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Wei H, Cui X, Yang H, Si F, Zhang Y. Combining WO3@AuNPs with Poly(amidoamine) Allows Sensitive Electrochemical Detection of DR1 Based on Dual Signal Amplification. Chempluschem 2024:e202400119. [PMID: 38619207 DOI: 10.1002/cplu.202400119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 04/04/2024] [Accepted: 04/15/2024] [Indexed: 04/16/2024]
Abstract
Down-regulator of transcription 1 (DR1) is considered as a biomarker of hashimoto's thyroiditis (HT), which is a risk factor for thyroid cancer. Here, a label-free electrochemical biosensor for DR1 detection was constructed based on polyamidoamine (PAMAM) polymer and the nanocomposite (WO3@AuNPs) composed of tungsten trioxide (WO3) and gold nanoparticles (AuNPs). WO3@AuNPs was obtained by combining monolayer WO3 nanosheets, which has high conductivity, and AuNPs. The modification of WO3@AuNPs can not only increase the conductivity of the electrode but also provide more active sites for signaling units, thus greatly improve the sensitivity of the sensor. The polymer PAMAM is biocompatible and non-immunogenic, and its end functional group can bind to the target molecules, providing them with more binding sites and thus improving the sensitivity of the sensor. Under optimal conditions, the label-free biosensor showed a good linear relationship between the logarithm of DR1 concentration and the impedance in the range of 10 fg·mL-1 to 100 ng·mL-1, with a detection limit as low as 0.3 fg·mL-1. Besides, this label-free electrochemical platform exhibited satisfactory selectivity and anti-interference capability in human serum samples. Therefore, this method has considerable potential in clinical detection of DR1.
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Affiliation(s)
- Haiyan Wei
- Henan University of Chinese Medicine, Pharmacy College, CHINA
| | - Xiaojing Cui
- Henan University of Chinese Medicine, Pharmacy College, CHINA
| | - Huaixia Yang
- Henan University of Chinese Medicine, Pharmacy College, Zhengzhou, 450046, Zhengzhou, CHINA
| | - Fuchun Si
- Henan University of Chinese Medicine, Academy of Chinese Medical Sciences, CHINA
| | - Yaping Zhang
- Henan University of Chinese Medicine, Pharmacy College, CHINA
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Li Y, Liu Y, Chen Y, Yao C, Yu S, Qu J, Chen G, Wei H. Combined effects of polystyrene nanoplastics and lipopolysaccharide on testosterone biosynthesis and inflammation in mouse testis. Ecotoxicol Environ Saf 2024; 273:116180. [PMID: 38458071 DOI: 10.1016/j.ecoenv.2024.116180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 03/10/2024]
Abstract
Microplastics (MPs)/nanoplastics (NPs), as a source and vector of pathogenic bacteria, are widely distributed in the natural environments. Here, we investigated the combined effects of polystyrene NPs (PS-NPs) and lipopolysaccharides (LPS) on testicular function in mice for the first time. 24 male mice were randomly assigned into 4 groups, control, PS-NPs, LPS, and PS-NPs + LPS, respectively. Histological alterations of the testes were observed in mice exposed to PS-NPs, LPS or PS-NPs + LPS. Total sperm count, the levels of testosterone in plasma and testes, the expression levels of steroidogenic acute regulatory (StAR) decreased more remarkable in testes of mice treated with PS-NPs and LPS than the treatment with LPS or PS-NPs alone. Compared with PS-NPs treatment, LPS treatment induced more sever inflammatory response in testes of mice. Moreover, PS-NPs combined with LPS treatment increased the expression of these inflammatory factors more significantly than LPS treatment alone. In addition, PS-NPs or LPS treatment induced oxidative stress in testes of mice, but their combined effect is not significantly different from LPS treatment alone. These results suggest that PS-NPs exacerbate LPS-induced testicular dysfunction. Our results provide new evidence for the threats to male reproductive function induced by both NPs and bacterial infection in human health.
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Affiliation(s)
- Yanli Li
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu 226019, China
| | - Yingqi Liu
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu 226019, China; Wujiang Center for Disease Control and Prevention, Suzhou, Jiangsu 215299, China
| | - Yanhong Chen
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu 226019, China
| | - Chenjuan Yao
- Department of Molecular Oral Physiology, Institute of Health Biosciences, University of Tokushima Graduate School, Tokushima-Shi, Tokushima 770-8504, Japan
| | - Shali Yu
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu 226019, China
| | - Jianhua Qu
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu 226019, China
| | - Gang Chen
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu 226019, China.
| | - Haiyan Wei
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu 226019, China.
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Wu X, Li Y, Chen Q, Wu S, Su C, Li D, Chen Y, Wei H. [Clinical features and genetic analysis of three children with β-ketothiolase deficiency]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2024; 41:289-293. [PMID: 38448016 DOI: 10.3760/cma.j.cn511374-20221109-00775] [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: 03/08/2024]
Abstract
OBJECTIVE To explore the clinical features and genetic variants in three children suspected for β-ketothiolase deficiency (BKTD). METHODS Clinical manifestations, laboratory examination and genetic testing of three children suspected for BKTD at Henan Children's Hospital between January 2018 and October 2022 were collected, and their clinical and genetic variants were retrospectively analyzed. RESULTS The children were all males with a age from 7 to 11 months. Their clinical manifestations have included poor spirit, shortness of breath, vomiting, convulsions after traumatic stress and/or infection. All of them had severe metabolic acidosis, elevated ketone bodies in blood and urine, hypoglycemia, with increased isoprenyl-carnitine and 3-hydroxyisovalyl-carnitine in the blood, and 2-methyl-3-hydroxybutyrate and methylprotaroyl glycine in the urine. All of them were found to harbor compound heterozygous variants of the ACAT1 gene, including c.1183G>T and a large fragment deletion (11q22.3-11q23.1) in child 1, c.121-3C>G and c.826+5_826+9delGTGTT in child 2, and c.928G>C and c.1142T>C in child 3. The variants harbored by children 2 and 3 were known to be pathogenic or likely pathogenic. The heterozygous c.1183G>T variant in child 1 was unreported previously and rated as a variant of unknown significance (PM2_Supporting+PP3+PP4) based on guidelines from the American College of Medical Genetics and Genomics. The large segment deletion in 11q22.3-11q23.1 has not been included in the DGV Database and was rated as a pathogenic copy number variation. CONCLUSION The variants of the ACAT1 gene probably underlay the pathogenesis of BKTD in these three children.
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Affiliation(s)
- Xue Wu
- Department of Endocrinology and Inborn Error of Genetic Metabolism, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, Henan 450053, China.
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Ye RH, Zhang YQ, Cao DD, Shi Y, Xiao GF, Li PY, Xu YW, Wei H, Sun JT, Yang YC, Tang RH, Wang JB, He N, Ding YY, Duan S. [Incidence of diabetes and influencing factors in HIV-infected individuals after antiretroviral therapy in Dehong Dai and Jingpo Autonomous Prefecture]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:358-364. [PMID: 38514312 DOI: 10.3760/cma.j.cn112338-20230817-00075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To understand the incidence of diabetes and influencing factors, the trend of FPG change and risk for mortality in HIV-infected individuals after antiretroviral therapy (ART) in Dehong Dai and Jingpo Autonomous Prefecture (Dehong). Methods: The HIV/AIDS treatment database was collected from China Information System for Disease Control and Prevention. This retrospective cohort study was conducted in HIV-infected individuals with access to ART in Dehong during 2004-2020.The Cox proportional hazard regression model was used to analyze the incidence density of diabetes, the influencing factors and risk for mortality in HIV-infected individuals with access to ART, mixed linear effects model was used to analyze the trend of FPG change and predict FPG in those with different glucose metabolic status at baseline survey. Statistical analysis was performed using software SAS 9.4. Results: A total of 8 763 HIV-infected individuals were included, in whom 8 432 (96.2%) had no diabetes, 331 had diabetes. The incidence density of diabetes was 2.31/1 000 person years. Multivariate Cox proportional hazard regression analysis revealed that 30- 59 years old, BMI ≥24.0 kg/m2, Efavirenz (EFV) based initial treatment regimen and impaired fasting glucose (IFG) at baseline survey were significantly and positively associated with incidence of diabetes. Mixed effect model revealed that FPG was positively correlated with the duration of ART, age and baseline FPG. Suffering from diabetes was a risk factor for mortality in HIV-infected individuals both at baseline survey and during follow-up. Conclusions: The risk for diabetes increased in HIV-infected individuals who were 30-59 years old, baseline BMI ≥24.0 kg/m2, received EFV based initial treatment, and IFG in HIV-infected individuals after antiretroviral therapy in Dehong, 2004-2020. It is important to pay close attention to their blood glucose, and patients with high blood glucose should receive treatment as early as possible.
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Affiliation(s)
- R H Ye
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - Y Q Zhang
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - D D Cao
- Dehong Dai and Jingpo Autonomous Prefecture People's Hospital, Mangshi 678400, China
| | - Y Shi
- Mangshi People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Mangshi 678400, China
| | - G F Xiao
- Dehong Dai and Jingpo Autonomous Prefecture Hospital of Traditional Chinese Medicine, Mangshi 678400, China
| | - P Y Li
- Ruili City People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Ruili 678600, China
| | - Y W Xu
- Longchuan County People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Longchuan 678700, China
| | - H Wei
- Yingjiang County People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Yingjiang 679300, China
| | - J T Sun
- Lianghe County People's Hospital of Dehong Dai and Jingpo Autonomous Prefecture, Lianghe 679200, China
| | - Y C Yang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - R H Tang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - J B Wang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - N He
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y Y Ding
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - S Duan
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
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Hu P, Zhang Y, Wei H, Zhang W, Song L, Zhang M, Meng X, Shang M, Wang C. Point-of-Use SERS Approach for Efficient Determination and Removal of Phthalic Acid Esters Based on a Metal-Organic Framework-Coated Melamine Sponge. ACS Appl Mater Interfaces 2024; 16:11528-11536. [PMID: 38386864 DOI: 10.1021/acsami.3c17729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Phthalic acid esters (PAEs) are ubiquitous environmental contaminants, and their real-time monitoring and removal remain challenging. Herein, a point-of-use (POU) device integrating adsorption, surface-enhanced Raman spectroscopy (SERS), and removal strategy was developed and realized ultrafast on-site determination of PAEs and cleanup of them from water. A piece of flexible melamine sponge (MS) was coated with gold nanostars (AuNSs) and metal-organic frameworks (MOFs), thus obtaining SERS activity and adsorption capacity. Based on this multifunctional AuNSs@MOFs/MS composite, clear trends were observed between SERS signal intensity and concentration of di(2-ethylhexyl)phthalate (DEHP) and dibutyl phthalate (DBP). The method detection limits of DEHP and DBP were calculated to be 0.75 × 10-7 and 0.67 × 10-7 M in water, respectively, proving good sensitivity. Furthermore, this POU device exhibited satisfactory adsorption capacity (∼82.3 g/g for DBP and ∼90.0 g/g for DEHP), high adsorption efficiency (equilibrium in 100 s), and good regeneration capability (removal efficiency >70% after 5 cycles). The applicability of this device was verified by its good determination and removal performance in real environmental water matrices. The whole process could be completed within 5 min. This approach provides a new POU alternative for real-time monitoring and removal of PAEs in water.
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Affiliation(s)
- Peishan Hu
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
| | - Yuxuan Zhang
- The First Clinical Medical College, Nanjing Medical University, Nanjing 211166, China
| | - Haiyan Wei
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
| | - Wei Zhang
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
| | - Liqun Song
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
| | - Mengping Zhang
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
| | - Xiao Meng
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
| | - Ming Shang
- Shandong Provincial Key Laboratory of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
| | - Cuijuan Wang
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, China
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Ma Z, Zhu Y, Wang Z, Chen X, Cao J, Liu G, Li G, Wei H, Zhang H. Effect of starch and protein on eating quality of japonica rice in Yangtze River Delta. Int J Biol Macromol 2024; 261:129918. [PMID: 38309388 DOI: 10.1016/j.ijbiomac.2024.129918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/16/2024] [Accepted: 01/31/2024] [Indexed: 02/05/2024]
Abstract
This study examined four types of japonica rice from Yangtze River Delta, categorized based on amylose content (AC) and protein content (PC): high AC with high PC, high AC with low PC, low AC with high PC, and low AC with low PC. It systematically explored the effect of starch, protein and their interactions on eating quality of japonica rice. Rheological analysis revealed that increased amylose, long chains amylopectin or protein levels during cooking strengthen starch-protein interactions (hydrogen bonding), forming a firm gel network. Scanning electron microscopy showed that increased amylose, long chains amylopectin or protein levels made protein and starch more stable in combination during cooking, limiting starch structure cleavage. Therefore, the eating quality of high AC in similar PC japonica rice and high PC in similar AC japonica rice were poor. Further, correlation and random-forest analysis (RFA) identified amylose as the most influential factor in starch-protein interactions affecting rice eating quality, followed by amylopectin and protein. RFA also revealed that in high AC japonica rice, the interactions of Fb3 and albumin with amylose were more conducive to forming good eating quality. In low AC japonica rice, the interactions of Fb2 and prolamin with amylose were more beneficial.
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Affiliation(s)
- Zhongtao Ma
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Ying Zhu
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Zhijie Wang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Xi Chen
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Jiale Cao
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Guodong Liu
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Guangyan Li
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Haiyan Wei
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China.
| | - Hongcheng Zhang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
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Wang X, Cun J, Li S, Shi Y, Liu Y, Wei H, Zhang Y, Cong R, Yang T, Wang W, Xiao J, Song Y, Yan D, Yang Q, Sun Q, Ji T. Genotype F of Echovirus 25 with multiple recombination pattern have been persistently and extensively circulating in Chinese mainland. Sci Rep 2024; 14:3212. [PMID: 38332009 PMCID: PMC10853551 DOI: 10.1038/s41598-024-53513-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/01/2024] [Indexed: 02/10/2024] Open
Abstract
Echovirus 25 (E25), a member of the Enterovirus B (EV-B) species, can cause aseptic meningitis (AM), viral meningitis (VM), and acute flaccid paralysis (AFP). However, systematic studies on the molecular epidemiology of E25, especially those concerning its evolution and recombination, are lacking. In this study, 18 strains of E25, isolated from seven provinces of China between 2009 and 2018, were collected based on the Chinese hand, foot, and mouth disease (HFMD) surveillance network, and 95 sequences downloaded from GenBank were also screened. Based on the phylogenetic analysis of 113 full-length VP1 sequences worldwide, globally occurring E25 strains were classified into 9 genotypes (A-I), and genotype F was the dominant genotype in the Chinese mainland. The average nucleotide substitution rate of E25 was 6.08 × 10-3 substitutions/site/year, and six important transmission routes were identified worldwide. Seventeen recombination patterns were determined, of which genotype F can be divided into 9 recombination patterns. A positive selector site was found in the capsid protein region of genotype F. Recombination analysis and pressure selection analysis for genotype F showed multiple recombination patterns and evolution characteristics, which may be responsible for it being the dominant genotype in the Chinese mainland. This study provides a theoretical basis for the subsequent prevention and control of E25.
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Affiliation(s)
- Xiaoyi Wang
- Medical School, Anhui University of Science and Technology, Huainan, 232001, China
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Jianping Cun
- Yunnan Center for Disease Control and Prevention, Kunming, 650100, China
| | - Shikang Li
- Hunan Center for Disease Control and Prevention, Changsha, 410005, China
| | - Yong Shi
- Jiangxi Center for Disease Control and Prevention, Nanchang, 330006, China
| | - Yingying Liu
- Hebei Center for Disease Control and Prevention, Shijiazhuang, 050000, China
| | - Haiyan Wei
- Henan Center for Disease Control and Prevention, Zhengzhou, 450000, China
| | - Yong Zhang
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Ruyi Cong
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Shandong First Medical University (Shandong Academy of Medical Sciences) School of Public Health and Health Management, Jinan, 250117, China
| | - Tingting Yang
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Shandong First Medical University (Shandong Academy of Medical Sciences) School of Public Health and Health Management, Jinan, 250117, China
| | - Wenhui Wang
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Shandong First Medical University (Shandong Academy of Medical Sciences) School of Public Health and Health Management, Jinan, 250117, China
| | - Jinbo Xiao
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yang Song
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Dongmei Yan
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qian Yang
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qiang Sun
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Tianjiao Ji
- WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosafety, National Health Commission Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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Yuan S, Lin Y, Zhao Y, Du M, Dong S, Chen Y, Wei H. Pineal cysts may promote pubertal development in girls with central precocious puberty: a single-center study from China. Front Endocrinol (Lausanne) 2024; 15:1323947. [PMID: 38405141 PMCID: PMC10885350 DOI: 10.3389/fendo.2024.1323947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/17/2024] [Indexed: 02/27/2024] Open
Abstract
Introduction Pineal cysts have long been considered a benign intracranial variation. However, in our clinical practice, it has been observed that some children with central precocious puberty (CPP) who have pineal cysts experience rapid progression in adolescent development. In recent years, there has been a significant increase in the prevalence of CPP in girls, leading to more diagnoses of CPP among children with pineal cysts. Despite this, there is no consensus regarding whether pineal cysts contribute to CPP as one of its organic factors. This study aimed to analyze the clinical characteristics of pineal cysts in children with CPP and explore the potential effects of pineal cysts on puberty development. Methods This single-center study retrospectively analyzed clinical data from girls aged 3 to 10 years who underwent head/pituitary magnetic resonance imaging at the Children's Hospital Affiliated to Zhengzhou University between 2019 and 2022. The study categorized the detection rates of pineal cysts based on systematic disease classification and compared the rates of cyst detection between girls diagnosed with CPP and those without CPP. Subsequently, CPP-diagnosed girls with pineal cysts were examined. Among CPP-diagnosed girls meeting the study's criteria, those with pineal cysts formed the 'cyst group,' while those without cysts were matched in a 1:1 ratio based on age and body mass index to form the 'non-cyst group.' Comparative analyses were conducted to assess the clinical characteristics between these two groups. CPP-diagnosed girls with cysts were further subdivided into three groups according to cyst size (≤5 mm, 5.1-9.9 mm, and ≥10 mm) to investigate potential differences in clinical characteristics among these subgroups. The study involved an analysis of clinical data from girls diagnosed with CPP and included imaging follow-ups to explore the progression of pineal cysts over time. Results Among the 23,245 girls who underwent head/pituitary magnetic resonance imaging scans, the detection rate of pineal cysts was 3.6% (837/23,245), with most cases being associated with endocrine diseases. The detection rate of pineal cysts in CPP patients was 6.4% (262/4099), which was significantly higher than the 3.0% (575/19,146) in patients without CPP. In comparison to the non-cyst group, the cyst group exhibited statistically significant increases in estradiol levels, peak luteinizing hormone (LH) levels, peak LH/follicle-stimulating hormone (FSH) ratios, uterine body length, and cervix length (P < 0.001). As cyst size increased, there were significant rises in LH peak, peak LH/FSH ratio, uterine body length, and cervical length (P < 0.01). Estradiol levels and left ovarian volume also showed an increasing trend (P < 0.05). Among girls who underwent follow-up imaging, 26.3% (5/19) exhibited an increase in cyst size. Conclusion Pineal cysts are relatively common in children with CPP. They may affect the pubertal development process, with larger cysts correlating to faster pubertal development. Therefore, the authors hypothesize that pineal cysts may trigger CPP in some cases, especially when the cysts are larger than 5 mm in size, as indicated by our data.
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Affiliation(s)
- Shuxian Yuan
- Department of Endocrinology and Inborn Error of Metabolism, Children’s Hospital Affiliated to Zhengzhou University, Beijing Children's Hospital Zhengzhou Hospital, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Tianjian Laboratory of Advanced Biological Sciences, Zhengzhou, China
| | - Yifan Lin
- Department of Endocrinology and Inborn Error of Metabolism, Children’s Hospital Affiliated to Zhengzhou University, Beijing Children's Hospital Zhengzhou Hospital, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Tianjian Laboratory of Advanced Biological Sciences, Zhengzhou, China
| | - Yixuan Zhao
- Department of Endocrinology and Inborn Error of Metabolism, Children’s Hospital Affiliated to Zhengzhou University, Beijing Children's Hospital Zhengzhou Hospital, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Tianjian Laboratory of Advanced Biological Sciences, Zhengzhou, China
| | - Mengmeng Du
- Department of Endocrinology and Inborn Error of Metabolism, Children’s Hospital Affiliated to Zhengzhou University, Beijing Children's Hospital Zhengzhou Hospital, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Tianjian Laboratory of Advanced Biological Sciences, Zhengzhou, China
| | - Shijie Dong
- Department of Imaging and Nuclear Medicine, Children’s Hospital Affiliated to Zhengzhou University, Beijing Children's Hospital Zhengzhou Hospital, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Zhengzhou, China
| | - Yongxing Chen
- Department of Endocrinology and Inborn Error of Metabolism, Children’s Hospital Affiliated to Zhengzhou University, Beijing Children's Hospital Zhengzhou Hospital, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Tianjian Laboratory of Advanced Biological Sciences, Zhengzhou, China
| | - Haiyan Wei
- Department of Endocrinology and Inborn Error of Metabolism, Children’s Hospital Affiliated to Zhengzhou University, Beijing Children's Hospital Zhengzhou Hospital, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Tianjian Laboratory of Advanced Biological Sciences, Zhengzhou, China
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Huang J, Liu K, Tian J, Wei H, Kan C. A rhodamine NIR probe for naked eye detection of mercury ions and its application. Spectrochim Acta A Mol Biomol Spectrosc 2024; 306:123553. [PMID: 37898057 DOI: 10.1016/j.saa.2023.123553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/26/2023] [Accepted: 10/16/2023] [Indexed: 10/30/2023]
Abstract
Fluorescence imaging technology has developed rapidly with its advantages, and near-infrared probes are worthy of attention because of their less background interference, low light damage, and infinite potential. Rhodamine and its derivatives have the unique structure of lactam helices, which is an ideal platform for the construction of on-off fluorescent sensors. In this paper, a novel near-infrared fluorescent probe (RBLS) based on rhodamine derivatives was synthesized for the transient detection of mercury ions. The closed-on structure can realize reversible sensor recovery by adding S2-. The superior imaging capability in living cells and in vivo in zebrafish holds promise for biological applications. In addition, the naked eye test strips prepared with RBLS probes can be used to detect and screen Hg2+ in the environment and show good gradient change performance.
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Affiliation(s)
- Jie Huang
- Department of Chemistry and Material Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, PR China
| | - Kaiyue Liu
- Department of Chemistry and Material Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, PR China
| | - Jiaxin Tian
- Department of Chemistry and Material Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, PR China
| | - Haiyan Wei
- Department of Chemistry and Material Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, PR China
| | - Chun Kan
- Department of Chemistry and Material Science, College of Science, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, PR China.
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10
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Zhang T, Liang X, Wei H, Lin M, Chen J. [Single - nucleotide polymorphisms of artemisinin resistance - related Pfubp1 and Pfap2mu genes in Bioko Island, Equatorial Guinea from 2018 to 2020]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:557-564. [PMID: 38413016 DOI: 10.16250/j.32.1374.2023180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
OBJECTIVE To investigate the prevalence of single nucleotide polymorphisms (SNPs) of artemisinin resistance-related Pfubp1 and Pfap2mu genes in Plasmodium falciparum isolates from Bioko Island, Equatorial Guinea, so as to to provide baseline data for the formulation of malaria control strategies in Bioko Island. METHODS A total of 184 clinical blood samples were collected from patients with P. falciparum malaria in Bioko Island, Equatorial Guinea from 2018 to 2020, and genomic DNA was extracted. The Pfubp1 and Pfap2mu gene SNPs of P. falciparum were determined using a nested PCR assay and Sanger sequencing, and the gene sequences were aligned. RESULTS There were 159 wild-type P. falciparum isolates (88.83%) from Bioko Island, Equatorial Guinea, and 6 SNPs were identified in 20 Pfubp1-mutant P. falciparum isolates (11.17%), in which 4 non-synonymous mutations were detected, including E1516G, K1520E, D1525E, E1528D. There was only one Pfubp1gene mutation site in 19 Pfubp1-mutant P. falciparum isolates (95.00%), in which non-synonymous mutations accounted for 68.42% (13/19). D1525E and E1528D were identified as major known epidemic mutation sites in the Pfubp1 gene associated with resistance to artemisinin-based combination therapies (ACTs). At amino acid position 1525, there were 178 wild-type P. falciparum isolates (99.44%) and 1 mutant isolate (0.56%), with such a mutation site identified in blood samples in 2018, and at amino acid position 1528, there were 167 wild-type P. falciparum isolates (93.30%) and 12 mutant isolates (6.70%). The proportions of wild-type P. falciparum isolates were 95.72% (134/140), 79.25% (126/159) and 95.83% (161/168) in the target amplification fragments of the three regions in the Pfap2mu gene (Pfap2mu-inner1, Pfap2mu-inner2, Pfap2mu-inner3), respectively. There were 16 different SNPs identified in all successfully sequenced P. falciparum isolates, in which 7 non-synonymous mutations were detected, including S160N, K199T, A475V, S508G, I511M, L595F, and Y603H. There were 7 out of 43 Pfap2mu-mutant P. falciparum isolates (16.28%) that harbored only one gene mutation site, in which non-synonymous mutations accounted for 28.57% (2/7). For the known delayed clearance locus S160N associated with ACTs, there were 143 wild-type (89.94%) and 16 Pfap2mu-mutant P. falciparum isolates (10.06%). CONCLUSIONS Both Pfubp1 and Pfap2mu gene mutations were detected in P. falciparum isolates from Bioko Island, Equatorial Guinea from 2018 to 2020, with a low prevalence rate of Pfubp1 gene mutation and a high prevalence rate of Pfap2mu gene mutation. In addition, new mutation sites were identified in the Pfubp1 (E1504E and K1520E) and Pfap2mu genes (A475V and S508G).
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Affiliation(s)
- T Zhang
- Guangdong Medical University, Zhanjiang, Guangdong 524023, China
| | - X Liang
- Huizhou Central Hospital Affiliated to Guangdong Medical University, Huizhou, Guangdong 516001, China
| | - H Wei
- Chaozhou People's Hospital Affiliated to Shantou University, Chaozhou, Guangdong 521000, China
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - M Lin
- Chaozhou People's Hospital Affiliated to Shantou University, Chaozhou, Guangdong 521000, China
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - J Chen
- Guangdong Medical University, Zhanjiang, Guangdong 524023, China
- Huizhou Central Hospital Affiliated to Guangdong Medical University, Huizhou, Guangdong 516001, China
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11
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Abratenko P, Alterkait O, Andrade Aldana D, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow D, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Brunetti MB, Camilleri L, Cao Y, Caratelli D, Cavanna F, Cerati G, Chappell A, Chen Y, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Cross R, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Englezos P, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Franco D, Furmanski AP, Gao F, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Imani Z, Irwin B, Ismail M, James C, Ji X, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Liu H, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Martynenko S, Mastbaum A, Mawby I, McConkey N, Meddage V, Micallef J, Miller K, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Moudgalya MM, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Pophale I, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Safa I, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, St John J, Strauss T, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. Search for Heavy Neutral Leptons in Electron-Positron and Neutral-Pion Final States with the MicroBooNE Detector. Phys Rev Lett 2024; 132:041801. [PMID: 38335355 DOI: 10.1103/physrevlett.132.041801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 11/30/2023] [Indexed: 02/12/2024]
Abstract
We present the first search for heavy neutral leptons (HNLs) decaying into νe^{+}e^{-} or νπ^{0} final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI neutrino beam from Fermilab's main injector corresponding to a total exposure of 7.01×10^{20} protons on target. We set upper limits at the 90% confidence level on the mixing parameter |U_{μ4}|^{2} in the mass ranges 10≤m_{HNL}≤150 MeV for the νe^{+}e^{-} channel and 150≤m_{HNL}≤245 MeV for the νπ^{0} channel, assuming |U_{e4}|^{2}=|U_{τ4}|^{2}=0. These limits represent the most stringent constraints in the mass range 35
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - O Alterkait
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - D Barrow
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
- Michigan State University, East Lansing, Michigan 48824, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- University of Chicago, Chicago, Illinois 60637, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - M B Brunetti
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - Y Cao
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Chappell
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | | | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - R Cross
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | - P Englezos
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - A Ereditato
- University of Chicago, Chicago, Illinois 60637, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- University of Chicago, Chicago, Illinois 60637, USA
| | - D Franco
- University of Chicago, Chicago, Illinois 60637, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - F Gao
- University of California, Santa Barbara, California 93106, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - E Gramellini
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Green
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Gu
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- University of Chicago, Chicago, Illinois 60637, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - Z Imani
- Tufts University, Medford, Massachusetts 02155, USA
| | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - M Ismail
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Nankai University, Nankai District, Tianjin 300071, China
| | - J H Jo
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - H Liu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Viriginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - S Martynenko
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - I Mawby
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N McConkey
- University College London, London WC1E 6BT, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Micallef
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M M Moudgalya
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - N Oza
- Columbia University, New York, New York 10027, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - I Safa
- Columbia University, New York, New York 10027, USA
| | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- University of Chicago, Chicago, Illinois 60637, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - W Wu
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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12
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Wang R, Wang Y, Qin Y, Wei H. Antioxidative effects of ghrelin on human trabecular meshwork cells. J Fr Ophtalmol 2024; 47:103746. [PMID: 37806937 DOI: 10.1016/j.jfo.2022.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 10/31/2022] [Accepted: 11/11/2022] [Indexed: 10/10/2023]
Abstract
Glaucoma is a group of neurodegenerative diseases characterized by loss of retinal ganglion cells and visual field defects and is one of the major causes of irreversible blindness worldwide. Primary open-angle glaucoma (POAG) is one of the classifications of glaucoma. Oxidative stress in trabecular reticulated cells is one of the possible mechanisms of the development of glaucoma. At present, there is still a lack of effective methods to treat glaucoma. Ghrelin is characterized by its wide distribution and high potency and has anti-inflammatory, antioxidant, and anti-apoptotic effects, which may be beneficial in the treatment of glaucoma. In this study, we investigated whether ghrelin can protect human trabecular meshwork cells (HTMCs) from oxidative damage induced by hydrogen peroxide (H2O2), as well as the possible mechanism of action. CCK8 and flow cytometry results revealed that treatment of HTMCs with ghrelin showed a dose-dependent protective effect against H2O2-induced damage. Ghrelin significantly decreased the rate of apoptosis and levels of reactive oxygen species (ROS) and malondialdehyde (MDA) and increased the level of superoxide dismutase (SOD) and catalase (CAT) in HTMCs. The difference was statistically significant compared with the H2O2 group. Ghrelin activated Nrf2/HO-1/NQO-1 signaling pathways and decreased HIF-1α level in H2O2-injured HTMCs as shown on qPCR and Western blot. In conclusion, ghrelin can protect HTMCs from oxidative damage induced by H2O2 and reduce apoptosis in HTMCs, which can be a new approach to treating POAG. The underlying therapeutic mechanism may be related to Nrf2/HO-1/NQO-1 signaling pathways and HIF-1α.
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Affiliation(s)
- R Wang
- Eye Hospital, the First Affiliated Hospital of Harbin Medical University, Key Laboratory of Basic and Clinical Research of Heilongjiang Province, Harbin, China.
| | - Y Wang
- Eye Hospital, the First Affiliated Hospital of Harbin Medical University, Key Laboratory of Basic and Clinical Research of Heilongjiang Province, Harbin, China
| | - Y Qin
- Eye Hospital, the First Affiliated Hospital of Harbin Medical University, Key Laboratory of Basic and Clinical Research of Heilongjiang Province, Harbin, China
| | - H Wei
- Eye Hospital, the First Affiliated Hospital of Harbin Medical University, Key Laboratory of Basic and Clinical Research of Heilongjiang Province, Harbin, China.
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Li M, Jiang L, Liu S, Xu P, Wei H, Li Y, Guo C, Zhu L, Zhao B, Liu Y, Zhang M, Zhao J. Clinicopathological characteristics of 3 probable pediatric cases with acute severe hepatitis of unknown aetiology. New Microbes New Infect 2024; 56:101203. [PMID: 38146348 PMCID: PMC10749268 DOI: 10.1016/j.nmni.2023.101203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 11/13/2023] [Accepted: 11/22/2023] [Indexed: 12/27/2023] Open
Abstract
Background Acute severe hepatitis with unknown aetiology in children (ASHep-UA) has become a global health alert. This article reported clinicopathological characteristics of 3 probable ASHep-UA cases. Methods We respectively collected serological data and liver biopsies of 3 suspected cases of ASHep-UA. Neutralizing antibodies titer for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variants were determined by virus neutralization test (VNT). Histological assessment, immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) for cytomegalovirus (CMV), Epstein-Barr virus (EBV), human adenoviruses (HAdV), adeno-associated virus (AAV2), human herpes virus type 6 (HHV-6) were performed to identify possible aetiologies. Results Remarkable elevation of transaminase (median ALT level, 1100 IU/liter; median AST level, 500 IU/liter) were revealed with undetectable hepatitis A-E and non-hepatotropic virus in both sera and tissues. Weakness, jaundice, pale stools and splenomegaly were observed. Interestingly, two individuals had SARS-CoV-2 Omicron variants infection. Histologically, moderate or severe lobular necroinflammation, active interface hepatitis and portal inflammatory infiltrate with lymphocytic, plasma cells, neutrophils and eosinophilic cells were noted. Conclusions The exact aetiology of ASHep-UA was still unknown. By reporting the 3 probable cases, we expect to enrich the clinical experience in diagnosis and treatment of ASHep-UA as well as the pathological characteristics.
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Affiliation(s)
- Meiling Li
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lina Jiang
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Shuhong Liu
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Pengfei Xu
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Haiyan Wei
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yu Li
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Chaonan Guo
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Li Zhu
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Bokang Zhao
- Department of Hepatology, Center of Infectious Diseases and PathogenBiology, The First Hospital of Jilin University, Changchun, China
| | - Yisi Liu
- First Department of Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Min Zhang
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jingmin Zhao
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
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14
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Liang L, Ling S, Yu Y, Shuai R, Qiu W, Zhang H, Shen L, Wu S, Wei H, Chen Y, Yang C, Xu P, Chen X, Zou H, Feng J, Niu T, Hu H, Gong Z, Chen T, Zhan X, Gu X, Han L. Evaluation of the clinical, biochemical, genotype and prognosis of mut-type methylmalonic acidemia in 365 Chinese cases. J Med Genet 2023; 61:8-17. [PMID: 37316190 DOI: 10.1136/jmg-2022-108682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/28/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Methylmalonic acidemia (MMA), which results from defects in methylmalonyl-CoA mutase (mut type) or its cofactor, is the most common inherited organic acid metabolic disease in China. This study aimed to investigate the phenotype and genotype of mut-type MMA in Chinese patients. METHODS We recruited 365 patients with mut-type MMA; investigated their disease onset, newborn screening (NBS) status, biochemical metabolite levels, gene variations and prognosis; and explored the relationship between phenotype and genotype. RESULTS There were 152 patients diagnosed by tandem mass spectrometry (MS/MS) expanded NBS, 209 patients diagnosed because of disease onset without NBS and 4 cases diagnosed because of sibling diagnosis. The median age of onset was 15 days old, with a variety of symptoms without specificity. Urinary levels of methylmalonic acid and methylcitric acid (MCA) decreased after treatment. Regarding the prognosis, among the 152 patients with NBS, 50.6% were healthy, 30.3% had neurocognitive impairment and/or movement disorders and 13.8% died. Among the 209 patients without NBS, 15.3% were healthy, 45.9% had neurocognitive impairment and/or movement disorders and 33.0% died. In total, 179 variants were detected in the MMUT gene, including 52 novel variations. c.729_730insTT, c.1106G>A, c.323G>A, c.914T>C and c.1663G>A were the five most frequent variations. The c.1663G>A variation led to a milder phenotype and better prognosis. CONCLUSION There is a wide spectrum of variations in the MMUT gene with several common variations. Although the overall prognosis of mut-type MMA was poor, participation in MS/MS expanded NBS, vitamin B12 responsive and late onset are favourable factors for the prognosis.
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Affiliation(s)
- Lili Liang
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Shiying Ling
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Yue Yu
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Ruixue Shuai
- Department of Pediatrics, Shanghai Changzheng Hospital, Shanghai, China
| | - Wenjuan Qiu
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Huiwen Zhang
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Linghua Shen
- Center of Neonatal Disease Screening, Henan Children's Hospital, Zhengzhou, Henan, China
| | - Shengnan Wu
- Center of Neonatal Disease Screening, Henan Children's Hospital, Zhengzhou, Henan, China
| | - Haiyan Wei
- Center of Neonatal Disease Screening, Henan Children's Hospital, Zhengzhou, Henan, China
| | - Yongxing Chen
- Center of Neonatal Disease Screening, Henan Children's Hospital, Zhengzhou, Henan, China
| | - Chiju Yang
- Center of Neonatal Disease Screening, Jining Maternal and Child Health Care Hospital, Jining, China
| | - Peng Xu
- Center of Neonatal Disease Screening, Jining Maternal and Child Health Care Hospital, Jining, China
| | - Xigui Chen
- Center of Neonatal Disease Screening, Jining Maternal and Child Health Care Hospital, Jining, China
| | - Hui Zou
- Center of Neonatal Disease Screening, Jinan Maternal and Child Health Care Hospital, Jinan, China
| | - Jizhen Feng
- Center of Neonatal Disease Screening, Shijiazhuang Maternal and Child Health Care Hospital, Shijiazhuang, China
| | - Tingting Niu
- Center of Neonatal Disease Screening, Shandong Maternal and Child Health Care Hospital, Jinan, China
| | - Haili Hu
- Center of Neonatal Disease Screening, Hefei Maternal and Child Health Care Hospital, Hefei, China
| | - Zhuwen Gong
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Ting Chen
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Xia Zhan
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Xuefan Gu
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
| | - Lianshu Han
- Department Of Pediatric Endocrinology/Genetics, Shanghai Institute For Pediatric Research, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School Of Medicine, Shanghai, China
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Gao J, Liu X, Cui Y, Cao B, Chen Y, Wei H, Yang H. [Clinical characteristics and genetic analysis of two children with Familial glucocorticoid deficiency type 1 due to variants of MC2R gene]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2023; 40:1526-1530. [PMID: 37994136 DOI: 10.3760/cma.j.cn511374-20220509-00315] [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: 11/24/2023]
Abstract
OBJECTIVE To improve the recognition of Familial glucocorticoid deficiency type 1 (FGD1) due to variants of melanocortin 2 receptor (MC2R) gene. METHODS Two children with FGD1 diagnosed at the Henan Children's Hospital respectively in 2019 and 2021 were selected as the study subjects. Clinical data, treatment, follow-up and results of genetic testing were collected and retrospectively analyzed. RESULTS Whole exome sequencing revealed that both children had harbored compound heterozygous variants of the MC2R gene, including c.433C>T (p.R145C) and c.710T>C (p.L237P) in child 1, and c.145delG (p.V49Cfs*35) and c.307G>A (p.D103N) in child 2, among which c.710T>C (p.L237P) and c.145delG (p.V49Cfs*35) were unreported previously. CONCLUSION FGD1 is clinically rare, and genetic sequencing is crucial for the definite diagnosis. Discovery of the and novel variants has enriched the mutational spectrum of the FGD1 gene.
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Affiliation(s)
- Jing Gao
- Department of Endocrinology and Inborn Error of Metabolism, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, Henan 450018, China.
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Yu L, Guo Q, Wei H, Liu Y, Tong W, Zhu S, Ji T, Yang Q, Wang D, Xiao J, Lu H, Liu Y, Li J, Wang W, He Y, Zhang Y, Yan D. Molecular Epidemiology and Evolution of Coxsackievirus A14. Viruses 2023; 15:2323. [PMID: 38140564 PMCID: PMC10748285 DOI: 10.3390/v15122323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/19/2023] [Accepted: 11/24/2023] [Indexed: 12/24/2023] Open
Abstract
As the proportion of non-enterovirus 71 and non-coxsackievirus A16 which proportion of composition in the hand, foot, and mouth pathogenic spectrum gradually increases worldwide, the attention paid to other enteroviruses has increased. As a member of the species enterovirus A, coxsackievirus A14 (CVA14) has been epidemic around the world until now since it has been isolated. However, studies on CVA14 are poor and the effective population size, evolutionary dynamics, and recombination patterns of CVA14 are not well understood. In this study, 15 CVA14 strains were isolated from HFMD patients in mainland China from 2009 to 2019, and the complete sequences of CVA14 in GenBank as research objects were analyzed. CVA14 was divided into seven genotypes A-G based on an average nucleotide difference of the full-length VP1 coding region of more than 15%. Compared with the CVA14 prototype strain, the 15 CVA14 strains showed 84.0-84.7% nucleotide identity in the complete genome and 96.9-97.6% amino acid identity in the encoding region. Phylodynamic analysis based on 15 CVA14 strains and 22 full-length VP1 sequences in GenBank showed a mean substitution rate of 5.35 × 10-3 substitutions/site/year (95% HPD: 4.03-6.89 × 10-3) and the most recent common ancestor (tMRCA) of CVA14 dates back to 1942 (95% HPD: 1930-1950). The Bayesian skyline showed that the effective population size had experienced a decrease-increase-decrease fluctuation since 2004. The phylogeographic analysis indicated two and three possible migration paths in the world and mainland China, respectively. Four recombination patterns with others of species enterovirus A were observed in 15 CVA14 strains, among which coxsackievirus A2 (CVA2), coxsackievirus A4 (CVA4), coxsackievirus A6 (CVA6), coxsackievirus A8 (CVA8), and coxsackievirus A12 (CVA12) may act as recombinant donors in multiple regions. This study has filled the gap in the molecular epidemiological characteristics of CVA14, enriched the global CVA14 sequence database, and laid the epidemiological foundation for the future study of CVA14 worldwide.
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Affiliation(s)
- Liheng Yu
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Qin Guo
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Haiyan Wei
- Henan Center for Disease Control and Prevention, Zhengzhou 450003, China;
| | - Yingying Liu
- Hebei Center for Disease Control and Prevention, Shijiazhuang 050024, China;
| | - Wenbin Tong
- Sichuan Center for Disease Control and Prevention, Chengdu 610044, China;
| | - Shuangli Zhu
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Tianjiao Ji
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Qian Yang
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Dongyan Wang
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Jinbo Xiao
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Huanhuan Lu
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Ying Liu
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Jichen Li
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Wenhui Wang
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 271016, China; (W.W.); (Y.H.)
| | - Yun He
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 271016, China; (W.W.); (Y.H.)
| | - Yong Zhang
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
| | - Dongmei Yan
- National Polio Laboratory, WHO WPRO Regional Polio Reference Laboratory, National Health Commission Key Laboratory for Biosecurity, National Health Commission Key Laboratory of Medical Virology, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.Y.); (Q.G.); (S.Z.); (T.J.); (Q.Y.); (D.W.); (J.X.); (H.L.); (Y.L.); (J.L.); (Y.Z.)
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17
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Liu J, Wei H, Zheng J, Chen R, Wang L, Jiang F, Gu W. Constructing indicator species distribution models to study the potential invasion risk of invasive plants: A case of the invasion of Parthenium hysterophorus in China. Ecol Evol 2023; 13:e10672. [PMID: 37920769 PMCID: PMC10618719 DOI: 10.1002/ece3.10672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 08/19/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023] Open
Abstract
Aim As invasive plants are often in a non-equilibrium expansion state, traditional species distribution models (SDMs) are likely underestimating their suitable habitat. New methods are necessary to identify potential invasion risk areas. Location Tropical monsoon rainforest and subtropical evergreen broad-leaved forest regions in China. Methods We took Parthenium hysterophorus as a case study to predict its potential invasion risk using climate, terrain, and human activity variables. First, a generalized joint attribute model (GJAM) was constructed using the occurrence of P. hysterophorus and its 27 closely related species in Taiwan, given it is widely distributed in Taiwan. Based on the output correlation values, two positively correlated species (Cardiospermum halicacabum and Portulaca oleracea) and one negatively correlated species (Crassocephalum crepidioides) were selected as indicator species. Second, the distributions of P. hysterophorus and its indicator species in the study area were predicted separately using an ensemble model (EM). Third, when selecting indicator species to construct indicator SDMs, two treatments (indicator species with positive correlation only, or both positive and negative correlation) were considered. The indicator species' EM predictions were overlaid using a weighted average method, and a better indicator SDMs prediction result was selected by comparison. Finally, the EM prediction result of P. hysterophorus was used to optimize the indicator SDMs result by a maximum overlay. Results The optimized indicator SDMs prediction showed an expanded range beyond the current geographic range compared to EM and the thresholds for predicting key environmental variables were wider. It also reinforced the human activities' influence on the potential distribution of P. hysterophorus. Main Conclusions For invasive plants with expanding ranges, information about indicator species distribution can be borrowed as a barometer for areas not currently invaded. The optimized indicator SDMs allow for more efficient potential invasion risk prediction. On this basis, invasive plants can be prevented earlier.
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Affiliation(s)
- Jiamin Liu
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest ChinaShaanxi Normal UniversityXi'anChina
- School of Geography and TourismShaanxi Normal UniversityXi'anChina
| | - Haiyan Wei
- School of Geography and TourismShaanxi Normal UniversityXi'anChina
| | - Jiaying Zheng
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest ChinaShaanxi Normal UniversityXi'anChina
- School of Geography and TourismShaanxi Normal UniversityXi'anChina
| | - Ruidun Chen
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest ChinaShaanxi Normal UniversityXi'anChina
- School of Geography and TourismShaanxi Normal UniversityXi'anChina
| | - Lukun Wang
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest ChinaShaanxi Normal UniversityXi'anChina
- School of Geography and TourismShaanxi Normal UniversityXi'anChina
| | - Fan Jiang
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest ChinaShaanxi Normal UniversityXi'anChina
- School of Geography and TourismShaanxi Normal UniversityXi'anChina
| | - Wei Gu
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest ChinaShaanxi Normal UniversityXi'anChina
- College of Life SciencesShaanxi Normal UniversityXi'anChina
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18
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Fang Q, Bi X, Wei H, Liu S, Di J, Liu Y, Xu F, Wang B. A novel nonsense mutation of PNLDC1 associated with male infertility due to oligo-astheno-teratozoospermia in a consanguineous Chinese family. QJM 2023; 116:866-868. [PMID: 37458503 DOI: 10.1093/qjmed/hcad163] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Indexed: 10/25/2023] Open
Affiliation(s)
- Q Fang
- Department of Reproduction, Tianjin First Central Hospital, Tianjin, China
| | - X Bi
- Center for Genetics, National Research Institute for Family Planning, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - H Wei
- Center for Genetics, National Research Institute for Family Planning, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - S Liu
- Center for Genetics, National Research Institute for Family Planning, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - J Di
- Department of Reproduction, Tianjin First Central Hospital, Tianjin, China
| | - Y Liu
- Department of Reproduction, Tianjin First Central Hospital, Tianjin, China
| | - F Xu
- Department of Reproduction, Tianjin First Central Hospital, Tianjin, China
| | - B Wang
- Center for Genetics, National Research Institute for Family Planning, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Reproductive Health Engineering Technology Research (NRIFP)
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19
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Wei H, Wang CY, Yin YY, Wang Y. [Analysis on morbidity characteristics of occupational diseases in Taian City from 2006 to 2021]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:841-845. [PMID: 37935551 DOI: 10.3760/cma.j.cn121094-20220506-00237] [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] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Objective: To analyze the morbidity characteristics of new occupational diseases in Taian City from 2006 to 2021 and provide scientific evidence for local prevention and treatment of occupational diseases. Methods: In March 2022, the data of newly diagnosed occupational diseases in Taian City from 2006 to 2021 were obtained from Information Monitoring System for Occupational Diseases and Health Hazards. A descriptive analysis was performed for the distribution of onset age, working years, types of occupational diseases, region, industries, enterprise scale, enterprise economic type and the epidemic trend of occupational diseases. Results: 1362 cases of occupational diseases in 29 species of 9 categories were reported in Taian City from 2006 to 2021, including 1311 males and 51 females. The M (P(25), P(75)) of onset age and working age were 53 (47, 64) and 24.08 (16.56, 29.25) respectively. The top three categories of occupational diseases were occupational pneumoconiosis and other respiratory diseases (1128 cases, 82.82%), occupational otolaryngology and oral diseases (107 cases, 7.86%), and occupational chemical poisoning (70 cases, 5.14%) in sequence. Coal worker's pneumoconiosis, noise deafness, silicosis, poisoning of manganese and its compounds and cataract were the top five species of occupational diseases, which accounted for 69.60% (948/1362), 7.64% (104/1362), 5.58% (76/1362), 3.38% (46/1362) and 2.94% (40/1362) of the total cases of occupational diseases.There were significant differences among the composition of occupational diseases categories reported annually (P<0.001), but the number of occupational pneumoconiosis and other respiratory diseases was the highest on each year. The number of occupational diseases showed a decreasing trend with the year, and the optimal fitting curve was an growth curve. The number of newly diagnosed occupational diseases was predicted to be 172 cases from 2022 to 2026. Occupational pneumoconiosis and other respiratory diseases was the main disease in 6 counties. The occupational diseases cases were mainly distributed in Feicheng County and Xintai County, with 520 cases and 504 cases respectively, accounting for 75.18% of occupational diseases cases. The coal mining and washing industry had the largest number of occupational diseases cases, accounting for 73.05% of all occupational diseases cases. 91.85% of occupational diseases cases came from large and medium-sized enterprises. The economic type of enterprises with the most occupational diseases was state-owned enterprises, accounting for 74.52% of occupational diseases cases. Conclusion: The predominant occupational diseases in Taian City are occupational pneumoconiosis and other respiratory diseases, occupational otolaryngology and oral diseases, occupational chemical poisoning. And the prevention and control of occupational diseases should be strengthened in key industries such as coal mining and washing industry, key enterprises such as state-owned large and medium-sized enterprises.
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Affiliation(s)
- H Wei
- Occupational Health Department, Taian Municipal Center for Diseases Control and Prevention, Taian 271000, China
| | - C Y Wang
- Occupational Health Department, Taian Municipal Center for Diseases Control and Prevention, Taian 271000, China
| | - Y Y Yin
- Occupational Health Department, Taian Municipal Center for Diseases Control and Prevention, Taian 271000, China
| | - Y Wang
- Occupational Health Department, Taian Municipal Center for Diseases Control and Prevention, Taian 271000, China
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20
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Hu Y, Cai Q, Xu Y, Xue J, Yu E, Wei H, Xu K, Huo Z, Zhang H. One-time fertilization of controlled-release urea with compound fertilizer and rapeseed cake maintains rice grain yield and improves nitrogen use efficiency under reduced nitrogen conditions. Front Plant Sci 2023; 14:1281309. [PMID: 37881617 PMCID: PMC10595149 DOI: 10.3389/fpls.2023.1281309] [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] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023]
Abstract
Nitrogen (N) rate reduction and simplified fertilization can mitigate environmental impacts and reduce the involvement of manual labor in rice (Oryza sativa L.) production. Controlled-release urea (CRU) has been recommended as an effective alternative technique to conventional urea fertilization, and it can improve rice yield and N use efficiency (NUE) and reduce labor costs. However, the information on the effects of one-time fertilization with CRU on maintaining yield and improving NUE under reduced chemical N conditions is limited. In this study, controlled-release bulk blending fertilizer (CRF), consisting of CRU with release periods of 40 and 100 days, mixed with compound fertilizer, was applied as basal fertilizer. Increased ~20% plant density (ID) and rapeseed cake fertilizer (RC, increase 20% organic N) were combined with CRF, respectively. The N treatments with 20% chemical N reduction were as follows: reduced N fertilizer (RNF), CRF, CRF+ID, and CRF+RC. In addition, a conventional split fertilizer application with 300 kg ha-1 N was applied as the control (CK). Rice yield and its components, dry matter accumulation, N uptake, and NUE were investigated to evaluate whether one-time N fertilization realized stable yield and high NUE under reduced 20% chemical N conditions. Compared with CK, the CRF+RC treatment exhibited a comparable grain yield, while the other reduced N treatments (RNF, CRF, and CRF+ID) had a lower grain yield. Moreover, CRF+ID exhibited a higher rice grain yield than RNF or CRF under the same N level. Irrespective of exogenous organic N, CRF+RC exhibited significantly higher NUE than CK. The CRF+ID treatment showed a significantly higher N partial factor productivity (PFN) than CK but comparable N agronomic efficiency (NAE) and N recovery efficiency (NRE). Therefore, a one-time fertilizer application of CRF+RC maintained grain yield and improved the NUE while reducing the N rate and fertilization times, demonstrating its potential application in rice production.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Hongcheng Zhang
- Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
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21
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Zhang M, Bi X, Ge B, Wei H, Gong L, Wang J, Wang B. Case report: human early embryonic arrest in a consanguineous Chinese family caused by a novel missense variant of PADI6. QJM 2023; 116:784-786. [PMID: 37220902 DOI: 10.1093/qjmed/hcad102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Indexed: 05/25/2023] Open
Affiliation(s)
- M Zhang
- Department of Reproductive Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - X Bi
- Center for Genetics, National Research Institute for Family Planning, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - B Ge
- Department of Reproductive Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - H Wei
- Center for Genetics, National Research Institute for Family Planning, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - L Gong
- Department of Reproductive Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - J Wang
- Department of Medical Genetics and Developmental Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - B Wang
- Center for Genetics, National Research Institute for Family Planning, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- NHC Key Laboratory of Reproductive Health Engineering Technology Research (NRIFP), Beijing, China
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22
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Zhao X, Li C, Yang H, Wei H, Li Y. Antibacterial Activity of a Lysin LysP53 against Streptococcus mutans. J Dent Res 2023; 102:1231-1240. [PMID: 37698342 DOI: 10.1177/00220345231182675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023] Open
Abstract
Dental caries is a common disease affecting quality of life globally. In the present study, we found that a bacteriophage lysin LysP53 against Acinetobacter baumannii possesses selective activity on Streptococcus mutans, the main etiological agent of dental caries, even in low pH caries microenvironments, whereas only minor LysP53 activity was detected against Streptococcus sanguinis, Streptococcus oralis, and Streptococcus mitis. Testing activity against S. mutans planktonic cells showed that 4 μM LysP53 could kill more than 84% of S. mutans within 1 min in buffer with optimal pHs ranging from 4.0 to 6.5. Daily application of LysP53 on biofilms formed in BHI medium supplemented or not with sucrose could reduce exopolysaccharides, expression of genes related to acid resistance and adhesion, and the number of live bacteria in the biofilms. LysP53 treatment also showed similar effects as 0.12% chlorhexidine in preventing enamel demineralization due to S. mutans biofilms, as well as effective removal of S. mutans colonization of tooth surfaces in mice without observed toxic effects. Because of its selective activity against main cariogenic bacteria and good activity in low pH caries microenvironments, it is advantageous to use LysP53 as an active agent for preventing caries.
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Affiliation(s)
- X Zhao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School of Stomatology, Wuhan University, Wuhan, Hubei, China
| | - C Li
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - H Yang
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - H Wei
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Y Li
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School of Stomatology, Wuhan University, Wuhan, Hubei, China
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23
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Luo X, Zhang C, Yang Y, Xu X, Cheng X, Wei H, Wang L, Huang F, Shi X, Cabri P. Efficacy and Safety of Triptorelin 3-Month Formulation in Chinese Children with Central Precocious Puberty: A Phase 3, Open-Label, Single-Arm Study. Adv Ther 2023; 40:4574-4588. [PMID: 37584898 PMCID: PMC10499740 DOI: 10.1007/s12325-023-02617-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 07/14/2023] [Indexed: 08/17/2023]
Abstract
INTRODUCTION Triptorelin is available as 1- and 3-month prolonged-release (PR) formulations; at the time of the study, only the former was approved for central precocious puberty (CPP) in China. This study assessed the efficacy and safety of the triptorelin 3-month PR formulation in Chinese children with CPP. METHODS In this 12-month, prospective, open-label, multicentre, single-arm study (NCT04736602), Chinese children (mean age [standard deviation (SD)], 7.6 ± 0.8 years) with CPP received triptorelin pamoate 15 mg on day 1 and at months 3, 6 and 9. The primary endpoint was the proportion with luteinizing hormone (LH) suppression (stimulated peak LH ≤ 3 IU/L after gonadotropin-releasing hormone [GnRH] stimulation) at month 3. Secondary endpoints included changes from baseline in hormone levels and clinical parameters, as well as safety assessments. RESULTS Overall, 32 children were enrolled, including three boys. LH suppression to prepubertal levels (≤ 3 IU/L) after GnRH stimulation was observed in 100%, 93.5% and 93.5% of participants at months 3, 6 and 12, respectively. Basal and peak LH and follicle-stimulating hormone levels were substantially suppressed at months 3, 6 and 12, and most participants showed sex hormone suppression. At months 6 and 12 respectively 92.9% and 89.3% of girls had stable breast development, and all boys had stable genital development. There was a decrease in mean growth velocity from baseline (8.96 cm/year) to months 3, 6 and 12 (8.07, 5.24 and 6.94 cm/year, respectively). The mean difference between bone and chronological age decreased from baseline (2.85 years) to month 12 (2.39 years). In girls, uterine length was stable or reduced at month 12; in boys, testicular volume was reduced. Triptorelin was well tolerated. CONCLUSION The triptorelin 3-month PR formulation demonstrated similar efficacy to that previously reported in non-Chinese patients with CPP and had an acceptable safety profile. This supports triptorelin 3-month PR as a viable option for Chinese children with CPP.
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Affiliation(s)
- Xiaoping Luo
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Cai Zhang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yang
- Department of Endocrinology, Metabolism, and Genetics, Children's Hospital of Nanchang University and Jiangxi Provincial Children's Hospital, Nanchang, China
| | - Xu Xu
- Department of Pediatric Endocrinology, Wuxi Children's Hospital, Wuxi, China
| | - Xinran Cheng
- Department of Endocrinology and Metabolism, Chengdu Women's and Children's Central Hospital, Chengdu, China
| | - Haiyan Wei
- Department of Endocrinology, Metabolism and Genetics, Henan Children's Hospital, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Lanying Wang
- Department of Child Health Care, Tangshan Maternal and Child Health Hospital, Tangshan, China
| | - Frank Huang
- Ipsen (Shanghai) Innovation Pharmaceutical Co., Ltd., Shanghai, China
| | - Xiaofeng Shi
- Ipsen (Shanghai) Innovation Pharmaceutical Co., Ltd., Shanghai, China
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24
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Liu F, Chen Q, Cao B, Du M, Cui Y, Huang A, Li Y, Wei H. Status and related factors of anxiety of primary caregivers of children with type 1 diabetes: a prospective study. Endocr J 2023; 70:875-882. [PMID: 37357391 DOI: 10.1507/endocrj.ej22-0640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023] Open
Abstract
Primary caregivers of children with type 1 diabetes mellitus (T1DM) are prone to negative emotions. This study explored the anxiety status of the caregivers and analyzed the related factors. In this prospective study, 245 primary caregivers of T1DM children who were reexamined in the outpatient clinic of Children's Hospital affiliated to Zhengzhou University between April 2020 and Sep 2022 were surveyed with a questionnaire and the Hamilton Anxiety Rating Scale (HAMA). The detection rate of anxiety symptoms in T1DM primary caregivers was 21.2%, with a total score of HAMA score of 11.74 ± 2.50. There were significant differences between the anxiety and non-anxiety groups in treatment method, HbA1C to standard (≤7.0%), severe hypoglycemia in the last 1 year and the number of adolescent cases (χ2 = 15.798, p = 0.000; χ2 = 4.197, p = 0.040; χ2 = 5.291, p = 0.021; χ2 = 14.279, p = 0.000). Multivariable logistic regression analysis showed that insulin pump treatment, HbA1C to standard (≤7.0%) and adolescence were associated with anxiety in primary caregivers (OR = 4.040, 95%CI 1.969-8.289, p = 0.000; OR = 0.472, 95%CI 0.237-0.955, p = 0.037; OR = 2.952, 95%CI 1.495-5.831, p = 0.002). Pediatric endocrine care should pay more attention to the anxiety of the caregivers of adolescent T1DM children treated with insulin pumps while helping the children manage their disease.
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Affiliation(s)
- Fang Liu
- Department of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Zhengzhou, Henan 450018, China
| | - Qiong Chen
- Department of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Zhengzhou, Henan 450018, China
| | - Bingyan Cao
- Department of Endocrinology, Genetics, and Metabolism, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Mengmeng Du
- Department of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Zhengzhou, Henan 450018, China
| | - Yan Cui
- Department of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Zhengzhou, Henan 450018, China
| | - Ai Huang
- Department of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Zhengzhou, Henan 450018, China
| | - Yangshiyu Li
- Department of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Zhengzhou, Henan 450018, China
| | - Haiyan Wei
- Department of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Zhengzhou, Henan 450018, China
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25
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Abratenko P, Alterkait O, Andrade Aldana D, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Cohen EO, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hicks R, Hilgenberg C, Horton-Smith GA, Irwin B, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Miller K, Mills J, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Pophale I, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, John JS, Strauss T, Sword-Fehlberg S, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Double-Differential Measurement of Kinematic Imbalance in Neutrino Interactions with the MicroBooNE Detector. Phys Rev Lett 2023; 131:101802. [PMID: 37739352 DOI: 10.1103/physrevlett.131.101802] [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: 01/11/2023] [Revised: 05/09/2023] [Accepted: 07/14/2023] [Indexed: 09/24/2023]
Abstract
We report the first measurement of flux-integrated double-differential quasielasticlike neutrino-argon cross sections, which have been made using the Booster Neutrino Beam and the MicroBooNE detector at Fermi National Accelerator Laboratory. The data are presented as a function of kinematic imbalance variables which are sensitive to nuclear ground-state distributions and hadronic reinteraction processes. We find that the measured cross sections in different phase-space regions are sensitive to different nuclear effects. Therefore, they enable the impact of specific nuclear effects on the neutrino-nucleus interaction to be isolated more completely than was possible using previous single-differential cross section measurements. Our results provide precision data to help test and improve neutrino-nucleus interaction models. They further support ongoing neutrino-oscillation studies by establishing phase-space regions where precise reaction modeling has already been achieved.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - O Alterkait
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - O Benevides Rodrigues
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
- Syracuse University, Syracuse, New York 13244, USA
| | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - E O Cohen
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Hicks
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University College London, London WC1E 6BT, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - N Oza
- Columbia University, New York, New York 10027, USA
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I D Ponce-Pinto
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Zhang LL, Wei H, Ding Y, Fu YJ, Li CJ, Yin ZL. [Multiple intracranial tuberculomas: a case report]. Zhonghua Nei Ke Za Zhi 2023; 62:1126-1128. [PMID: 37650186 DOI: 10.3760/cma.j.cn112138-20220826-00637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- L L Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - H Wei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Y Ding
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Y J Fu
- Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - C J Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Z L Yin
- Department of Neurology, Jilin Province People's Hospital, Changchun 130021, China
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Liang X, Huang K, Dong G, Chen R, Chen S, Zheng R, Wang C, Wei H, Cao B, Liang Y, Yao H, Su Z, Maimaiti M, Luo F, Li P, Zhu M, Du H, Yang Y, Cui L, Si S, Bai G, Yu Y, Wang EG, Hofman PL, Fu J. Current Pubertal Development in Chinese Children and the Impact of Overnutrition, Lifestyle, and Perinatal Factors. J Clin Endocrinol Metab 2023; 108:2282-2289. [PMID: 36881937 DOI: 10.1210/clinem/dgad102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/03/2023] [Accepted: 02/16/2023] [Indexed: 03/09/2023]
Abstract
CONTEXT Age of pubertal onset has been decreasing in many countries but there have been no data on pubertal development in Chinese children over the last decade. OBJECTIVE The primary objective of the study was to evaluate the current status of sexual maturation in Chinese children and adolescents. Secondary objectives were to examine socioeconomic, lifestyle, and auxological associations with pubertal onset. METHODS In this national, cross-sectional, community-based health survey, a multistage, stratified cluster random sampling method was used to select a nationally representative sample, consisting of 231 575 children and adolescents (123 232 boys and 108 343 girls) between 2017 and 2019. Growth parameters and pubertal staging were assessed by physical examination. RESULTS Compared to 10 years previously, the median age of Tanner 2 breast development and menarche were similar at 9.65 years and 12.39 years respectively. However, male puberty occurred earlier with a median age of testicular volume ≥4 mL of 10.65 years. Pubertal onset did occur earlier at the extremes, with 3.3% of the girls with breast development at 6.5-6.99 years old, increasing to 5.8% by 7.5-7.99 years old. Early pubertal onset was also noted in boys, with a testicular volume ≥ 4 mL noted in 1.5% at 7.5-7.99 years, increasing to 3.5% at 8.5-8.99 years old. Obesity and overweight increased risk of developing earlier puberty relative to normal weight in both boys and girls. CONCLUSION Over the past decade, pubertal development is occurring earlier in Chinese children. While the cause is multifactorial, overweight and obesity are associated with earlier puberty onset. The currently used normative pubertal data of precocious puberty may not be applicable to diagnose precocious puberty.
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Affiliation(s)
- Xinyi Liang
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310057, China
| | - Ke Huang
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310057, China
| | - Guangping Dong
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310057, China
| | - Ruimin Chen
- Department of Endocrinology, Children's Hospital of Fuzhou, Fuzhou, Fujian Province 350001, China
| | - Shaoke Chen
- Department of Pediatric, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530002, China
| | - Rongxiu Zheng
- Department of Pediatrics, Tianjin Medical University Central Hospital, Tianjin 300204, China
| | - Chunlin Wang
- Department of Pediatrics, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Haiyan Wei
- Department of Endocrinology, Zhengzhou Children's Hospital, Zhengzhou 450012, China
| | - Bingyan Cao
- Department of Endocrinology, Beijing Children's Hospital, Capital Medical University, National Medical Center for Children's health, Beijing 100045, China
| | - Yan Liang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hui Yao
- Department of Pediatric, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430019, China
| | - Zhe Su
- Department of Endocrinology, Shenzhen Children's Hospital, Shenzhen 518034, China
| | - Mireguli Maimaiti
- Department of Pediatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 839911, China
| | - Feihong Luo
- Department of Pediatric Endocrinology and Inherited Metabolic Diseases, Children's Hospital of Fudan University, Shanghai 200433, China
| | - Pin Li
- Department of Endocrinology, Children's Hospital of Shanghai Jiaotong University, Shanghai 200240, China
| | - Min Zhu
- Department of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
| | - Hongwei Du
- Department of Pediatric Endocrinology, The First Bethune Hospital of Jilin University, Changchun 130021, China
| | - Yu Yang
- Department of Endocrinology, Jiangxi Provincial Children's Hospital, Nanchang 330006, China
| | - Lanwei Cui
- Department of Pediatrics, The First Affiliated Hospital of Harbin Medical University, Harbin 150010, China
| | - Shuting Si
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310030, China
| | - Guannan Bai
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310057, China
| | - Yunxian Yu
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310030, China
| | - Er-Gang Wang
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Paul L Hofman
- Liggins Institute, University of Auckland, Auckland 1142, New Zealand
| | - Junfen Fu
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310057, China
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Wei H, Xiao X, Zeng S, Liu Y, Liu X, Zeng T, Xu P, Xia W, Guo L, Hong S, Lv W, Chen Y, Xu R. Alterations in factors associated with diabetic retinopathy combined with thrombosis: A review. Medicine (Baltimore) 2023; 102:e34373. [PMID: 37543800 PMCID: PMC10403020 DOI: 10.1097/md.0000000000034373] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/07/2023] Open
Abstract
Diabetic retinopathy (DR) is one of the most common and serious microvascular complications of diabetes mellitus, the incidence of which has been increasing annually, and it is the main cause of vision loss in diabetic patients and a common cause of blindness. It is now found that thrombosis plays a crucial role in the disease progression in DR patients, and the final vision loss in DR may be related to the occurrence of thrombosis in the retinal vessels, which is dominated by abnormal endothelial cell function, together with platelet dysfunction, imbalance of coagulation and fibrinolytic function, and related alterations of inflammatory factors leading to the main cause of thrombotic disease in DR patients. In this review, we examine the role between DR and thrombosis and the association of each factor, including endothelial dysfunction; platelet dysfunction; coagulation-fibrinolytic imbalance; and alterations in inflammatory factors.
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Affiliation(s)
- Haiyan Wei
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Xiaoping Xiao
- Ganzhou Key Laboratory for Drug Screening and Discovery, School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, P.R. China
- Provincial Key Laboratory of Low-Carbon Solid Waste Recycling, Gannan Normal University, Ganzhou, P. R. China
| | - Shuqin Zeng
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Ye Liu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Xiaofang Liu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Tianyu Zeng
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Pengxiang Xu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Wenyan Xia
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Li Guo
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Shihua Hong
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Weiming Lv
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Yijian Chen
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
| | - Rong Xu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China
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Xu R, Xu P, Wei H, Huang Y, Zhu X, Lin C, Yan Z, Xin L, Li L, Lv W, Zeng S, Tian G, Ma J, Cheng B, Lu H, Chen Y. Ticlopidine induces embryonic development toxicity and hepatotoxicity in zebrafish by upregulating the oxidative stress signaling pathway. Ecotoxicol Environ Saf 2023; 262:115283. [PMID: 37531924 DOI: 10.1016/j.ecoenv.2023.115283] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/26/2023] [Accepted: 07/17/2023] [Indexed: 08/04/2023]
Abstract
Ticlopidine exerts its anti-platelet effects mainly by antagonizing platelet p2y12 receptors. Previously, a few studies have shown that ticlopidine can induce liver injury, but the exact mechanism of hepatotoxicity remains unclear. Oxidative stress, metabolic disorders, hepatocyte apoptosis, lipid peroxidation, and inflammatory responses can all lead to hepatic liver damage, which can cause hepatotoxicity. In this study, in order to deeply explore the potential molecular mechanisms of ticlopidine -induced hepatotoxicity, we used zebrafish as a model organism to comprehensively evaluate the hepatotoxicity of ticlopidine and its associated mechanism. Three days post-fertilization, zebrafish larvae were exposed to varying concentrations (1.5, 1.75 and 2 μg/mL) of ticlopidine for 72 h, in contrast, adult zebrafish were exposed exposure to 4 μg/mL of ticlopidine for 28 days. Ticlopidine-exposed zebrafish larvae showed changes in liver morphology, shortened body length, and delayed development of the swim bladder development. Liver tissues of ticlopidine-exposed zebrafish larvae and adults stained with Hematoxylin & Eosin revealed vacuolization and increased cellular interstitial spaces in liver tissues. Furthermore, using Oil Red O and periodic acid-Schiff staining methods and evaluating different metabolic enzymes of ticlopidine-exposed zebrafish larvae and adults suggested abnormal liver metabolism and liver injury in both ticlopidine-exposed zebrafish larvae and adults. Ticlopidine also significantly elevated inflammation and oxidative stress and reduced hepatocyte proliferation. During the rescue intervention using N-acetylcysteine, we observed significant improvement in ticlopidine-induced morphological changes in the liver, shortened body length, delayed swim bladder development, and proliferation of liver tissues showed significant improvement. In conclusion, ticlopidine might inhibit normal development and liver proliferation in zebrafish by upregulation of oxidative stress levels, thus leading to embryonic developmental toxicity and hepatotoxicity. In this study, we used zebrafish as a model organism to elucidate the developmental toxicity and hepatotoxicity induced by ticlopidine upregulation of oxidative stress signaling pathway in zebrafish, providing a theoretical basis for clinical application.
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Affiliation(s)
- Rong Xu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Pengxiang Xu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Haiyan Wei
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Yong Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330029, Jiangxi, PR China
| | - Xiaodan Zhu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Chuanming Lin
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Zhimin Yan
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Liuyan Xin
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Lin Li
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Weiming Lv
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Shuqin Zeng
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000 Jiangxi, PR China
| | - Guiyou Tian
- Ganzhou Key Laboratory for Drug Screening and Discovery, School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou 341000 Jiangxi, PR China
| | - Jinze Ma
- Ganzhou Key Laboratory for Drug Screening and Discovery, School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou 341000 Jiangxi, PR China
| | - Bo Cheng
- Ganzhou Key Laboratory for Drug Screening and Discovery, School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou 341000 Jiangxi, PR China
| | - Huiqiang Lu
- Ganzhou Key Laboratory for Drug Screening and Discovery, School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou 341000 Jiangxi, PR China.
| | - Yijian Chen
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China; The Endemic Disease (Thalassemia) Clinical Research Center of Jiangxi Province, Ganzhou 341000, China.
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Xiong Q, Zhang J, Sun C, Wang R, Wei H, He H, Zhou D, Zhang H, Zhu J. Metabolomics revealed metabolite biomarkers of antioxidant properties and flavonoid metabolite accumulation in purple rice after grain filling. Food Chem X 2023; 18:100720. [PMID: 37397194 PMCID: PMC10314141 DOI: 10.1016/j.fochx.2023.100720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 07/04/2023] Open
Abstract
The correlation between flavonoids, phenolic metabolites and the total antioxidant capacity is well established. However, specific biomarkers of metabolites with antioxidant properties in purple rice grains remain unidentified. This study integrated nontargeted metabolomics, quantitative detection of flavonoids and phenolic compounds, and physiological and biochemical data to identify metabolite biomarkers of the antioxidant properties of purple rice grains after filling. The findings demonstrated a significant enhancement in the biosynthesis of flavonoids during the middle and late filling stages in purple rice grains. Additionally, the pathways involved in anthocyanin and flavonoid biosynthesis were significantly enriched. Catalase (CAT), phenylalanine ammonia-lyase (PAL), total phenols (TP), flavonoids (FD), and oligomeric proanthocyanidin (OPC) were significantly correlated with philorizin, myricetin 3-galactoside, and trilobatin. Phlorizin, myricetin 3-galactoside, and trilobatin were metabolite biomarkers of antioxidant properties in purple rice grains. This study provides new ideas for the cultivation of high-quality coloured rice varieties with high antioxidant activity.
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Affiliation(s)
- Qiangqiang Xiong
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
| | - Jiao Zhang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
| | - Changhui Sun
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
| | - Runnan Wang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
| | - Haiyan Wei
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
| | - Haohua He
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang 330045, China
| | - Dahu Zhou
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang 330045, China
| | - Hongcheng Zhang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
| | - Jinyan Zhu
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
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Wei H, Dong YJ, He M, Chen Y, Shen XM. [The influencing factors of functional somatic discomfort in clinical nurses]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:429-434. [PMID: 37400403 DOI: 10.3760/cma.j.cn121094-20220627-00339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/05/2023]
Abstract
Objective: To investigate the functional somatic discomfort status, and to analyze the effect of job stress, hostile attribution bias and ego depletion on functional somatic discomfort in clinical nurses. Methods: In May 2019, 10 cities in Henan Province and Fujian Province were randomly selected as sampling cities. Using the stratified cluster sampling method, nurses of clinical nursing posts in 22 third class hospitals and 23 second class hospitals were selected as the research objects. The general information, job stress, hostile attribution bias, ego depletion and functional somatic discomfort of clinical nurses were investigated by self-designed general information questionnaire, Perceived Stress Scale, Social Information Processing-attribution Bias Questionnaire, Self-regulatory Fatigue Scale, Patient Health Questionnaire-15. 1200 clinical nurses included, and a total of 1159 valid questionnaires were collected, the effective rate of questionnaire collection was 96.6%. The t test was used to compare the difference of the functional somatic discomfort scores of clinical nurses with different demographic characteristicst. The influence of job stress, hostile attribution bias and ego depletion on functional somatic discomfort of clinical nurses were analyzed with Bootstrap. Results: The functional somatic discomfort score of clinical nurses was (8.95±4.38), of which 859 (74.12%) had functional somatic discomfort symptom. The functional somatic discomfort score of clinical nurses aged 36-50 years old was higher than that of 19-35 years old, the functional somatic discomfort score of clinical nurses with service age ≥5 years was higher than that of <5 years, the functional somatic discomfort score of non-permanent clinical nurses was higher than that of permanent clinical nurses, the functional somatic discomfort score of clinical nurses in tertiary hospitals was higher than that of secondary hospitals, the functional somatic discomfort score of clinical nurses in surgical departments were higher than those in non-surgical departments, and the differences were statistically significant (P<0.05). Job stress affected functional somatic discomfort through the single mediating role of hostile attribution bias, the single mediating role of ego depletion, and the chain mediating role of hostile attribution bias and ego depletion (β=0.17, 95%CI: 0.10-0.20; β=0.16, 95%CI: 0.10-0.20; β=0.07, 95%CI: 0.03-0.10; P<0.05) . Conclusion: The functional somatic discomfort symptoms of clinical nurses are significant and varied among different age, working age, employment form, hospital grade and department groups. They are affected by work stress directly and through the separate mediating effect of hostile attribution bias and ego depletion, and the chain mediating effect of hostile attribution bias and ego depletion.
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Affiliation(s)
- H Wei
- Department of Nursing, Henan Nursing Vocational College, Anyang 455000, China
| | - Y J Dong
- Department of Nursing, Henan Nursing Vocational College, Anyang 455000, China
| | - M He
- Department of Nursing, Henan Nursing Vocational College, Anyang 455000, China
| | - Y Chen
- Nursing Department, Fujian Provincial Hospital, Fuzhou 350001, China
| | - X M Shen
- Teaching Department, Anyang District Hospital, Anyang 455000, China
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Abratenko P, Andrade Aldana D, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hicks R, Hilgenberg C, Horton-Smith GA, Irwin B, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Miller K, Mills J, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Nunes M, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Pophale I, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, John JS, Strauss T, Sword-Fehlberg S, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Measurement of Quasielastic Λ Baryon Production in Muon Antineutrino Interactions in the MicroBooNE Detector. Phys Rev Lett 2023; 130:231802. [PMID: 37354393 DOI: 10.1103/physrevlett.130.231802] [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: 12/16/2022] [Revised: 04/07/2023] [Accepted: 04/28/2023] [Indexed: 06/26/2023]
Abstract
We present the first measurement of the cross section of Cabibbo-suppressed Λ baryon production, using data collected with the MicroBooNE detector when exposed to the neutrinos from the main injector beam at the Fermi National Accelerator Laboratory. The data analyzed correspond to 2.2×10^{20} protons on target running in neutrino mode, and 4.9×10^{20} protons on target running in anti-neutrino mode. An automated selection is combined with hand scanning, with the former identifying five candidate Λ production events when the signal was unblinded, consistent with the GENIE prediction of 5.3±1.1 events. Several scanners were employed, selecting between three and five events, compared with a prediction from a blinded Monte Carlo simulation study of 3.7±1.0 events. Restricting the phase space to only include Λ baryons that decay above MicroBooNE's detection thresholds, we obtain a flux averaged cross section of 2.0_{-1.7}^{+2.2}×10^{-40} cm^{2}/Ar, where statistical and systematic uncertainties are combined.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Hicks
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Nunes
- Syracuse University, Syracuse, New York 13244, USA
| | - N Oza
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I D Ponce-Pinto
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Hu H, Xie P, Li C, Ni S, Wang H, Li A, Wei H, Li W. Evaluation of CT angiography obstruction score and pulmonary perfusion defect score using the third-generation dual-source CT for pulmonary embolism. Clin Radiol 2023:S0009-9260(23)00216-7. [PMID: 37331850 DOI: 10.1016/j.crad.2023.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/07/2023] [Accepted: 04/25/2023] [Indexed: 06/20/2023]
Abstract
AIM To investigate the application value of computed tomography (CT) angiography (CTA) obstruction score and pulmonary perfusion defect score on the third-generation dual-source CT for pulmonary embolism and the changes of the right ventricular function. MATERIALS AND METHODS The clinical data of 52 patients with pulmonary embolism (PE) confirmed using the third-generation dual-source dual-energy CTPA were analysed retrospectively. These patients were divided into the severe group and non-severe group according to their clinical manifestations. The results of CTPA and dual-energy pulmonary perfusion imaging (DEPI) were recorded by two radiologists for index computation. The ratio of the maximum short-axis diameter of the right ventricle (RV) to that of the left ventricle (LV) was also recorded. The correlation analysis between RV/LV and the mean values of CTA obstruction score and perfusion defect score was performed. Correlation analysis and agreement analysis were performed on the data measured by two radiologists, CTA obstruction score, and pulmonary perfusion defect score. RESULTS CTA obstruction score and perfusion defect score measured by the two radiologists had good correlation and agreement. CTA obstruction score, perfusion defect score, and RV/LV were significantly lower in the non-severe group than in the severe PE group. RV/LV had a significant positive correlation with CTA obstruction score and perfusion defect score (p<0.05). CONCLUSION The third-generation dual-source dual-energy CT plays a positive role in assessing PE severity and RV function and can provide additional information for the clinical management and treatment of PE patients.
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Affiliation(s)
- H Hu
- CT Room, The First People's Hospital of Lanzhou City, Lanzhou 730050, China
| | - P Xie
- Department of Radiation Oncology, The First Hospital of Lanzhou University, Lanzhou 730030, China
| | - C Li
- Department of Neurology, The First People's Hospital of Lanzhou City, Lanzhou 730050, China
| | - S Ni
- Department of Gastroenterology, The First People's Hospital of Lanzhou City, Lanzhou 730050, China
| | - H Wang
- CT Room, The First People's Hospital of Lanzhou City, Lanzhou 730050, China
| | - A Li
- CT Room, The First People's Hospital of Lanzhou City, Lanzhou 730050, China
| | - H Wei
- Department of Cardiology, The First People's Hospital of Lanzhou City, Lanzhou 730050, China.
| | - W Li
- CT Room, The First People's Hospital of Lanzhou City, Lanzhou 730050, China.
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Li K, Chen L, Wang K, Jiang X, Ji Y, Fang S, Wei H. Emotional problems mediate the association between attention deficit/hyperactivity disorder and obesity in adolescents. BMC Psychiatry 2023; 23:381. [PMID: 37259044 DOI: 10.1186/s12888-023-04882-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/17/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Attention deficit/hyperactivity disorder (ADHD) has been identified as a risk factor for obesity in both children and adolescents. However, the mechanisms underlying the relationship between ADHD and obesity are still unclear. This study aimed to test a theoretical model of whether anxiety/depression is an intermediary factor in the ADHD-obesity relationship. METHODS Data were derived from the National Health Interview Survey (NHIS), a principal source of information on the health of the civilian noninstitutionalized population of the United States. A total of 35,108 adolescents aged 12-17 years old from 2010-2015 NHIS and 2016-2018 NHIS representing 46,550,729 individuals in the weighted population, had a parent-reported previous ADHD diagnosis, emotional problems, and height and weight data. Mediation analyses were used to explore whether anxiety/depression is an intermediary factor in the relationship between ever having ADHD and obesity. Mediation analyses were performed using multiple logistic regressions. RESULTS The findings showed that ADHD was a predictor of obesity. This relationship was partially mediated by depression(2010-2015: β=0.28, 95%CI:0.13-0.43; 2016-2018: β=0.26, 95%CI:0.03-0.49), as well as anxiety (2010-2015: β=0.28, 95%CI:0.18-0.38). CONCLUSIONS Our study suggests the hypothetical role of depression and anxiety as underlying mechanisms in the association between ever having ADHD and obesity in adolescents. When treating children with ADHD, clinicians need to be particularly attentive to whether they show emotional problems and use interventions to eliminate anxiety/depression to protect against obesity.
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Affiliation(s)
- Ke Li
- Department of Child Health Care, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Liangliang Chen
- Department of Developmental and Behavioral Pediatrics, (Fujian Branch of Shanghai Children's Medical Center), Fujian Children's Hospital, Fuzhou, China
| | - Kai Wang
- Department of Pediatrics, 1st Affiliated Hospital to Zhengzhou University, Zhengzhou, China
| | - Xiaodong Jiang
- Rehabilitation Medicine Department, Wuhan Children's Hospital(Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Yiting Ji
- Department of Child and Adolescent Healthcare, Children's Hospital of Soochow University, Suzhou, China
| | - Shuanfeng Fang
- Department of Child Health Care, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
| | - Haiyan Wei
- Department of Endocrinology and Genetic Metabolism, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
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Zhang H, Wong CCL, Wei H, Gilkes DM, Korangath P, Chaturvedi P, Schito L, Chen J, Krishnamachary B, Winnard PT, Raman V, Zhen L, Mitzner WA, Sukumar S, Semenza GL. Retraction Note: HIF-1-dependent expression of angiopoietin-like 4 and L1CAM mediates vascular metastasis of hypoxic breast cancer cells to the lungs. Oncogene 2023:10.1038/s41388-023-02720-8. [PMID: 37221224 DOI: 10.1038/s41388-023-02720-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Affiliation(s)
- H Zhang
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- School of Life Science, The University of Science and Technology of China, Hefei, Anhui, China
| | - C C L Wong
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - H Wei
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - D M Gilkes
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - P Korangath
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - P Chaturvedi
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - L Schito
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- University of Rome 'La Sapienza', Rome, Italy
| | - J Chen
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - B Krishnamachary
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - P T Winnard
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - V Raman
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - L Zhen
- Division of Physiology, The Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - W A Mitzner
- Division of Physiology, The Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - S Sukumar
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - G L Semenza
- Vascular Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Departments of Pediatrics, Medicine, Radiation Oncology, and Biological Chemistry, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Du M, Wu S, Su C, Wang X, Li B, Lin Y, Yuan S, Chen Y, Zhu C, Wei H. Serum Vitamin B12 is a Promising Auxiliary Index for the Diagnosis of Methylmalonic Acidemia in Children: A Single Center Study in China. Clin Chim Acta 2023; 546:117409. [PMID: 37217112 DOI: 10.1016/j.cca.2023.117409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/25/2023] [Accepted: 05/19/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND AND AIMS Vitamin B12 (cobalamin, VitB12) is an essential coenzyme of methylmalonyl-CoA mutase and methionine synthase. Variations in VitB12 metabolism, absorption, transport, or intake may cause changes in methylmalonic acidemia (MMA) biomarkers. We aimed to investigate whether serum Vitamin B12 levels could be used in the early detection of MMA. MATERIALS AND METHODS We included 241 children with MMA and 241 healthy matched controls. We measured serum VitB12 levels by an enzyme immunoassay and investigated the relationship between abnormal VitB12 levels and hematologic parameters as potential risk factors for MMA symptoms. RESULTS Compared with controls, the serum levels of VitB12 were increased in the MMA group (p < 0.001). Serum VitB12 distinguished patients with MMA from healthy children (p < 0.001). Serum VitB12 combined with homocysteine and ammonia identified cblC and mut type MMA, respectively (p < 0.001). Homocysteine, folate, ammonia, NLR, and red blood cells contributed to serum VitB12 in cblC type MMA (p < 0.001); homocysteine, ammonia, and red blood cells, contributed in mut type MMA (p < 0.001); and elevated VitB12 was an independent predictor of MMA clinical onset (p < 0.001). CONCLUSION Serum VitB12 can be used as an early diagnostic biomarker for MMA in children.
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Affiliation(s)
- Mengmeng Du
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China; Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
| | - Shengnan Wu
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China.
| | - Chang Su
- Department of Endocrinology, Genetic and Metabolism, Beijing Children's Hospital, Capital Medical University, Beijing, China.
| | - Xiaohong Wang
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China.
| | - Bingbing Li
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
| | - Yifan Lin
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China.
| | - Shuxian Yuan
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China.
| | - Yongxing Chen
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China.
| | - Changlian Zhu
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China; Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Sweden.
| | - Haiyan Wei
- Children's Hospital Affiliated to Zhengzhou University, Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital, Zhengz- hou Children's Hospital, Zhengzhou, China.
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Zhang M, Meng X, Li N, Zou W, Wei H, Liu R, Sun Y, Chen W, Cui J, Wang C. Integration of solid-phase microextraction and surface-enhanced Raman spectroscopy for in-vivo screening of polybrominated diphenyl ether. Spectrochim Acta A Mol Biomol Spectrosc 2023; 293:122476. [PMID: 36787678 DOI: 10.1016/j.saa.2023.122476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/21/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
The monitoring of polybrominated diphenyl ethers (PBDEs) is of great significance owing to their high persistence, bioaccumulation, and toxicity to humans and animals. In this study, a sensitive and reproducible probe that integrates solid-phase microextraction and surface-enhanced Raman spectroscopy (SPME-SERS) was developed for screening PBDEs in multiphase specimens, including live fish, water, and electrical products. A roughed Cu fiber with an Ag layer was fabricated with dual functions. BDE-15 was readily extracted and detected on the SPME-SERS probe consisting of propanethiol-modified Ag nanoplates on a Cu wire. A clear linear relationship (R2 = 0.988) was established between the SERS intensity at 782 cm-1 and the logarithmic concentrations (from 100 ppb to 100 ppm), with a detection limit of 15 ppb. This proposed method enables continuous in vivo monitoring in fish without complicated pretreatments. The results obtained by this SPME-SERS approach were validated by high-performance liquid chromatography and showed good agreement. This "extracting and detecting" SPME-SERS method provides a potential tool to monitor the occurrence, formation, and migration of PBDEs.
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Affiliation(s)
- Mengping Zhang
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China
| | - Xiao Meng
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China
| | - Nianlu Li
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China
| | - Wei Zou
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China
| | - Haiyan Wei
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China
| | - Ranran Liu
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China
| | - Yaxin Sun
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, PR China
| | - Wenwen Chen
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China
| | - Jingcheng Cui
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan 250101, Shandong, China.
| | - Cuijuan Wang
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, PR China.
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Zheng J, Wei H, Chen R, Liu J, Wang L, Gu W. Invasive Trends of Spartina alterniflora in the Southeastern Coast of China and Potential Distributional Impacts on Mangrove Forests. Plants (Basel) 2023; 12:1923. [PMID: 37653840 PMCID: PMC10222674 DOI: 10.3390/plants12101923] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/26/2023] [Accepted: 05/04/2023] [Indexed: 09/02/2023]
Abstract
Mangrove forests are one of the most productive and seriously threatened ecosystems in the world. The widespread invasion of Spartina alterniflora has seriously imperiled the security of mangroves as well as coastal mudflat ecosystems. Based on a model evaluation index, we selected RF, GBM, and GLM as a predictive model for building a high-precision ensemble model. We used the species occurrence records combined with bioclimate, sea-land topography, and marine environmental factors to predict the potentially suitable habitats of mangrove forests and the potentially suitable invasive habitats of S. alterniflora in the southeastern coast of China. We then applied the invasion risk index (IRI) to assess the risk that S. alterniflora would invade mangrove forests. The results show that the suitable habitats for mangrove forests are mainly distributed along the coastal provinces of Guangdong, Hainan, and the eastern coast of Guangxi. The suitable invasive habitats for S. alterniflora are mainly distributed along the coast of Zhejiang, Fujian, and relatively less in the southern provinces. The high-risk areas for S. alterniflora invasion of mangrove forests are concentrated in Zhejiang and Fujian. Bioclimate variables are the most important variables affecting the survival and distribution of mangrove forests and S. alterniflora. Among them, temperature is the most important environmental variable determining the large-scale distribution of mangrove forests. Meanwhile, S. alterniflora is more sensitive to precipitation than temperature. Our results can provide scientific insights and references for mangrove forest conservation and control of S. alterniflora.
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Affiliation(s)
- Jiaying Zheng
- School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China; (J.Z.); (R.C.)
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, Shaanxi Normal University, Xi’an 710119, China
| | - Haiyan Wei
- School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China; (J.Z.); (R.C.)
| | - Ruidun Chen
- School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China; (J.Z.); (R.C.)
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, Shaanxi Normal University, Xi’an 710119, China
| | - Jiamin Liu
- School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China; (J.Z.); (R.C.)
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, Shaanxi Normal University, Xi’an 710119, China
| | - Lukun Wang
- School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China; (J.Z.); (R.C.)
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, Shaanxi Normal University, Xi’an 710119, China
| | - Wei Gu
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, Shaanxi Normal University, Xi’an 710119, China
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China
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Chen L, Guo L, Deng X, Pan X, Liao P, Xiong Q, Gao H, Wei H, Dai Q, Zeng Y, Zhang H. Effects of biochar on rice yield, grain quality and starch viscosity attributes. J Sci Food Agric 2023. [PMID: 37079446 DOI: 10.1002/jsfa.12647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 03/26/2023] [Accepted: 04/20/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Biochar can play a key role in improving paddy soil and productivity. However, there is limited information on the effects of biochar on rice quality and starch gelatinization. In this study, four rice straw biochar dosage treatments (0, 20, 40 and 60 g kg-1 ; CK, C20, C40 and C60, respectively) were set up to investigate rice yield components, rice processing, appearance and cooking quality, and starch gelatinization. RESULTS Addition of biochar increased the effective panicle, grain number per panicle, and seed setting rate. However, it decreased the 1000-grain weight, resulting in an increase in yield. In 2019, all the biochar treatments improved the head rice rate (9.13%-11.42%), whereas in 2020 only the C20 treatment improved. Low biochar dosage had little effect on grain appearance. High biochar dosage significantly decreased the chalky rice rate by 21.47% and chalkiness by 19.44% in 2019. However, it significantly increased the chalky rice rate and chalkiness by 118.95% and 85.45% in 2020, respectively. Biochar significantly lowered the amylose content except for the C20 and C40 treatments in 2020, and the gel consistency. The C40 and C60 treatments significantly increased the peak and breakdown viscosities and decreased the setback viscosity compared with CK. The correlation analysis showed that starch gelatinization characteristics were significantly correlated with the head rice rate, chalky rate and amylose content. CONCLUSION A lower biochar dosage can improve the yield and milled rice rate and maintain a higher quality of appearance, whereas a higher biochar dosage can significantly improve starch gelatinization. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Le Chen
- Jiangsu Key Laboratory of Crop Genetics and Physiology & Jiangsu Key Laboratory of Crop Cultivation and Physiology & Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops & Research Institute of Rice Industrial Engineering Technology, Yangzhou University, Yangzhou, 225009, China
- Ministry of Education, Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Lin Guo
- Ministry of Education, Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Jiangxi Agricultural University, Nanchang, 330045, China
- Jiangxi, Dengjiabu Rice Seed Stock Station, Yingtan, 335200, China
| | - Xueyun Deng
- Ministry of Education, Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Xiaohua Pan
- Ministry of Education, Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Ping Liao
- Jiangsu Key Laboratory of Crop Genetics and Physiology & Jiangsu Key Laboratory of Crop Cultivation and Physiology & Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops & Research Institute of Rice Industrial Engineering Technology, Yangzhou University, Yangzhou, 225009, China
| | - Qiangqiang Xiong
- Jiangsu Key Laboratory of Crop Genetics and Physiology & Jiangsu Key Laboratory of Crop Cultivation and Physiology & Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops & Research Institute of Rice Industrial Engineering Technology, Yangzhou University, Yangzhou, 225009, China
| | - Hui Gao
- Jiangsu Key Laboratory of Crop Genetics and Physiology & Jiangsu Key Laboratory of Crop Cultivation and Physiology & Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops & Research Institute of Rice Industrial Engineering Technology, Yangzhou University, Yangzhou, 225009, China
| | - Haiyan Wei
- Jiangsu Key Laboratory of Crop Genetics and Physiology & Jiangsu Key Laboratory of Crop Cultivation and Physiology & Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops & Research Institute of Rice Industrial Engineering Technology, Yangzhou University, Yangzhou, 225009, China
| | - Qigen Dai
- Jiangsu Key Laboratory of Crop Genetics and Physiology & Jiangsu Key Laboratory of Crop Cultivation and Physiology & Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops & Research Institute of Rice Industrial Engineering Technology, Yangzhou University, Yangzhou, 225009, China
| | - Yongjun Zeng
- Ministry of Education, Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Hongcheng Zhang
- Jiangsu Key Laboratory of Crop Genetics and Physiology & Jiangsu Key Laboratory of Crop Cultivation and Physiology & Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops & Research Institute of Rice Industrial Engineering Technology, Yangzhou University, Yangzhou, 225009, China
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Han M, Zhang J, Wei H, Zou W, Zhang M, Meng X, Chen W, Shao H, Wang C. Rapid and Robust Analysis of Coumatetralyl in Environmental Water and Human Urine Using a Portable Raman Spectrometer. ACS Omega 2023; 8:12878-12885. [PMID: 37065026 PMCID: PMC10099114 DOI: 10.1021/acsomega.3c00005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 03/22/2023] [Indexed: 06/19/2023]
Abstract
The widespread use and exposure of coumatetralyl (CMTT) has led to its accumulation in the environment and organisms, causing damage to ecosystems and adverse health effects in humans. Unfortunately, achieving fast detection of CMTT remains challenging. Herein, a rapid and robust surface-enhanced Raman spectroscopy (SERS) method was developed for rapid on-site detection of CMTT in environmental water and human urine. Clear trends were observed between the signal intensity and the logarithmic concentration of CMTT, ranging from 0.025 to 5.0 μg/mL with high reproducibility. The detection limits in water and human urine were as low as 1.53 and 13.71 ng/mL, respectively. The recoveries of CMTT for environmental water and urine samples were 90.2-98.2 and 82.0-87.5%, respectively, satisfactory for practical applications. The quantitative results of this approach were highly comparable to those obtained by high-performance liquid chromatography. Most importantly, it is cost-effective, operationally simple, and without a complicated sample preparation step. Detecting CMTT in water samples took only 5 min, and the detection of urine samples was completed within 8 min. This simple yet practical SERS approach offers a reliable application prospect for on-site CMTT detection in environmental water and point-of-care monitoring of poisoned patients.
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Lin Y, Yang H, Yuan S, Li D, Wei H, Ma X. [Genetic analysis of a case with 11β hydroxylase deficiency caused by CYP11B2/CYP11B1 chimeric gene]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2023; 40:462-467. [PMID: 36972943 DOI: 10.3760/cma.j.cn511374-20220902-00598] [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: 03/29/2023]
Abstract
OBJECTIVE To analyze a child with 11β hydroxylase deficiency (11β-OHD) due to CYP11B2/CYP11B1 chimeric gene. METHODS Clinical data of the child who was admitted to Henan Children's Hospital on August 24, 2020 were retrospectively analyzed. Peripheral blood samples of the child and his parents were collected and subjected to whole exome sequencing (WES). Candidate variant was verified by Sanger sequencing. RT-PCR and Long-PCR were carried out to verify the presence of chimeric gene. RESULTS The patient, a 5-year-old male, had featured premature development of secondary sex characteristics and accelerated growth, and was diagnosed with 21 hydroxylase deficiency (21-OHD). WES revealed that he has harbored a heterozygous c.1385T>C (p.L462P) variant of the CYP11B1 gene, in addition to a 37.02 kb deletion on 8q24.3. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the c.1385T>C (p.L462P) was rated as a likely pathogenic variant (PM2_Supporting+PP3_Moderate+PM3+PP4). The results of RT-PCR and Long-PCR suggested that CYP11B1 and CYP11B2 genes have recombined to form a CYP11B2 exon 1~7/CYP11B1 exon 7~9 chimeric gene. The patient was diagnosed as 11β-OHD and effectively treated with hydrocortisone and triptorelin. A healthy fetus was delivered following genetic counseling and prenatal diagnosis. CONCLUSION 11β-OHD may be misdiagnosed as 21-OHD due to the potential CYP11B2/CYP11B1 chimeric gene, which will require multiple methods for the detection.
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Affiliation(s)
- Yifan Lin
- Department of Endocrinology, Genetics and Metabolism, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou, Henan 450018, China.
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Li W, Wei H, Li N, Li S, Liu Y, Liu R, Zou W, Hu P, Zhang Z, Wang C. Rapid identification and quantification of diquat in biological fluids within 30 s using a portable Raman spectrometer. Biosens Bioelectron 2023; 225:115083. [PMID: 36716572 DOI: 10.1016/j.bios.2023.115083] [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: 09/10/2022] [Revised: 11/29/2022] [Accepted: 01/14/2023] [Indexed: 01/22/2023]
Abstract
Rapid detection of diquat (DQ) is essential in clinical diagnosis and rescue. Here, we developed a fast, simple-yet-practical detection strategy for the reliable identification and quantification of DQ in biological fluids. Based on surface-enhanced Raman spectroscopy (SERS), point-of-care detection was realized under the acidic condition with gold nanoparticles as the substrate. Under optimal experimental conditions, the detection limits of the strategy were 17.5 ppb and 1.99 ppm in human urine and gastric juice, respectively. High specificity and selectivity of the SERS strategy were demonstrated using common pesticides and coexisting biological substances. The method was also used to detect biofluids from 5 patients and urine samples from 10 healthy volunteers. The results were in high agreement with spectrophotometric and clinical liquid chromatography-mass spectrometry methods. The volume of urine samples required for this technique is merely 20 μL, and no preparation of the samples is required. Compared to traditional methods used in clinical settings, SERS-based methods are capable of real-time measurements that accurately provide rapid detection and response in non-laboratory settings, with great potential for on-site and point-of-care testing.
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Affiliation(s)
- Wanru Li
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China
| | - Haiyan Wei
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China
| | - Nianlu Li
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China
| | - Shunyu Li
- Emergency Department, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Yaru Liu
- Emergency Intensive Care Unit, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Ranran Liu
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China
| | - Wei Zou
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China
| | - Peishan Hu
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China
| | - Zhihu Zhang
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China.
| | - Cuijuan Wang
- Physical and Chemical Laboratory, Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, PR China.
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Huang W, Wei H, Wang C, Wang J, Chen L, Chen W, Liu Y, Zheng Y, Lin M. [Establishment and preliminary evaluation of a fluorescent recombinase-aided amplification/CRISPR-Cas12a system for rapid detection of Plasmodium falciparum]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:38-43. [PMID: 36974013 DOI: 10.16250/j.32.1374.2022240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
OBJECTIVE To establish a fluorescent assay for rapid detection of Plasmodium falciparum based on recombinaseaided amplification (RAA) and CRISPR-Cas12a system,and to preliminarily evaluate the diagnostic efficiency of this system. METHODS The 18S ribosomal RNA (rRNA) gene of P. falciparum was selected as the target sequence, and three pairs of RAA primers and CRISPR-derived RNA (crRNA) were designed and synthesized. The optimal combination of RAA primers and crRNA was screened and the reaction conditions of the system were optimized to create a fluorescent RAA/CRISPR-Cas12a system. The plasmid containing 18S rRNA gene of the P. falciparum strain 3D7 was generated, and diluted into concentrations of 1 000, 100, 10, 1 copy/μL for the fluorescent RAA/CRISPR-Cas12a assay, and its sensitivity was evaluated. The genomic DNA from P. vivax, P. malariae, P. ovum, hepatitis B virus, human immunodeficiency virus and Treponema pallidum was employed as templates for the fluorescent RAA/CRISPR-Cas12a assay, and its specificity was evaluated. Fifty malaria clinical samples were subjected to the fluorescent RAA/CRISPR-Cas12a assay and nested PCR assay, and the consistency between two assays was compared. In addition, P. falciparum strain 3D7 was cultured in vitro. Then, the culture was diluted into blood samples with parasite densities of 1 000, 500, 200, 50, 10 parasites/μL with healthy volunteers' O-positive red blood cells for the RAA/CRISPR-Cas12a assay, and the detection efficiency was tested. RESULTS The Pf-F3/Pf-R3/crRNA2 combination, 2.5 μL as the addition amount of B buffer, 40 min as the RAA reaction time, 37 °C as the reaction temperature of the CRISPR-Cas12a system were employed to establish the fluorescent RAA/CRISPR-Cas12a system. Such a system was effective to detect the plasmid containing 18S rRNA gene of the P. falciparum strain 3D7 at a concentration of 1 copy/μL, and presented fluorescent signals for detection of P. falciparum, but failed to detect P. ovum, P. malariae, P. vivax, T. pallidum, hepatitis B virus or human immunodeficiency virus. The fluorescent RAA/CRISPR-Cas12a system and nested PCR assay showed completely consistent results for detection of 50 malaria clinical samples (kappa = 1.0, P < 0.001). Following 6-day in vitro culture of the P. falciparum strain 3D7, 10 mL cultures were generated and the fluorescent RAA/CRISPR-Cas12a system showed the minimal detection limit of 50 parasites/μL. CONCLUSIONS The fluorescent RAA/CRISPR-Cas12a system is rapid, sensitive and specific for detection of P. falciparum, which shows promising value for rapid detection and risk monitoring of P. falciparum.
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Affiliation(s)
- W Huang
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - H Wei
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - C Wang
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - J Wang
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - L Chen
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - W Chen
- Department of Laboratory Medicine, Chaozhou People's Hospital Affiliated to Shantou University, Chaozhou, Guangdong 521000, China
| | - Y Liu
- College of Life Science and Food Engineering, Hanshan Normal University, Chaozhou, Guangdong 521000, China
| | - Y Zheng
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
- College of Life Science and Food Engineering, Hanshan Normal University, Chaozhou, Guangdong 521000, China
| | - M Lin
- School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
- College of Life Science and Food Engineering, Hanshan Normal University, Chaozhou, Guangdong 521000, China
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Sui A, Yao C, Chen Y, Li Y, Yu S, Qu J, Wei H, Tang J, Chen G. Polystyrene nanoplastics inhibit StAR expression by activating HIF-1α via ERK1/2 MAPK and AKT pathways in TM3 Leydig cells and testicular tissues of mice. Food Chem Toxicol 2023; 173:113634. [PMID: 36709824 DOI: 10.1016/j.fct.2023.113634] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/07/2023] [Accepted: 01/22/2023] [Indexed: 01/27/2023]
Abstract
Microplastics (MPs) and nanoplastics (NPs) are widely found in water, food and air, and have been found in human blood, lung and feces. Several studies in vivo have shown that MPs and NPs decrease testosterone level. However, the molecular mechanism of MPs and NPs leading to testosterone reduction remains unclear. In the present study, mice were treated with 50 μg/kg·day polystyrene (PS)-NPs by tail vein injection once daily for two consecutive days, the mRNA and protein levels of steroidogenic acute regulatory protein (StAR) decreased significantly in testis. TM3 Leydig cells were treated with non-toxic doses of PS-NPs, hypoxia-inducible factor-1α (HIF-1α) mRNA translation was induced by PS-NPs through mTOR/4E-BP1 pathway, which was activated by the ERK1/2 MAPK and AKT pathways. Simultaneously, increased HIF-1α protein inhibited StAR transcription. Additionally, reactive oxygen species production induced by PS-NPs played a central role in the activation of ERK1/2 MAPK/mTOR and AKT/mTOR signaling pathways. These results suggest that PS-NPs down-regulate StAR expression by increasing HIF-1α, which is induced by activation of mTOR/4E-BP1 through the ERK1/2 MAPK and AKT signaling pathways. Our findings provide new insight into the potential molecular mechanism by which PS-NPs impair testosterone synthesis and male reproductive function.
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Affiliation(s)
- Aiyi Sui
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China
| | - Chenjuan Yao
- Department of Molecular Oral Physiology, Institute of Health Biosciences, University of Tokushima Graduate School, Tokushima-Shi, Tokushima, 770-8504, Japan
| | - Yanhong Chen
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China
| | - Yanli Li
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China
| | - Shali Yu
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China
| | - Jianhua Qu
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China
| | - Haiyan Wei
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China
| | - Juan Tang
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China.
| | - Gang Chen
- Department of Occupational Medicine and Environmental Toxicology, College of Public Health, Nantong University, Nantong, Jiangsu, 226019, China.
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Li X, Feng B, Qiao S, Wei H, Feng C. SIFT-GVF-based lung edge correction method for correcting the lung region in CT images. PLoS One 2023; 18:e0282107. [PMID: 36854040 PMCID: PMC9974113 DOI: 10.1371/journal.pone.0282107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023] Open
Abstract
Juxtapleural nodules were excluded from the segmented lung region in the Hounsfield unit threshold-based segmentation method. To re-include those regions in the lung region, a new approach was presented using scale-invariant feature transform and gradient vector flow models in this study. First, the scale-invariant feature transform method was utilized to detect all scale-invariant points in the binary lung region. The boundary points in the neighborhood of a scale-invariant point were collected to form the supportive boundary lines. Then, we utilized a Fourier descriptor to obtain a character representation of each supportive boundary line. Spectrum energy recognizes supportive boundaries that must be corrected. Third, the gradient vector flow-snake method was presented to correct the recognized supportive borders with a smooth profile curve, giving an ideal correction edge in those regions. Finally, the performance of the proposed method was evaluated through experiments on multiple authentic computed tomography images. The perfect results and robustness proved that the proposed method could correct the juxtapleural region precisely.
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Affiliation(s)
- Xin Li
- College of Information Science and Technology, Taishan University, Taian, P. R. China
| | - Bin Feng
- College of Information Science and Technology, Taishan University, Taian, P. R. China
| | - Sai Qiao
- College of Information Science and Technology, Taishan University, Taian, P. R. China
| | - Haiyan Wei
- College of Teacher and Education, Taishan University, Taian, P. R. China
| | - Changli Feng
- College of Information Science and Technology, Taishan University, Taian, P. R. China
- * E-mail:
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Fan P, Xu J, Wang Z, Liu G, Zhang Z, Tian J, Wei H, Zhang H. Phenotypic differences in the appearance of soft rice and its endosperm structural basis. Front Plant Sci 2023; 14:1074148. [PMID: 36818874 PMCID: PMC9929301 DOI: 10.3389/fpls.2023.1074148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 01/09/2023] [Indexed: 06/18/2023]
Abstract
In view of the significant differences among genotypes in the appearance of soft rice, it is necessary to conduct research on the differences in the appearance quality of soft rice and their mechanisms. It can provide a theoretical basis for the selection and breeding of superior appearance varieties at a later stage. In order to clarify the differences in appearance phenotypes between different soft rice genotypes and structural basis of endosperm structures behind the differences, four soft rice varieties were selected in this study, including two varieties with good-appearance and two varieties with cloudy appearance. The differences in appearance phenotypes and endosperm structure in mature grains of soft rice with different appearance phenotypes were scientifically analyzed. The development process of their endosperm differences at the filling stage was investigated. The results show that the difference in the rice appearance of soft rice varieties mainly lay in the chalk-free seed transparency and chalkiness. These differences were caused by two completely different types of endosperm structure. Fewer and smaller starch grain cavities were responsible for higher chalk-free transparency of soft rice grains, denser starch granules arrangement caused lower chalkiness of soft rice grains. Ten days after flowering, the starch granules in the back and heart of good-appearance soft rice were already significantly fuller and more closely packed than those of cloudy soft rice. At the same time, the number and area of starch granule holes were significantly smaller than those of cloudy soft rice. This difference gradually increased until maturity. Therefore, based on appearance evaluation, soft rice with good-appearance should have higher transparency and lower chalkiness. The endosperm starch granules should be full and tightly arranged. The number of starch grain cavities and the area should be smaller. These differences develop in the early stages of grouting and gradually increase.
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Affiliation(s)
| | | | | | | | | | | | - Haiyan Wei
- *Correspondence: Haiyan Wei, ; Hongcheng Zhang,
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Huang A, Chen Q, Yang W, Cui Y, Wang Q, Wei H. Clinical characteristics of 683 children and adolescents, aged 0-18 years, newly diagnosed with type 1 diabetes mellitus in Henan Province: a single-center study. BMC Pediatr 2023; 23:39. [PMID: 36683033 PMCID: PMC9869500 DOI: 10.1186/s12887-023-03847-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 01/12/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Type 1 diabetes mellitus (T1DM) is a common chronic systemic disease that threatens the health of children worldwide. Diabetic ketoacidosis (DKA) is the most severe acute complication of diabetes and can lead to death. This study aimed to explore the epidemiological features, clinical manifestations, and risk factors for DKA in children and adolescents newly diagnosed with T1DM in the Department of Endocrinology of the Children's Hospital of Henan Province. METHODS Medical records of 683 children and adolescents newly diagnosed with T1DM in our center from March 2014 to November 2021 were retrospectively analyzed. The data included the general condition, laboratory indexes, and clinical symptoms. The patients were divided into three groups according to age: Group I, 0-3 years; Group II, 4-9 years; and Group III, 10-18 years. RESULTS The incidence of DKA was 62.96% and was highest in Group I. Group I had the lowest C-peptide and hemoglobin A1c, but the highest blood glucose at first diagnosis, and 25-hydroxyvitamin D3 levels, hospitalization lengths, and medical costs. 25.5% of the children were delayed in diagnosis. Logistic regression analysis showed that elevated HbA1c levels and hyperglycemia were independent risk factors for DKA. On the other hand, C-peptide and 25- hydroxyvitamin D were protective factors for DKA. CONCLUSIONS The incidence of DKA among children and adolescents in the Henan Province is very high. Moreover, DKA can be easily delayed in diagnosis. Newly diagnosed infants with T1DM are more likely to present with DKA, suffer more severe metabolic disorders, endure longer hospital stays, and accrue higher medical costs.
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Affiliation(s)
- Ai Huang
- Department of Endocrinology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, 33 Longhu Outer Ring East Road, Zhengzhou, Henan, 450018, People's Republic of China
| | - Qiong Chen
- Department of Endocrinology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, 33 Longhu Outer Ring East Road, Zhengzhou, Henan, 450018, People's Republic of China
| | - Wei Yang
- Department of Endocrinology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, 33 Longhu Outer Ring East Road, Zhengzhou, Henan, 450018, People's Republic of China
| | - Yan Cui
- Department of Endocrinology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, 33 Longhu Outer Ring East Road, Zhengzhou, Henan, 450018, People's Republic of China
| | - Qingzhi Wang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Haiyan Wei
- Department of Endocrinology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, 33 Longhu Outer Ring East Road, Zhengzhou, Henan, 450018, People's Republic of China.
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Hou L, Huang K, Gong C, Luo F, Wei H, Liang L, Du H, Zhang J, Zhong Y, Chen R, Chen X, Pan J, Jin X, Zeng T, Liao W, Liu D, Lan D, Zhu S, Dong Z, Ma H, Yang Y, Xiong F, Mb PL, Cheng S, Gu X, Jin R, Liu Y, Wu J, Xu X, Chen L, Dong Q, Pan H, Su Z, Liu L, Luo X, Ni S, Chen Z, Hu Y, Wang C, Liu J, Liu L, Lu B, Wang X, Wang Y, Yang F, Zhang M, Cao L, Liu G, Yao H, Zhang Y, Dai M, Li G, Li L, Liu Y, Wang K, Xiao Y, Zhang X, Dong J, Gu Z, Ying L, Huang F, Liu Y, Liu Z, Ye J, Zhao D, Hu X, Jiang Z, Ye K, Zhu H, Chen S, Chen X, Wan N, Xu Z, Yin Q, Zhang H, Huang X, Yin J, Zhang H, Li P, Yin P, Fu J, Luo X. Long-term pegylated growth hormone for children with growth hormone deficiency: a large, prospective, real-world study. J Clin Endocrinol Metab 2023:6994549. [PMID: 36669772 DOI: 10.1210/clinem/dgad039] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 01/18/2023] [Accepted: 01/18/2023] [Indexed: 01/22/2023]
Abstract
CONTEXT The evidence of long-term polyethylene glycol recombinant human growth hormone (PEG-rhGH) in pediatric growth hormone deficiency (GHD) is limited. OBJECTIVE This study aimed to examine the effectiveness and safety of long-term PEG-rhGH in children with GHD in real world, as well as to examine the effects of dose on patient outcomes. DESIGN A prospective, observational, post-trial study (NCT03290235). SETTING, PARTICIPANTS AND INTERVENTION Children with GHD were enrolled from 81 centers in China in four individual clinical trials, and received weekly 0.2 mg/kg/week (high-dose) or 0.1-<0.2 mg/kg/week (low-dose) PEG-rhGH for 30 months. MAIN OUTCOMES MEASURES Height standard deviation score (Ht SDS) at 12, 24, and 36 months. RESULTS A total of 1170 children were enrolled in this post-trial study, with 642 patients in the high-dose subgroup and 528 in the low-dose subgroup, respectively. The Ht SDS improved significantly after treatment in the total population (P < 0.0001), with a mean change of 0.53 ± 0.30, 0.89 ± 0.48, 1.35 ± 0.63, 1.63 ± 0.75 at 6 months, 12 months, 24 months, and 36 months, respectively. Besides, the changes in Ht SDS from baseline was significantly improved in the high-dose subgroup than in the low-dose subgroup at 6, 12, 24 and 36 months after treatment (all P < 0.05). A total of 12 (1.03%) patients developed serious AEs. There was no serious AE related to the treatment, and no AEs leading to treatment discontinuation or death occurred. CONCLUSIONS PEG-rhGH showed long-term effectiveness and safety in treating children with GHD. Both dose subgroups showed promising outcomes, while PEG-rhGH 0.2 mg/kg/week might show additional benefit.
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Affiliation(s)
- Ling Hou
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ke Huang
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - Chunxiu Gong
- Department of Endocrine and Genetics and Metabolism, Beijing Children's Hospital, Capital Medical University, National Centre for Children's Health, Beijing 100045, China
| | - Feihong Luo
- Department of Pediatric Endocrinology and Inherited Metabolic Diseases, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Haiyan Wei
- Department of Endocrinology and Metabolism, Genetics, Henan Children's Hospital (Children's Hospital Affiliated to Zhengzhou University), Zhengzhou 450018, China
| | - Liyang Liang
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Hongwei Du
- Department of Paediatrics, First Hospital of Jilin University, Changchun 130021, China
| | - Jianping Zhang
- Department of Pediatrics, Ningbo Women & Children's Hospital, Ningbo 315012, China
| | - Yan Zhong
- Department of Child Health Care, Hunan Children's Hospital, Changsha 410007, China
| | - Ruimin Chen
- Department of Endocrinology, Genetics and Metabolism, Fuzhou Children's Hospital of Fujian Medical University, Fuzhou 350005, China
| | - Xinran Chen
- Department of Pediatric Endocrine Genetics and Metabolism, Chengdu Women's and Children's Center Hospital, Chengdu 610074, China
| | - Jiayan Pan
- Department of Pediatrics, Wuhu First People's Hospital, Wuhu 241000, China
| | - Xianjiang Jin
- Department of Genetics and Endocrinology, The Second Affiliated Hospital &Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Ting Zeng
- Department of Child Health Care, Liuzhou Maternilty and Child Heulthcare Hospital, Liuzhou, Guangxi 545001, China
| | - Wei Liao
- Department of Pediatrics, First Affiliated Hospital of Army Medical University (Thrid Military Medical University), Chongqing 400038, China
| | - Deyun Liu
- Department of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China
| | - Dan Lan
- Department of Pediatrics, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Shunye Zhu
- Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Zhiya Dong
- Department of Pediatrics, Ruijin Hospital, Shanghai Jiao-Tong University, School of Medicine, Shanghai 200025, China
| | - Huamei Ma
- Department of Pediatrics, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Yu Yang
- Department of Endocrinology and Genetics, Jiangxi Provincial Children's Hospital, Affiliated Children's Hospital of Nanchang University, Nanchang 330006, China
| | - Feng Xiong
- Department of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Ping Lu Mb
- Department of Pediatrics, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Shengquan Cheng
- Department of Pediatrics, First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - Xuefan Gu
- Department of Pediatric Endocrinology and Genetic Metabolism, Xinhua Hospital, Shanghai Institute for Pediatric Research, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China
| | - Runming Jin
- Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yu Liu
- Department of Endocrine and Genetic Metabolism, Maternal and Child Health-Care Hospital in Guiyang, Guiyang 550003, China
| | - Jinzhun Wu
- Department of Pediatrics, the First Affiliated Hospital of Xiamen University, Xiamen 361003, China
| | - Xu Xu
- Department of Endocrinology, Wuxi Children's Hospital, Wuxi 214023, China
| | - Linqi Chen
- Depatment of Endocrinology, Children's Hospital of Soochow University, Suzhou 215025, China
| | - Qin Dong
- Department of Pediatrics, Zhejiang Hospital of Traditional Chinese Medicine, Hangzhou 310000, China
| | - Hui Pan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Zhe Su
- Department of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Shenzhen 518038, China
| | - Lijun Liu
- Department of Endocrinology, Genetics and Metabolism, Hebei Children's Hospital, Shijiazhuang 050031, China
| | - Xiaoming Luo
- Department of Pediatrics, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Shining Ni
- Department of Endocrinology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Zhihong Chen
- Department of Pediatric Endocrinology, Metabolism & Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao 266003, China
| | - Yuhua Hu
- Department of Pediatrics, The First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Chunlin Wang
- Department of Pediatrics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jing Liu
- Department of Pediatrics, Changchun Children's Hospital, Changchun, Jilin 130000, China
| | - Li Liu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou 510623, China
| | - Biao Lu
- Department of Pediatrics, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - Xinli Wang
- Department of Pediatric, Peking University Third Hospital, No.49, Huayuanbei Road, Haidian District, Beijing 100191, China
| | - Yunfeng Wang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing 100029, China
| | - Fan Yang
- Department of Pediatrics, West China Second Hospital, Sichuan University, Chengdu 610041, China
| | - Manyan Zhang
- Department of Pediatrics, Shaoxing Second Hospital, Shaoxing 312000, China
| | - Lizhi Cao
- Department of Pediatrics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - GeLi Liu
- Department of Pediatrics, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hui Yao
- Department of Endocrinology and Metabolism, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430015, China
| | - Yaqin Zhang
- Department of Child Health, Maternal and Child Health Care Hospital of Hainan Province, Haikou 570206, China
| | - Mingjuan Dai
- Department of Pediatrics, Hangzhou First People's Hospital, Hangzhou 310022, China
| | - Guimei Li
- Department of Pediatrics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
| | - Li Li
- Department of Pediatrics, The 1st People's Hospital of Yunnan Province, Kunming 650032, China
| | - Yanjie Liu
- Department of Pediatrics, Inner Mongolia People's Hospital, Hohhot Inner Mongolia 010017, China
| | - Kan Wang
- Department of Pediatrics, Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, China
| | - Yanfeng Xiao
- Department of Pediatrics, The 2nd Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an 710004, China
| | - Xingxing Zhang
- Department of Pediatrics, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Junhua Dong
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Zaiyan Gu
- Department of Pediatrics, Jiaxing First Hospital, Jiaxing 314000, China
| | - Lirong Ying
- Department of Pediatrics, Cixi People's Hospital, Cixi 315300, China
| | - Feng Huang
- Department of Pediatrics, Affiliated Hospital of Nantong University, Nantong 226000, China
| | - Yanling Liu
- Department of Pediatrics, the Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Zheng Liu
- Department of Pediatrics, Tai'an Maternal and Child Health Care Hospital, Tai'an, Shandong 271000, China
| | - Jin Ye
- Department of Pediatrics, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Dongmei Zhao
- Pediatric Research Institute, Qilu Children's Hospital of Shandong University, Jinan, Shandong 250022, China
| | - Xu Hu
- Department of Pediatrics, Lu'an People's Hospital, Lu'an 237000, China
| | - Zhihong Jiang
- Department of Pediatric, The First Affiliated Hospital of He'nan University of Science and Technology, Luoyang 471003, China
| | - Kan Ye
- Department of Child Health, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou 215002, China
| | - Hong Zhu
- Department of Pediatrics, The First People's Hospital of Changzhou, Changzhou 213000, China
| | - Shaoke Chen
- The Second Affiliated Hospital of Guangxi Medical University, Nanning 530005, China
| | - Xiaobo Chen
- Department of Endocrinology, Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - Naijun Wan
- Department of Pediatrics, Jishuitan Hospital, Beijing 100035, China
| | - Zhuangjian Xu
- Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi 214122, China
| | - Qingjin Yin
- Ward 1, Department of Internal Medicine, Chengdu Children's Specialized Hospital, Chengdu 610015, China
| | - Hongxiao Zhang
- Department of Pediatric, Second Hospital of Lanzhou University, Lanzhou 730030, China
| | - Xiaodong Huang
- Department of Endocrinology and Genetics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai 200127, China
| | - Jianying Yin
- Department of Pediatrics, Hebei General Hospital, Shijiazhuang 050051, China
| | - Huifeng Zhang
- Department of Pediatrics, the Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Pin Li
- Department of Endocrinology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200333, China
| | - Ping Yin
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Junfen Fu
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - XiaoPing Luo
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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49
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Meng X, Zhang M, Liu L, Du J, Li N, Zou W, Wang C, Chen W, Wei H, Liu R, Jia Q, Shao H, Lai Y. Rapid and robust analysis of aristolochic acid I in Chinese medicinal herbal preparations by surface-enhanced Raman spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc 2023; 285:121880. [PMID: 36130467 DOI: 10.1016/j.saa.2022.121880] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/22/2022] [Accepted: 09/10/2022] [Indexed: 06/15/2023]
Abstract
The use of Chinese herbs containing aristolochic acid can induce the exchange of adenine and thymine in gene mutations and even cause liver cancer. To eliminate the harm of aristolochic acids (AAs) to humans, a rapid and robust method of AAs screening is a prerequisite. In this work, a facile and robust Surface-enhanced Raman spectroscopy (SERS) method was used for the qualitative and quantitative detection of AAs in Chinese medicinal herbal preparations based on the mandelic acid modified Ag nanoparticles SERS substrate. Qualitative and quantitative SERS detection of Aristolochic acid I (AAI) was achieved with a good linear relationship ranging from 0.2 - 120.0 μM and a limit of detection (LOD) of 0.06 μM. The proposed method demonstrates a refined strategy for sensitivity analysis of AAs with the advantages of easy operation, time-saving, high sensitivity, and molecular specificity, making it a preferred platform for the screening of AAI in regular inspections of herbal products and regulatory supervision of the supply chain.
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Affiliation(s)
- Xiao Meng
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Mengping Zhang
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Lingfei Liu
- Diagnostic Imaging Department, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Jie Du
- Department of Pharmacy, The Third Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250013, China
| | - Nianlu Li
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China; Key Laboratory for Colloid & Interface Chemistry of Education Ministry, Department of Chemistry, Shandong University, Jinan 250100, China
| | - Wei Zou
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Cuijuan Wang
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Wenwen Chen
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Haiyan Wei
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Ranran Liu
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Qiang Jia
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Hua Shao
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Yongchao Lai
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China.
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50
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Han Y, Yu X, Lu Y, Shen Y, Wang X, Wei H, Ni K, Qu J, Chen G. Di-(2-ethylhexyl) phthalate aggravates fine particulate matter-induced asthma in weanling mice due to T follicular helper cell-dependent response. Toxicology 2023; 484:153406. [PMID: 36549504 DOI: 10.1016/j.tox.2022.153406] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 11/15/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
Environmental pollutants fine particulate matter and di-(2-ethylhexyl) phthalate (DEHP) are believed to be the risk factors for childhood asthma. Allergic asthma is basically an immediate hypersensitivity mediated by IgE, the product of humoral immune response. T follicular helper cells (Tfh) have been newly identified as the crucial T helper cells for supporting B cells to produce immunoglobulins in humoral immunity. Tfh cells are therefore potentially to serve as the diagnostic marker and therapeutic target of immune diseases. In this study, we examined the joint effects of fine particulate matter and DEHP on the initiation and progression of asthma and explored the fundamental role of Tfh cells during the process. Weanling C57BL/6 mice (both sexes) were concurrently exposed to DEHP (intragastric administration at 300 μg/kg) and fine atmospheric particulate matter (mean particle diameter < 4 µm, PM4) (oropharyngeal instillation at 2 mg/kg) once every three days for 30 days (10 times). We found that DEHP displayed adjuvant effects to potentiate PM4 allergen-induced expansion of Tfh and plasma cells, production of serum IgE and IgG1, and occurrence of airway hyper-responsiveness and inflammation. Then PM4 and DEHP co-exposure was performed to Cd4 knock-out mice reconstituted with normal wild-type adoptive Tfh cells or non-Tfh cells. The results of immune adoptive transfusion indicated that the joint immunotoxic effects of PM4 and DEHP were dependent on Tfh cells. We further proved that DEHP could adjuvantly boost PM4-induced expression of BCL-6 and c-MAF and secretion of IL-13 and IL-4 in Tfh cells. In conclusion, these data suggest that DEHP metabolites act in an adjuvant-like manner to aggravate PM4 allergen-induced asthma based on anaphylactic IgE response, resulting from excessive IL-13 and IL-4 synthesized by abnormally differentiated Tfh cells.
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Affiliation(s)
- Yu Han
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, College of Public Health, Nantong University, Nantong 226019, Jiangsu, PR China.
| | - Xiangjun Yu
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, College of Public Health, Nantong University, Nantong 226019, Jiangsu, PR China
| | - Ying Lu
- Department of Nutrition and Food Hygiene, College of Public Health, Nantong University, Nantong 226019, Jiangsu, PR China
| | - Yi Shen
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, College of Public Health, Nantong University, Nantong 226019, Jiangsu, PR China
| | - Xiaoying Wang
- Department of Immunology, Medical College, Nantong University, Nantong 226001, Jiangsu, PR China
| | - Haiyan Wei
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, College of Public Health, Nantong University, Nantong 226019, Jiangsu, PR China
| | - Kaihua Ni
- Department of Pediatrics, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu, PR China
| | - Jianhua Qu
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, College of Public Health, Nantong University, Nantong 226019, Jiangsu, PR China.
| | - Gang Chen
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, College of Public Health, Nantong University, Nantong 226019, Jiangsu, PR China.
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