1
|
Feng GY, Li R, Jiang XJ, Yang G, Tian MZ, Xiang Q, Liu XJ, Ouyang Q, Long CM, Huang RL, Yin YL. Prediction of available energy and amino acid digestibility of Chinese sorghum fed to growing-finishing pigs. J Anim Sci 2023:skad262. [PMID: 37535866 DOI: 10.1093/jas/skad262] [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: 01/31/2023] [Indexed: 08/05/2023] Open
Abstract
Two experiments were conducted to determine digestible energy (DE), metabolizable energy (ME), as well as the standardized ileal digestibility (SID) of crude protein (CP) and amino acids (AA) in 10 sorghum samples fed to pigs. In Exp. 1, twenty-two crossbred barrows (Duroc × Yorkshire × Landrace, Initial BW: 70.0±1.8 kg) were selected and allotted to a replicated 11×3 incomplete Latin square design, and 3 consecutive periods. Each period had 7 d adaptation and 5 d total feces and urine collection. The DE and ME were determined by the total collection and the difference method. In Exp. 2, twenty-two crossbred barrows (Duroc × Yorkshire × Landrace, Initial BW: 41.3±1.2 kg) that had a T-cannula installed in the distal ileum were assigned to a replicated 11×3 incomplete Latin square design, including an N-free diet and 10 sorghum diets. Each period had 5 d adaptation and 2 d ileal digesta collection. The basal endogenous N losses was measured by the N-free diet method. All diets in Exp. 2 were added 0.30 % titanium dioxide as an indigestible marker for calculating the ileal CP and AA digestibility. On an as-fed basis, the DE and ME contents in sorghum were 3,410 kcal/kg (2,826~3,794 kcal/kg) and 3,379 kcal/kg (2,785~3,709 kcal/kg), respectively. The best-fit prediction equation for DE and ME were DE = 6,267.945 - (1,271.154 × % tannin) - (1,109.720 × % ash) (R 2 = 0.803) and ME = 51.263 + (0.976 × DE) (R 2 = 0.994), respectively. The SID of CP, Lys, Met, Thr, and Trp (SIDCP, SIDLys, SIDMet, SIDThr and SIDTrp) in 10 sorghum samples were 78.48% (69.56~84.23%), 74.27% (61.11~90.60%), 92.07% (85.16~95.40%), 75.46% (66.39~80.80%) and 87.99% (84.21~92.37%), respectively. The best prediction equations for SID of CP and the first four limiting AAs were as following, SIDCP = 93.404 - (21.026 × % tannin) (R 2=0.593), SIDCP = 42.922 - (4.011 × % EE) + (151.774 × % Met) (R 2 = 0.696), SIDLys = 129.947 - (670.760 × % Trp) (R 2 = 0.821), SIDMet = 111.347 - (232.298 × % Trp) (R 2 = 0.647), SIDThr = 55.187 + (3.851 × % ADF) (R 2 = 0.609) and SIDTrp = 95.676 - (10.824 × % tannin) (R 2 = 0.523), respectively. Overall, tannin and ash are the first and second predictors of DE and ME values of sorghum, respectively, and the tannin, EE, Trp, ash, CF and ADF can be used as the key predictors for SID of CP and first four limiting AAs.
Collapse
Affiliation(s)
- G Y Feng
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- University of Chinese Academy of Sciences, Beijing 100039, China
| | - R Li
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - X J Jiang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - G Yang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - M Z Tian
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Q Xiang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - X J Liu
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - Q Ouyang
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| | - C M Long
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - R L Huang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Y L Yin
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Hunan Research Center of Livestock and Poultry Sciences, South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
- College of Animal Science and Technology, Hunan Co-Innovation Center of Animal Production Safety, Hunan Agricultural University, Changsha 410128, China
| |
Collapse
|
2
|
Bonifacio CS, Li R, Nowakowski P, Ray ML, Fischione P. Artifact-Free Preparation of Plan View TEM Specimens and Its Application to MRAM Devices. Microsc Microanal 2023; 29:105-106. [PMID: 37613620 DOI: 10.1093/micmic/ozad067.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
| | - R Li
- E.A. Fischione Instruments, Inc., Export, PA, USA
| | - P Nowakowski
- E.A. Fischione Instruments, Inc., Export, PA, USA
| | - M L Ray
- E.A. Fischione Instruments, Inc., Export, PA, USA
| | - P Fischione
- E.A. Fischione Instruments, Inc., Export, PA, USA
| |
Collapse
|
3
|
Khan A, Shahab M, Nasir F, Waheed Y, Alshammari A, Mohammad A, Zichen G, Li R, Wei DQ. Exploring the Traditional Chinese Medicine (TCM) database chemical space to target I7L protease from monkeypox virus using molecular screening and simulation approaches. SAR QSAR Environ Res 2023; 34:689-708. [PMID: 37675795 DOI: 10.1080/1062936x.2023.2250723] [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: 05/24/2023] [Accepted: 08/16/2023] [Indexed: 09/08/2023]
Abstract
In the current study, we used molecular screening and simulation approaches to target I7L protease from monkeypox virus (mpox) from the Traditional Chinese Medicines (TCM) database. Using molecular screening, only four hits TCM27763, TCM33057, TCM34450 and TCM31564 demonstrated better pharmacological potential than TTP6171 (control). Binding of these molecules targeted Trp168, Asn171, Arg196, Cys237, Ser240, Trp242, Glu325, Ser326, and Cys328 residues and may affect the function of I7L protease in in vitro assay. Moreover, molecular simulation revealed stable dynamics, tighter structural packing and less flexible behaviour for all the complexes. We further reported that the average hydrogen bonds in TCM27763, TCM33057, TCM34450 and TCM31564I7L complexes remained higher than the control drug. Finally, the BF energy results revealed -62.60 ± 0.65 for the controlI7L complex, for the TCM27763I7L complex -71.92 ± 0.70 kcal/mol, for the TCM33057I7L complex the BF energy was -70.94 ± 0.70 kcal/mol, for the TCM34450I7L the BF energy was -69.94 ± 0.85 kcal/mol while for the TCM31564I7L complex the BF energy was calculated to be -69.16 ± 0.80 kcal/mol. Although, we used stateoftheart computational methods, these are theoretical insights that need further experimental validation.
Collapse
Affiliation(s)
- A Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, P.R. China
- Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Nayang, P.R. China
- School of Medical and Life Sciences, Sunway University, Sunway City, Malaysia
| | - M Shahab
- State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, China
| | - F Nasir
- Amna Inayat Medical College, Lahore, Pakistan
| | - Y Waheed
- Office of Research, Innovation, and Commercialization (ORIC), Shaheed Zulfiqar Ali Bhutto Medical University (SZABMU), Islamabad, Pakistan
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - A Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - A Mohammad
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait
| | - G Zichen
- Zhiyuan College, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - R Li
- Department of Flowers, college of Horticulture, China Agriculture University, Beijing, P.R. China
| | - D Q Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, P.R. China
- Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Nayang, P.R. China
- Peng Cheng Laboratory, Vanke Cloud City, Shenzhen, P.R China
| |
Collapse
|
4
|
Yin G, Li R, Liu Y, Wang X, Wu B. [Notch signaling pathway inhibitor DAPT improves alcohol-induced neuronal differentiation impairment in zebrafish]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:889-899. [PMID: 37439160 DOI: 10.12122/j.issn.1673-4254.2023.06.03] [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: 07/14/2023]
Abstract
OBJECTIVE To explore the role of the Notch signaling pathway in regulating neuronal differentiation and sensorimotor ability in a zebrafish model of fetal alcohol spectrum disorder. METHODS Zebrafish embryos treated with DMSO or 50 μmol/L DAPT (a Notch signaling pathway inhibitor) were examined for mortality rate, hatching rate, malformation rate, and body length at 15 days post fertilization (dpf). The mRNA expression levels of sox2, neurogenin1 and huc in the treated zebrafish embryos were detected using in situ hybridization and qRT-PCR, and their behavioral responses to strong light and vibration stimulation were observed. The zebrafish embryos were then exposed to DMSO, 1.5% ethanol, DAPT, or both ethanol and DAPT, and the changes in mRNA expression levels of sox2, neurogenin1, huc, and the Notch signaling pathway genes as well as behavioral responses were evaluated. RESULTS Exposure to 50 μmol/L DAPT significantly increased the mortality rate of 1 dpf zebrafish embryos (P < 0.01), decreased the hatching rate of 2 dpf embryos (P < 0.01), increased the malformation rate of 3 dpf embryos (P < 0.001), and reduced the body length of 15 dpf embryos (P < 0.05). DAPT treatment significantly downregulated sox2 mRNA expression (P < 0.01) and increased neurogenin1 (P < 0.05) and huc (P < 0.01) mRNA expressions in zebrafish embryos. The zebrafish with DAPT treatment exhibited significantly shortened movement distance (P < 0.001) and lowered movement speed (P < 0.05) in response to all the stimulation conditions. Compared with treatment with 1.5% ethanol alone, which obviously upregulated notch1a, her8a and NICD mRNA expressions in zebrafish embryos (P < 0.05), the combined treatment with ethanol and DAPT significantly increased neurogenin1 and huc mRNA expression, decreased sox2 mRNA expression (P < 0.01), and increased the moving distance and moving speed of zebrafish embryos in response to strong light stimulation (P < 0.05). CONCLUSION Ethanol exposure causes upregulation of the Notch signaling pathway and impairs neuronal differentiation and sensorimotor ability of zebrafish embryos, and these detrimental effects can be lessened by inhibiting the Notch signaling pathway.
Collapse
Affiliation(s)
- G Yin
- Medical Research Center of Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - R Li
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Y Liu
- Department of Neurology, Liaocheng People's Hospital, Liaocheng 252000, China
| | - X Wang
- Medical Research Center of Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - B Wu
- Medical Research Center of Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| |
Collapse
|
5
|
Zhong ZQ, Li R, Wang Z, Tian SS, Xie XF, Wang ZY, Na W, Wang QS, Pan YC, Xiao Q. Genome-wide scans for selection signatures in indigenous pigs revealed candidate genes relating to heat tolerance. Animal 2023; 17:100882. [PMID: 37406393 DOI: 10.1016/j.animal.2023.100882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 06/04/2023] [Accepted: 06/06/2023] [Indexed: 07/07/2023] Open
Abstract
Heat stress is a major problem that constrains pig productivity. Understanding and identifying adaptation to heat stress has been the focus of recent studies, and the identification of genome-wide selection signatures can provide insights into the mechanisms of environmental adaptation. Here, we generated whole-genome re-sequencing data from six Chinese indigenous pig populations to identify genomic regions with selection signatures related to heat tolerance using multiple methods: three methods for intra-population analyses (Integrated Haplotype Score, Runs of Homozygosity and Nucleotide diversity Analysis) and three methods for inter-population analyses (Fixation index (FST), Cross-population Composite Likelihood Ratio and Cross-population Extended Haplotype Homozygosity). In total, 1 966 796 single nucleotide polymorphisms were identified in this study. Genetic structure analyses and FST indicated differentiation among these breeds. Based on information on the location environment, the six breeds were divided into heat and cold groups. By combining two or more approaches for selection signatures, outlier signals in overlapping regions were identified as candidate selection regions. A total of 163 candidate genes were identified, of which, 29 were associated with heat stress injury and anti-inflammatory effects. These candidate genes were further associated with 78 Gene Ontology functional terms and 30 Kyoto Encyclopedia of Genes and Genomes pathways in enrichment analysis (P < 0.05). Some of these have clear relevance to heat resistance, such as the AMPK signalling pathway and the mTOR signalling pathway. The results improve our understanding of the selection mechanisms responsible for heat resistance in pigs and provide new insights of introgression in heat adaptation.
Collapse
Affiliation(s)
- Z Q Zhong
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - R Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Z Wang
- Department of Animal Science, College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - S S Tian
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - X F Xie
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Z Y Wang
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - W Na
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Q S Wang
- Hainan Yazhou Bay Seed Laboratory, Yongyou Industrial Park, Yazhou Bay Sci-Tech City, Sanya 572025, China; Department of Animal Science, College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Y C Pan
- Hainan Yazhou Bay Seed Laboratory, Yongyou Industrial Park, Yazhou Bay Sci-Tech City, Sanya 572025, China; Department of Animal Science, College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Q Xiao
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China.
| |
Collapse
|
6
|
Liu M, Li R, Bai C, Chen Q, Yin Y, Chen Y, Zhou X, Zhao X. Predictive value of DEEPVESSEL-fractional flow reserve and quantitative plaque analysis based on coronary CT angiography for major adverse cardiac events. Clin Radiol 2023:S0009-9260(23)00179-4. [PMID: 37258332 DOI: 10.1016/j.crad.2023.04.013] [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: 09/27/2022] [Revised: 03/26/2023] [Accepted: 04/25/2023] [Indexed: 06/02/2023]
Abstract
AIM To investigate the predictive value of the combination of DEEPVESSEL-fractional flow reserve (DVFFR) and quantitative plaque analysis using coronary computed tomographic angiography (CCTA) for major adverse cardiac events (MACE). METHOD In this retrospective study, data from 69 vessels from 58 consecutive patients were collected. These patients who underwent coronary angiography (CAG) with DVFFR were divided into MACE-positive and MACE-negative groups. DVFFR measurements were obtained from CCTA images acquired before CAG, and an FFR or DVFFR value ≤ 0.80 was considered haemodynamically significant. CCTA images were analysed quantitatively using automated software to obtain the following indices: total plaque volume (TPV) and burden (TPB), calcified plaque volume (CPV) and burden (CPB), non-calcified plaque volume (NCPV) and burden (NCPB), low-attenuation plaque (LAP), minimum lumen area (MLA), stenosis grade (SG) and lesion length (LL). Univariate and multivariate logistic regression, correlation, and receiver operating characteristic (ROC) analyses were used for statistical analysis. RESULTS DVFFR was highly correlated with invasive FFR (R=0.728), and the Bland-Altman plot showed good agreement between DVFFR and FFR (95% CI: -0.109-0.087) on a per-vessel level. DVFFR showed a high diagnostic performance in identifying abnormal haemodynamic vessels, with an area under the ROC curve (AUC) of 0.984. In multivariate analysis, the following biomarkers were predictors of MACE: DVFFR ≤ 0.8, SG, TPB, NCPB, and LL values. The combination of the above independent risk factors yielded the most valuable prediction for MACE (AUC:0.888). CONCLUSIONS DVFFR was highly correlated with FFR with satisfactory diagnostic accuracy. DVFFR, together with plaque analysis indices, yielded valuable predictions for MACE.
Collapse
Affiliation(s)
- M Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - R Li
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - C Bai
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Q Chen
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Y Yin
- Keya Medical, Shenzhen, China
| | - Y Chen
- Keya Medical, Shenzhen, China
| | - X Zhou
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - X Zhao
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
| |
Collapse
|
7
|
Zhong JJ, Wei M, Yang CX, Yin YD, Bai Y, Li R, Gu L. [Molecular epidemiology and clinical characteristics of six cases of CA-MRSA pneumonia after influenza]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:480-486. [PMID: 37147810 DOI: 10.3760/cma.j.cn112147-20220926-00782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To summarize and analyze the strains' molecular epidemiology and clinical characteristics of 6 strains of post-influenza community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) pneumonia. Methods: Six cases of CA-MRSA pneumonia after influenza from 2014 to 2022 were retrospectively collected and CA-MRSA strains from each patient were cultured. Then, SCCmec typing, MLST typing, and spa typing were performed on the samples, which also included the procedures for the detection of virulence factors. Antibiotic susceptibility test was then performed on all 6 strains. Results: ST59-t437-Ⅳ was the predominant type in all the strains of CA-MRSA(2/6). Leukocidin (PVL) was detected in 5 cases, and hemolysin α (HLAα) and phenol soluble regulatory protein α (PSMα) were detected in 6 cases. Five of the cases included in this study were diagnosed with severe pneumonia. In terms of treatment, 4 cases received antiviral therapy, and 5 patients with severe pneumonia received anti-infection treatment with vancomycin as the first choice and were discharged after improvement of their condition. Conclusions: The molecular types and virulence factors of CA-MRSA after influenza infection could vary considerably. Our experiments also showed that secondary CA-MRSA infection after influenza was more common in young people with no underlying diseases and could cause severe pneumonia. Vancomycin and linezolid were the first-line drugs for treating CA-MRSA infection and were highly effective in improving the condition of diagnosed patients. We highlighted the importance of referring patients with severe pneumonia after influenza for etiological tests to determine whether they had CA-MRSA infection, so that they could be properly treated with anti-influenza agents and receive appropriate anti-CA-MRSA infection treatment.
Collapse
Affiliation(s)
- J J Zhong
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - M Wei
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - C X Yang
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Y D Yin
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Bai
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - R Li
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - L Gu
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| |
Collapse
|
8
|
Ma JB, Zeng LC, Ren F, Dang LY, Luo H, Wu YQ, Yang XJ, Li R, Yang H, Xu Y. Development and validation of a prediction model for unsuccessful treatment outcomes in patients with multi-drug resistance tuberculosis. BMC Infect Dis 2023; 23:289. [PMID: 37147607 PMCID: PMC10161636 DOI: 10.1186/s12879-023-08193-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 03/23/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND The World Health Organization has reported that the treatment success rate of multi-drug resistance tuberculosis is approximately 57% globally. Although new drugs such as bedaquiline and linezolid is likely improve the treatment outcome, there are other factors associated with unsuccessful treatment outcome. The factors associated with unsuccessful treatment outcomes have been widely examined, but only a few studies have developed prediction models. We aimed to develop and validate a simple clinical prediction model for unsuccessful treatment outcomes in patients with multi-drug resistance pulmonary tuberculosis (MDR-PTB). METHODS This retrospective cohort study was performed between January 2017 and December 2019 at a special hospital in Xi'an, China. A total of 446 patients with MDR-PTB were included. Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were used to select prognostic factors for unsuccessful treatment outcomes. A nomogram was built based on four prognostic factors. Internal validation and leave-one-out cross-validation was used to assess the model. RESULTS Of the 446 patients with MDR-PTB, 32.9% (147/446) cases had unsuccessful treatment outcomes, and 67.1% had successful outcomes. After LASSO regression and multivariate logistic analyses, no health education, advanced age, being male, and larger extent lung involvement were identified as prognostic factors. These four prognostic factors were used to build the prediction nomograms. The area under the curve of the model was 0.757 (95%CI 0.711 to 0.804), and the concordance index (C-index) was 0.75. For the bootstrap sampling validation, the corrected C-index was 0.747. In the leave-one-out cross-validation, the C-index was 0.765. The slope of the calibration curve was 0.968, which was approximately 1.0. This indicated that the model was accurate in predicting unsuccessful treatment outcomes. CONCLUSIONS We built a predictive model and established a nomogram for unsuccessful treatment outcomes of multi-drug resistance pulmonary tuberculosis based on baseline characteristics. This predictive model showed good performance and could be used as a tool by clinicians to predict who among their patients will have an unsuccessful treatment outcome.
Collapse
Affiliation(s)
- J-B Ma
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - L-C Zeng
- Xi'an Center for Disease Control and Prevention, Xi'an, Shaanxi Province, China
| | - F Ren
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China.
| | - L-Y Dang
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - H Luo
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - Y-Q Wu
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - X-J Yang
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - R Li
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - H Yang
- Department of Clinical Laboratory, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - Y Xu
- Department of Drug-resistance tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| |
Collapse
|
9
|
Jiang K, Huang TW, Li R, Yu MY, Zhuo HB, Wu SZ, Zhou CT, Ruan SC. Branching of High-Current Relativistic Electron Beam in Porous Materials. Phys Rev Lett 2023; 130:185001. [PMID: 37204906 DOI: 10.1103/physrevlett.130.185001] [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: 12/09/2022] [Revised: 02/27/2023] [Accepted: 04/13/2023] [Indexed: 05/21/2023]
Abstract
Propagation of high-current relativistic electron beam (REB) in plasma is relevant to many high-energy astrophysical phenomena as well as applications based on high-intensity lasers and charged-particle beams. Here, we report a new regime of beam-plasma interaction arising from REB propagation in medium with fine structures. In this regime, the REB cascades into thin branches with local density a hundred times the initial value and deposits its energy 2 orders of magnitude more efficiently than that in homogeneous plasma, where REB branching does not occur, of similar average density. Such beam branching can be attributed to successive weak scatterings of the beam electrons by the unevenly distributed magnetic fields induced by the local return currents in the skeletons of the porous medium. Results from a model for the excitation conditions and location of the first branching point with respect to the medium and beam parameters agree well with that from pore-resolved particle-in-cell simulations.
Collapse
Affiliation(s)
- K Jiang
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
- College of Applied Sciences, Shenzhen University, Shenzhen 518060, People's Republic of China
| | - T W Huang
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
| | - R Li
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
| | - M Y Yu
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
| | - H B Zhuo
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
| | - S Z Wu
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
| | - C T Zhou
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
- College of Applied Sciences, Shenzhen University, Shenzhen 518060, People's Republic of China
| | - S C Ruan
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, People's Republic of China
- College of Applied Sciences, Shenzhen University, Shenzhen 518060, People's Republic of China
| |
Collapse
|
10
|
Ortiz Moreno AR, Li R, Wu K, Schirhagl R. Lipid peroxidation in diamond supported bilayers. Nanoscale 2023; 15:7920-7928. [PMID: 37067002 DOI: 10.1039/d3nr01167d] [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] [Indexed: 05/05/2023]
Abstract
Lipid peroxidation is a process that occurs in cells when they are exposed to oxidative stress. During the process reactive oxygen species attack lipids within the lipid bilayers of cells. Since the products of lipid peroxidation are toxic and carcinogenic, it is important to understand where and how it occurs with nanoscale resolution. The radical intermediates of this process are particularly interesting since they are causing chain reactions damaging large parts of the lipid membranes in cells. However, they are also difficult to measure for the state of the art because they are short lived and reactive. Here, we study the lipid peroxidation of three artificial lipid bilayers on a diamonds substrate that can be used to study lipid peroxidation. In particular, we present a diamond quantum sensing method called T1-relaxometry that allows for in situ measurements and imaging of radical intermediates of lipid peroxidation in these membranes.
Collapse
Affiliation(s)
- A R Ortiz Moreno
- Groningen University, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AW Groningen, the Netherlands.
| | - R Li
- Groningen University, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AW Groningen, the Netherlands.
| | - K Wu
- Groningen University, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AW Groningen, the Netherlands.
| | - R Schirhagl
- Groningen University, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AW Groningen, the Netherlands.
| |
Collapse
|
11
|
Li R, Zhang SR, Liu XF, Zhang JW, Zhao JY, Bai P, Zhang XC. [Prognostic factors for non-small cell lung cancer patients with central nervous system metastasis with positive driver genes]. Zhonghua Yi Xue Za Zhi 2023; 103:1202-1209. [PMID: 37087403 DOI: 10.3760/cma.j.cn112137-20221028-02243] [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: 04/24/2023]
Abstract
Objective: To investigate the prognostic factors of patients with central nervous system (CNS) metastatic non-small cell lung cancer (NSCLC) with positive driver genes. Methods: The clinical data of 103 patients with CNS metastatic NSCLC admitted to Beijing Tongren Hospital from January 2016 to December 2020 were retrospectively analyzed, and the patients were divided into positive driver gene group (patients with driver genes mutation and receiving corresponding targeted therapy) and negative driver gene group. Cox univariate and multivariate regression analyses were performed to identify the factors affecting patients' prognosis, and the receiver operating characteristic curve (ROC) was used to compare the predictive ability of 4 scoring systems [recursive partitioning analysis (RPA) classes, diagnosis-specific graded prognostic assessment (DS-GPA) index, basic score for brain metastasesn (BS-BM) and (lung-molecular graded prognostic assessment (lung-mol GPA)]on patients' prognosis. Results: Among the 103 patients, 48 were males and 55 were females, and aged (64.6±9.7) years old. The median survival time of the 103 patients was 24.0 (95%CI: 20.0-28.0) months, the median survival time of the 59 patients in the positive driver gene group was 33.0 (95%CI: 23.4-42.6) months, the median survival time of the 44 patients in the negative driver gene group was 17.0 (95%CI: 14.4-19.6) months, and the difference was statistically significant (χ2=24.69, P<0.001). The results of Cox multivariate analysis showed that the negative driver genes (HR=3.788, 95%CI: 1.951-7.301, P=0.001), Karnofsky performance status (KPS) score<70 (HR=2.613, 95%CI: 1.185-5.761, P=0.017) and neutrophil-to-lymphocyte ratio (NLR)>3.22 (HR=2.714, 95%CI: 1.157-6.365, P=0.022) were independent risk factors affecting the prognosis of patients with CNS metastatic NSCLC. KPS score<70 (HR=3.719, 95%CI: 1.165-11.876, P=0.027) and no radiotherapy (HR=2.032, 95%CI: 1.033-11.364, P=0.041) were independent risk factors affecting the prognosis of patients with CNS metastatic NSCLC with positive driver genes. ROC curve analysis showed that the area under curve (AUC) value of lung-mol GPA was the highest among the 4 scoring systems (AUC=0.843, 95%CI: 0.731-0.956, P<0.001), and the AUC value of the lung-mol GPA combined scoring system (AUC=0.904, 95%CI: 0.816-0.991, P<0.001) was higher than lung-mol GPA. Conclusions: A low KPS score and no cranial radiation therapy are independent risk factors for the prognosis of patients with CNS metastatic NSCLC with positive driver genes; the lung-mol GPA joint scoring system is more conducive to the prognostic assessment of patients with CNS metastatic NSCLC with positive driver genes.
Collapse
Affiliation(s)
- R Li
- Department of Respiratory and Critical Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China
| | - S R Zhang
- Department of Oncology, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China
| | - X F Liu
- Department of Respiratory and Critical Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China
| | - J W Zhang
- Department of Respiratory and Critical Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China
| | - J Y Zhao
- Department of Oncology, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China
| | - P Bai
- Department of Respiratory and Critical Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China
| | - X C Zhang
- Department of Respiratory and Critical Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China
| |
Collapse
|
12
|
Cui J, Li R, Liu X, Zhao Y, Zhang X, Liu Q, Li T. [Cardiac magnetic resonance-feature tracking technique can assess cardiac function and prognosis in patients with myocardial amyloidosis]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:660-666. [PMID: 37202205 DOI: 10.12122/j.issn.1673-4254.2023.04.22] [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: 05/20/2023]
Abstract
OBJECTIVE To quantitatively assess cardiac functions in patients with cardiac amyloidosis (CA) and hypertrophic cardiomyopathy (HCM) using cardiac magnetic resonance-feature tracking (CMR-FT) technique and evaluate the prognostic value of CMR-FT in patients with CA. METHODS We retrospectively collected the data from 31 CA patients with systemic amyloidosis confirmed by Congo red staining and serum immunohistochemistry after extracardiac tissue biopsy undergoing CMR at our hospital from March, 2013 to June, 2021.Thirty-one age and gender matched patients with asymmetric left ventricular wall hypertrophy and 31 healthy individuals without organic or functional heart disease served as the controls.Radial, circumferential and longitudinal strains and strain rates of the left ventricle at the global level and in each myocardial segment (basal, middle and apical) were obtained with CMR-FT technique and compared among the 3 groups.The predictive value of myocardial strains and strain rates for all-cause mortality in CA patients was analyzed using a stepwise COX regression model. RESULTS The left ventricular volume, myocardial mass, ejection fraction and cardiac output differed significantly among the groups (P < 0.05).Except for apical longitudinal strain, the global and segmental strains were all significantly lower in CA group than in HCM group (P < 0.05).The global and segmental strains were all significantly lower in CA group than in the healthy individuals (P < 0.05).The basal strain rates in the 3 directions were significantly lower in CA group than in the healthy individuals (P < 0.05), but the difference in apical strain rates was not statistically significant between the two groups.Multivariate stepwise COX analysis showed that troponin T (HR=1.05, 95%CI: 1.01-1.10, P=0.017) and middle peak diastolic circumferential strain rate (HR=6.87, 95%CI: 1.52-31.06, P=0.012) were strong predictors of death in CA patients. CONCLUSION Strain and strain rate parameters derived from CMR-FT based on cine sequences are new noninvasive imaging markers for assessing cardiac impairment in CA and cardiac function changes in HCM, and provide independent predictive information for all-cause mortality in CA patients.
Collapse
Affiliation(s)
- J Cui
- Department of Radiology, First Medical center, PLA General Hospital, Beijing 100853, China
| | - R Li
- Department of Magnetic Resonance, Yulin Hospital of Traditional Chinese Medicine, Yulin 719000, China
| | - X Liu
- Department of Imaging, Qinhuangdao Workers' Hospital, Qinhuangdao 066200, China
| | - Y Zhao
- Department of Radiology, First Medical center, PLA General Hospital, Beijing 100853, China
| | - X Zhang
- Department of Radiology, First Medical center, PLA General Hospital, Beijing 100853, China
| | - Q Liu
- Department of Magnetic Resonance, Yulin Hospital of Traditional Chinese Medicine, Yulin 719000, China
| | - T Li
- Department of Radiology, First Medical center, PLA General Hospital, Beijing 100853, China
| |
Collapse
|
13
|
He N, Feng G, Zhang FN, Hao S, Li R, Zhao ZQ, Tian YW, Yan HL. [Expression and clinical significance of plasma methylated SEPT 9 gene in patients with primary liver cancer]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:265-270. [PMID: 37137852 DOI: 10.3760/cma.j.cn501113-20211114-00553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Objective: To investigate the expression and clinical significance of plasma methylated SEPT9 (mSEPT9) gene in patients with primary liver cancer. Methods: 393 cases who visited our hospital from May 2016 to October 2018 were selected. Among them, 75 cases were in the primary liver cancer (PLC) group, 50 cases were in the liver cirrhosis (LC) group, and 268 cases were in the healthy control group (HC). The three groups' positive rates of mSEPT9 expression in the peripheral plasma were detected by the polymerase chain reaction (PCR) fluorescent probe method. The correlational clinical features of liver cancer were analyzed. At the same time, the electrochemiluminescence detection method was used to compare the AFP positive rate. Statistical analysis was conducted using chi-square tests or continuity-corrected chi-square tests. Results: 367 cases actually had valid samples. There were 64, 42, and 64 cases in the liver cancer group, cirrhosis group, and healthy control group, respectively. Among them, 34 cases of liver cancer were verified from pathological tissues. The positive rate of plasma mSEPT9 was significantly higher in the liver cancer group than that in the liver cirrhosis and healthy control groups [76.6% (49/64), 35.7% (15/42), and 3.8% (10/261), respectively], and the differences were statistically significant (χ (2) = 176.017, P < 0.001). The sensitivity of plasma mSEPT9 detection (76.6%) was significantly better in liver cancer (76.6%) than that of AFP patients (54.7%), and the difference was statistically significant (χ (2) = 6.788, P < 0.01). Compared with the single detection, the sensitivity and specificity of plasma mSEPT9 combined with AFP were significantly improved (89.7% vs. 96.3%, respectively). Patients with liver cancer aged≥50 years, with clinical stage II or above, and those with pathological signs of moderate to low differentiation had higher levels of plasma mSEPT9 positive expression, and the differences were statistically significant (χ (2) = 6.41, 9.279, 6.332, P < 0.05). During the follow-up period, the survival time of liver cancer patients with positive plasma mSEPT9 expression was significantly shorter than that of those with negative expression (310 ± 26 days vs. 487 ± 59 days, respectively), with statistically significant differences (Log Rank P = 0.039). Conclusion: In China, the positive rate of plasma mSEPT9 detection in liver cancer patients is higher than that of AFP in relation to age, clinical stage, and degree of tissue differentiation; additionally, it has certain survival predictive values. As a result, detecting this gene has important clinical significance and potential clinical application value in the non-invasive diagnosis and prognosis assessment of patients with primary liver cancer.
Collapse
Affiliation(s)
- N He
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi 'an 710006, China
| | - G Feng
- Institute of General Medicine, Xi 'an Medical University, Xi'an 710077, China
| | - F N Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi 'an 710006, China
| | - S Hao
- Xi 'an Medical College, Xi 'an 710077, China
| | - R Li
- Xi 'an Medical College, Xi 'an 710077, China
| | - Z Q Zhao
- Xi 'an Medical College, Xi 'an 710077, China
| | - Y W Tian
- Xi 'an Medical College, Xi 'an 710077, China
| | - H L Yan
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi 'an 710006, China
| |
Collapse
|
14
|
Xu QP, Xu LN, Sun JN, Liu HR, Pan HC, Zhang SY, Wang K, Li R. [Analysis of efficacy and safety of a new endoscopic anastomosis clip in the treatment of defects after endoscopic full-thickness resection]. Zhonghua Yi Xue Za Zhi 2023; 103:740-745. [PMID: 36889687 DOI: 10.3760cma.j.cn/112137-20220913-01931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
Objective: To investigate the efficacy and safety of a new endoscopic anastomosis clip in the treatment of defects after endoscopic full-thickness resection (EFTR). Methods: Retrospective cohort study. Fourteen patients [4 males and 10 females, aged (55.9±8.2) years (45-69 years)] with gastric submucosal tumors underwent EFTR at the First Affiliated Hospital of Soochow University were included from December 2018 to January 2021. Patients were divided into new anastomotic clamp group (n=6) and nylon ring combined with metal clips group (n=8). Preoperative endoscopic ultrasound examinations were required to all patients to evaluate the wound condition. The size of the defect, operation time required for wound closure, success rate of closure, postoperative gastric tube placement time, postoperative hospital stay, incidence of complications, preoperative and postoperative serological indexes were compared between the two groups. All patients were followed up after the operation, among which the general endoscopy was reviewed in the first month after the operation, and the telephone and questionnaire follow-up were used in the second, third, sixth month and one year after the operation to evaluate the therapeutic effect of the new endoscopic anastomosis clip and nylon rope combined with metal clip after the EFTR operation. Results: Both groups successfully completed EFTR and were successfully closed. There was no significant difference between the age, tumor diameter and defect diameter of the two groups (all P>0.05). Compared with the nylon ring combined with metal clip group, the operation time of the new anastomotic clip group was shortened [(5.0±1.8) minutes vs (35.6±10.2) minutes, P<0.001]. The operation time was shortened [(62.2±12.5) minutes vs (92.5±0.2) minutes, P=0.007]. Postoperative fasting time decreased [(2.8±0.8) days vs (4.9±1.1) days, P=0.002]. The hospital stay after operation was also shortened [(5.2±0.8) days vs (6.9±1.5) days, P=0.023]. The total intraoperative bleeding volume decreased [(20.00±5.48) ml vs (35.63±14.75) ml, P=0.031]. The patients in both groups received endoscopic examination 1 month after operation, and there was no delayed perforation and bleeding after operation. There was no obvious symptoms of discomfort. Conclusion: The new anastomotic clamp is suitable for the treatment of full-thickness gastric wall defects after EFTR, and shows advantages of shorter operation, less bleeding, and fewer postoperative complications.
Collapse
Affiliation(s)
- Q P Xu
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - L N Xu
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - J N Sun
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - H R Liu
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - H C Pan
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - S Y Zhang
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - K Wang
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - R Li
- Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| |
Collapse
|
15
|
Duran B, Meziani ZE, Joosten S, Jones MK, Prasad S, Peng C, Armstrong W, Atac H, Chudakov E, Bhatt H, Bhetuwal D, Boer M, Camsonne A, Chen JP, Dalton MM, Deokar N, Diefenthaler M, Dunne J, El Fassi L, Fuchey E, Gao H, Gaskell D, Hansen O, Hauenstein F, Higinbotham D, Jia S, Karki A, Keppel C, King P, Ko HS, Li X, Li R, Mack D, Malace S, McCaughan M, McClellan RE, Michaels R, Meekins D, Paolone M, Pentchev L, Pooser E, Puckett A, Radloff R, Rehfuss M, Reimer PE, Riordan S, Sawatzky B, Smith A, Sparveris N, Szumila-Vance H, Wood S, Xie J, Ye Z, Yero C, Zhao Z. Determining the gluonic gravitational form factors of the proton. Nature 2023; 615:813-816. [PMID: 36991189 DOI: 10.1038/s41586-023-05730-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 01/13/2023] [Indexed: 03/31/2023]
Abstract
The proton is one of the main building blocks of all visible matter in the Universe1. Among its intrinsic properties are its electric charge, mass and spin2. These properties emerge from the complex dynamics of its fundamental constituents-quarks and gluons-described by the theory of quantum chromodynamics3-5. The electric charge and spin of protons, which are shared among the quarks, have been investigated previously using electron scattering2. An example is the highly precise measurement of the electric charge radius of the proton6. By contrast, little is known about the inner mass density of the proton, which is dominated by the energy carried by gluons. Gluons are hard to access using electron scattering because they do not carry an electromagnetic charge. Here we investigated the gravitational density of gluons using a small colour dipole, through the threshold photoproduction of the J/ψ particle. We determined the gluonic gravitational form factors of the proton7,8 from our measurement. We used a variety of models9-11 and determined, in all cases, a mass radius that is notably smaller than the electric charge radius. In some, but not all cases, depending on the model, the determined radius agrees well with first-principle predictions from lattice quantum chromodynamics12. This work paves the way for a deeper understanding of the salient role of gluons in providing gravitational mass to visible matter.
Collapse
Affiliation(s)
- B Duran
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - Z-E Meziani
- Physics Division, Argonne National Laboratory, Lemont, IL, USA.
- Department of Physics, Temple University, Philadelphia, PA, USA.
| | - S Joosten
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - M K Jones
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - S Prasad
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - C Peng
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - W Armstrong
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - H Atac
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - E Chudakov
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - H Bhatt
- Department of Physics & Astronomy, Mississippi State University, Mississippi State, MS, USA
| | - D Bhetuwal
- Department of Physics & Astronomy, Mississippi State University, Mississippi State, MS, USA
| | - M Boer
- Department of Physics, Virginia Polytechnic Institute & State University, Blacksburg, VA, USA
| | - A Camsonne
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - J-P Chen
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - M M Dalton
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - N Deokar
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - M Diefenthaler
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - J Dunne
- Department of Physics & Astronomy, Mississippi State University, Mississippi State, MS, USA
| | - L El Fassi
- Department of Physics & Astronomy, Mississippi State University, Mississippi State, MS, USA
| | - E Fuchey
- Department of Physics, University of Connecticut, Storrs, CT, USA
| | - H Gao
- Department of Physics, Duke University, Durham, NC, USA
| | - D Gaskell
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - O Hansen
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - F Hauenstein
- Department of Physics, Old Dominion University, Norfolk, VA, USA
| | - D Higinbotham
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - S Jia
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - A Karki
- Department of Physics & Astronomy, Mississippi State University, Mississippi State, MS, USA
| | - C Keppel
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - P King
- Department of Physics and Astronomy, Ohio University, Athens, OH, USA
| | - H S Ko
- CNRS/IN2P3, IJCLab Orsay, Université Paris-Saclay, Gif-sur-Yvette, France
| | - X Li
- Department of Physics, Duke University, Durham, NC, USA
| | - R Li
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - D Mack
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - S Malace
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - M McCaughan
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - R E McClellan
- Natural Sciences Department, Pensacola State College, Pensacola, FL, USA
| | - R Michaels
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - D Meekins
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - Michael Paolone
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - L Pentchev
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - E Pooser
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - A Puckett
- Department of Physics, University of Connecticut, Storrs, CT, USA
| | - R Radloff
- Department of Physics and Astronomy, Ohio University, Athens, OH, USA
| | - M Rehfuss
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - S Riordan
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - B Sawatzky
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - A Smith
- Department of Physics, Duke University, Durham, NC, USA
| | - N Sparveris
- Department of Physics, Temple University, Philadelphia, PA, USA
| | - H Szumila-Vance
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - S Wood
- Experimental Nuclear Physics Division, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - J Xie
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - Z Ye
- Physics Division, Argonne National Laboratory, Lemont, IL, USA
| | - C Yero
- Department of Physics, Old Dominion University, Norfolk, VA, USA
| | - Z Zhao
- Department of Physics, Duke University, Durham, NC, USA
| |
Collapse
|
16
|
Li R, Meng Z, Zhang Y, He Y. Anterolateral thigh flap with a central hole for the repair of extensive oral defects in patients treated for chemotherapy-induced trismus. Int J Oral Maxillofac Surg 2023; 52:313-317. [PMID: 35941054 DOI: 10.1016/j.ijom.2022.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 11/19/2022]
Abstract
Trismus is a rare complication of chemotherapy. The usefulness of a modified anterolateral thigh (ALT) flap for the repair of extensive oral defects in patients treated for chemotherapy-induced trismus was evaluated. Between 2019 and 2021, three patients with chemotherapy-induced trismus underwent scar excision. A thinned ALT flap with a central hole was designed to repair the resultant oral mucosal defects. The patients were followed up for a mean 9.3 months (range 4-18 months). The mean pre- and intraoperative maximum inter-incisal opening (MIO) was 0.7 cm (range 0-2.0 cm) and 3.6 cm (range 3.4-3.7 cm), respectively, indicating a significant operative effect. MIO at the latest follow-up was 2.4 cm (range 1.5-3.5 cm). All of the flaps survived without complications. All patients achieved a good diet and were satisfied with the aesthetics. Thorough excision of the perioral scar and restoration with a modified ALT flap achieved satisfactory mouth opening and cosmetic effects in patients with chemotherapy-induced trismus.
Collapse
Affiliation(s)
- R Li
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China
| | - Z Meng
- Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, China
| | - Y Zhang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China
| | - Y He
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China.
| |
Collapse
|
17
|
Lin S, Guo RY, Liu KY, Mi HY, Wang MY, Fu HJ, Li R. [Clinical analysis of 11 patients with neuroendocrine carcinoma in maxillofacial region]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:151-157. [PMID: 36746448 DOI: 10.3760/cma.j.cn112144-20220803-00436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Objective: To investigate the clinicopathological features, treatment and prognosis of maxillofacial neuroendocrine carcinoma. Methods: A total of 11 patients with maxillofacial neuroendocrine carcinoma diagnosed in the Department of Pathology of The First Affiliated Hospital of Zhengzhou University from December 2010 to July 2022 were retrospectively enrolled, including 8 males and 3 females, aged (65.2±9.5) years (ranged from 49 to 87 years), with a disease course of 0.5 to 6.0 months. The clinicopathological data including head and neck CT, MRI and treatment methods were analyzed. Results: Submandibular gland and maxilla were involved in 3 cases, parapharynx in 2 cases, and face, tongue root and soft palate in 1 case respectively. Clinically, the initial symptom is a rapidly growing painless or tender mass, which may be accompanied by restricted mouth opening, dysphagia, and local numbness after invasion of masticatory muscles and nerves. The tumors were all invasive and low-density, with unclear boundaries from the surrounding tissues. Among the patients, 9 received surgical treatment, and 5 received adjuvant treatment after surgery (2 received chemotherapy, 3 received radiotherapy+chemotherapy). According to the 5th edition of the World Health Organization classification of head and neck tumors in 2022, there were 1 case (1/11) with poorly differentiated large cells and 10 cases (10/11) with poorly differentiated small cells. Histologically, the macrocell type is composed of large cells with rough chromatin, obvious vacuolar nucleolus, protruding nucleolus, and necrosis. The small cell type is dominated by small blue round cells with neuroendocrine characteristics, with active growth and multifocal necrosis. Immunohistochemical staining showed that cytokeratin (CK), epithelial membrane antigen (EMA) and synaptophysin (Syn) were diffusively expressed, 10 cases expressed CD56, 8 cases expressed p63, 6 cases expressed weakly punctated chromograin-A (CgA), and S-100 was not expressed. The Ki-67 index ranges from 20 to 90 percent. By the end of follow-up (0.5 to 127.0 months), 3 patients were alive, and the mean progression-free survival (21.0 months) of postoperative chemoradiotherapy patients was significantly longer than that of surgery and/or chemotherapy alone (3.3 months). Conclusions: Maxillofacial neuroendocrine carcinoma is characterized by low differentiation of small cells, high degree of malignancy and poor prognosis. Radical surgery combined with chemoradiotherapy has better local control effect.
Collapse
Affiliation(s)
- S Lin
- Depertment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - R Y Guo
- Depertment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - K Y Liu
- Depertment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H Y Mi
- Depertment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - M Y Wang
- Depertment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H J Fu
- Depertment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - R Li
- Depertment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| |
Collapse
|
18
|
Cui H, Zeng L, Li R, Li Q, Hong C, Zhu H, Chen L, Liu L, Zou X, Xiao L. Radiomics signature based on CECT for non-invasive prediction of response to anti-PD-1 therapy in patients with hepatocellular carcinoma. Clin Radiol 2023; 78:e37-e44. [PMID: 36257868 DOI: 10.1016/j.crad.2022.09.113] [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: 05/09/2022] [Revised: 08/07/2022] [Accepted: 09/02/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE This study aimed to develop a radiomics signature (RS) based on contrast-enhanced computed tomography (CECT) and evaluate its potential predictive value in hepatocellular carcinoma (HCC) patients receiving anti-PD-1 therapy. METHOD CECT scans of 76 HCC patients who received anti-PD-1 therapy were obtained in this study (training group = 53 and validation group = 23). The least absolute shrinkage and selection operator (LASSO) regression was applied to select radiomics features of primary and metastatic lesions and establish a RS to predict lesion-level response. Then, a nomogram combined the mean RS (MRS) and clinical variables with patient-level response as the end point. RESULTS In the lesion-level analysis, the area under the curves (AUCs) of RS in the training and validation groups were 0.751 (95% CI, 0.668-0.835) and 0.734 (95% CI, 0.604-0.864), respectively. In the patient-level analysis, the AUCs of the nomogram in the training and validation groups were 0.897 (95% CI, 0.798-0.996) and 0.889 (95% CI, 0.748-1.000), respectively. The nomogram stratified patients into low- and high-risk groups, which showed a significant difference in progression-free survival (PFS) (p<0.05). CONCLUSIONS The RS is a noninvasive biomarker for predicting anti-PD-1 therapy response in patients with HCC. The nomogram may be of clinical use for identifying high-risk patients and formulating individualised treatments.
Collapse
Affiliation(s)
- H Cui
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - L Zeng
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - R Li
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Q Li
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - C Hong
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - H Zhu
- Department of Medical Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - L Chen
- Department of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - L Liu
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - X Zou
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - L Xiao
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| |
Collapse
|
19
|
Nocera L, Bandini M, Basile G, Moschini M, Naidu S, Rose K, Li R, Spiess P, Necchi A. Chemotherapy vs. immunotherapy as neoadjuvant therapies in cisplatin-eligible patients undergoing radical cystectomy for muscle invasive bladder cancer. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)01330-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
|
20
|
Necchi A, Li R, Rose K, Davaro F, Davaro E, Spiess P, Petros G, Bratslavsky G, Jacob J, Pavlick D, Ross J, Huang R, Lin D, Danziger N, Graf R. CDH1-mutated clinically advanced urothelial bladder cancer (UBC): A genomic landscape and real-world clinical outcome study (RWCOS). Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00588-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
|
21
|
Pott U, Crasselt C, Fobbe N, Haist M, Heinemann M, Hellmann S, Ivanov D, Jakob C, Jansen D, Lei L, Li R, Link J, Lowke D, Mechtcherine V, Neubauer J, Nicia D, Plank J, Reißig S, Schäfer T, Schilde C, Schmidt W, Schröfl C, Sowoidnich T, Strybny B, Ukrainczyk N, Wolf J, Xiao P, Stephan D. Characterization data of reference materials used for phase II of the priority program DFG SPP 2005 "Opus Fluidum Futurum - Rheology of reactive, multiscale, multiphase construction materials". Data Brief 2023; 47:108902. [PMID: 36747980 PMCID: PMC9898608 DOI: 10.1016/j.dib.2023.108902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/08/2023] [Accepted: 01/09/2023] [Indexed: 01/15/2023] Open
Abstract
A thorough characterization of base materials is the prerequisite for further research. In this paper, the characterization data of the reference materials (CEM I 42.5 R, limestone powder, calcined clay and a mixture of these three components) used in the second funding phase of the priority program 2005 of the German Research Foundation (DFG SPP 2005) are presented under the aspects of chemical and mineralogical composition as well as physical and chemical properties. The data were collected based on tests performed by up to eleven research groups involved in this cooperative program.
Collapse
Affiliation(s)
- U. Pott
- Department of Civil Engineering, Technische Universität Berlin, Berlin 13355, Germany
| | - C. Crasselt
- Bundesanstalt für Materialforschung und -prüfung, Berlin 12205, Germany
| | - N. Fobbe
- GeoZentrum Nordbayern, Mineralogy, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - M. Haist
- Institute of Building Materials Science, Leibniz Universität Hannover, Hannover 30167, Germany
| | - M. Heinemann
- F. A. Finger-Institute for Building Material Science, Bauhaus-Universität Weimar, Weimar 99423, Germany
| | - S. Hellmann
- Institute of Geosciences, Applied Geology, Friedrich-Schiller-Universität Jena, Jena 07749, Germany
| | - D. Ivanov
- Institute for Particle Technology (iPAT), Technische Universität Braunschweig, Braunschweig 38106, Germany
| | - C. Jakob
- GeoZentrum Nordbayern, Mineralogy, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - D. Jansen
- GeoZentrum Nordbayern, Mineralogy, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - L. Lei
- Department of Chemistry, Technische Universität München, Garching 85748, Germany
| | - R. Li
- Department of Chemistry, Technische Universität München, Garching 85748, Germany
| | - J. Link
- Institute of Building Materials Science, Leibniz Universität Hannover, Hannover 30167, Germany
| | - D. Lowke
- Institute of Building Materials, Concrete Construction and Fire Safety (iBMB), Technische Universität Braunschweig, Braunschweig 38106, Germany
| | - V. Mechtcherine
- Institute of Construction Materials, Technische Universität Dresden, Dresden 01062, Germany
| | - J. Neubauer
- GeoZentrum Nordbayern, Mineralogy, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - D. Nicia
- Institute of Building Materials, Concrete Construction and Fire Safety (iBMB), Technische Universität Braunschweig, Braunschweig 38106, Germany
| | - J. Plank
- Department of Chemistry, Technische Universität München, Garching 85748, Germany
| | - S. Reißig
- Institute of Construction Materials, Technische Universität Dresden, Dresden 01062, Germany
| | - T. Schäfer
- Institute of Geosciences, Applied Geology, Friedrich-Schiller-Universität Jena, Jena 07749, Germany
| | - C. Schilde
- Institute for Particle Technology (iPAT), Technische Universität Braunschweig, Braunschweig 38106, Germany
| | - W. Schmidt
- Bundesanstalt für Materialforschung und -prüfung, Berlin 12205, Germany
| | - C. Schröfl
- Institute of Construction Materials, Technische Universität Dresden, Dresden 01062, Germany
| | - T. Sowoidnich
- F. A. Finger-Institute for Building Material Science, Bauhaus-Universität Weimar, Weimar 99423, Germany
| | - B. Strybny
- Institute of Building Materials Science, Leibniz Universität Hannover, Hannover 30167, Germany
| | - N. Ukrainczyk
- Construction and Building Materials, Technische Universität Darmstadt, Darmstadt 64287, Germany
| | - J. Wolf
- GeoZentrum Nordbayern, Mineralogy, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen 91054, Germany
| | - P. Xiao
- Construction and Building Materials, Technische Universität Darmstadt, Darmstadt 64287, Germany
| | - D. Stephan
- Department of Civil Engineering, Technische Universität Berlin, Berlin 13355, Germany,Corresponding author.
| |
Collapse
|
22
|
Ji J, Li H, Liu C, Chen Y, Li R, Zhang Z. Synthesis, Crystal Structure, and Activity of Cu(II) and Zn(II) Complexes of 2-Mercaptoquinoline N-Oxide. RUSS J GEN CHEM+ 2023. [DOI: 10.1134/s1070363223010243] [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: 03/11/2023]
|
23
|
Liu C, Meng Q, Zu C, Li R, Yang S, He P, Li H, Zhang YY, Zhou C, Liu M, Ye Z, Wu Q, Zhang YJ, Gan X, Qin X. U-shaped association between dietary thiamine intake and new-onset diabetes: a nationwide cohort study. QJM 2022; 115:822-829. [PMID: 35894803 PMCID: PMC9744247 DOI: 10.1093/qjmed/hcac159] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 06/25/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The association between dietary thiamine intake and the risk of diabetes remains unknown. AIM We aimed to evaluate the relation of dietary thiamine intake with new-onset diabetes and examine possible effect modifiers. DESIGN Prospective cohort study. METHODS A total of 16 272 participants who were free of diabetes at baseline were enrolled from China Health and Nutrition Survey (CHNS). Dietary nutrients intake information was collected by 3-day dietary recalls in addition to using a 3-day food-weighed method to assess cooking oil and condiment consumption. New-onset diabetes was defined as a fasting blood glucose ≥7.0 mmol/l or a glycated haemoglobin (HbA1c) ≥6.5% (48 mmol/mol) or diagnosed by a physician during the follow-up. RESULTS During a median follow-up duration of 9.0 years, new-onset diabetes occurred in 1101 participants. Overall, the association between dietary thiamine intake and new-onset diabetes followed a U-shape (P for non-linearity <0.001). Consistently, when thiamine intake was assessed as quartiles, compared with those in the 2-3 quartiles (0.75 to 1.10 mg/day), the significantly higher risks of new-onset diabetes were found in participants in the first quartile [adjusted hazard ratio (HR), 1.33; 95% confidence interval (CI): 1.10, 1.61] and the fourth quartile (adjusted HR, 1.39; 95% CI: 1.17, 1.67). Similar results were found when further adjusting for the intake of other major nutrients or food groups; or using the propensity score weighting to control the imbalance of covariates. CONCLUSION Our results suggested that there was a U-shape association between dietary thiamine intake and new-onset diabetes in general Chinese adults, with a minimal risk at 0.75-1.10 mg/day.
Collapse
Affiliation(s)
- C Liu
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
- Institute of Biomedicine, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
| | - Q Meng
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
- Institute of Biomedicine, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
| | - C Zu
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
- Institute of Biomedicine, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
| | - R Li
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
- Institute of Biomedicine, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei 230032, China
| | - S Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - P He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - H Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - Y Y Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - C Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - M Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - Z Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - Q Wu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - Y J Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - X Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- National Clinical Research Center for Kidney Disease, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, No.1838, North of Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, No.1838, North of Guangzhou Avenue, Guangzhou, Baiyun District, 510515, China
| | - X Qin
- Address correspondence to X. Qin, Institute of Biomedicine, Anhui Medical University, Hefei 230032, China; Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
| |
Collapse
|
24
|
Liu JJ, Xu XX, Sun LJ, Yuan CX, Kaneko K, Sun Y, Liang PF, Wu HY, Shi GZ, Lin CJ, Lee J, Wang SM, Qi C, Li JG, Li HH, Xayavong L, Li ZH, Li PJ, Yang YY, Jian H, Gao YF, Fan R, Zha SX, Dai FC, Zhu HF, Li JH, Chang ZF, Qin SL, Zhang ZZ, Cai BS, Chen RF, Wang JS, Wang DX, Wang K, Duan FF, Lam YH, Ma P, Gao ZH, Hu Q, Bai Z, Ma JB, Wang JG, Wu CG, Luo DW, Jiang Y, Liu Y, Hou DS, Li R, Ma NR, Ma WH, Yu GM, Patel D, Jin SY, Wang YF, Yu YC, Hu LY, Wang X, Zang HL, Wang KL, Ding B, Zhao QQ, Yang L, Wen PW, Yang F, Jia HM, Zhang GL, Pan M, Wang XY, Sun HH, Xu HS, Zhou XH, Zhang YH, Hu ZG, Wang M, Liu ML, Ong HJ, Yang WQ. Observation of a Strongly Isospin-Mixed Doublet in ^{26}Si via β-Delayed Two-Proton Decay of ^{26}P. Phys Rev Lett 2022; 129:242502. [PMID: 36563237 DOI: 10.1103/physrevlett.129.242502] [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: 07/31/2022] [Revised: 10/10/2022] [Accepted: 11/03/2022] [Indexed: 06/17/2023]
Abstract
β decay of proton-rich nuclei plays an important role in exploring isospin mixing. The β decay of ^{26}P at the proton drip line is studied using double-sided silicon strip detectors operating in conjunction with high-purity germanium detectors. The T=2 isobaric analog state (IAS) at 13 055 keV and two new high-lying states at 13 380 and 11 912 keV in ^{26}Si are unambiguously identified through β-delayed two-proton emission (β2p). Angular correlations of two protons emitted from ^{26}Si excited states populated by ^{26}P β decay are measured, which suggests that the two protons are emitted mainly sequentially. We report the first observation of a strongly isospin-mixed doublet that deexcites mainly via two-proton decay. The isospin mixing matrix element between the ^{26}Si IAS and the nearby 13 380-keV state is determined to be 130(21) keV, and this result represents the strongest mixing, highest excitation energy, and largest level spacing of a doublet ever observed in β-decay experiments.
Collapse
Affiliation(s)
- J J Liu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - X X Xu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Physics, The University of Hong Kong, Hong Kong, China
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - L J Sun
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China
- National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan 48824, USA
| | - C X Yuan
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - K Kaneko
- Department of Physics, Kyushu Sangyo University, Fukuoka 813-8503, Japan
| | - Y Sun
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - P F Liang
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - H Y Wu
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - G Z Shi
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - C J Lin
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- College of Physics and Technology & Guangxi Key Laboratory of Nuclear Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - J Lee
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - S M Wang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
- Shanghai Research Center for Theoretical Nuclear Physics, NSFC and Fudan University, Shanghai 200438, China
| | - C Qi
- KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden
| | - J G Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H H Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Latsamy Xayavong
- Department of Physics, Faculty of Natural Sciences, National University of Laos, Vientiane 01080, Laos
| | - Z H Li
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - P J Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y Y Yang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H Jian
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y F Gao
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - R Fan
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - S X Zha
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - F C Dai
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - H F Zhu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J H Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z F Chang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - S L Qin
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z Z Zhang
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - B S Cai
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - R F Chen
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J S Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- College of Science, Huzhou University, Huzhou 313000, China
| | - D X Wang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - K Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - F F Duan
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Y H Lam
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - P Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Z H Gao
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Q Hu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Z Bai
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J B Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J G Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - C G Wu
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - D W Luo
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - Y Jiang
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - Y Liu
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - D S Hou
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - R Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - N R Ma
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - W H Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G M Yu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
| | - D Patel
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Physics, Sardar Vallabhbhai National Institute of Technology, Surat 395007, India
| | - S Y Jin
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Y F Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Physics and Astronomy, Yunnan University, Kunming 650091, China
| | - Y C Yu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Physics and Astronomy, Yunnan University, Kunming 650091, China
| | - L Y Hu
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
| | - X Wang
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - H L Zang
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - K L Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - B Ding
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Q Zhao
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - L Yang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - P W Wen
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - F Yang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - H M Jia
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - G L Zhang
- School of Physics, Beihang University, Beijing 100191, China
| | - M Pan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Physics, Beihang University, Beijing 100191, China
| | - X Y Wang
- School of Physics, Beihang University, Beijing 100191, China
| | - H H Sun
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - H S Xu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - X H Zhou
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - Y H Zhang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - Z G Hu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - M Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - M L Liu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H J Ong
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- RCNP, Osaka University, Osaka 567-0047, Japan
| | - W Q Yang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| |
Collapse
|
25
|
L. Zuo, Zhou S, Liu P, Yang S, Yang J, He X, Gui L, Li R, Yang Y. 106P Zanubrutinib in combination with tislelizumab in patients with refractory diffuse large B cell lymphoma (DLBCL): A phase II study. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
26
|
Zhou S, Zuo L, Yang S, He X, Yang J, Gui L, Li R, Yang Y. 99P Sintilimab plus nab-paclitaxel in platinum-refractory head and neck squamous cell carcinoma: A phase II trial. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
27
|
Romerio F, Li R, Sklutuis R, Groebner J, Kearney M. PP 1.28 – 00156 The HIV-1 antisense RNA Ast promotes viral latency via epigenetic silencing of the proviral 5′LTR and is expressed in latently infected cells from ART-suppressed donors. J Virus Erad 2022. [DOI: 10.1016/j.jve.2022.100132] [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
|
28
|
Bin X, Zhu C, Tang Y, Li R, Ding Q, Xia W, Tang Y, Tang X, Yao D, Tang A. Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma. Clin Oncol (R Coll Radiol) 2022; 34:e482-e492. [PMID: 36008245 DOI: 10.1016/j.clon.2022.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/19/2022] [Accepted: 07/21/2022] [Indexed: 01/31/2023]
Abstract
AIMS To use pre-treatment magnetic resonance imaging-based radiomics data with clinical data to predict radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients with stage T4/N0-3/M0 within 5 years after radiotherapy. MATERIALS AND METHODS This study retrospectively examined 98 patients (198 temporal lobes) with stage T4/N0-3/M0 NPC. Participants were enrolled into a training cohort or a validation cohort in a ratio of 7:3. Radiomics features were extracted from pre-treatment magnetic resonance imaging that were T1-and T2-weighted. Spearman rank correlation, the t-test and the least absolute shrinkage and selection operator (LASSO) algorithm were used to select significant radiomics features; machine-learning models were used to generate radiomics signatures (Rad-Scores). Rad-Scores and clinical factors were integrated into a nomogram for prediction of RTLI. Nomogram discrimination was evaluated using receiver operating characteristic analysis and clinical benefits were evaluated using decision curve analysis. RESULTS Participants were enrolled into a training cohort (n = 139) or a validation cohort (n = 59). In total, 3568 radiomics features were initially extracted from T1-and T2-weighted images. Age, Dmax, D1cc and 16 stable radiomics features (six from T1-weighted and 10 from T2-weighted images) were identified as independent predictive factors. A greater Rad-Score was associated with a greater risk of RTLI. The nomogram showed good discrimination, with a C-index of 0.85 (95% confidence interval 0.79-0.92) in the training cohort and 0.82 (95% confidence interval 0.71-0.92) in the validation cohort. CONCLUSION We developed models for the prediction of RTLI in patients with stage T4/N0-3/M0 NPC using pre-treatment radiomics data and clinical data. Nomograms from these pre-treatment data improved the prediction of RTLI. These results may allow the selection of patients for earlier clinical interventions.
Collapse
Affiliation(s)
- X Bin
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - C Zhu
- Department of Radiation Oncology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Y Tang
- Department of Neurology, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - R Li
- Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University Hangzhou, Zhejiang Province, China; Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Q Ding
- Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China
| | - W Xia
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Y Tang
- Department of Radiology, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - D Yao
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - A Tang
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China.
| |
Collapse
|
29
|
Li R, Wang Z, Xu H, Jiang C, Wang N, Li X, Qiu X, Wang X. Genetic Diversity among Takifugu rubripes and Takifugu obscurus in Different Regions of China Based on Mitochondrial DNA Sequencing Data. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422120079] [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: 12/29/2022]
|
30
|
Wang X, Li R, Niu X. Tislelizumab Rechallenge for Recurrent or Metastatic Nasopharyngeal Carcinoma (RM-NPC) Previously Treated with Another Anti-PD1 Antibody. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1354] [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: 11/25/2022]
|
31
|
Buatti J, Stathakis S, Kirby N, Li R, de Oliveira M, Kabat C, Papanikolaou N, Paragios N. Dose Predictions for Head and Neck Cancers Using Hybrid Structure Sets Containing Manual and Automated Contours. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.881] [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: 11/27/2022]
|
32
|
Patel A, Jain R, Li R, Sim A, Welsh E, Eschrich S, Ahmed K, Grass D. Evaluation of Patient and Tumor Features to Optimize Urothelial Metastasis Treatment. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1131] [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: 11/16/2022]
|
33
|
Huang W, Leng JH, Pei TJ, Li R, Ruan XY, Xu B, Liang XY, Wang GY, Zhou YF, Xu CJ, Zhang XM, Yao SZ, Lu MS, Ma XX, Liu CD, Xue Q, Tang L, Dai Y, Liu Y, Deng S, Guan J, Zhang W, Li L, Ren CC, He YD, Yang XY, Ouyang YW, Zhu HL, Xiao L, Chen G, Lang JH. [Fertility protection and preservation for patients with endometriosis: a Chinese consensus (2022)]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:733-739. [PMID: 36299175 DOI: 10.3760/cma.j.cn112141-20220427-00329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
|
34
|
Li R, Sparveris N, Atac H, Jones MK, Paolone M, Akbar Z, Gayoso CA, Berdnikov V, Biswas D, Boer M, Camsonne A, Chen JP, Diefenthaler M, Duran B, Dutta D, Gaskell D, Hansen O, Hauenstein F, Heinrich N, Henry W, Horn T, Huber GM, Jia S, Joosten S, Karki A, Kay SJD, Kumar V, Li X, Li WB, Liyanage AH, Malace S, Markowitz P, McCaughan M, Meziani ZE, Mkrtchyan H, Morean C, Muhoza M, Narayan A, Pasquini B, Rehfuss M, Sawatzky B, Smith GR, Smith A, Trotta R, Yero C, Zheng X, Zhou J. Measured proton electromagnetic structure deviates from theoretical predictions. Nature 2022; 611:265-270. [PMID: 36261531 DOI: 10.1038/s41586-022-05248-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 08/17/2022] [Indexed: 11/09/2022]
Abstract
The visible world is founded on the proton, the only composite building block of matter that is stable in nature. Consequently, understanding the formation of matter relies on explaining the dynamics and the properties of the proton's bound state. A fundamental property of the proton involves the response of the system to an external electromagnetic field. It is characterized by the electromagnetic polarizabilities1 that describe how easily the charge and magnetization distributions inside the system are distorted by the electromagnetic field. Moreover, the generalized polarizabilities2 map out the resulting deformation of the densities in a proton subject to an electromagnetic field. They disclose essential information about the underlying system dynamics and provide a key for decoding the proton structure in terms of the theory of the strong interaction that binds its elementary quark and gluon constituents. Of particular interest is a puzzle in the electric generalized polarizability of the proton that remains unresolved for two decades2. Here we report measurements of the proton's electromagnetic generalized polarizabilities at low four-momentum transfer squared. We show evidence of an anomaly to the behaviour of the proton's electric generalized polarizability that contradicts the predictions of nuclear theory and derive its signature in the spatial distribution of the induced polarization in the proton. The reported measurements suggest the presence of a new, not-yet-understood dynamical mechanism in the proton and present notable challenges to the nuclear theory.
Collapse
Affiliation(s)
- R Li
- Temple University, Philadelphia, PA, USA
| | | | - H Atac
- Temple University, Philadelphia, PA, USA
| | - M K Jones
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - M Paolone
- New Mexico State University, Las Cruces, NM, USA
| | - Z Akbar
- University of Virginia, Charlottesville, VA, USA
| | | | - V Berdnikov
- Catholic University of America, Washington, DC, USA
| | - D Biswas
- Hampton University, Hampton, VA, USA.,Virginia Polytechnic Institute & State University, Blacksburg, VA, USA
| | - M Boer
- Temple University, Philadelphia, PA, USA.,Virginia Polytechnic Institute & State University, Blacksburg, VA, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - M Diefenthaler
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - B Duran
- Temple University, Philadelphia, PA, USA
| | - D Dutta
- Mississippi State University, Mississippi State, MS, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | | | - N Heinrich
- University of Regina, Regina, Saskatchewan, Canada
| | - W Henry
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - T Horn
- Catholic University of America, Washington, DC, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan, Canada
| | - S Jia
- Temple University, Philadelphia, PA, USA
| | - S Joosten
- Argonne National Laboratory, Lemont, IL, USA
| | - A Karki
- Mississippi State University, Mississippi State, MS, USA
| | - S J D Kay
- University of Regina, Regina, Saskatchewan, Canada
| | - V Kumar
- University of Regina, Regina, Saskatchewan, Canada
| | - X Li
- Duke University, Durham, NC, USA
| | - W B Li
- The College of William and Mary, Williamsburg, VA, USA
| | | | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - P Markowitz
- Florida International University, University Park, FL, USA
| | - M McCaughan
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - Z-E Meziani
- Argonne National Laboratory, Lemont, IL, USA
| | - H Mkrtchyan
- Artem Alikhanian National Laboratory, Yerevan, Armenia
| | - C Morean
- University of Tennessee, Knoxville, TN, USA
| | - M Muhoza
- Catholic University of America, Washington, DC, USA
| | - A Narayan
- Veer Kunwar Singh University, Arrah, India
| | - B Pasquini
- University of Pavia, Pavia, Italy.,Istituto Nazionale di Fisica Nucleare (INFN), Pavia, Italy
| | - M Rehfuss
- Temple University, Philadelphia, PA, USA
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
| | - A Smith
- Duke University, Durham, NC, USA
| | - R Trotta
- Catholic University of America, Washington, DC, USA
| | - C Yero
- Florida International University, University Park, FL, USA
| | - X Zheng
- University of Virginia, Charlottesville, VA, USA
| | - J Zhou
- Duke University, Durham, NC, USA
| |
Collapse
|
35
|
Xiu W, Li R, Chen Q, Zivkovic V, Yang H. The significance of the trapped kink in granular segregation pattern formation. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.118053] [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: 11/05/2022]
|
36
|
Ma XW, Yin JW, Yang R, Yang S, Li J, Wang Y, Li R. [Clinical characteristics of severe late-onset ovarian hyperstimulation syndrome and its impact on the live birth outcome of IVF-ET]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:678-685. [PMID: 36177579 DOI: 10.3760/cma.j.cn112141-20220501-00287] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the correlation between different clinical features and live birth in patients with severe late-onset ovarian hyperstimulation syndrome (OHSS) after in vitro fertilization-embryo transfer (IVF-ET). Methods: The clinical information of 330 patients who were pregnant after IVF-ET and referred to medical treatments diagnosed as late-onset severe OHSS in Peking University Third Hospital from January 2016 to December 2020 was retrospectively analyzed. The patients were divided into live birth achieved group (n=287) and non-live birth achieved group (n=43) according to pregnancy outcomes, and live birth achieved group was further divided into two subgroups, full-term birth group (n=222) and early-term birth group (n=65) according to gestational week at delivery for better analysis. Single factor and multi-factor analysis were utilized to clarify the influencing factors of both live birth and early-term birth. Results: Among all the patients who received IVF-ET, the incidence of severe OHSS was 0.67% (673/100 758). Among 330 severe late-onset OHSS patients, 42.4% (140/330) had pleural effusion, the incidence of abnormal liver function was 69.4% (229/330), and the live birth rate was 87.0% (287/330). Among the 287 patients who achieved live birth, 55.4% (159/287) had no pleural effusion, 18.5% (53/287) had a small amount of pleural effusion, and 26.1% (75/287) had medium or massive pleural effusion; in the non-live birth achieved group, there were more patients without pleural effusion and less patients with a small amount of pleural effusion; the difference was statistically significant (χ2=6.213, P=0.045). The rate of selective fetal reduction in live birth achieved group was 16.0% (46/287), which was significantly higher than that in the non-live birth achieved group, which was 2.3% (1/43; χ2=5.749, P=0.017). Multivariate logistic regression analysis revealed that moderately abnormal liver function was an independent risk factor for live birth (OR=3.15, 95%CI: 1.60-6.19), while selective fetal reduction was an independent protective factor for live birth (OR=0.13, 95%CI: 0.02-0.96). Additionally, subgroup analysis suggested that twin birth was an independent risk factor for preterm birth (OR=8.54, 95%CI: 4.31-16.91). Conclusions: Moderate hepatic dysfunction may be associated with adverse pregnancy outcomes in patients with severe late-onset OHSS. Selective fetal reduction and singleton pregnancy are recommended to ameliorate live birth rate, full-term delivery rate, also the maternal and neonatal prognosis for patients with multiple pregnancies.
Collapse
Affiliation(s)
- X W Ma
- Department of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China
| | - J W Yin
- Department of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China
| | - R Yang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China
| | - S Yang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China
| | - J Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China
| | - Y Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China
| | - R Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China
| |
Collapse
|
37
|
She Q, Zhen L, Fu F, Lei TY, Li LS, Li R, Wang D, Zhang YL, Jing XY, Yi CX, Zhong HZ, Tan WH, Li FG, Liao C. [Prenatal genetic diagnosis of the fetuses with isolated corpus callosum abnormality]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:671-677. [PMID: 36177578 DOI: 10.3760/cma.j.cn112141-20220428-00281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To explore the application value of chromosome karyotype analysis, chromosomal microarray analysis (CMA) and whole exome sequencing (WES) in prenatal diagnosis of isolated corpus callosum abnormality (CCA) fetus. Methods: Fetuses diagnosed with isolated CCA by ultrasound and MRI and receiving invasive prenatal diagnosis in Guangzhou Women and Children's Medical Center and Qingyuan People's Hospital from January 2010 to April 2021 were selected. Karyotype analysis and/or CMA [or copy number variation sequencing (CNV-seq)] were performed on all fetal samples, and WES was performed on fetal samples and their parents whose karyotype analysis and/or CMA (or CNV-seq) results were not abnormal. Results: Among 65 fetuses with isolated CCA, 38 cases underwent karyotype analysis, and 3 cases were detected with abnormal karyotypes, with a detection rate of 8% (3/38). A total of 49 fetuses with isolated CCA underwent CMA (or CNV-seq) detection, and 6 cases of pathogenic CNV were detected, the detection rate was 12% (6/49). Among them, the karyotype analysis results were abnormal, and the detection rate of further CMA detection was 1/1. The karyotype results were normal, and the detection rate of further CMA (or CNV-seq) detection was 14% (3/21). The detection rate of CMA as the first-line detection technique was 7% (2/27). A total of 25 fetuses with isolated CCA with negative results of karyotyping and/or CMA were tested by WES, and 9 cases (36%, 9/25) were detected with pathogenic genes. The gradient genetic diagnosis of chromosomal karyotyping, CMA and WES resulted in a definite genetic diagnosis of 26% (17/65) of isolated CCA fetuses. Conclusions: Prenatal genetic diagnosis of isolated CCA fetuses is of great clinical significance. The detection rate of CMA is higher than that of traditional karyotyping. CMA detection could be used as a first-line detection technique for fetuses with isolated CCA. WES could increase the pathogenicity detection rate of fetuses with isolated CCA when karyotype analysis and/or CMA test results are negative.
Collapse
|