | - Lidia Morawska
- International Laboratory for Air Quality and Health (ILAQH), Queensland University of Technology, Brisbane, Queensland 4000, Australia
| |
Collapse
|
5
|
Chen X, Liang Y, Guo Z, Huang R, Zheng W, Wu W, Li W. Photodynamic therapy combined with antifungal drugs against kerion: A report of six cases and literature review. Photodiagnosis Photodyn Ther 2024; 46:104039. [PMID: 38452908 DOI: 10.1016/j.pdpdt.2024.104039] [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: 01/14/2024] [Revised: 03/02/2024] [Accepted: 03/04/2024] [Indexed: 03/09/2024]
Abstract
Kerion, a severe manifestation of tinea capitis caused by dermatophytes, is a fungal skin disease primarily affecting children. This report discusses six cases of pediatric kerion that were successfully treated with a combination of photodynamic therapy (PDT) and antifungal agents. Additionally, we conducted a literature review, identifying and analyzing six published reports on kerion and tinea capitis. The characteristics and efficacies of these cases are summarized. In summary, early combination therapy and proactive pre-treatment interventions proved effective in maximizing therapeutic outcomes, reducing disease duration and minimizing adverse reactions such as cicatricial alopecia. This approach has emerged as a favorable choice for the treatment of kerion.
Collapse
Affiliation(s)
- Xiaoli Chen
- Department of Plastic and Dermatologic Surgery, The Fifth People's Hospital of Hainan Province, Haikou, Hainan, China; Department of Plastic and Dermatological Surgery, Affiliated Dermatology Hospital of Hainan Medical University, Haikou, Hainan, China
| | - Yujia Liang
- Department of Plastic and Dermatologic Surgery, The Fifth People's Hospital of Hainan Province, Haikou, Hainan, China; Department of Plastic and Dermatological Surgery, Affiliated Dermatology Hospital of Hainan Medical University, Haikou, Hainan, China
| | - Ziyu Guo
- Department of Plastic and Dermatologic Surgery, The Fifth People's Hospital of Hainan Province, Haikou, Hainan, China; Department of Plastic and Dermatological Surgery, Affiliated Dermatology Hospital of Hainan Medical University, Haikou, Hainan, China
| | - Ruiye Huang
- Department of Plastic and Dermatologic Surgery, The Fifth People's Hospital of Hainan Province, Haikou, Hainan, China; Department of Plastic and Dermatological Surgery, Affiliated Dermatology Hospital of Hainan Medical University, Haikou, Hainan, China
| | - Wenai Zheng
- Department of Laboratory Medicine, The Fifth People's Hospital of Hainan Province, Haikou, Hainan, China
| | - Weiwei Wu
- Department of Plastic and Dermatologic Surgery, The Fifth People's Hospital of Hainan Province, Haikou, Hainan, China; Department of Plastic and Dermatological Surgery, Affiliated Dermatology Hospital of Hainan Medical University, Haikou, Hainan, China.
| | - Wen Li
- Department of Plastic and Dermatologic Surgery, The Fifth People's Hospital of Hainan Province, Haikou, Hainan, China; Department of Plastic and Dermatological Surgery, Affiliated Dermatology Hospital of Hainan Medical University, Haikou, Hainan, China.
| |
Collapse
|
6
|
Liu P, Shao L, Zhang Y, Silvonen V, Oswin H, Cao Y, Guo Z, Ma X, Morawska L. Comparative study on physicochemical characteristics of atmospheric microplastics in winter in inland and coastal megacities: A case of Beijing and Shanghai, China. Sci Total Environ 2024; 912:169308. [PMID: 38101632 DOI: 10.1016/j.scitotenv.2023.169308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 12/17/2023]
Abstract
Atmospheric microplastics (MPs) have received global attention across various sectors of society due to their potential negative impacts. This study aims to understand the physicochemical characteristics of MPs in inland and coastal megacities for raising awareness about the urgent need to reduce plastic pollution. Laser Direct Infrared Imaging (LDIR) and Scanning Electron Microscopy (SEM) with Energy Dispersive X-ray Spectroscopy (EDX) techniques were employed to characterize atmospheric MPs in megacities (inland megacity Beijing and coastal megacity Shanghai) in China, focusing on their physicochemical characteristics, including compositional types, number concentration, morphology, size, possible sources, and potential health risks. The LDIR analysis identified sixteen different types of MPs present in the atmospheres of Beijing and Shanghai. The number concentration of atmospheric MPs in Beijing (3.0 items/m3) is 1.8 times that of Shanghai (1.7 items/m3). The study found that the variations in MP pollution between Beijing and Shanghai are influenced by the urban industrial structure and geographical location. Morphological analysis indicates that fragment MPs have the highest relative abundance in Beijing, while fibrous MPs dominate the atmosphere of Shanghai. Additionally, the study assessed the potential health risks of atmospheric MPs to urban residents. The results suggest that residents of Beijing face more severe health risks from atmospheric MPs compared to those in Shanghai. These findings underscore the urgency to address the issue of atmospheric MPs and provide crucial evidence for the formulation of relevant environmental and health policies.
Collapse
Affiliation(s)
- Pengju Liu
- State Key Laboratory of Coal Resources and Safe Mining & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; International Laboratory for Air Quality and Health (ILAQH), Queensland University of Technology, Brisbane, Queensland 4000, Australia
| | - Longyi Shao
- State Key Laboratory of Coal Resources and Safe Mining & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
| | - Yaxing Zhang
- State Key Laboratory of Coal Resources and Safe Mining & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Ville Silvonen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere 33014, Finland
| | - Henry Oswin
- International Laboratory for Air Quality and Health (ILAQH), Queensland University of Technology, Brisbane, Queensland 4000, Australia
| | - Yaxin Cao
- State Key Laboratory of Coal Resources and Safe Mining & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Ziyu Guo
- State Key Laboratory of Coal Resources and Safe Mining & College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Xuying Ma
- College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
| | - Lidia Morawska
- International Laboratory for Air Quality and Health (ILAQH), Queensland University of Technology, Brisbane, Queensland 4000, Australia
| |
Collapse
|
7
|
Qi J, Liu H, Zhou Z, Jiang Y, Fan W, Hu J, Li J, Guo Z, Xie M, Huang W, Zhang Q, Hou S. Genome-wide association study identifies multiple loci influencing duck serum biochemical indicators in the laying period. Br Poult Sci 2024; 65:8-18. [PMID: 38284741 DOI: 10.1080/00071668.2023.2272982] [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: 10/24/2022] [Accepted: 09/12/2023] [Indexed: 01/30/2024]
Abstract
1. Laying performance is an important economic trait in poultry. The blood is essential in transporting nutrients to the yolk and albumen and is necessary for egg formation.2. This study calculated the phenotypic relationships of duck egg quality, egg production efficiency and 22 serum parameters in the egg-laying stage. Using a variety of methodologies, a genome-wide association study (GWAS) was carried out to uncover the genetic foundations of the 22 serum biochemical markers of laying ducks.3. Spearman correlation coefficients between the egg production (226-329 per day) and the serum parameters were all weak, being less than 0.3. This analysis was done on 22 serum parameters, with total protein (TP), total triglycerides (TG), calcium (Ca) and phosphorous (P) having the highest correlation coefficients (r = 0.56-0.88). The coefficients for blood markers, such as total cholesterol (CHOL), total bilirubin (TBIL), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) varied from 0.70-0.94.4. Based on single-marker single-trait genome-wide analyses by a mixed linear model program of EMMAX, nine candidate genes were associated with enzyme traits (AST/ALT aspartate transaminase/glutamic-pyruvic transaminase, creatine kinase) and 19 candidate genes were associated with metabolism and protein-related serum parameters (glucose, total bile acid, uric acid (UA), albumin (ALB).5. The mvLMM (multivariate linear mixed model) of GEMMA software was used to carry out multiple trait integrated GWAS. Two candidate genes were found in the TP-TG-CA-P analysis and seven candidate genes in the CHOL_LDL-C_HDL-C_TBIL study. There was a high genetic correlation between the two groups.
Collapse
Affiliation(s)
- J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Z Zhou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Y Jiang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Fan
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Hu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Z Guo
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - M Xie
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Huang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Q Zhang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - S Hou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| |
Collapse
|
8
|
Guo Z, Wang M, Pan Y, Lu H, Pan S. Ecological assessment of stream water polluted by phosphorus chemical plant: Physiological, biochemical, and molecular effects on zebrafish (Danio rerio) embryos. Environ Res 2024; 247:118173. [PMID: 38224935 DOI: 10.1016/j.envres.2024.118173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/15/2023] [Accepted: 01/09/2024] [Indexed: 01/17/2024]
Abstract
The rapid development of the phosphorus chemical industry has caused serious pollution problems in the regional eco-environment. However, understanding of their ecotoxic effects remains limited. This study aimed to investigate the developmental toxicity of a stream polluted by a phosphorus chemical plant (PCP) on zebrafish embryos. For this, zebrafish embryos were exposed to stream water (0, 25, 50, and 100% v/v) for 96 h, and developmental toxicity, oxidative stress, apoptosis, and DNA damage were assessed. Stream water-treated embryos exhibited decreased hatching rates, heart rates, and body lengths, as well as increased mortality and malformation rates. The general morphology score system indicated that the swim bladder and pigmentation were the main abnormal morphological endpoints. Stream water promoted antioxidant enzymes (superoxide dismutase (SOD), peroxidase (POD), and glutathione peroxidase (GPx)), lipid peroxidation, and DNA damage. It also triggered apoptosis in the embryos' heads, hearts, and spines by activating apoptotic enzymes (Caspase-3 and Caspase-9). Additionally, stream water influenced growth, oxidative stress, and apoptosis-related 19 gene expression. Notably, tyr, sod (Mn), and caspase9 were the most sensitive indicators of growth, oxidative stress, and apoptosis, respectively. The current trial concluded that PCP-polluted stream water exhibited significant developmental toxicity to zebrafish embryos, which was regulated by the oxidative stress-mediated activation of endogenous apoptotic signaling pathways.
Collapse
Affiliation(s)
- Ziyu Guo
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China.
| | - Min Wang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China.
| | - Yuwei Pan
- College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China.
| | - Hongliang Lu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China.
| | - Sha Pan
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China.
| |
Collapse
|
9
|
Guo Z, Niu Q, Mi X, Yang B, Cai M, Liang Y. Sirt1 activation prevents high glucose-induced angiotensin converting enzyme 2 downregulation in renal tubular cells by regulating the TIMP3/ADAM17 pathway. Mol Biol Rep 2024; 51:81. [PMID: 38183511 DOI: 10.1007/s11033-023-08957-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/17/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Angiotensin converting enzyme 2 (ACE2) exerts renoprotective effects in diabetic kidney disease (DKD) by converting angiotensin (Ang) II into Ang (1-7). Previous studies have demonstrated that ACE2 expression in renal tubules is downregulated in DKD, but the mechanism is not fully understood. Sirtuin-1 (Sirt1) is a protein deacetylase that may regulate the activity of the renin-angiotensin system. The present study investigated the effects of Sirt1 on ACE2 expression under high glucose (HG) conditions and the underlying signaling pathway. METHODS AND RESULTS Rats with DKD and NRK-52E cells cultured with HG were employed in this study. Western blotting, immunohistochemistry detection and qRT-PCR were performed for protein and mRNA expression analyses. Rats subjected to DKD displayed downregulated expression of Sirt1 and ACE2 in kidneys. Resveratrol, an activator of Sirt1, restored ACE2 expression and ameliorated renal injuries. Similarly, pharmacological activation of Sirt1 with SRT1720 markedly upregulated ACE2 in NRK-52E cells cultured with HG, while Sirt1 small interfering RNA (siRNA) further suppressed ACE2 expression. In addition, A disintegrin and metalloproteinase (ADAM) 17 was observed to be upregulated, and its inhibitor, tissue inhibitor of metalloproteinase 3 (TIMP3), was downregulated in the kidneys of diabetic rats and NRK-52E cells incubated with HG. The TIMP3/ADAM17 pathway was involved in the regulation of ACE2 expression, as evidenced by decreased ACE2 expression levels after TIMP3-siRNA pretreatment. SRT1720 ameliorated the imbalance of TIMP3/ADAM17 induced by HG and consequently enhanced the expression of ACE2. Notably, the above effect of SRT1720 on ACE2 was interrupted by TIMP3-siRNA. CONCLUSIONS Our findings suggest that Sirt1 activation may prevent HG-induced downregulation of renal tubular ACE2 by modulating the TIMP3/ADAM17 pathway. Sirt1 stimulation might be a potential strategy for the treatment of DKD.
Collapse
Affiliation(s)
- Ziyu Guo
- Department of Nephrology, Peking University People's Hospital, No. 11, Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Qingyu Niu
- Department of Nephrology, Peking University People's Hospital, No. 11, Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Xinning Mi
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Bing Yang
- Department of Nephrology, Peking University People's Hospital, No. 11, Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Meishun Cai
- Department of Nephrology, Peking University People's Hospital, No. 11, Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Yaoxian Liang
- Department of Nephrology, Peking University People's Hospital, No. 11, Xizhimen South Street, Xicheng District, Beijing, 100044, China.
| |
Collapse
|
10
|
Guo Z, Wang Y, Liu J, He L, Zhu X, Zuo Y, Wang N, Yuan F, Sun Y, Zhang L, Song Y, Song C, Xu X. Mapping turnover of dissolved organic carbon in global topsoil. Sci Total Environ 2024; 906:167621. [PMID: 37804970 DOI: 10.1016/j.scitotenv.2023.167621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/09/2023]
Abstract
Dissolved organic carbon (DOC), the labile fraction of organic carbon, is a predominant substrate for microbes. Therefore, the turnover of DOC dominates microbial respiration in soils. We compiled a global dataset (1096 data points) of the turnover rates of DOC in 0-30 cm soil profiles and integrated the data with a machine learning algorithm to develop a global map of DOC turnover rate in global topsoil. The global DOC turnover rate in 0-30 cm soil was averaged as 0.0087 day-1, with a considerable variation among biomes. The fastest DOC turnover rate was found in tropical forests (0.0175 day-1) and the lowest in tundra (0.0036 day-1), exhibiting a declining trend from low to high latitudes. The DOC turnover rate is primarily controlled by edaphic and climate factors, as confirmed by the analyses with the structural equation model and the Mental's test. With a machine learning algorithm, we produced global maps of DOC turnover rate at a monthly scale, which were further combined with a global dataset of DOC density to produce monthly maps of carbon mineralization from DOC turnover in topsoil. The annual carbon release from DOC was estimated as 27.98 Pg C year-1 from topsoil across the globe, with the largest contribution from forest biomes, followed by pasture and grassland. Tundra released the least carbon from DOC due to its low turnover rate suppressed by low temperatures. The biome- and global-scale information of DOC turnover rate and carbon release from DOC provide a benchmark for ecosystem models to better project soil carbon dynamics and their contributions to global carbon cycling in the changing environment.
Collapse
Affiliation(s)
- Ziyu Guo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yihui Wang
- Biology Department, San Diego State University, San Diego, CA 92182, USA.
| | - Jianzhao Liu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liyuan He
- Biology Department, San Diego State University, San Diego, CA 92182, USA
| | - Xinhao Zhu
- Biology Department, San Diego State University, San Diego, CA 92182, USA
| | - Yunjiang Zuo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Nannan Wang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China
| | - Fenghui Yuan
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China
| | - Ying Sun
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China
| | - Lihua Zhang
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Yanyu Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China
| | - Changchun Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130012, China.
| | - Xiaofeng Xu
- Biology Department, San Diego State University, San Diego, CA 92182, USA.
| |
Collapse
|
11
|
Guo Z, Hafeez M, Wang W, Kaium MA, Bilal A, Zahan I. Is the economic uncertainty- human health relationship nonlinear? An empirical analysis for the China. PLoS One 2023; 18:e0293126. [PMID: 38060547 PMCID: PMC10703211 DOI: 10.1371/journal.pone.0293126] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 10/06/2023] [Indexed: 12/18/2023] Open
Abstract
The health costs of economic uncertainty always remain a major concern among policymakers of China. The theoretical and empirical literature on the economic uncertainty-human health nexus is still in its infancy stage. This study is firmly rooted in the economic uncertainty theory advanced by Baker, Bloom, & Davis. In this study, the primary objective of the analysis is to estimate the asymmetric impact of economic uncertainty on human health in China's economy. In order to evaluate the short and long-run estimates of economic uncertainty on human health across various quantiles, we have employed the linear and nonlinear QARDL models. The linear QARDL model shows that the long-run relationship between economic uncertainty and the infant mortality rate is positive and significant at all quantiles, while the long-run relationship between economic uncertainty and the death rate is positive and significant at higher quantiles. The nonlinear QARDL model reveals that, in the long run, the relationship between the positive shock of economic uncertainty and the infant mortality rate is positive and significant at quantiles 0.30 to 0.95, while the long-run relationship between the positive shock of economic uncertainty and the death rate is positive and significant at higher quantiles. The relationship between the negative shock of economic uncertainty and the infant mortality rate is negative and significant at the highest quantiles, while the relationship between the negative shock of economic uncertainty and death rate is negative and significant at higher quantiles in the long run. The findings indicate a positive relationship between economic uncertainty in China and higher rates of infant mortality and death. Thus, adopting suitable policies for controlling economic uncertainty can help in improving human health in China.
Collapse
Affiliation(s)
- Ziyu Guo
- Center for Disease Control and Prevention, Bao’an District, Shenzhen City, Guangdong Province, China
| | - Muhammad Hafeez
- Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon
- Institute of Business Management Sciences, University of Agriculture, Faisalabad, Pakistan
| | - Wenxin Wang
- School of Public Health, Shantou University, Shantou, Guangdong, People’s Republic of China
- Institute of Local Government Development, Shantou University, Shan‐Tou, People’s Republic of China
| | - Md. Abdul Kaium
- Department of Marketing, University of Barishal, Barishal, Bangladesh
| | - Ahmer Bilal
- School of Economics, Zhongnan University of Economics and Law, Wuhan, China
| | - Israt Zahan
- Department of Public Administration, University of Barishal, Barishal, Bangladesh
| |
Collapse
|
12
|
Zhang P, Ma X, Zhang Q, Guo Z, Hao J, Zhang Z, Sun M, Liu Y. Determination of Volatile Organic Compounds and Endogenous Extracts and Study of Expression Patterns of TPS and BSMT in the Flowers of Seven Lilium Cultivars. Molecules 2023; 28:7938. [PMID: 38138428 PMCID: PMC10745987 DOI: 10.3390/molecules28247938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/22/2023] [Accepted: 11/29/2023] [Indexed: 12/24/2023] Open
Abstract
Lily is one of the most important cut flowers in the world, with a rich floral fragrance. To further explore the fragrance emission mechanisms of lily cultivars, headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) and organic solvent extraction-gas chromatography-mass spectrometry (OSE-GC-MS) were used to unveil the volatile organic compounds (VOCs) and endogenous extracts of seven lily cultivars. Furthermore, real-time quantitative PCR (qRT-PCR) was used to determine the expression levels of two key genes (TPS and BSMT) related to the biosynthesis of monoterpenoids and methyl benzoate. The results show that forty-five VOCs were detected in the petals of seven lily cultivars, and the main compounds were monoterpenoids and phenylpropanoids/benzenoids. Dichloromethane was the best solvent for extracting the endogenous extracts of Lilium 'Viviana' petals and eighteen endogenous extracts were detected using dichloromethane to extract the petals of seven lily cultivars. Each compound's emission ratio (natural logarithm of the ratio of VOC content to endogenous extract content) was calculated, and linear regression analyses between emission ratios and boiling points were conducted. Significant linear negative correlations existed between the emission ratios and boiling points of compounds, and the regression equations' coefficients of determination (R2) were all greater than 0.7. TPS was expressed highly in 'Viviana', 'Pink News', and 'Palazzo', and BSMT was expressed highly in 'Pink News' and 'Palazzo'. Correlation analyses between the gene expression levels and the monoterpenoids and methyl benzoate contents found that the TPS expression levels have strong positive correlations with monoterpenoids content, while no correlations were found between the expression levels of BSMT and the contents of methyl benzoate. This study lays the foundation for research on the release patterns of VOCs in the flowers of Lilium, and the breeding of lilies for their floral fragrance.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Ming Sun
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education, School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China; (P.Z.); (X.M.); (Q.Z.); (Z.G.); (J.H.); (Z.Z.)
| | - Yan Liu
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education, School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China; (P.Z.); (X.M.); (Q.Z.); (Z.G.); (J.H.); (Z.Z.)
| |
Collapse
|
13
|
Guo Z, Yiu N, Hu Z, Zhou W, Long X, Yang M, Liao J, Zhang G, Lu Q, Zhao M. Alterations of fecal microbiome and metabolome in pemphigus patients. J Autoimmun 2023; 141:103108. [PMID: 37714737 DOI: 10.1016/j.jaut.2023.103108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 07/12/2023] [Accepted: 08/24/2023] [Indexed: 09/17/2023]
Abstract
The role of gut microbiome and metabolic substances in the development of autoimmune diseases has gradually been revealed. However, the relevant gut features in pemphigus have not been well clarified. We collected stool samples from pemphigus patients and healthy controls (HCs). Metagenomic sequencing and liquid chromatography-mass spectrometry (LC/MS) metabolome sequencing were performed to analyze the compositional and metabolic alternations of the gut microbiome in pemphigus patients and HCs. We observed the reduced richness and diversity and greater heterogeneity in pemphigus patients, which was characterized by a significant decrease in Firmicutes and an increase in Proteobacteria. At the species level, Intestinal pathogenic bacteria such as Escherichia coli and Bacteroides fragilis were significantly enriched, while anti-inflammatory bacteria and butyric acid-producing bacteria were significantly reduced, which were related to clinical indicators (Dsg1/3 and PDAI). 4 species were selected by the machine learning algorithm to better distinguish pemphigus patients from healthy people. Metabolomic analysis showed that the composition of pemphigus patients was different from that of HCs. PE (18:3 (6Z,9Z, 12Z)/14:1 (9Z)) was the main metabolic substance in pemphigus and involved in a variety of metabolic pathways. While Retinol, flavonoid compounds and various amino acids decreased significantly compared with HCs. Furthermore, we found that differences in the levels of these metabolites correlated with changes in the abundance of specific species. Our study provides a comprehensive picture of gut microbiota and metabolites in pemphigus patients and suggests a potential mechanism of the aberrant gut microbiota and metabolites in the pathogenesis of pemphigus.
Collapse
Affiliation(s)
- Ziyu Guo
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Nam Yiu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Zhi Hu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Wenyu Zhou
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Xuan Long
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Miao Yang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Jieyue Liao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Guiying Zhang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China.
| | - Qianjin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing 210042, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China.
| | - Ming Zhao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central, South University, Changsha, Hunan, China; Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China; Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing 210042, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China.
| |
Collapse
|
14
|
Wang Y, Liu M, Guo Z, Liang Y, Lu Y, Xu Y, Sun M. Comparative Physiological and Transcriptome Analysis of Crossostephium chinense Reveals Its Molecular Mechanisms of Salt Tolerance. Int J Mol Sci 2023; 24:16812. [PMID: 38069143 PMCID: PMC10706559 DOI: 10.3390/ijms242316812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 12/18/2023] Open
Abstract
Crossostephium chinense is a wild species with strong salt tolerance that has great potential to improve the salt tolerance of cultivated chrysanthemums. Conversely, the unique salt-tolerant molecular mechanisms of Cr. chinense are still unclear. This study performed a comparative physiological and transcriptome analysis of Cr. chinense, Chrysanthemum lavandulifolium, and three hybrids to investigate the salt-tolerant molecular mechanisms of Cr. chinense. The physiological results showed that Cr. chinense maintained higher superoxide dismutase (SOD) activity, alleviating oxidative damage to the membrane. KEGG enrichment analysis showed that plant hormone signaling transduction and the MAPK signaling pathway were mostly enriched in Cr. chinense and hybrids under salt stress. Further weighted gene co-expression network analysis (WGCNA) of DEGs suggested that abscisic acid (ABA) signaling transduction may play a significant role in the salt-tolerant mechanisms of Cr. chinense and hybrids. The tissue-specific expression patterns of the candidate genes related to ABA signaling transduction and the MAPK signaling pathway indicate that genes related to ABA signaling transduction demonstrated significant expression levels under salt stress. This study offers important insights into exploring the underlying salt-tolerant mechanisms of Cr. chinense mediated by ABA signaling transduction and broadens our understanding of the breeding strategies for developing salt-tolerant cultivars utilizing salt-tolerant chrysanthemum germplasms.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Ming Sun
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education, School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China; (Y.W.); (M.L.); (Z.G.); (Y.L.); (Y.L.); (Y.X.)
| |
Collapse
|
15
|
Xie E, Li Q, Ye Z, Guo Z, Li Y, Shen N, Yu C, Gao Y, Zheng J. Canada acute coronary syndrome risk score predicts no-/slow-reflow in ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention. Heliyon 2023; 9:e21276. [PMID: 37920501 PMCID: PMC10618787 DOI: 10.1016/j.heliyon.2023.e21276] [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: 03/26/2023] [Revised: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023] Open
Abstract
Background The no-/slow-reflow phenomenon following primary percutaneous coronary intervention (PCI) in patients with ST-elevation myocardial infarction (STEMI)is associated with poor prognosis. The early identification of high-risk patients with no-/slow-reflow is critical. This study aimed to evaluate the predictive ability of the Canada Acute Coronary Syndrome (C-ACS) risk score for no-/slow-reflow in these patients. Methods Patients with STEMI who underwent primary PCI were consecutively enrolled and divided into three groups based on their C-ACS scores: 0, 1, and ≥2. The C-ACS score was computed using the four clinical variables evaluated at admission (one point for each): age ≥75 years, heart rate >100 beats/min, systolic blood pressure <100 mmHg, and Killip class >1. No-/slow-reflow was defined as thrombolysis in a myocardial infarction flow grade of 0-2 after primary PCI. The predictive ability of the C-ACS score for no-/slow-reflow was evaluated using a receiver operating characteristic curve. Results A total of 834 patients were enrolled, of whom 109 (13.1 %) developed no-/slow-reflow. The incidence of no-/slow-reflow increased from the C-ACS 0 group to the C-ACS ≥2 group (6.1 % vs 17.7 % vs 34.3 %, respectively, p < 0.001). After multivariable adjustment, the C-ACS score was an independent predictor of no-/slow-reflow (odd ratio 2.623, 95 % confidence interval 1.948-3.532, p < 0.001). Furthermore, the C-ACS score showed good discrimination for no-/slow-reflow (area under the curve 0.707, 95 % confidence interval 0.653-0.762, p < 0.001). Further subgroup analyses indicated a significant interaction between the C-ACS score and patient sex (p for interaction = 0.011). The independent association between the C-ACS score and no-/slow-reflow was only observed in male patients (odd ratio 3.061, 95 % confidence interval 1.931-4.852, p < 0.001). During a median follow-up duration of 4.3 years, the C-ACS score was independently associated with major adverse cardiovascular events independent of the occurrence of no-/slow-reflow (p for interaction = 0.212). Conclusion The C-ACS risk score could independently predict the no-/slow-reflow in patients with STEMI undergoing primary PCI, particularly in male patients.
Collapse
Affiliation(s)
- Enmin Xie
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
| | - Qing Li
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Zixiang Ye
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Ziyu Guo
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Yike Li
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
| | - Nan Shen
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Changan Yu
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Jingang Zheng
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| |
Collapse
|
16
|
Guo Z, Zhang Y, Qiu Z, Dong S, He S, Gao H, Zhang J, Chen Y, He B, Kong Z, Qiu Z, Li Y, Li C. An improved contrastive learning network for semi-supervised multi-structure segmentation in echocardiography. Front Cardiovasc Med 2023; 10:1266260. [PMID: 37808878 PMCID: PMC10556699 DOI: 10.3389/fcvm.2023.1266260] [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: 07/25/2023] [Accepted: 09/12/2023] [Indexed: 10/10/2023] Open
Abstract
Cardiac diseases have high mortality rates and are a significant threat to human health. Echocardiography is a commonly used imaging technique to diagnose cardiac diseases because of its portability, non-invasiveness and low cost. Precise segmentation of basic cardiac structures is crucial for cardiologists to efficiently diagnose cardiac diseases, but this task is challenging due to several reasons, such as: (1) low image contrast, (2) incomplete structures of cardiac, and (3) unclear border between the ventricle and the atrium in some echocardiographic images. In this paper, we applied contrastive learning strategy and proposed a semi-supervised method for echocardiographic images segmentation. This proposed method solved the above challenges effectively and made use of unlabeled data to achieve a great performance, which could help doctors improve the accuracy of CVD diagnosis and screening. We evaluated this method on a public dataset (CAMUS), achieving mean Dice Similarity Coefficient (DSC) of 0.898, 0.911, 0.916 with 1/4, 1/2 and full labeled data on two-chamber (2CH) echocardiography images, and of 0.903, 0.921, 0.928 with 1/4, 1/2 and full labeled data on four-chamber (4CH) echocardiography images. Compared with other existing methods, the proposed method had fewer parameters and better performance. The code and models are available at https://github.com/gpgzy/CL-Cardiac-segmentation.
Collapse
Affiliation(s)
- Ziyu Guo
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Yuting Zhang
- School of Computer Science, University of Birmingham, Birmingham, United Kingdom
| | - Zishan Qiu
- College of Art and Science, New York University Shanghai, Shanghai, China
| | - Suyu Dong
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Shan He
- School of Computer Science, University of Birmingham, Birmingham, United Kingdom
| | - Huan Gao
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Jinao Zhang
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Yingtao Chen
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Bingtao He
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Zhe Kong
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Zhaowen Qiu
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Yan Li
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Caijuan Li
- Department of Medical Ultrasonics, Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China
| |
Collapse
|
17
|
Pan S, Guo Z, Dai H, Zhang H, Zeng Z, Wang M. Assessment of the water quality and toxicity effects on zebrafish (Danio rerio) of a stream near a phosphorus chemical plant in Guizhou Province, southwestern China. Environ Sci Pollut Res Int 2023; 30:94205-94217. [PMID: 37526819 DOI: 10.1007/s11356-023-28850-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 07/14/2023] [Indexed: 08/02/2023]
Abstract
To reveal the influence of the phosphorus chemical industry (PCI) on regional water environmental quality and safety, the water quality and ecotoxicological effects of a stream near a phosphorus chemical plant (PCP) in Guizhou Province, southwestern China, were investigated based on water samples collected from the stream. The results showed that the average concentrations of NH3-N, TN, P, F-, Hg, Mn, and Ni were 3.14 mg/L, 30.09 mg/L, 3.34 mg/L, 1.18 mg/L, 1.06 μg/L, 45.82 μg/L, and 11.30 μg/L, respectively. The overall water quality of the stream was in the heavily polluted category, and NH3-N, TN, P, F-, and Hg were the main pollution factors. The degree of pollution was in the order of rainy period > transitional period > dry period, and the most polluted sample site was 1100 m from the PCP. After 28 days of exposure to stream water, there was no significant change in the growth parameters of zebrafish. The gills of zebrafish showed a small amount of epithelial cell detachment and a small amount of inflammatory cell infiltration, and the liver tissue displayed a large amount of hepatocyte degeneration with loose and lightly stained cytoplasm. Compared with the control group, the %DNA in tail, tail length, tail moment, and olive tail moment were significantly increased (p < 0.05), indicating that the water sample caused DNA damage in the peripheral blood erythrocytes of zebrafish. The stream water in the PCI area was found to be polluted and exhibited significant toxicity to zebrafish, which could pose a threat to regional ecological security.
Collapse
Affiliation(s)
- Sha Pan
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China.
| | - Ziyu Guo
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Hengmei Dai
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Hua Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Zhidong Zeng
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Min Wang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| |
Collapse
|
18
|
Guo Z, Wang A, Gao Y, Xie E, Ye Z, Li Y, Zhao X, Shen N, Zheng J. Dynamic Assessments of Coronary Flow Reserve after Myocardial Ischemia Reperfusion in Mice. J Vis Exp 2023. [PMID: 37677023 DOI: 10.3791/65391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023] Open
Abstract
After cardiac ischemia, there is often insufficient myocardial perfusion, even if flow has been successfully and completely restored in an upstream artery. This phenomenon, known as the "no-reflow phenomenon," is attributed to coronary microvascular dysfunction and has been associated with poor clinical outcomes. In clinical practice, a reduction in coronary flow reserve (CFR) is frequently used as an indicator of coronary artery disease. CFR is defined as the ratio of the peak flow velocity induced by pharmacologic or metabolic factors to the resting flow velocity. This protocol focused on assessing the dynamic changes in CFR before and after ischemia-reperfusion (IR) using pulse wave Doppler measurements. In this study, normal mice exhibited the ability to increase the peak velocity of coronary blood flow up to two times higher than the resting values under isoflurane stimulation. However, after ischemia-reperfusion, the CFR at 1 h significantly decreased compared to the pre-operation baseline. Over time, the CFR showed gradual recovery, but it remained below the normal level. Despite the preservation of systolic function, early detection of microvascular dysfunction is crucial, and establishing a practical guide could aid doctors in this task, while also facilitating the study of cardiovascular disease progression over time.
Collapse
Affiliation(s)
- Ziyu Guo
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine
| | - Ao Wang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital. No 2 Yinghua Dongjie
| | - Enmin Xie
- Graduate School of Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine
| | - Yike Li
- Graduate School of Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Xuecheng Zhao
- Department of Cardiology, China-Japan Friendship Hospital. No 2 Yinghua Dongjie
| | - Nan Shen
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine
| | - Jingang Zheng
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine;
| |
Collapse
|
19
|
Guo Z, Gao Y, Xie E, Ye Z, Li Y, Zhao X, Shen N, Zheng J. Effects of Metformin on COVID-19 Patients with Type 2 Diabetes: A Retrospective Study. Diabetes Metab Syndr Obes 2023; 16:2573-2582. [PMID: 37645237 PMCID: PMC10461736 DOI: 10.2147/dmso.s417925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/02/2023] [Indexed: 08/31/2023] Open
Abstract
Purpose The pandemic of coronavirus disease 2019 (COVID-19) has highlighted the intricate relationship between underlying conditions and death. We designed this study to determine whether metformin therapy for type 2 diabetes mellitus (T2D) is associated with low in-hospital mortality in patients hospitalized for COVID-19. Materials and Methods This was a retrospective study including patients with COVID-19 and T2D in Wuhan, from February 4th to April 11th, 2020. Patients were divided into two groups according to metformin exposure. The hazard ratio (HR) of COVID-19-related mortality and invasive mechanical ventilation was estimated using Cox regression. Results There were 571 T2D patients among the 4330 confirmed COVID-19 patients. Of those patients, 241 received metformin therapy. The in-hospital mortality and invasive mechanical ventilation of metformin group was lower than non-metformin group. In the multivariate model, metformin use was linked to a decreased in-hospital mortality and invasive mechanical ventilation when compared with that of the control group (HR: 0.376 [95% CI 0.154-0.922]; P = 0.033). Conclusion Our study indicated that metformin therapy was associated with decreased death risk in COVID-19 patients with T2D.
Collapse
Affiliation(s)
- Ziyu Guo
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Enmin Xie
- Graduate School of Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
| | - Yike Li
- Graduate School of Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Xuecheng Zhao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Nan Shen
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
| | - Jingang Zheng
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
- Graduate School of Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| |
Collapse
|
20
|
Lv C, Wang R, Li S, Yan S, Wang Y, Chen J, Wang L, Liu Y, Guo Z, Wang J, Pei Y, Yu L, Wu N, Lu F, Gao F, Chen J, Liu Y, Wang X, Li S, Han B, Zhang L, Ma Y, Ding L, Wang Y, Yuan X, Yang Y. Randomized phase II adjuvant trial to compare two treatment durations of icotinib (2 years versus 1 year) for stage II-IIIA EGFR-positive lung adenocarcinoma patients (ICOMPARE study). ESMO Open 2023; 8:101565. [PMID: 37348348 PMCID: PMC10515286 DOI: 10.1016/j.esmoop.2023.101565] [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: 02/21/2023] [Revised: 03/30/2023] [Accepted: 04/24/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Despite the prolonged median disease-free survival (DFS) by adjuvant targeted therapy in non-small-cell lung cancer patients with epidermal growth factor receptor (EGFR) mutations, the relationship between the treatment duration and the survival benefits in patients remains unknown. PATIENTS AND METHODS In this multicenter, randomized, open-label, phase II trial, eligible patients aged 18-75 years with EGFR-mutant, stage II-IIIA lung adenocarcinoma and who had not received adjuvant chemotherapy after complete tumor resection were enrolled from eight centers in China. Patients were randomly assigned (1 : 1) to receive either 1-year or 2-year icotinib (125 mg thrice daily). The primary endpoint was DFS assessed by investigator. The secondary endpoints were overall survival (OS) and safety. This study was registered at ClinicalTrials.gov (NCT01929200). RESULTS Between September 2013 and October 2018, 109 patients were enrolled (1-year group, n = 55; 2-year group, n = 54). Median DFS was 48.9 months [95% confidence interval (CI) 33.1-70.1 months] in the 2-year group and 32.9 months (95% CI 26.6-44.8 months) in the 1-year group [hazard ratio (HR) 0.51; 95% CI 0.28-0.94; P = 0.0290]. Median OS for patients was 75.8 months [95% CI 64.4 months-not evaluable (NE)] in the 2-year group and NE (95% CI 66.3 months-NE) in the 1-year group (HR 0.34; 95% CI 0.13-0.95; P = 0.0317). Treatment-related adverse events (TRAEs) were observed in 41 of 55 (75%) patients in the 1-year group and in 36 of 54 (67%) patients in the 2-year group. Grade 3-4 TRAEs occurred in 4 of 55 (7%) patients in the 1-year group and in 3 of 54 (6%) patients in the 2-year group. No treatment-related deaths or interstitial lung disease was reported. CONCLUSIONS Two-year adjuvant icotinib was shown to significantly improve DFS and provide an OS benefit in EGFR-mutant, stage II-IIIA lung adenocarcinoma patients compared with 1-year treatment in this exploratory phase II study.
Collapse
Affiliation(s)
- C Lv
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - R Wang
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Hebi
| | - S Li
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - S Yan
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - J Chen
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - L Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Liu
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Z Guo
- Department of Thoracic Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia
| | - J Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Pei
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - L Yu
- Department of Thoracic Surgery, Beijing Tongren Hospital, CMU, Beijing
| | - N Wu
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - F Lu
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - F Gao
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Hebi
| | - J Chen
- Thoracic Neoplasms Surgical Department, Tianjing Medical University General Hospital, Tianjing
| | - Y Liu
- Thoracic Neoplasms Surgical Department, Inner Mongolia People's Hospital, Inner Mongolia
| | - X Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - S Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Beijing
| | - B Han
- Department of Thoracic Surgery, PLA Pocket Force Characteristic Medical Center, Beijing
| | - L Zhang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Ma
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - L Ding
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - Y Wang
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - X Yuan
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - Y Yang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing.
| |
Collapse
|
21
|
Guo Z, Wang M, Dai H, Pan S. Contamination Status and Ecological Security Thresholds of Fluoride in Farmland around a Phosphorus Chemical Plant in a Karst Area of Southwestern China. Toxics 2023; 11:587. [PMID: 37505553 PMCID: PMC10386450 DOI: 10.3390/toxics11070587] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/02/2023] [Accepted: 07/04/2023] [Indexed: 07/29/2023]
Abstract
The phosphorus chemical plant (PCP) production process leads to the substantial discharge of fluoride into the surrounding environment. However, there is limited research data regarding the pollution levels and ecological safety thresholds of farmland fluoride around PCPs in karst areas. This study evaluates the local contamination status and health risks by determining the fluoride content in farmland and vegetables in vicinity of a PCP in a karst area of Southwestern China. Farmland ecological security threshold was derived based on the species sensitivity distribution (SSD) model. Results showed that the fluoride contents in the soil ranged from 529.36 to 1496.02 mg kg-1, with the median value of 823.93 mg kg-1, which was higher than the national background value in China (478 mg kg-1) by 172.37%. Fluoride contents in vegetables ranged from 0.01 to 25.21 mg kg-1, with the median value of 1.29 mg kg-1, which was higher than the limits of contaminants in food (1 mg kg-1) by 129.00%, and 53.85% of vegetable samples were contaminated. Leafy vegetables showed a higher tendency of fluoride enrichment compared to non-leafy vegetables. Despite there being no significant health risk to the residents via the intake of vegetables overall, there may be potential health risks from the intake of sweet potato leaves. Based on the SSD model, the ecological safety thresholds of fluoride in local farmland was classified into the suitable for planting category (≤174.13 mg kg-1), safe plant utilization category (174.13-4005.42 mg kg-1), and strict control of planting category (≥4005.42 mg kg-1). These findings will provide valuable insights to facilitate the safe cultivation of local agricultural products and optimize the utilization of soil resources.
Collapse
Affiliation(s)
- Ziyu Guo
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Min Wang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Hengmei Dai
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Sha Pan
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| |
Collapse
|
22
|
Feng Z, Guo Z, Huang C, Gu E. Comment on article by Salman et al.: open versus closed intramedullary nailing of femur shaft fractures in adults: a systematic review and meta-analysis. Int Orthop 2023; 47:1883-1884. [PMID: 37133508 DOI: 10.1007/s00264-023-05831-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 03/27/2023] [Indexed: 05/04/2023]
Affiliation(s)
- Zhixiao Feng
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (TCM), Tianjin, 300000, China
| | - Ziyu Guo
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (TCM), Tianjin, 300000, China
| | - Chenyang Huang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (TCM), Tianjin, 300000, China
| | - Enpeng Gu
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (TCM), Tianjin, 300000, China.
- Binhai New Area Hospital of TCM, Tianjin, China.
| |
Collapse
|
23
|
Lu K, Guo Z, Di S, Lu Y, Muhammad IAR, Rong C, Ding Y, Li W, Ding C. OsMFT1 Inhibits Seed Germination by Modulating Abscisic Acid Signaling and Gibberellin Biosynthesis under Salt Stress in Rice. Plant Cell Physiol 2023; 64:674-685. [PMID: 37022148 DOI: 10.1093/pcp/pcad029] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 03/20/2023] [Accepted: 04/05/2023] [Indexed: 06/16/2023]
Abstract
Seed dormancy and germination are regulated by endogenous gene expression as well as hormonal and environmental conditions, such as salinity, which greatly inhibits seed germination. MOTHER OF FT AND TFL1 (MFT), which encodes a phosphatidylethanolamine-binding protein, is a key regulator of seed germination in Arabidopsis thaliana. There are two orthologous genes of AtMFT in rice (Oryza sativa), namely, OsMFT1 and OsMFT2. However, the functions of these two genes in regulating rice seed germination under salt stress remain unknown. In this study, we found that seeds of loss-of-function osmft1 mutants germinated faster than wild-type (WT) seeds under salt stress, but this was not the case for loss-of-function osmft2 mutants. Overexpression of OsMFT1 (OsMFT1OE) or OsMFT2 increased the sensitivity to salt stress during seed germination. Transcriptome comparisons of osmft1 vs WT in the absence and presence of salt stress yielded several differentially expressed genes, which were associated with salt stress, plant hormone metabolism and signaling pathways, such as B-BOX ZINC FINGER 6, O. sativa bZIP PROTEIN 8 and GIBBERELLIN (GA) 20-oxidase 1. In addition, the sensitivity of OsMFT1OE seeds to GA and osmft1 seeds to abscisic acid (ABA) during seed germination increased under salt stress. Overall, our results indicate that ABA and GA metabolism and their signaling pathways are regulated by OsMFT1, modulating seed germination in rice under salt stress.
Collapse
Affiliation(s)
- Kunxun Lu
- College of Agriculture, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Ziyu Guo
- College of Agriculture, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Shiyu Di
- College of Agriculture, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Yuyang Lu
- College of Agriculture, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | | | - Chenyu Rong
- College of Agriculture, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Yanfeng Ding
- College of Agriculture, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
- Key Laboratory of Crop Physiology Ecology and Production Management, Ministry of Agriculture, No.1 Weigang, Nanjing 210095, China
- Collaborative Innovation Center for Modern Crop Production co-sponsored by Province and Ministry, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Weiqiang Li
- Jilin Da'an Agro-ecosystem National Observation Research Station, Changchun Jingyuetan Remote Sensing Experiment Station, Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, No.4888 Shengbei Street, Changchun 130102, China
| | - Chengqiang Ding
- College of Agriculture, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
- Key Laboratory of Crop Physiology Ecology and Production Management, Ministry of Agriculture, No.1 Weigang, Nanjing 210095, China
- Collaborative Innovation Center for Modern Crop Production co-sponsored by Province and Ministry, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| |
Collapse
|
24
|
An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng J, Cheng YC, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dugas KV, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay. Phys Rev Lett 2023; 130:211801. [PMID: 37295075 DOI: 10.1103/physrevlett.130.211801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/10/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.
Collapse
Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Y-C Cheng
- Department of Physics, National Taiwan University, Taipei
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - K V Dugas
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Brookhaven National Laboratory, Upton, New York 11973
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
| |
Collapse
|
25
|
Li Y, Ye Z, Guo Z, Xie E, Wang M, Zhao X, Liu M, Li P, Yu C, Gao Y, Zheng J. Ticagrelor vs. clopidogrel for coronary microvascular dysfunction in patients with STEMI: a meta-analysis of randomized controlled trials. Front Cardiovasc Med 2023; 10:1102717. [PMID: 37273883 PMCID: PMC10233131 DOI: 10.3389/fcvm.2023.1102717] [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: 11/19/2022] [Accepted: 04/17/2023] [Indexed: 06/06/2023] Open
Abstract
Purpose Approximately half of ST-segment elevation myocardial infarction (STEMI) patients who undergo revascularization present with coronary microvascular dysfunction. Dual antiplatelet therapy, consisting of aspirin and a P2Y12 inhibitor (e.g., clopidogrel or ticagrelor), is recommended to reduce rates of cardiovascular events after STEMI. The present study performed a pooled analysis of randomized controlled trials (RCTs) to compare effects of ticagrelor and clopidogrel on coronary microcirculation dysfunction in STEMI patients who underwent the primary percutaneous coronary intervention. Methods The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for eligible RCTs up to September 2022, with no language restriction. Coronary microcirculation indicators included the corrected thrombolysis in myocardial infarction (TIMI) frame count (cTFC), myocardial blush grade (MBG), TIMI myocardial perfusion grade (TMPG), coronary flow reserve (CFR), and index of microcirculatory resistance (IMR). Results Seven RCTs that included a total of 957 patients (476 who were treated with ticagrelor and 481 who were treated with clopidogrel) were included. Compared with clopidogrel, ticagrelor better accelerated microcirculation blood flow [cTFC = -2.40, 95% confidence interval (CI): -3.38 to -1.41, p < 0.001] and improved myocardial perfusion [MBG = 3, odds ratio (OR) = 1.99, 95% CI: 1.35 to 2.93, p < 0.001; MBG ≥ 2, OR = 2.57, 95% CI: 1.61 to 4.12, p < 0.001]. Conclusions Ticagrelor has more benefits for coronary microcirculation than clopidogrel in STEMI patients who undergo the primary percutaneous coronary intervention. However, recommendations for which P2Y12 receptor inhibitor should be used in STEMI patients should be provided according to results of studies that investigate clinical outcomes.
Collapse
Affiliation(s)
- Yike Li
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Ziyu Guo
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Enmin Xie
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Min Wang
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Xuecheng Zhao
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Mei Liu
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peizhao Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Changan Yu
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Jingang Zheng
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| |
Collapse
|
26
|
Zhu X, Guo Z, Wang N, Liu J, Zuo Y, Li K, Song C, Song Y, Gong C, Xu X, Yuan F, Zhang L. Environmental stress stimulates microbial activities as indicated by cyclopropane fatty acid enhancement. Sci Total Environ 2023; 873:162338. [PMID: 36813189 DOI: 10.1016/j.scitotenv.2023.162338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/24/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
Soil microbial responses to environmental stress remain a critical question in microbial ecology. The content of cyclopropane fatty acid (CFA) in cytomembrane has been widely used to evaluate environmental stress on microorganisms. Here, we used CFA to investigate the ecological suitability of microbial communities and found a stimulating impact of CFA on microbial activities during wetland reclamation in Sanjiang Plain, Northeastern China. The seasonality of environmental stress resulted in the fluctuation of CFA content in the soil, which suppressed microbial activities due to nutrient loss upon wetland reclamation. After land conversion, the aggravation of temperature stress to microbes increased the CFA content by 5 % (autumn) to 163 % (winter), which led to the suppression of microbial activities by 7 %-47 %. By contrast, the warmer soil temperature and permeability decreased the CFA content by 3 % to 41 % and consequently aggravated the microbial reduction by 15 %-72 % in spring and summer. Complex microbial communities of 1300 CFA-produced species were identified using a sequencing approach, suggesting that soil nutrients dominated the differentiation in these microbial community structures. Further analysis with structural equation modeling highlighted the important function of CFA content to environmental stress and the stimulating influence of CFA induced by environmental stress on microbial activities. Our study shows the biological mechanisms of seasonal CFA content for microbial adaption to environmental stress under wetland reclamation. It advances our knowledge of microbial physiology affecting soil element cycling caused by anthropogenic activities.
Collapse
Affiliation(s)
- Xinhao Zhu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China; Biology Department, San Diego State University, San Diego, CA 92182, USA
| | - Ziyu Guo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Nannan Wang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China
| | - Jianzhao Liu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yunjiang Zuo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kexin Li
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Changchun Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China
| | - Yanyu Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China
| | - Chao Gong
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China
| | - Xiaofeng Xu
- Biology Department, San Diego State University, San Diego, CA 92182, USA
| | - Fenghui Yuan
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China; Department of Soil, Water, and Climate, University of Minnesota, Saint Paul, MN 55108, USA.
| | - Lihua Zhang
- Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, Beijing 100081, China.
| |
Collapse
|
27
|
Ye Z, An S, Gao Y, Xie E, Zhao X, Guo Z, Li Y, Shen N, Zheng J. Association between the triglyceride glucose index and in-hospital and 1-year mortality in patients with chronic kidney disease and coronary artery disease in the intensive care unit. Cardiovasc Diabetol 2023; 22:110. [PMID: 37179310 PMCID: PMC10183125 DOI: 10.1186/s12933-023-01843-2] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
OBJECTIVE This study aimed to explore the association between the triglyceride glucose index (TyG) and the risk of in-hospital and one-year mortality in patients with chronic kidney disease (CKD) and cardiovascular disease (CAD) admitted to the intensive care unit (ICU). METHODS The data for the study were taken from the Medical Information Mart for Intensive Care-IV database which contained over 50,000 ICU admissions from 2008 to 2019. The Boruta algorithm was used for feature selection. The study used univariable and multivariable logistic regression analysis, Cox regression analysis, and 3-knotted multivariate restricted cubic spline regression to evaluate the association between the TyG index and mortality risk. RESULTS After applying inclusion and exclusion criteria, 639 CKD patients with CAD were included in the study with a median TyG index of 9.1 [8.6,9.5]. The TyG index was nonlinearly associated with in-hospital and one-year mortality risk in populations within the specified range. CONCLUSION This study shows that TyG is a predictor of one-year mortality and in-hospital mortality in ICU patients with CAD and CKD and inform the development of new interventions to improve outcomes. In the high-risk group, TyG might be a valuable tool for risk categorization and management. Further research is required to confirm these results and identify the mechanisms behind the link between TyG and mortality in CAD and CKD patients.
Collapse
Affiliation(s)
- Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Shuoyan An
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, , Beijing, 100029, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, , Beijing, 100029, China
| | - Enmin Xie
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Xuecheng Zhao
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, , Beijing, 100029, China
| | - Ziyu Guo
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Yike Li
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Nan Shen
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Jingang Zheng
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China.
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, , Beijing, 100029, China.
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China.
| |
Collapse
|
28
|
Guo Z, Liu W, Dong Z, Yang L, Xie P. Solitary Malignant Peripheral Nerve Sheath Tumor of Lumbar Vertebra Mimicking Metastatic Malignancy. Clin Nucl Med 2023; 48:435-436. [PMID: 36800240 DOI: 10.1097/rlu.0000000000004606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
ABSTRACT Malignant peripheral nerve sheath tumor involving solitary lumbar vertebra is extremely rare. A 72-year-old man had a chief complaint of growing lumbocrural pain for 2 months. The CT scan detected a solitary vertebral lesion, which highly supported the diagnosis of metastatic malignancy. 18 F-FDG PET/CT demonstrated that the vertebral lesion had heterogeneous intense FDG accumulation with an SUV max of 16.4. The pathological examination confirmed the diagnosis of malignant peripheral nerve sheath tumor. This case highlights that MPNST should be considered when there is solitary vertebra invasion with increased FDG uptake.
Collapse
Affiliation(s)
- Ziyu Guo
- From the Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China
| | | | | | | | | |
Collapse
|
29
|
An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Chen ZY, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Ding XY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wei W, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay. Phys Rev Lett 2023; 130:161802. [PMID: 37154643 DOI: 10.1103/physrevlett.130.161802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/24/2023] [Indexed: 05/10/2023]
Abstract
We present a new determination of the smallest neutrino mixing angle θ_{13} and the mass-squared difference Δm_{32}^{2} using a final sample of 5.55×10^{6} inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample is selected from the complete dataset obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are sin^{2}2θ_{13}=0.0851±0.0024, Δm_{32}^{2}=(2.466±0.060)×10^{-3} eV^{2} for the normal mass ordering or Δm_{32}^{2}=-(2.571±0.060)×10^{-3} eV^{2} for the inverted mass ordering.
Collapse
Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Z Y Chen
- Institute of High Energy Physics, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | | | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - W Wei
- Shandong University, Jinan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
| |
Collapse
|
30
|
Si TG, Li L, Guo Z, Xu B. [Chinese expert consensus on perioperative management of renal tumor cryoablation (2022 edition)]. Zhonghua Nei Ke Za Zhi 2023; 62:363-368. [PMID: 37032130 DOI: 10.3760/cma.j.cn112138-20221024-00780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
In recent years, the incidence of renal cancer has been increasing continuously. Surgical resection is the "gold standard" for the treatment of small renal cancer. However, local ablation therapy of renal cancer is undoubtedly the best choice for patients with short life expectancy, other complications, and impaired renal function who are not suitable for surgery. In recent years, with the development of ablation techniques and long-term follow-up, local ablation has shown good therapeutic effects. As many domestic hospitals are performing or planning to perform renal tumor cryoablation to improve the clinical cure rate and surgical safety of renal tumor cryoablation, it is necessary to standardize the surgical indications, contraindications, perioperative management, efficacy evaluation, and other common problems. Currently, there is no expert consensus regarding perioperative renal tumor cryoablation in China. To standardize the perioperative management of renal tumor cryoablation and related technical operations in clinical practice, and improve the effectiveness and safety of cryoablation, the expert committee of Tumor Interventional and Minimally Invasive Diagnosis and Treatment Continuing Education Base of the Chinese Anti-Cancer Association convened experts in related fields to discuss and formulate this consensus, which is hereby published, for clinical reference and application.
Collapse
Affiliation(s)
- T G Si
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - L Li
- Department of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
| | - Z Guo
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - B Xu
- Department of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
| |
Collapse
|
31
|
Ju Y, Liu K, Ma G, Zhu B, Wang H, Hu Z, Zhao J, Zhang L, Cui K, He XR, Huang M, Li Y, Xu S, Gao Y, Liu K, Liu H, Zhuo Z, Zhang G, Guo Z, Ye Y, Zhang L, Zhou X, Ma S, Qiu Y, Zhang M, Tao Y, Zhang M, Xian L, Xie W, Wang G, Wang Y, Wang C, Wang DH, Yu K. Bacterial antibiotic resistance among cancer inpatients in China: 2016-20. QJM 2023; 116:213-220. [PMID: 36269193 DOI: 10.1093/qjmed/hcac244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/16/2022] [Accepted: 10/10/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The incidence of infections among cancer patients is as high as 23.2-33.2% in China. However, the lack of information and data on the number of antibiotics used by cancer patients is an obstacle to implementing antibiotic management plans. AIM This study aimed to investigate bacterial infections and antibiotic resistance in Chinese cancer patients to provide a reference for the rational use of antibiotics. DESIGN This was a 5-year retrospective study on the antibiotic resistance of cancer patients. METHODS In this 5-year surveillance study, we collected bacterial and antibiotic resistance data from 20 provincial cancer diagnosis and treatment centers and three specialized cancer hospitals in China. We analyzed the resistance of common bacteria to antibiotics, compared to common clinical drug-resistant bacteria, evaluated the evolution of critical drug-resistant bacteria and conducted data analysis. FINDINGS Between 2016 and 2020, 216 219 bacterial strains were clinically isolated. The resistance trend of Escherichia coli and Klebsiella pneumoniae to amikacin, ciprofloxacin, cefotaxime, piperacillin/tazobactam and imipenem was relatively stable and did not significantly increase over time. The resistance of Pseudomonas aeruginosa strains to all antibiotics tested, including imipenem and meropenem, decreased over time. In contrast, the resistance of Acinetobacter baumannii strains to carbapenems increased from 4.7% to 14.7%. Methicillin-resistant Staphylococcus aureus (MRSA) significantly decreased from 65.2% in 2016 to 48.9% in 2020. CONCLUSIONS The bacterial prevalence and antibiotic resistance rates of E. coli, K. pneumoniae, P. aeruginosa, A. baumannii, S. aureus and MRSA were significantly lower than the national average.
Collapse
Affiliation(s)
- Y Ju
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - K Liu
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - G Ma
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - B Zhu
- Department of Critical Care Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
| | - H Wang
- Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Z Hu
- Department of Critical Care Medicine, Hebei Tumor Hospital, Shijiazhuang, China
| | - J Zhao
- Department of Critical Care Medicine, Hunan Cancer Hospital, Changsha, China
| | - L Zhang
- Department of Critical Care Medicine, Hubei Cancer Hospital, Wuhan, China
| | - K Cui
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - X-R He
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - M Huang
- Department of Critical Care Medicine, Shanxi Tumor Hospital, Taiyuan, China
| | - Y Li
- Department of Critical Care Medicine, Guangxi Medical University Cancer Hospital, Nanning, China
| | - S Xu
- Department of Critical Care Medicine, Sichuan Cancer Hospital, Chengdu, China
| | - Y Gao
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - K Liu
- Department of Critical Care Medicine, Zhejiang Cancer Hospital, Hangzhou, China
| | - H Liu
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Z Zhuo
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - G Zhang
- Department of Critical Care Medicine, Jilin Tumor Hospital, Changchun, China
| | - Z Guo
- Department of Critical Care Medicine, Shandong Cancer Hospital and Institute, Shandong, China
| | - Y Ye
- Department of Critical Care Medicine, Fujian Cancer Hospital, Fuzhou, China
| | - L Zhang
- Department of Critical Care Medicine, Anhui Provincial Cancer Hospital, Hefei, China
| | - X Zhou
- Department of Critical Care Medicine, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - S Ma
- Department of Critical Care Medicine, Jiangsu Cancer Hospital, Nanjing, China
| | - Y Qiu
- Department of Critical Care Medicine, Jiangxi Cancer Hospital, Nanchang, China
| | - M Zhang
- Department of Critical Care Medicine, Hangzhou Cancer Hospital, Hangzhou, China
| | - Y Tao
- Department of Critical Care Medicine, Nantong Tumor Hospital, Nantong, China
| | - M Zhang
- Department of Critical Care Medicine, Baotou Cancer Hospital, Baotou, China
| | - L Xian
- Department of Critical Care Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - W Xie
- Department of Critical Care Medicine, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China
| | - G Wang
- Department of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China
| | - Y Wang
- Department of Critical Care Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - C Wang
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - D-H Wang
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - K Yu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| |
Collapse
|
32
|
Guo Z, Lin T, Jing D, Wang W, Sui Y. A method for real-time mechanical characterisation of microcapsules. Biomech Model Mechanobiol 2023:10.1007/s10237-023-01712-7. [PMID: 36964429 PMCID: PMC10366294 DOI: 10.1007/s10237-023-01712-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 03/09/2023] [Indexed: 03/26/2023]
Abstract
Characterising the mechanical properties of flowing microcapsules is important from both fundamental and applied points of view. In the present study, we develop a novel multilayer perceptron (MLP)-based machine learning (ML) approach, for real-time simultaneous predictions of the membrane mechanical law type, shear and area-dilatation moduli of microcapsules, from their camera-recorded steady profiles in tube flow. By MLP, we mean a neural network where many perceptrons are organised into layers. A perceptron is a basic element that conducts input-output mapping operation. We test the performance of the present approach using both simulation and experimental data. We find that with a reasonably high prediction accuracy, our method can reach an unprecedented low prediction latency of less than 1 millisecond on a personal computer. That is the overall computational time, without using parallel computing, from a single experimental image to multiple capsule mechanical parameters. It is faster than a recently proposed convolutional neural network-based approach by two orders of magnitude, for it only deals with the one-dimensional capsule boundary instead of the entire two-dimensional capsule image. Our new approach may serve as the foundation of a promising tool for real-time mechanical characterisation and online active sorting of deformable microcapsules and biological cells in microfluidic devices.
Collapse
Affiliation(s)
- Ziyu Guo
- School of Engineering and Material Science, Queen Mary University of London, London, E1 4NS, United Kingdom
| | - Tao Lin
- School of Engineering and Material Science, Queen Mary University of London, London, E1 4NS, United Kingdom
| | - Dalei Jing
- School of Engineering and Material Science, Queen Mary University of London, London, E1 4NS, United Kingdom
| | - Wen Wang
- School of Engineering and Material Science, Queen Mary University of London, London, E1 4NS, United Kingdom
| | - Yi Sui
- School of Engineering and Material Science, Queen Mary University of London, London, E1 4NS, United Kingdom.
| |
Collapse
|
33
|
Guo Z, Wang Z, Ji W. [Selection of classic laryngeal mask airway size based on ideal body mass in patients with low body mass index: a randomized trial]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:460-465. [PMID: 37087592 PMCID: PMC10122727 DOI: 10.12122/j.issn.1673-4254.2023.03.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
OBJECTIVE To compare the effect of laryngeal mask airway (LMA) size selection based on ideal and actual body mass on the success rate of first insertion in patients with low body mass index (BMI). METHODS This study was performed in 137 patients aged 18-60 years with BMI below 18.5 kg/m2, in whom discrepancies occurred in the selection of LMA size based on their actual body mass and the ideal body mass. The patients were randomized divided into ideal body mass group and actual body mass group, in which the size of LMA was selected based on the ideal body mass and their actual body mass, respectively. The success rate of first LMA insertion, overall success rate, fiberoptic visual field grade, leakage pressure, and LMA-related complications of the patients were recorded during the maintenance and recovery of anesthesia. RESULTS The success rate of first LMA insertion was significantly higher in ideal body mass group than in the actual body mass group (86.8% vs 68.1%, P=0.016). Compared with those in the actual body mass group, the patients in the ideal body mass group used larger LMA (P < 0.005) and had better fiberoptic field scores (P=0.001) and higher airway seal pressure (P < 0.005). The peak inspiratory pressure (P=0.154) or the incidence of LMA-related complications during anesthesia maintenance and recovery did not differ significantly between the two groups (P>0.05). CONCLUSION The size selection of LMA based on the ideal body mass of the patients, determined according to their height and sex, can significantly improve the success rate of first LMA insertion in patients with low BMI.
Collapse
Affiliation(s)
- Z Guo
- Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Z Wang
- Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - W Ji
- Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| |
Collapse
|
34
|
Xu J, Zhang H, Guo Z, Zhang C, Tan H, Gong G, Yu M, Xu L. Fully physical crosslinked BSA-based conductive hydrogels with high strength and fast self-recovery for human motion and wireless electrocardiogram sensing. Int J Biol Macromol 2023; 230:123195. [PMID: 36634804 DOI: 10.1016/j.ijbiomac.2023.123195] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/18/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023]
Abstract
The emergence of protein hydrogel sensors has attracted intensive attention because of their biocompatibility and biodegradability, and potential application in wearable electronics. However, natural protein hydrogel sensors commonly exhibited low conductivity, weak mechanical strength, and unsatisfactory self-recovery performance. Herein, a fully physical crosslinked conductive BSA-MA-PPy/P(AM-co-AA)/Fe3+ hydrogel based on methacrylic anhydride (MA)-modified and polypyrrole (PPy)-functionalized bovine serum albumin (BSA) introduced into poly(acrylamide-co-acrylic acid) (P(AM-co-AA)) matrix was constructed. Due to the presence of the hydrogen bond complexation and the metal-ligand coordination between ferric ion (Fe3+) and the polymer chain, the as-prepared hydrogel showed outstanding mechanical strength (5.36 MPa tensile stress, 17.66 MJ/m3 toughness, and 1.61 MPa elastic modulus) and fast self-recovery performance (99.89 %/96.18 %/93.57 % stress/elastic modulus/dissipated energy within 10 min at room temperature). Meanwhile, the hydrogel exhibited outstanding conductivity (1.13 S/m) due to the presence of PPy and Fe3+ moieties, high strain sensitivity (GF = 4.98) and good biocompatibility without causing skin allergic reactions. Thus, the hydrogel can be fabricated into strain sensor to monitor the joint motion of the human body. Moreover, it can be used as soft electrode in electrocardiogram device to realize wireless heart-rate monitoring in the real-time conditions (relaxation and post-exercising), which exhibited excellent reusability, stability, and reliability simultaneously.
Collapse
Affiliation(s)
- Jianxiong Xu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Hongyi Zhang
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Ziyu Guo
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Chaoyang Zhang
- School of Metallurgy and Environment, Central South University, Changsha 410083, PR China
| | - Haihu Tan
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Guo Gong
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Maolin Yu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, PR China.
| | - Lijian Xu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, PR China.
| |
Collapse
|
35
|
Guo Z, Dai H, Wang M, Pan S. Health risk assessment of heavy metal exposure through vegetable consumption around a phosphorus chemical plant in the Kaiyang karst area, southwestern China. Environ Sci Pollut Res Int 2023; 30:35617-35634. [PMID: 36534253 DOI: 10.1007/s11356-022-24662-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
The phosphorus chemical industry is an important source of heavy metals in farmland. Vegetables grown on contaminated soil potentially impose adverse effects on human health. In this study, the pollution status and health risks of heavy metals in vegetables around a phosphorus chemical plant in Kaiyang County, Guizhou Province, southwestern China, were assessed, and the low-accumulation vegetables were screened by bioaccumulation factor (BAF) and cluster analysis. Results showed the average concentrations of Hg, As, Cd, Pb, Cr, Mn, Co, and Zn in vegetables were 0.015, 0.728 0.382, 0.227, 0.850, 27.227, 0.525, and 6.438 mg/kg, respectively. The single-factor pollution index showed that Cd was moderately polluted, and Cr, Hg, As, and Pb were slightly polluted. The Nemerow pollution index showed that the overall heavy metal pollution was classified as moderately polluted. The accumulation of heavy metals in different vegetables varied greatly, and chard, crown daisy, chayote, pumpkin, eggplant, white radish, sweet potato, carrot, and potato were selected as the low-accumulator vegetables. The consumption of all vegetables except chayote poses both carcinogenic and noncarcinogenic risks; among them, the consumption of sweet potato leaves has the highest health risks. The local population needs to adjust plantation structure and change dietary habits, and government should strengthen the management of phosphorus chemical plant pollution.
Collapse
Affiliation(s)
- Ziyu Guo
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Hengmei Dai
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Min Wang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Sha Pan
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China.
| |
Collapse
|
36
|
Ying Z, Xie Y, Zheng W, Liu W, Lin N, Tu M, Wang X, Ping L, Deng L, Zhang C, Wu M, Feng F, Du T, Tang Y, Su F, Guo Z, Li J, Song Y, Zhu J. Efficacy and safety of relmacabtagene autoleucel, an anti-CD19 chimeric antigen receptor T cell, in relapsed/refractory B-cell non-Hodgkin's lymphoma: 2-year results of a phase 1 trial. Bone Marrow Transplant 2023; 58:288-294. [PMID: 36477110 DOI: 10.1038/s41409-022-01888-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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/11/2022] [Accepted: 11/24/2022] [Indexed: 12/12/2022]
Abstract
This study reported 2-year efficacy and safety of relma-cel in Chinese patients with relapsed/refractory (R/R) B-cell non-Hodgkin's lymphoma (B-NHL). In this phase 1 dose-escalating trial, patients received lymphodepleting chemotherapy for 3 days, followed by relma-cel as a single infusion in escalating dose levels (25 × 106, 50 × 106, 100 × 106, and 150 × 106 CAR-T cells). The endpoints included best objective response rate (ORR), best complete response rate (CRR), duration of response (DOR), progression-free survival (PFS), overall survival (OS), and safety. A total of 23 patients were enrolled, including 60.9% with diffuse large B-cell lymphoma and 26.1% with follicular lymphoma. Twenty patients were evaluable for efficacy, and the best ORR was 85.0% and the best CRR was 75.0%. With a median follow-up of 24.2 months, 6 patients died and 2 had progressive disease, the median DOR, PFS, and OS were all not reached. The 2-year PFS and OS rates were 60.0% and 70.0%, respectively. Any grade and grade ≥ 2 cytokine release syndrome occurred in 18.2% and 13.6% of patients, respectively. Only 1(4.5%) patient had grade 3 CRS lasting 13 days, which was resolved by tocilizumab. No grade ≥ 2 neurotoxicity events or treatment-related deaths occurred. Patients with R/R B-NHL treated with relma-cel achieved durable response with favorable safety profile.
Collapse
Affiliation(s)
- Zhitao Ying
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Yan Xie
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Wen Zheng
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Weiping Liu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Ningjing Lin
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Meifeng Tu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Xiaopei Wang
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Lingyan Ping
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Lijuan Deng
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Chen Zhang
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Meng Wu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Feier Feng
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Tingting Du
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Yongjing Tang
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Fang Su
- JW Therapeutics (Shanghai) Co., Ltd, Shanghai, 201210, China
| | - Ziyu Guo
- JW Therapeutics (Shanghai) Co., Ltd, Shanghai, 201210, China
| | - James Li
- JW Therapeutics (Shanghai) Co., Ltd, Shanghai, 201210, China
| | - Yuqin Song
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Jun Zhu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| |
Collapse
|
37
|
Liu M, Wei L, Liu W, Chen S, Guan M, Zhang Y, Guo Z, Liu R, Xie P. Trends in incidence and survival in patients with gastrointestinal neuroendocrine tumors: A SEER database analysis, 1977-2016. Front Oncol 2023; 13:1079575. [PMID: 36776304 PMCID: PMC9909535 DOI: 10.3389/fonc.2023.1079575] [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: 10/25/2022] [Accepted: 01/04/2023] [Indexed: 01/27/2023] Open
Abstract
Objectives We aimed to determine trends in incidence and survival in patients with gastrointestinal neuroendocrine tumors (GI-NETs) from 1977 to 2016, and then analyze the potential risk factors including sex, age, race, grade, Socioeconomic status (SES), site, and stage. Methods Data were obtained from Surveillance, Epidemiology, and End Results Program (SEER) database. Kaplan-Meier survival analysis, relative survival rates (RSRs), and Cox proportional risk regression model were used to evaluate the relationship between these factors and prognosis. Results Compared with other sites, the small intestine and rectum have the highest incidence, and the appendix and rectum had the highest survival rate. The incidence was higher in males than in females, and the survival rate in males was close to females. Blacks had a higher incidence rate than whites, but similar survival rates. Incidence and survival rates were lower for G3&4 than for G1 and G2. Age, stage, and grade are risk factors. Conclusions This study described changes in the incidence and survival rates of GI-NETs from 1977 to 2016 and performed risk factor analyses related to GI-NETs.
Collapse
Affiliation(s)
- Miao Liu
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Lingge Wei
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Wei Liu
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Shupeng Chen
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Meichao Guan
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yingjie Zhang
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ziyu Guo
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ruiqi Liu
- Department of Nuclear Medicine, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Peng Xie
- Department of Nuclear Medicine, The Third Hospital, Hebei Medical University, Shijiazhuang, Hebei, China,*Correspondence: Peng Xie,
| |
Collapse
|
38
|
Ye Z, An S, Gao Y, Xie E, Zhao X, Guo Z, Li Y, Shen N, Ren J, Zheng J. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models. Eur J Med Res 2023; 28:33. [PMID: 36653875 PMCID: PMC9847092 DOI: 10.1186/s40001-023-00995-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 01/04/2023] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE Chronic kidney disease (CKD) patients with coronary artery disease (CAD) in the intensive care unit (ICU) have higher in-hospital mortality and poorer prognosis than patients with either single condition. The objective of this study is to develop a novel model that can predict the in-hospital mortality of that kind of patient in the ICU using machine learning methods. METHODS Data of CKD patients with CAD were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Boruta algorithm was conducted for the feature selection process. Eight machine learning algorithms, such as logistic regression (LR), random forest (RF), Decision Tree, K-nearest neighbors (KNN), Gradient Boosting Decision Tree Machine (GBDT), Support Vector Machine (SVM), Neural Network (NN), and Extreme Gradient Boosting (XGBoost), were conducted to construct the predictive model for in-hospital mortality and performance was evaluated by average precision (AP) and area under the receiver operating characteristic curve (AUC). Shapley Additive Explanations (SHAP) algorithm was applied to explain the model visually. Moreover, data from the Telehealth Intensive Care Unit Collaborative Research Database (eICU-CRD) were acquired as an external validation set. RESULTS 3590 and 1657 CKD patients with CAD were acquired from MIMIC-IV and eICU-CRD databases, respectively. A total of 78 variables were selected for the machine learning model development process. Comparatively, GBDT had the highest predictive performance according to the results of AUC (0.946) and AP (0.778). The SHAP method reveals the top 20 factors based on the importance ranking. In addition, GBDT had good predictive value and a certain degree of clinical value in the external validation according to the AUC (0.865), AP (0.672), decision curve analysis, and calibration curve. CONCLUSION Machine learning algorithms, especially GBDT, can be reliable tools for accurately predicting the in-hospital mortality risk for CKD patients with CAD in the ICU. This contributed to providing optimal resource allocation and reducing in-hospital mortality by tailoring precise management and implementation of early interventions.
Collapse
Affiliation(s)
- Zixiang Ye
- grid.11135.370000 0001 2256 9319Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029 China
| | - Shuoyan An
- grid.415954.80000 0004 1771 3349Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029 China
| | - Yanxiang Gao
- grid.415954.80000 0004 1771 3349Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029 China
| | - Enmin Xie
- grid.506261.60000 0001 0706 7839Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029 China
| | - Xuecheng Zhao
- grid.415954.80000 0004 1771 3349Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029 China
| | - Ziyu Guo
- grid.11135.370000 0001 2256 9319Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029 China
| | - Yike Li
- grid.506261.60000 0001 0706 7839Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029 China
| | - Nan Shen
- grid.11135.370000 0001 2256 9319Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029 China
| | - Jingyi Ren
- grid.415954.80000 0004 1771 3349Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029 China
| | - Jingang Zheng
- grid.11135.370000 0001 2256 9319Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029 China ,grid.415954.80000 0004 1771 3349Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029 China
| |
Collapse
|
39
|
Wang W, Hafeez M, Guo Z, Zia MY, Salahodjaev R, Ali I. Effect of environmental NGOs on human health in China: An empirical analysis. PLoS One 2023; 18:e0284468. [PMID: 37196025 DOI: 10.1371/journal.pone.0284468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/02/2023] [Indexed: 05/19/2023] Open
Abstract
The emergence of environmental nongovernmental organizations (ENGOs) has proved beneficial in improving environmental quality and related health issues. Therefore, this study attempts to investigate the impact of ENGO on human health in China from 1995 to 2020. To investigate the relationship between the variables, we have employed the ARDL model. The ARDL model results demonstrate that the long-run impact of ENGO is negative on infant mortality and death rate, meaning that an increase in the proportion of ENGOs in China considerably decreases infant mortality and death rate. On the other hand, ENGOs have a favorable influence on life expectancy in China, demonstrating ENGOs' supporting role in raising birth life expectancy. In the short run, estimates of ENGOs have no substantial influence on newborn mortality and death rates in China, whereas ENGOs have a positive and significant impact on life expectancy. These results imply that ENGOs help improves people's health status in China, which is also supported by the rise in GDP, technology, and health expenditures. The causal analysis confirms the bi-directional causal link between ENGO and IMR and ENGO and LE, while the unidirectional causal link runs from ENGO to DR. The results of the study provide insights into the impact of environmental NGOs on human health in China and may help guide policies aimed at improving public health outcomes through environmental protection efforts.
Collapse
Affiliation(s)
- Wenxin Wang
- School of Public Health, Shantou University/Institute of Local Government Development, Shantou University, Shan-Tou, 515063, P.R. China
- Institute of Local Government Development, Shan-Tou, 515063, People's Republic of China
| | - Muhammad Hafeez
- Institute of Business Management Sciences, University of Agriculture, Faisalabad, Pakistan
| | - Ziyu Guo
- Center for Disease Control and prevention, Bao'an District, Shenzhen City, Guangdong Province, China
| | - Muhammad Yasin Zia
- Institute of Business Management Sciences, University of Agriculture, Faisalabad, Pakistan
| | - Raufhon Salahodjaev
- Department of Mathematical Methods in Economics, Tashkent State University of Economics, Tashkent, Uzbekistan
| | - Iftikhar Ali
- Department of Agronomy, University of Agriculture, Faisalabad, Pakistan
| |
Collapse
|
40
|
Ren H, Ren C, Guo Z, Zhang G, Luo X, Ren Z, Tian H, Li W, Yuan H, Hao L, Wang J, Zhang M. A novel approach for automatic segmentation of prostate and its lesion regions on magnetic resonance imaging. Front Oncol 2023; 13:1095353. [PMID: 37152013 PMCID: PMC10154598 DOI: 10.3389/fonc.2023.1095353] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 03/30/2023] [Indexed: 05/09/2023] Open
Abstract
Objective To develop an accurate and automatic segmentation model based on convolution neural network to segment the prostate and its lesion regions. Methods Of all 180 subjects, 122 healthy individuals and 58 patients with prostate cancer were included. For each subject, all slices of the prostate were comprised in the DWIs. A novel DCNN is proposed to automatically segment the prostate and its lesion regions. This model is inspired by the U-Net model with the encoding-decoding path as the backbone, importing dense block, attention mechanism techniques, and group norm-Atrous Spatial Pyramidal Pooling. Data augmentation was used to avoid overfitting in training. In the experimental phase, the data set was randomly divided into a training (70%), testing set (30%). four-fold cross-validation methods were used to obtain results for each metric. Results The proposed model achieved in terms of Iou, Dice score, accuracy, sensitivity, 95% Hausdorff Distance, 86.82%,93.90%, 94.11%, 93.8%,7.84 for the prostate, 79.2%, 89.51%, 88.43%,89.31%,8.39 for lesion region in segmentation. Compared to the state-of-the-art models, FCN, U-Net, U-Net++, and ResU-Net, the segmentation model achieved more promising results. Conclusion The proposed model yielded excellent performance in accurate and automatic segmentation of the prostate and lesion regions, revealing that the novel deep convolutional neural network could be used in clinical disease treatment and diagnosis.
Collapse
Affiliation(s)
- Huipeng Ren
- Department of Medical Imaging, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Medical Imaging, Baoji Central Hospital, Baoji, China
| | - Chengjuan Ren
- Department of Language Intelligence, Sichuan International Studies University, Chongqing, China
| | - Ziyu Guo
- Department of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Guangnan Zhang
- Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China
| | - Xiaohui Luo
- Department of Urology, Baoji Central Hospital, Baoji, China
| | - Zhuanqin Ren
- Department of Medical Imaging, Baoji Central Hospital, Baoji, China
| | - Hongzhe Tian
- Department of Medical Imaging, Baoji Central Hospital, Baoji, China
| | - Wei Li
- Department of Medical Imaging, Baoji Central Hospital, Baoji, China
| | - Hao Yuan
- Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China
| | - Lele Hao
- Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China
| | - Jiacheng Wang
- Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China
| | - Ming Zhang
- Department of Medical Imaging, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Ming Zhang,
| |
Collapse
|
41
|
Tu Y, Li Q, Zhou Y, Ye Z, Wu C, Xie E, Li Y, Li P, Wu Y, Guo Z, Yu C, Zheng J, Gao Y. Empagliflozin inhibits coronary microvascular dysfunction and reduces cardiac pericyte loss in db/db mice. Front Cardiovasc Med 2022; 9:995216. [PMID: 36588571 PMCID: PMC9800791 DOI: 10.3389/fcvm.2022.995216] [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: 07/15/2022] [Accepted: 12/02/2022] [Indexed: 12/23/2022] Open
Abstract
Background Coronary microvascular dysfunction (CMD) is a pathophysiological feature of diabetic heart disease. However, whether sodium-glucose cotransporter 2 (SGLT2) inhibitors protect the cardiovascular system by alleviating CMD is not known. Objective We observed the protective effects of empagliflozin (EMPA) on diabetic CMD. Materials and methods The mice were randomly divided into a db/db group and a db/db + EMPA group, and db/m mice served as controls. At 8 weeks of age, the db/db + EMPA group was given empagliflozin 10 mg/(kg⋅d) by gavage for 8 weeks. Body weight, fasting blood glucose and blood pressure were dynamically observed. Cardiac systolic and diastolic function and coronary flow reserve (CFR) were detected using echocardiography. The coronary microvascular structure and distribution of cardiac pericytes were observed using immunofluorescence staining. Picrosirius red staining was performed to evaluate cardiac fibrosis. Results Empagliflozin lowered the increased fasting blood glucose levels of the db/db group. The left ventricular ejection fraction, left ventricular fractional shortening, E/A ratio and E/e' ratio were not significantly different between the three groups. CFR was decreased in the db/db group, but EMPA significantly improved CFR. In contrast to the sparse and abnormal expansion of coronary microvessels observed in the db/db group, the number of coronary microvessels was increased, and the capillary diameter was decreased in the db/db + EMPA group. The number and microvascular coverage of cardiac pericytes were reduced in the db/db mice but were improved by EMPA. The cardiac fibrosis was increased in db/db group and may alleviate by EMPA. Conclusion Empagliflozin inhibited CMD and reduced cardiac pericyte loss in diabetic mice.
Collapse
Affiliation(s)
- Yimin Tu
- Department of Cardiology, China-Japan Friendship School of Clinical Medicine, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qing Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yuanchen Zhou
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Chao Wu
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Enmin Xie
- Department of Cardiology, China-Japan Friendship School of Clinical Medicine, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yike Li
- Department of Cardiology, China-Japan Friendship School of Clinical Medicine, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Peizhao Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yaxin Wu
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Ziyu Guo
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Changan Yu
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Jingang Zheng
- Department of Cardiology, China-Japan Friendship School of Clinical Medicine, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship School of Clinical Medicine, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| |
Collapse
|
42
|
Manickam A, Peterson J, Mei W, Murdoch D, Margolis D, Oesterling A, Guo Z, Rudin C, Jiang Y, Browne E. PP 1.33 – 00167 Integrated single-cell multi-omic profiling of HIV latency reversal. J Virus Erad 2022. [DOI: 10.1016/j.jve.2022.100137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
|
43
|
Sun J, Li Y, Zhao Q, Guo Z, Li N, Hai T, Zhang W, Chen D. Cascade wavelet transform based convolutional neural networks with application to image classification. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.09.149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
|
44
|
Guo Z, Wang Z, Liu J, Sun Y, Yang L, Feng J, Hou B, Yan W. Efficient Mercury(II) Capture by Functionalized Poly(pyrrole methane)s: the Role of Chloro and Imino Groups. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2022.130694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
|
45
|
Ye Z, Xie E, Gao Y, Li P, Tu Y, Guo Z, Li Q, Wu Y, Yu X, Li Y, Yu C, Zheng J. The triglyceride glucose index is associated with future cardiovascular disease nonlinearly in middle-aged and elderly Chinese adults. BMC Endocr Disord 2022; 22:242. [PMID: 36192720 PMCID: PMC9531496 DOI: 10.1186/s12902-022-01157-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE We aimed to investigate the association between triglyceride glucose index and cardiovascular disease (CVD) development in the Chinese middle-aged and elderly population using the China Health and Retirement Longitudinal Study dataset 2011-2018. METHODS Basic characteristics of participants, including sociodemographic information, and health conditions, were acquired. Logistic regression analyses and restricted cubic spline regression analyses were conducted to investigate the association between the triglyceride glucose index and future CVD risks. Subgroup analyses were performed to evaluate potential interaction. RESULTS Seven hundred fifty-three of 6114 (12.3%) participants have developed CVD in 2018 over an approximately 7-year follow-up. The logistic regression analysis exhibited that compared to the lowest triglyceride glucose index group, the multivariable OR for future CVD was 0.985 (95%CI 0.811-1.198) in the T2 triglyceride glucose index group and 1.288 (95%CI 1.068-1.555) in the T3 TyG index (P for trend 0.006). The restricted cubic spline regression analysis showed the nonlinear association between triglyceride glucose index and CVD incidence; the cut-off values were 8.07 and 8.57, respectively, after total adjustment. Gender, fast blood glucose, and triglycerides interacted with triglyceride glucose index and CVD except for BMI. CONCLUSION The triglyceride glucose index was nonlinearly related to the risk of future cardiovascular disease in the middle-aged and elderly Chinese population.
Collapse
Affiliation(s)
- Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Enmin Xie
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Peizhao Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Yimin Tu
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Ziyu Guo
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Qing Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Yaxin Wu
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Xiaozhai Yu
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Yike Li
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Changan Yu
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Jingang Zheng
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China.
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China.
| |
Collapse
|
46
|
Ye Z, Gao Y, Xie E, Li Y, Guo Z, Li P, Ren J, Zheng J. Evaluating the predictive value of diabetes mellitus diagnosed according to the Chinese guidelines (2020 edition) for cardiovascular events. Diabetol Metab Syndr 2022; 14:138. [PMID: 36163072 PMCID: PMC9511756 DOI: 10.1186/s13098-022-00906-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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 09/10/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE Chinese diabetes society has published the new diagnostic criteria for diabetes in China (2020 edition). We aimed to investigate the predictive value of new diabetes-diagnosed criteria for cardiovascular diseases (CVD). METHODS A total of 5884 individuals from the China Health and Retirement Longitudinal Study in 2011 and 2018 were enrolled. Baseline characteristics and outcome data were compared. The association between diabetes diagnosed by two criteria and future CVD was identified by Kaplan-Meier curves, Cox regression analyses, and receiver-operating characteristic analyses. Delong's test was conducted to compare the predictive value for future CVD between diabetes diagnosed by the 2020 edition and diabetes diagnosed by the previous version. RESULTS After multivariate adjustment, both diabetes diagnosed by the 2020 edition and diabetes diagnosed by the previous edition is associated with CVD (HR 1.607, 95% CI 1.221-2.115, P < 0.001; HR 1.244, 95% CI 1.060-1.460, P = 0.007, respectively). The Kaplan-Meier analysis indicated that diabetes patients have more cardiovascular risk (log-rank P<0.001). Moreover, diabetes diagnosed in the 2020 edition illustrated an area under the curve (AUC) of 0.673 for predicting CVD, while diabetes diagnosed in the previous edition showed an AUC of 0.638 (DeLong's test P<0.01). CONCLUSION Diabetes diagnosis criteria (2020 edition) in China had better performance in predicting cardiovascular diseases than the previous edition.
Collapse
Affiliation(s)
- Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029, China
| | - Enmin Xie
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Yike Li
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, China
| | - Ziyu Guo
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Peizhao Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Jingyi Ren
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029, China.
| | - Jingang Zheng
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China.
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029, China.
| |
Collapse
|
47
|
Wang N, Zhu X, Zuo Y, Liu J, Yuan F, Guo Z, Zhang L, Sun Y, Gong C, Song C, Xu X. Metagenomic evidence of suppressed methanogenic pathways along soil profile after wetland conversion to cropland. Front Microbiol 2022; 13:930694. [PMID: 36204618 PMCID: PMC9530824 DOI: 10.3389/fmicb.2022.930694] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/30/2022] [Indexed: 11/13/2022] Open
Abstract
Wetland conversion to cropland substantially suppresses methane (CH4) emissions due to the strong suppression of methanogenesis, which consists of various pathways. In this study, we evaluated the cultivation impacts on four predominant CH4 production pathways, including acetate, carbon dioxide (CO2), methylamines, and methanol, in a wetland and cultivated cropland in northeastern China. The results showed significant suppression of CH4 production potential and the abundance of genes for all four methanogenic pathways in cropland. The consistency between CH4 production and methanogenesis genes indicates the robustness of genomic genes in analyzing methanogenesis. The suppression effects varied across seasons and along soil profiles, most evident in spring and 0 to 30 cm layers. The acetate pathway accounted for 55% in wetland vs. 70% in the cropland of all functional genes for CH4 production; while the other three pathways were stronger in response to cultivation, which presented as stronger suppressions in both abundance of functional genes (declines are 52% of CO2 pathway, 68% of methanol pathway, and 62% of methylamines pathway, vs. 19% of acetate pathway) and their percentages in four pathways (from 20 to 15% for CO2, 15 to 9% for methylamines, and 10 to 6% for methanol pathway vs. 55 to 70% for acetate pathway). The structural equation models showed that substrate availability was most correlated with CH4 production potential in the wetland, while the positive correlations of acetate, CO2, and methylamine pathways with CH4 production potential were significant in the cropland. The quantitative responses of four CH4 production pathways to land conversion reported in this study provide benchmark information for validating the CH4 model in simulating CH4 cycling under land use and land cover change.
Collapse
Affiliation(s)
- Nannan Wang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
- *Correspondence: Nannan Wang
| | - Xinhao Zhu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Yunjiang Zuo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jianzhao Liu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fenghui Yuan
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
- Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States
| | - Ziyu Guo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Lihua Zhang
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Ying Sun
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Chao Gong
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Changchun Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Xiaofeng Xu
- Biology Department, San Diego State University, San Diego, CA, United States
- Xiaofeng Xu
| |
Collapse
|
48
|
Bao J, Guo Z, He J, Leng T, Wei Z, Wang C, Chen F. Semen parameters and sex hormones as affected by SARS-CoV-2 infection: A systematic review. Prog Urol 2022; 32:1431-1439. [PMID: 36153222 PMCID: PMC9468308 DOI: 10.1016/j.purol.2022.09.004] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/31/2022] [Accepted: 09/05/2022] [Indexed: 11/23/2022]
Abstract
Background Impaired semen quality and reproductive hormone levels were observed in patients during and after recovery from coronavirus disease 2019 (COVID-19), which raised concerns about negative effects on male fertility. Therefore, this study systematically reviews available data on semen parameters and sex hormones in patients with COVID-19. Methods Systematic search was performed on PubMed and Google Scholar until July 18th, 2022. We identified relevant articles that discussed the effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on male fertility. Results A total number of 1,684 articles were identified by using a suitable keyword search strategy. After screening, 26 articles were considered eligible for inclusion in this study. These articles included a total of 1,960 controls and 2,106 patients. When all studies were considered, the results showed that the semen parameters and sex hormone levels of patients infected with SARS-CoV-2 exhibited some significant differences compared with controls. Fortunately, these differences gradually disappear as patients recover from COVID-19. Conclusion While present data show the negative effects of SARS-CoV-2 infection on male fertility, this does not appear to be long-term. Semen quality and hormone levels will gradually increase to normal as patients recover.
Collapse
Affiliation(s)
- J Bao
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - Z Guo
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - J He
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - T Leng
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - Z Wei
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - C Wang
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - F Chen
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| |
Collapse
|
49
|
Wu D, Lan S, Guo Z, Niu N, Zhang Y, Gui J. 1501P Preliminary analysis of a single-arm, multi-center study of anlotinib combined with toripalimab in first-line treatment of unresectable or metastatic undifferentiated pleomorphic sarcoma. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
|
50
|
Li Q, Xie E, Tu Y, Wu Y, Guo Z, Li P, Li Y, Yu X, Ye Z, Yu C, Gao Y, Jingang Z. Association between kaolin-induced maximum amplitude and slow-flow/no-reflow in ST elevation myocardial infarction patients treated with primary percutaneous coronary intervention. Int J Cardiol 2022; 369:13-18. [PMID: 35970443 DOI: 10.1016/j.ijcard.2022.08.025] [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: 04/12/2022] [Revised: 07/08/2022] [Accepted: 08/10/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND ST-segment elevation myocardial infarction (STEMI) patients with a high thrombus burden have a relatively high slow-flow/no-reflow risk. However, the association between kaolin-induced maximum amplitude (MAthrombin) and slow-flow/no-reflow has been scarcely explored. METHODS STEMI patients treated with primary percutaneous coronary intervention (PCI) were retrospectively enrolled from January 2015 to December 2019 at China-Japan Friendship Hospital. MAthrombin levels were measured using thromboelastography before the PCI procedure. The patients were divided into two groups according to thrombolysis in myocardial infarction (TIMI) flow grade after primary PCI: the normal flow group (TIMI flow grade = 3) and slow-flow/no-reflow (TIMI flow grade ≤ 2). The logistic regression model and restricted cubic spline regression (RCS) were used to analyze the predictive value of MAthrombin for slow-flow/no-reflow. All patients were followed up after discharge and observed the adverse cardiovascular events between the two groups. RESULTS A total of 690 patients were enrolled, with 108(15.7%) having slow-flow/no-reflow. The multivariate logistic regression model analysis showed that MAthrombin level was an independent risk factor for slow-flow/no-reflow. The RCS analysis showed a nonlinear relationship between MAthrombin levels and slow-flow/no-reflow. The cut-off value of MAthrombin levels for predicting slow-flow/no-reflow was 68 mm. During a median follow-up time of 4.4 years, slow-flow/no-reflow (hazard ratio 1.93, 95% confidence interval 1.27-2.93, P = 0.002) and MAthrombin levels (hazard ratio 1.06, 95% confidence interval 1.03-1.08, P < 0.001) were independent risk factors for predicting the long-term of adverse clinical cardiovascular events. CONCLUSION MAthrombin was an independent risk factor for predicting slow-flow/ no-reflow in STEMI patients who underwent primary PCI.
Collapse
Affiliation(s)
- Qing Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Enmin Xie
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yimin Tu
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yaxin Wu
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Ziyu Guo
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Peizhao Li
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yike Li
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Xiaozhai Yu
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Zixiang Ye
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Changan Yu
- Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yanxiang Gao
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China.
| | - Zheng Jingang
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China.
| |
Collapse
|