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Wang C, Wang Z, Fu L, Du J, Ji F, Qiu X. CircNRCAM up-regulates NRCAM to promote papillary thyroid carcinoma progression. J Endocrinol Invest 2024; 47:1215-1226. [PMID: 38485895 DOI: 10.1007/s40618-023-02241-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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 11/04/2023] [Indexed: 04/23/2024]
Abstract
PURPOSE Papillary Thyroid Carcinoma (PTC) is the most prevalent subtype of Thyroid Carcinoma (THCA), a type of malignancy in the endocrine system. According to prior studies, Neural Cell Adhesion Molecule (NRCAM) has been found to be up-regulated in PTC and stimulates the proliferation and migration of PTC cells. However, the specific mechanism of NRCAM in PTC cells is not yet fully understood. Consequently, this study aimed to investigate the underlying mechanism of NRCAM in PTC cells, the findings of which could provide new insights for the development of potential treatment targets for PTC. METHODS AND RESULTS Bioinformatics tools were utilized and a series of experiments were conducted, including Western blot, colony formation, and dual-luciferase reporter assays. The data collected indicated that NRCAM was overexpressed in THCA tissues and PTC cells. Circular RNA NRCAM (circNRCAM) was found to be highly expressed in PTC cells and to positively regulate NRCAM expression. Through loss-of-function assays, both circNRCAM and NRCAM were shown to promote the proliferation, invasion, and migration of PTC cells. Mechanistically, this study confirmed that precursor microRNA-506 (pre-miR-506) could bind with m6A demethylase AlkB Homolog 5 (ALKBH5), leading to its m6A demethylation. It was also discovered that circNRCAM could competitively bind to ALKBH5, which restrained miR-506-3p expression and promoted NRCAM expression. CONCLUSION In summary, circNRCAM could up-regulate NRCAM by down-regulating miR-506-3p, thereby enhancing the biological behaviors of PTC cells.
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Affiliation(s)
- C Wang
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Z Wang
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - L Fu
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - J Du
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - F Ji
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - X Qiu
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China.
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Qiu X, Guo JJ, Jin CC, He J, Wang L, Yang BC, Zhang YH, Zhu BS, Tang XH. [Efficiency of CNV-seq in detecting fetal DMD gene deletion or duplication in prenatal diagnosis]. Zhonghua Fu Chan Ke Za Zhi 2024; 59:279-287. [PMID: 38644274 DOI: 10.3760/cma.j.cn112141-20230919-00107] [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: 04/23/2024]
Abstract
Objective: To evaluate the diagnostic efficiency of copy number variation sequencing (CNV-seq) to detect the deletion or duplication of DMD gene in prenatal diagnosis. Methods: A retrospective analysis was carried out on the CNV-seq results of 34 544 fetuses diagnosed in the First People's Hospital of Yunnan Province from January 2018 to July 2023. A total of 156 cases of fetuses were collected, including Group 1:125 cases with family history of Duchenne muscular dystrophy or Becker muscular dystrophy (DMD/BMD), and Group 2:31 cases with no family history but a DMD gene deletion or duplication was detected unexpectedly by CNV-seq. Multiplex ligation-dependent probe amplification (MLPA) was used as a standard method to detect the deletion or duplication. Consistency test was carried out basing on the results of CNV-seq and MLPA of all 156 cases. Results: Comparing to MLPA, CNV-seq had a coincidence rate of 92.3% (144/156) for DMD gene deletion or duplication, with a sensitivity and positive predictive value of 88.2%, with a specificity and negative predictive value of 94.3%, a missed detection rate of 3.8%, and a Kappa value of 0.839. CNV-seq missed 4 cases with deletions and 2 with duplications due to involved fragments less than 100 Kb, among 20 cases of deletions and 6 cases of duplications detected by MLPA in Group 1. In Group 2, the deletions and duplications detected by CNV-seq were 42% (13/31) and 58% (18/31), respectively, in which the percentage of duplication was higher than that in Group 1. Among those 18 cases with duplications, 3 cases with duplication locating in exon 42~67 were likely pathogenic; while 9 cases with duplication covering the 5' or 3' end of the DMD gene, containing exon 1 or 79 and with only one breakpoint within the gene, along with the last 6 cases with duplications locating at chrX: 32650635_32910000 detected only by CNV-seq, which might be judged as variants of uncertain significance. Conclusions: CNV-seq has a good efficiency to detect fetal DMD gene deletion or duplication in prenatal diagnosis, while a further verification test by MLPA is recommended. The duplications on chrX: 32650635_32910000, 5' or 3' end of DMD gene detected by CNV-seq should be carefully verified and assessed because those variants appear to be nonpathogenic polymorphisms.
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Affiliation(s)
- X Qiu
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - J J Guo
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - C C Jin
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - J He
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - L Wang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - B C Yang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - Y H Zhang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - B S Zhu
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - X H Tang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
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Qiu X, Wang W, Yang J, Li D, Jiao J, Wang E, Yuan H. Fulvic Acid Promotes Legume-Rhizobium Symbiosis by Stimulating Endogenous Flavonoids Synthesis and Secretion. J Agric Food Chem 2024; 72:6133-6142. [PMID: 38489511 DOI: 10.1021/acs.jafc.3c08837] [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: 03/17/2024]
Abstract
Fulvic acid (FA) promotes symbiosis between legumes and rhizobia. To elucidate from the aspect of symbiosis, the effects of root irrigation of water-soluble humic materials (WSHM) or foliar spraying of its highly active component, FA, on soybean root exudates and on rhizosphere microorganisms were investigated. As a result, WSHM/FA treatments significantly altered root exudate metabolite composition, and isoflavonoids were identified as key contributors in both treatments compared to the control. Increased expression of genes related to the isoflavonoid biosynthesis were validated by RT-qPCR in both treatments, which notably elevated the synthesis of symbiotic signals genistein, daidzin, coumestrol, and biochanin A. Moreover, the WSHM/FA treatments induced a change in rhizosphere microbial community, coupled with an increase in the relative abundance of rhizobia. Our findings showed that WSHM/FA promotes symbiosis by stimulating the endogenous flavonoid synthesis and leads to rhizobia accumulation in the rhizosphere. This study provides new insights into mechanisms underlying the FA-mediated promotion of symbiosis.
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Affiliation(s)
- Xiaoqian Qiu
- State Key Laboratory of Animal Biotech Breeding and Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Wenqian Wang
- State Key Laboratory of Animal Biotech Breeding and Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jinshui Yang
- State Key Laboratory of Animal Biotech Breeding and Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Dongmei Li
- State Key Laboratory of Animal Biotech Breeding and Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jian Jiao
- State Key Laboratory of Animal Biotech Breeding and Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Entao Wang
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 07738, Mexico
| | - Hongli Yuan
- State Key Laboratory of Animal Biotech Breeding and Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
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He Z, Sa R, Zhang K, Wang J, Qiu X, Chen L. Optimizing the indication of initial radioiodine oncolytic treatment for metastatic differentiated thyroid cancer by diagnostic 131I scan. Clin Radiol 2024:S0009-9260(24)00185-5. [PMID: 38641445 DOI: 10.1016/j.crad.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/27/2024] [Accepted: 03/25/2024] [Indexed: 04/21/2024]
Abstract
AIM As a classic theranostic radiopharmaceutical, radioiodine (131I) has been utilized in the management of differentiated thyroid cancer (DTC) for more than 8 decades, and the refinement of its clinical practice has been raised recently. This study was conducted to evaluate the efficiency of a diagnostic (Dx) 131I scan in optimizing the indication of initial radioiodine oncolytic treatment (ROT) for metastatic DTC by predicting therapeutic outcomes. RESULTS A total of 100 patients (Dx positive, n=29; Dx negative, n=71) were eligible for patient-based analysis. The matching rate was 83.0% between the Dx and the post-therapeutic scans (kappa = 0.648, P<0.001). The biochemical remission rate and structural shrinkage rate induced by the initial ROT in the Dx-positive group were, respectively, greater than those in the Dx-negative group (83.3% vs. 17.4%, P<0.001; 37.9% vs. 4.2%, P<0.001). Notably, the predictive values of positive Dx scans for ROT responsiveness and negative Dx scans for ROT nonresponsiveness reached up to 89.7% and 84.5%, respectively. CONCLUSION This Dx scan approach seems viable in characterizing the 131I-avidity of metastatic DTC and plays a pivotal role in optimizing the indication of initial ROT for metastatic DTC.
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Affiliation(s)
- Z He
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - R Sa
- Department of Nuclear Medicine, The First Hospital of Jilin University, 1(#) Xinmin St, Changchun 130021, People's Republic of China.
| | - K Zhang
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - J Wang
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - X Qiu
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - L Chen
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
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Li D, Wang W, Peng Y, Qiu X, Yang J, Zhang C, Wang E, Wang X, Yuan H. Soluble humic acid suppresses plant immunity and ethylene to promote soybean nodulation. Plant Cell Environ 2024; 47:871-884. [PMID: 38164043 DOI: 10.1111/pce.14801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/23/2023] [Accepted: 12/17/2023] [Indexed: 01/03/2024]
Abstract
Symbiotic nitrogen fixation (SNF) is a crucial process for nitrogen geochemical cycling and plant-microbe interactions. Water-soluble humic acid (WSHM), an active component of soil humus, has been shown to promote SNF in the legume-rhizobial symbiosis, but its molecular mechanism remains largely unknown. To reveal the SNF-promoting mechanism, we conducted transcriptomic analysis on soybean treated with WSHM. Our findings revealed that up- and downregulated differentially expressed genes (DEGs) were mainly involved in plant cell-wall/membrane formation and plant defence/immunity in the early stage, while the late stage was marked by the flavonoid synthesis and ethylene biosynthetic process. Further study on representative DEGs showed that WSHM could inhibit GmBAK1d-mediated immunity and BR signalling, thereby promoting rhizobial colonisation, infection, and nodulation, while not favoring pathogenic bacteria colonisation on the host plant. Additionally, we also found that the ethylene pathway is necessary for promoting the soybean nodulation by WSHM. This study not only provides a significant advance in our understanding of the molecular mechanism of WSHM in promoting SNF, but also provides evidence of the beneficial interactions among the biostimulator, host plant, and soil microbes, which have not been previously reported.
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Affiliation(s)
- Dongmei Li
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, China
| | - Wenqian Wang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, China
| | - Yaqi Peng
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, China
| | - Xiaoqian Qiu
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, China
| | - Jinshui Yang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, China
| | - Chunting Zhang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, China
| | - Entao Wang
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico
| | - Xuelu Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, China
| | - Hongli Yuan
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, China
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Hu A, Chen G, Huang A, Cai Z, Yang T, Ma C, Li L, Gao H, Gu J, Zhu C, Wu Y, Qiu X, Xu J, Shen J, Zhong L. o-phenylenediamine Derived Fluorescent Carbon Quantum dots for Detection of Hg(II) in Environmental Water. J Fluoresc 2024; 34:905-913. [PMID: 37418199 DOI: 10.1007/s10895-023-03331-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023]
Abstract
With the expansion of human activities, the consequent influx of mercury (Hg) into the food chain and the environment is seriously threatening human life. Herein, nitrogen and sulfur co-doped fluorescent carbon quantum dots (yCQDs) were prepared via a hydrothermal method using o-phenylenediamine (OPD) and taurine as precursors. The morphological characteristics as well as spectral features of yCQDs indicated that the photoluminescence mechanism should be the molecular state fluorophores of 2, 3-diaminophenothiazine (oxOPD), which is the oxide of OPD. The as-synthesized yCQDs exhibited sensitive recognition of Hg2+. According to the investigation in combination of UV-Vis absorption spectra, time-resolved fluorescence spectra and quantum chemical calculations, the abundant functional groups on the surface of yCQDs allowed Hg2+ to bind with yCQDs through various interactions, and the formed complexes significantly inhibited the absorption of excitation light, resulting in the static fluorescence quenching of yCQDs. The proposed yCQDs was utilized for Hg2+ sensing with the limit of detection calculated to be 4.50 × 10- 8 M. Furthermore, the recognition ability of yCQDs for Hg2+ was estimated in tap water, lake water and bottled water, and the results indicated that yCQDs have potential applications in monitoring Hg2+.
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Affiliation(s)
- Anqi Hu
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Guoqing Chen
- School of Science, Jiangnan University, 214122, Wuxi, China.
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China.
| | - Anlan Huang
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Zicheng Cai
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Taiqun Yang
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Chaoqun Ma
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Lei Li
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Hui Gao
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Jiao Gu
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Chun Zhu
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Yamin Wu
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Xiaoqian Qiu
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Jinzeng Xu
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Jialu Shen
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
| | - Lvyuan Zhong
- School of Science, Jiangnan University, 214122, Wuxi, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, 214122, Wuxi, China
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Wang W, Li D, Qiu X, Yang J, Liu L, Wang E, Yuan H. Selective regulation of endophytic bacteria and gene expression in soybean by water-soluble humic materials. Environ Microbiome 2024; 19:2. [PMID: 38178261 PMCID: PMC10768371 DOI: 10.1186/s40793-023-00546-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/24/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND As part of the plant microbiome, endophytic bacteria play an essential role in plant growth and resistance to stress. Water-soluble humic materials (WSHM) is widely used in sustainable agriculture as a natural and non-polluting plant growth regulator to promote the growth of plants and beneficial bacteria. However, the mechanisms of WSHM to promote plant growth and the evidence for commensal endophytic bacteria interaction with their host remain largely unknown. Here, 16S rRNA gene sequencing, transcriptomic analysis, and culture-based methods were used to reveal the underlying mechanisms. RESULTS WSHM reduced the alpha diversity of soybean endophytic bacteria, but increased the bacterial interactions and further selectively enriched the potentially beneficial bacteria. Meanwhile, WSHM regulated the expression of various genes related to the MAPK signaling pathway, plant-pathogen interaction, hormone signal transduction, and synthetic pathways in soybean root. Omics integration analysis showed that Sphingobium was the genus closest to the significantly changed genes in WSHM treatment. The inoculation of endophytic Sphingobium sp. TBBS4 isolated from soybean significantly improved soybean nodulation and growth by increasing della gene expression and reducing ethylene release. CONCLUSION All the results revealed that WSHM promotes soybean nodulation and growth by selectively regulating soybean gene expression and regulating the endophytic bacterial community, Sphingobium was the key bacterium involved in plant-microbe interaction. These findings refined our understanding of the mechanism of WSHM promoting soybean nodulation and growth and provided novel evidence for plant-endophyte interaction.
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Affiliation(s)
- Wenqian Wang
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, 100193, Beijing, China
| | - Dongmei Li
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, 100193, Beijing, China
| | - Xiaoqian Qiu
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, 100193, Beijing, China
| | - Jinshui Yang
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, 100193, Beijing, China
| | - Liang Liu
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, 100193, Beijing, China
| | - Entao Wang
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, C.P. 11340, Ciudad de México, México
| | - Hongli Yuan
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, 100193, Beijing, China.
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Chen Q, Fu C, Qiu X, He J, Zhao T, Zhang Q, Hu X, Hu H. Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion. Clin Radiol 2024; 79:e26-e33. [PMID: 37926647 DOI: 10.1016/j.crad.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/07/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023]
Abstract
AIM To investigate the value of non-contrast CT (NCCT)-based two-dimensional (2D) radiomics features in predicting haematoma expansion (HE) after spontaneous intracerebral haemorrhage (ICH) and compare its predictive ability with the three-dimensional (3D) signature. MATERIALS AND METHODS Three hundred and seven ICH patients who received baseline NCCT within 6 h of ictus from two stroke centres were analysed retrospectively. 2D and 3D radiomics features were extracted in the manner of one-to-one correspondence. The 2D and 3D models were generated by four different machine-learning algorithms (regularised L1 logistic regression, decision tree, support vector machine and AdaBoost), and the receiver operating characteristic (ROC) curve was used to compare their predictive performance. A robustness analysis was performed according to baseline haematoma volume. RESULTS Each feature type of 2D and 3D modalities used for subsequent analyses had excellent consistency (mean ICC >0.9). Among the different machine-learning algorithms, pairwise comparison showed no significant difference in both the training (mean area under the ROC curve [AUC] 0.858 versus 0.802, all p>0.05) and validation datasets (mean AUC 0.725 versus 0.678, all p>0.05), and the 10-fold cross-validation evaluation yielded similar results. The AUCs of the 2D and 3D models were comparable either in the binary or tertile volume analysis (all p>0.5). CONCLUSION NCCT-derived 2D radiomics features exhibited acceptable and similar performance to the 3D features in predicting HE, and this comparability seemed unaffected by initial haematoma volume. The 2D signature may be preferred in future HE-related radiomic works given its compatibility with emergency condition of ICH.
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Affiliation(s)
- Q Chen
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - C Fu
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Qiu
- Department of Radiology, Qian Tang District of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J He
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - T Zhao
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Q Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Wang Q, Wan J, Dang K, Meng S, Hu D, Lin Y, Qiu X, Guo Z, Fu Z, Ding D, Tang J. zma-miR159 targets ZmMYB74 and ZmMYB138 transcription factors to regulate grain size and weight in maize. Plant Physiol 2023; 193:2430-2441. [PMID: 37590954 DOI: 10.1093/plphys/kiad455] [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] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 06/15/2023] [Accepted: 07/01/2023] [Indexed: 08/19/2023]
Abstract
Endosperm cell number is critical in determining grain size in maize (Zea mays). Here, zma-miR159 overexpression led to enlarged grains in independent transgenic lines, suggesting that zma-miR159 contributes positively to maize grain size. Targeting of ZmMYB74 and ZmMYB138 transcription factor genes by zma-miR159 was validated using 5' RACE and dual-luciferase assay. Lines in which ZmMYB74 was knocked out using clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) presented a similar enlarged grain phenotype as those with zma-miR159 overexpression. Downstream genes regulating cell division were identified through DNA affinity purification sequencing using ZmMYB74 and ZmMYB138. Our results suggest that zma-miR159-ZmMYB modules act as an endosperm development hub, participating in the division and proliferation of endosperm cells.
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Affiliation(s)
- Qiyue Wang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
- Maize Research Department, Hebi Academy of Agricultural Sciences, Hebi, Henan 458030, China
| | - Jiong Wan
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Kuntai Dang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Shujun Meng
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Desheng Hu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Yuan Lin
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
- Maize Research Department, Hebi Academy of Agricultural Sciences, Hebi, Henan 458030, China
| | - Xiaoqian Qiu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Zhanyong Guo
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Zhiyuan Fu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450002, China
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Xu Z, Liang J, Fu R, Yang L, Xin Chen Y, Ren W, Lu Y, Qiu X, Gu Q. Effect of PD-L1 Expression for the PD-1/L1 Inhibitors on Non-small Cell Lung Cancer: A Meta-analysis Based on Randomised Controlled Trials. Clin Oncol (R Coll Radiol) 2023; 35:640-651. [PMID: 37563075 DOI: 10.1016/j.clon.2023.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/23/2023] [Accepted: 07/28/2023] [Indexed: 08/12/2023]
Abstract
AIMS As PD-L1 expression has been proposed as one of the cancer biomarkers for non-small cell lung cancer (NSCLC), the predictive value of tumour proportional score (TPS) in the effect of immunotherapy [programmed death protein-1/ligand 1 (PD-1/L1) inhibitors] for NSCLC is worth exploring further. Here, we aimed to summarise the outcomes of current NSCLC randomised controlled trials (RCTs) and explore the predictive value of TPS in clinical immunotherapy, including immune checkpoint inhibitors (ICIs) with or without chemotherapy. MATERIALS AND METHODS RCTs published by PubMed, Medline, Embase and Scopus before February 2023 comparing immunotherapy (PD-1/L1 with or without other therapy) versus a control group in advanced or metastatic NSCLC were included to assess the prognosis according to the patients' TPS with 1% and 50% as the thresholds. The primary endpoints were overall survival and progression-free survival. RESULTS In total, 28 RCTs containing 17 266 participants with advanced or metastatic NSCLC were included in this meta-analysis. Statistical results showed that compared with TPS <1%, ≥1% or within 1-49%, patients with TPS ≥50% benefited more significantly from the immunotherapy. A subgroup analysis showed that when TPS was <1%, ≥1% or within 1-49%, ICIs + chemotherapy had better efficacy than ICIs alone; PD-1 (such as pembrolizumab) inhibitors had better efficacy than PD-L1 inhibitors (such as atezolizumab). CONCLUSION The efficacy of immunotherapy (PD-1/L1 inhibitors) for advanced or metastatic NSCLC is influenced by TPS.
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Affiliation(s)
- Z Xu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China
| | - J Liang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - R Fu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - L Yang
- Emergency Medical Center, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China
| | - Y Xin Chen
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - W Ren
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Y Lu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - X Qiu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Q Gu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China.
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11
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Liu Z, Qiu X, Yang H, Wu X, Ye W. [Inhibitor of growth protein-2 silencing alleviates angiotensin Ⅱ-induced cardiac remodeling in mice by reducing p53 acetylation]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1127-1135. [PMID: 37488795 PMCID: PMC10366506 DOI: 10.12122/j.issn.1673-4254.2023.07.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the effect of inhibitor of growth protein-2 (Ing2) silencing on angiotensin Ⅱ (AngⅡ)-induced cardiac remodeling in mice and explore the underlying mechanism. METHODS An adenoviral vector carrying Ing2 shRNA or empty adenoviral vector was injected into the tail vein of mice, followed 48 h later by infusion of 1000 ng · kg-1 · min-1 Ang Ⅱ or saline using a mini-osmotic pump for 42 consecutive days. Transthoracic echocardiography was used to assess cardiac geometry and function and the level of cardiac hypertrophy in the mice. Masson and WGA staining were used to detect myocardial fibrosis and cross-sectional area of cardiomyocytes, and myocardial cell apoptosis was detected with TUNEL assay. Western blotting was performed to detect myocardial expressions of cleaved caspase 3, ING2, collagen Ⅰ, Ac-p53(Lys382) and p-p53 (Ser15); Ing2 mRNA expression was detected using real-time PCR. Mitochondrial biogenesis, as measured by mitochondrial ROS content, ATP content, citrate synthase activity and calcium storage, was determined using commercial assay kits. RESULTS The expression levels of Ing2 mRNA and protein were significantly higher in the mice with chronic Ang Ⅱ infusion than in saline-infused mice. Chronic infusion of AngⅡ significantly increased the left ventricular end-systolic diameter (LVESD) and left ventricular end-diastolic diameter (LVEDD) and reduced left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) in the mice. Ing2 silencing obviously alleviated AngⅡ-induced cardiac function decline, as shown by decreased LVEDD and LVESD and increased LVEF and LVFS, improved myocardial mitochondrial damage and myocardial hypertrophy and fibrosis, and inhibited cardiomyocyte apoptosis. Chronic AngⅡ infusion significantly increased myocardial expression levels of Ac-p53(Lys382) and p-p53(Ser15) in the mice, and Ing2 silencing prior to AngⅡ infusion lessened AngⅡ- induced increase of Ac-p53(Lys382) without affecting p53 (ser15) expression. CONCLUSION Ing2 silencing can inhibit AngⅡ-induced cardiac remodeling and dysfunction in mice by reducing p53 acetylation.
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Affiliation(s)
- Z Liu
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Qiu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - H Yang
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Wu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - W Ye
- Guangzhou University of Chinese Medicine, Guangzhou 510006, China
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12
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Zhou Y, Chen G, Ma C, Gu J, Yang T, Li L, Gao H, Xiong Y, Wu Y, Zhu C, Wu H, Yin W, Hu A, Qiu X, Guan W, Zhang W. Nitrogen-doped carbon dots with bright fluorescence for highly sensitive detection of Fe 3+ in environmental waters. Spectrochim Acta A Mol Biomol Spectrosc 2023; 293:122414. [PMID: 36791662 DOI: 10.1016/j.saa.2023.122414] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/12/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
In this study, we synthesized stable nitrogen-doped carbon dots by a simple and economical one-step hydrothermal method using l-cysteine and anhydrous ethylenediamine as precursors. The prepared carbon dots have bright and stable blue light emission near 383 nm and can be used as fluorescent probes to detect the concentration of Fe3+ in environmental waters. It was demonstrated that due to intermolecular electrostatic interaction, a non-fluorescent complex N-CDs/Fe3+ is formed by coordination of Fe3+ with amino and carboxyl functional groups on the surface of carbon dots. Therefore, in combination with internal filtration effect, the fluorescence of carbon dots can be quenched in the presence of Fe3+, and the degree of quenching is linearly related to the concentration of Fe3+. The limit of detection in deionized water was as low as 0.069 μM with R2 of 0.998 and a linear range of 0.3 to 20 μM. In addition, satisfactory recoveries were achieved for the determination of Fe3+ in environmental water samples. The method is reliable, with highly sensitivity and selectivity, and has potential for practical applications in environmental metal analysis.
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Affiliation(s)
- Yan Zhou
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Guoqing Chen
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China.
| | - Chaoqun Ma
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Jiao Gu
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Taiqun Yang
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Lei Li
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Hui Gao
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Yi Xiong
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Yamin Wu
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Chun Zhu
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Hui Wu
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Wenzhi Yin
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Anqi Hu
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Xiaoqian Qiu
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Weinan Guan
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Wei Zhang
- School of Science, Jiangnan University, Wuxi 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
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13
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Erchick DJ, Hazel EA, Katz J, Lee ACC, Diaz M, Wu LSF, Yoshida S, Bahl R, Grandi C, Labrique AB, Rashid M, Ahmed S, Roy AD, Haque R, Shaikh S, Baqui AH, Saha SK, Khanam R, Rahman S, Shapiro R, Zash R, Silveira MF, Buffarini R, Kolsteren P, Lachat C, Huybregts L, Roberfroid D, Zeng L, Zhu Z, He J, Qiu X, Gebreyesus SH, Tesfamariam K, Bekele D, Chan G, Baye E, Workneh F, Asante KP, Kaali EB, Adu-Afarwuah S, Dewey KG, Gyaase S, Wylie BJ, Kirkwood BR, Manu A, Thulasiraj RD, Tielsch J, Chowdhury R, Taneja S, Babu GR, Shriyan P, Ashorn P, Maleta K, Ashorn U, Mangani C, Acevedo-Gallegos S, Rodriguez-Sibaja MJ, Khatry SK, LeClerq SC, Mullany LC, Jehan F, Ilyas M, Rogerson SJ, Unger HW, Ghosh R, Musange S, Ramokolo V, Zembe-Mkabile W, Lazzerini M, Rishard M, Wang D, Fawzi WW, Minja DTR, Schmiegelow C, Masanja H, Smith E, Lusingu JPA, Msemo OA, Kabole FM, Slim SN, Keentupthai P, Mongkolchati A, Kajubi R, Kakuru A, Waiswa P, Walker D, Hamer DH, Semrau KEA, Chaponda EB, Chico RM, Banda B, Musokotwane K, Manasyan A, Pry JM, Chasekwa B, Humphrey J, Black RE. Vulnerable newborn types: analysis of subnational, population-based birth cohorts for 541 285 live births in 23 countries, 2000-2021. BJOG 2023. [PMID: 37156239 DOI: 10.1111/1471-0528.17510] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE To examine prevalence of novel newborn types among 541 285 live births in 23 countries from 2000 to 2021. DESIGN Descriptive multi-country secondary data analysis. SETTING Subnational, population-based birth cohort studies (n = 45) in 23 low- and middle-income countries (LMICs) spanning 2000-2021. POPULATION Liveborn infants. METHODS Subnational, population-based studies with high-quality birth outcome data from LMICs were invited to join the Vulnerable Newborn Measurement Collaboration. We defined distinct newborn types using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight, LBW [<2500 g], nonLBW) as ten types (using all three outcomes), six types (by excluding the birthweight categorisation), and four types (by collapsing the AGA and LGA categories). We defined small types as those with at least one classification of LBW, PT or SGA. We presented study characteristics, participant characteristics, data missingness, and prevalence of newborn types by region and study. RESULTS Among 541 285 live births, 476 939 (88.1%) had non-missing and plausible values for gestational age, birthweight and sex required to construct the newborn types. The median prevalences of ten types across studies were T+AGA+nonLBW (58.0%), T+LGA+nonLBW (3.3%), T+AGA+LBW (0.5%), T+SGA+nonLBW (14.2%), T+SGA+LBW (7.1%), PT+LGA+nonLBW (1.6%), PT+LGA+LBW (0.2%), PT+AGA+nonLBW (3.7%), PT+AGA+LBW (3.6%) and PT+SGA+LBW (1.0%). The median prevalence of small types (six types, 37.6%) varied across studies and within regions and was higher in Southern Asia (52.4%) than in Sub-Saharan Africa (34.9%). CONCLUSIONS Further investigation is needed to describe the mortality risks associated with newborn types and understand the implications of this framework for local targeting of interventions to prevent adverse pregnancy outcomes in LMICs.
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Affiliation(s)
- D J Erchick
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - E A Hazel
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - J Katz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - A C C Lee
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - M Diaz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - L S F Wu
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S Yoshida
- Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - R Bahl
- Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - C Grandi
- Argentine Society of Paediatrics, Ciudad Autónoma de Buenos Aires, Argentina
| | - A B Labrique
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - M Rashid
- IntraHealth International, Dhaka, Bangladesh
| | - S Ahmed
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | - A D Roy
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | - R Haque
- JiVitA Maternal and Child Health Research Project, Rangpur, Bangladesh
| | - S Shaikh
- JiVitA Maternal and Child Health Research Project, Rangpur, Bangladesh
| | - A H Baqui
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S K Saha
- Child Health Research Foundation, Dhaka, Bangladesh
| | - R Khanam
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S Rahman
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - R Shapiro
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - R Zash
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - M F Silveira
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - R Buffarini
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - P Kolsteren
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - C Lachat
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - L Huybregts
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
- Poverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, DC, USA
| | - D Roberfroid
- Medicine Department, Faculty of Medicine, University of Namur, Namur, Belgium
| | - L Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Z Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - J He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - X Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - S H Gebreyesus
- Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - K Tesfamariam
- Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - D Bekele
- Department of Obstetrics and Gynecology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - G Chan
- Department of Obstetrics and Gynecology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - E Baye
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - F Workneh
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
| | - K P Asante
- Kintampo Health Research Centre, Research and Development Division, Kintampo, Ghana
| | - E B Kaali
- Kintampo Health Research Centre, Research and Development Division, Kintampo, Ghana
| | - S Adu-Afarwuah
- Department of Nutrition and Food Science, University of Ghana, Accra, Ghana
| | - K G Dewey
- Institute for Global Nutrition, Department of Nutrition, University of California, Davis, California, USA
| | - S Gyaase
- Department of Statistics, Kintampo Health Research Centre, Kintampo, Ghana
| | - B J Wylie
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York, USA
| | - B R Kirkwood
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - A Manu
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- University of Ghana School of Public Health, Accra, Ghana
| | | | - J Tielsch
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - R Chowdhury
- Centre for Health Research and Development, Society for Applied Studies, Delhi, India
| | - S Taneja
- Centre for Health Research and Development, Society for Applied Studies, Delhi, India
| | - G R Babu
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - P Shriyan
- Indian Institute of Public Health, Public Health Foundation of India, Bengaluru, India
| | - P Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - K Maleta
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - U Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - C Mangani
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - S Acevedo-Gallegos
- National Institute of Perinatology, Maternal-Fetal Medicine Department, Mexico City, Mexico
| | - M J Rodriguez-Sibaja
- National Institute of Perinatology, Maternal-Fetal Medicine Department, Mexico City, Mexico
| | - S K Khatry
- Nepal Nutrition Intervention Project - Sarlahi (NNIPS), Kathmandu, Nepal
| | - S C LeClerq
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Nepal Nutrition Intervention Project - Sarlahi (NNIPS), Kathmandu, Nepal
| | - L C Mullany
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - F Jehan
- Department of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan
| | - M Ilyas
- The Aga Khan University, Karachi, Pakistan
| | - S J Rogerson
- Department of Infectious Diseases, University of Melbourne, Doherty Institute, Melbourne, Victoria, Australia
| | - H W Unger
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - R Ghosh
- Institute for Global Health Sciences, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - S Musange
- School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - V Ramokolo
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Gertrude H Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - W Zembe-Mkabile
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- College Graduate of Studies, University of South Africa, Johannesburg, South Africa
| | - M Lazzerini
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', WHO Collaborating Centre for Maternal and Child Health, Trieste, Italy
| | - M Rishard
- University Obstetrics Unit, De Soysa Hospital for Women, Colombo, Sri Lanka
- Department of Obstetrics & Gynaecology, University of Colombo, Colombo, Sri Lanka
| | - D Wang
- Department of Global and Community Health, College of Public Health, George Mason University, Fairfax, Virginia, USA
| | - W W Fawzi
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - D T R Minja
- National Institute for Medical Research, Tanga Centre, Tanga, Tanzania
| | - C Schmiegelow
- Centre for Medical Parasitology, Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - H Masanja
- Ifakara Health Institute, Dar es Salaam, Tanzania
| | - E Smith
- Department of Global Health, Milken Institute School of Public Health, Washington, DC, USA
| | - J P A Lusingu
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - O A Msemo
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - F M Kabole
- Ministry of Health Zanzibar, Zanzibar, Tanzania
| | - S N Slim
- Ministry of Health Zanzibar, Zanzibar, Tanzania
| | - P Keentupthai
- College of Medicine and Public Health, Ubon Ratchathani University, Ubon Ratchathani, Thailand
| | - A Mongkolchati
- ASEAN Institute for Health Development, Mahidol University, Salaya, Thailand
| | - R Kajubi
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - A Kakuru
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - P Waiswa
- Department of Health Policy Planning and Management, Makerere University School of Public Health, New Mulago Hospital Complex, Kampala, Uganda
- Division of Global Health, Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - D Walker
- Institute for Global Health Sciences and Department of Obstetrics and Gynecology, University of California San Francisco, San Francisco, California, USA
| | - D H Hamer
- Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - K E A Semrau
- Ariadne Labs, Brigham and Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Global Health Equity & Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - E B Chaponda
- Department of Biological Sciences, School of Natural Sciences, University of Zambia, Lusaka, Zambia
| | - R M Chico
- Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - B Banda
- Research Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa
| | - K Musokotwane
- Health Specialist PMTCT and Pediatric AIDS, UNICEF, Lusaka, Zambia
| | - A Manasyan
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - J M Pry
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - B Chasekwa
- Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe
| | - J Humphrey
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - R E Black
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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14
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Huang A, Hu A, Li L, Ma C, Yang T, Gao H, Zhu C, Cai Z, Qiu X, Xu J, Shen J, Zhong L, Chen G. Effect of Zn 2+ on emodin molecules studied by time-resolved fluorescence spectroscopy and quantum chemical calculations. Spectrochim Acta A Mol Biomol Spectrosc 2023; 289:122217. [PMID: 36529043 DOI: 10.1016/j.saa.2022.122217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/28/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
Emodin is a natural drug for treating neurodegenerative diseases and plays a vital role in the mitigation of nerve damage. Metal ions can modify the drug properties of emodin, where Zn2+ can synergize with the emodin molecule and enhance the drug effect of emodin. Besides, complex changes can be observed in the fluorescence intensity and fluorescence lifetime of the emodin molecule as the concentration of Zn2+ increases. Herein, the synergistic effects of ligand structural in Zn(II)-Emodin complexes and the electronic effects of metal elements on the antioxidant properties of the complexes are discussed in detail based on UV-vis absorption spectroscopy, fluorescence spectroscopy, time-correlated single photon counting (TCSPC) technique and quantum chemical calculations at the B3LYP/6-31G(d) level. The experimental results confirm that Zn2+ can coordinate with the hydroxyl groups on the emodin to make the molecule structure more rigid, thus inhibiting the non-radiative processes such as high-frequency vibrations of the emodin molecule in solution. The suppression of non-radiative processes leads to an increase in the average fluorescence lifetime of the emodin molecule, and finally results in the enhanced fluorescence intensity. The chemical softness of Zn(II)-Emodin is then confirmed to be higher than that of emodin by Gaussian calculations, indicating its higher chemical reactivity and lower stability. The stronger electron donating ability of Zn(II)-Emodin compared to emodin may explain the higher antioxidant activity of Zn(II)-Emodin, which gives it a stronger pharmacological activity. The results of this study show that emodin can well complex with Zn2+ to remove excess Zn2+ in human body and the resulting complex has better antioxidant properties, which helps to understand the role of Zn2+ in drug-metal coordination and provides guidance for the design of new drugs.
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Affiliation(s)
- Anlan Huang
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Anqi Hu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Lei Li
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Chaoqun Ma
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Taiqun Yang
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Hui Gao
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Chun Zhu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Zicheng Cai
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Xiaoqian Qiu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Jinzeng Xu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Jialu Shen
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Lvyuan Zhong
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Guoqing Chen
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China.
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15
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Wang L, Li J, Lin Y, Dang K, Wan J, Meng S, Qiu X, Wang Q, Mu L, Ding D, Luo H, Tang J. Comparative transcriptomics analysis at the key stage of maize ear development dissect heterosis. Plant Genome 2023; 16:e20293. [PMID: 36478177 DOI: 10.1002/tpg2.20293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/02/2022] [Indexed: 05/10/2023]
Abstract
Important traits related to maize (Zea mays L.) grain yield, such as kernel row number, ear length, kernel number per row, are determined during the development of female inflorescence. There is a significant positive correlation between yield component and the activity of inflorescence meristem (IM). To find the key stage of heterosis in the development of the ear, immature ears (from the IM stage until the end of the floral meristem [FM] stage) of Yudan888 and its parent lines were sampled to assay phenotype and for comparative transcriptomics analysis. The immature ear length of Yudan888 at the IM stage fitted an additive (mid-parental) model, but it showed high parental dominance at the spikelet-pair meristem (SPM) stage. Comparative analysis of transcriptomes suggested significant differences between additive and nonadditive expression patterns for different developmental stages. The number of distinct maternal or paternal genes (DMP) (genes expressed only in one parental line and their hybrid but silenced in another line) was greater than ABF1 (genes expressed in both parental lines but silenced in hybrid) at each stage. Gene Ontology (GO) enrichment suggested that the cell redox homeostasis genes with overdominance expression patterns in hybrids have an important contribution to heterosis. According to our research, an ear length heterosis network was established. The discovery of the inflection point for ear length heterosis allows us for inferring that the transition state of IM to SPM may be the starting point of ear length heterosis. These findings improved the understanding of maize ear length heterosis.
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Affiliation(s)
- Liangfa Wang
- College of Agronomy, Hunan Agricultural Univ., Changsha, 410128, China
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- Hebi Academy of Agricultural Sciences, Hebi, 458030, China
| | - Juan Li
- College of Agronomy, Hunan Agricultural Univ., Changsha, 410128, China
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- Institute of Crop Germplasm Resources, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Yuan Lin
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- Hebi Academy of Agricultural Sciences, Hebi, 458030, China
| | - Kuntai Dang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Jiong Wan
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Shujun Meng
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Xiaoqian Qiu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Qiyue Wang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Liqin Mu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Hongbing Luo
- College of Agronomy, Hunan Agricultural Univ., Changsha, 410128, China
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- The Shennong Laboratory, Zhengzhou, 450002, China
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16
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Li J, Wang L, Wan J, Dang K, Lin Y, Meng S, Qiu X, Wang Q, Zhao J, Mu L, Luo H, Ding D, Chen Z, Tang J. Dynamic patterns of gene expression and regulatory variation in the maize seed coat. BMC Plant Biol 2023; 23:82. [PMID: 36750803 PMCID: PMC9903604 DOI: 10.1186/s12870-023-04078-1] [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] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Seed size is an important factor contributing to maize yield, but its molecular mechanism remains unclear. The seed coat, which serves as one of the three components of the maize grain, determines seed size to a certain extent. The seed coat also shares the maternal genotype and is an ideal material for studying heterosis. RESULTS In this study, the self-pollinated seeds of the maize hybrid Yudan888 and its parental lines were continuously collected from 0 day after pollination (DAP) to 15 DAP for phenotyping, cytological observation and RNA-seq. The phenotypic data showed that 3 DAP and 8 DAP are the best time points to study maize seed coat heterosis. Cytological observations indicated that maize seed coat heterosis might be the result of the coordination between cell number and cell size. Furthermore, the RNA-seq results showed that the nonadditive genes changed significantly between 3 and 8 DAP. However, the number of genes expressed additively was not significantly different. Our findings suggest that seed coat heterosis in hybrid is the result of nonadditive expression caused by dynamic changes in genes at different time points during seed expansion and seed coat development. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment indicated that genes related to DNA replication, cell cycle regulation, circadian rhythms and metabolite accumulation contributed significantly to hybrid seed coat heterosis. CONCLUSION Maize seed coat phenotyping allowed us to infer that 3 DAP and 8 DAP are important time points in the study of seed coat heterosis. Our findings provide evidence for genes involved in DNA replication, cell cycle regulation, circadian rhythms and metabolite accumulation in hybrid with high or low parental expression as major contributors to hybrid seed coat heterosis.
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Affiliation(s)
- Juan Li
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
- Institute of Crop Germplasm Resources, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Liangfa Wang
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
- Hebi Academy of Agricultural Sciences, Hebi, 458030, China
| | - Jiong Wan
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Kuntai Dang
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yuan Lin
- Hebi Academy of Agricultural Sciences, Hebi, 458030, China
| | - Shujun Meng
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xiaoqian Qiu
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Qiyue Wang
- Hebi Academy of Agricultural Sciences, Hebi, 458030, China
| | - Jiawen Zhao
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Liqin Mu
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Hongbing Luo
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Zehui Chen
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China.
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China.
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science; Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
- The Shennong Laboratory, Zhengzhou, 450002, China.
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17
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Zhong L, Chen G, Yang T, Gu J, Ma C, Li L, Wu Y, Zhu C, Gao H, Yang Z, Hu A, Xu J, Qiu X, Shen J, Huang A. Al 2O 3@Ag composite structure as SERS substrate for sensitive detection of sodium thiocyanate. ANAL SCI 2023; 39:557-564. [PMID: 36680670 DOI: 10.1007/s44211-023-00268-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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/04/2023] [Indexed: 01/22/2023]
Abstract
Sodium thiocyanate (NaSCN) can be added to fresh milk to enhance the sterilization ability of the lactoperoxidase system (LP system) in milk, extending shelf life. However, excessive intake of NaSCN can be harmful to human health because it can prevent absorption of iodine leading to disease. Also NaSCN can be used as a marker to distinguish smokers from non-smokers. In this work, we successfully synthesized meatball-like Al2O3@Ag composite structures as surface-enhanced Raman scattering (SERS) substrates using a simple wet chemical method adapted to conventional laboratory conditions. The substrate exhibited strong SERS enhancement for NaSCN. Under the optimal experiment conditions, we obtained a detection limit of 0.28 μg L-1 and a quantification limit of 1 μg L-1, R2 = 0.992. Based on the analysis of the intensity of SERS characteristic peak, the substrate had good reproducibility and uniformity. In summary, the Al2O3@Ag composite structure achieved sensitive SERS detection of NaSCN. Combining the facile and low-cost methods, we believe that the SERS detection method developed in this work can be used as a potential candidate for biosensing applications in the future.
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Affiliation(s)
- Lvyuan Zhong
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Guoqing Chen
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China.
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China.
| | - Taiqun Yang
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Jiao Gu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Chaoqun Ma
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Lei Li
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Yamin Wu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Chun Zhu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Hui Gao
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Zichen Yang
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
- School of Internet of Things Engineering, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
| | - Anqi Hu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Jinzeng Xu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Xiaoqian Qiu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Jialu Shen
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
| | - Anlan Huang
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, Wuxi, 214122, China
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Wan J, Meng S, Wang Q, Zhao J, Qiu X, Wang L, Li J, Lin Y, Mu L, Dang K, Xie Q, Tang J, Ding D, Zhang Z. Suppression of microRNA168 enhances salt tolerance in rice (Oryza sativa L.). BMC Plant Biol 2022; 22:563. [PMID: 36460977 PMCID: PMC9719116 DOI: 10.1186/s12870-022-03959-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Rice is a salt-sensitive crop. Complex gene regulatory cascades are likely involved in salinity stress in rice roots. microRNA168 (miR168) is a conserved miRNA among different plant species. It in-directly regulates the expression of all miRNAs by targeting gene ARGONAUTE1(AGO1). Short Tandem Target Mimic (STTM) technology is an ideal approach to study miRNA functions by in-activating mature miRNA in plants. RESULTS In this study, rice miR168 was inactivated by STTM. The T3 generation seedlings of STTM168 exhibited significantly enhanced salt resistance. Direct target genes of rice miR168 were obtained by in silico prediction and further confirmed by degradome-sequencing. PINHEAD (OsAGO1), which was previously suggested to be a plant abiotic stress response regulator. RNA-Seq was performed in root samples of 150mM salt-treated STTM168 and control seedlings. Among these screened 481 differentially expressed genes within STTM168 and the control, 44 abiotic stress response related genes showed significant difference, including four known salt-responsive genes. CONCLUSION Based on sequencing and qRT-PCR, a "miR168-AGO1-downstream" gene regulation model was proposed to be responsible for rice salt stress response. The present study proved miR168-AGO1 cascade to play important role in rice salinity stress responding, as well as to be applied in agronomic improvement in further.
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Affiliation(s)
- Jiong Wan
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Shujun Meng
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Qiyue Wang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Jiawen Zhao
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Xiaoqian Qiu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Liangfa Wang
- Hebi Academy of Agricultural Sciences, 458030, Hebi, China
| | - Juan Li
- Institute of Crop Germplasm Resources, Guizhou Academy of Agricultural Sciences, 550006, Guiyang, China
| | - Yuan Lin
- Hebi Academy of Agricultural Sciences, 458030, Hebi, China
| | - Liqin Mu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Kuntai Dang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Qiankun Xie
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China
- The Shennong laboratory, 450002, Zhengzhou, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China.
| | - Zhanhui Zhang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, 450002, Zhengzhou, China.
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19
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Qiu X, Sun X, Li HO, Wang DH, Zhang SM. Maternal alcohol consumption and risk of postpartum depression: a meta-analysis of cohort studies. Public Health 2022; 213:163-170. [PMID: 36423494 DOI: 10.1016/j.puhe.2022.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 06/30/2022] [Accepted: 08/30/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVES The relationship between maternal alcohol consumption and postpartum depression (PPD) is still controversial. The objective of the present study was to assess the association between maternal alcohol consumption and the risk of developing PPD by means of a meta-analysis of cohort studies. STUDY DESIGN This was a meta-analysis. METHODS PubMed, Web of Science, Embase, Cochrane Library, China Biology Medicine disc, Chinese National Knowledge Infrastructure, Weipu, and Wanfang databases were searched up to February 4, 2021, to identify relevant studies that evaluated the association between maternal alcohol consumption and PPD. Meta-analysis was conducted using RevMan software and Stata software. Subgroup and sensitivity analyses were performed to explore the potential heterogeneity source, and Begg's funnel plots and Begg's linear regression test were conducted to assess the potential publication bias. RESULTS A total of 12 studies involving 50,377 participants were identified in our study. Overall, pregnant women who were exposed to alcohol were at a significantly greater risk of developing PPD compared with those who did not consume alcohol (odds ratio = 1.21; 95% confidence interval: 1.04-1.41; P = 0.020). CONCLUSIONS Maternal alcohol consumption is significantly associated with the risk of developing PPD. These results emphasize the necessity of enhancing health awareness, improving the public health policies and regulations concerning alcohol use, and strengthening the prevention and intervention of maternal alcohol consumption to promote maternal mental health.
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Affiliation(s)
- X Qiu
- Department of Nursing, Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - X Sun
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - H O Li
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - D H Wang
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - S M Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
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Li R, Wang Z, Xu H, Jiang C, Wang N, Li X, Qiu X, Wang X. Genetic Diversity among Takifugu rubripes and Takifugu obscurus in Different Regions of China Based on Mitochondrial DNA Sequencing Data. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422120079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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21
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Hu A, Chen G, Yang T, Ma C, Li L, Gao H, Gu J, Zhu C, Wu Y, Li X, Wei Y, Huang A, Qiu X, Xu J, Shen J, Zhong L. A fluorescent probe based on FRET effect between carbon nanodots and gold nanoparticles for sensitive detection of thiourea. Spectrochim Acta A Mol Biomol Spectrosc 2022; 281:121582. [PMID: 35835057 DOI: 10.1016/j.saa.2022.121582] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/17/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
Illegal abuse results in the presence of thiourea (TU) in soil, wastewater, and even fruits, which is harmful for the environment and human health. It has urgent practical significance to design an efficient and reliable probe for TU detection. Herein, a sensitive fluorescent probe with off-on response for harmful TU was reported. The probe was designed with fluorescent carbon nanodots (CNDs) and gold nanoparticles (AuNPs) based on fluorescence resonance energy transfer (FRET) effect. Firstly, the CNDs were pre-combined with AuNPs and the fluorescence of CNDs was quenched due to the FRET effect. Upon addition of TU, the fluorescence of CNDs recovered due to the unbinding of CNDs and AuNPs, since the coordination interaction between TU and AuNPs is stronger than the electrostatic interaction among CNDs and AuNPs. Under the optimum parameters, a linear relationship was found between the relative fluorescence intensity of the probe and the concentration of TU in the range of 5.00 × 10-8-1.00 × 10-6 M (R2 = 0.9958), with the limit of detection (LOD) calculated to be 3.62 × 10-8 M. This proposed method is easy to operate and has excellent selectivity and sensitivity for TU, which can be effectively applied in environmental water and compound fruit-vegetable juice.
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Affiliation(s)
- Anqi Hu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Guoqing Chen
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China.
| | - Taiqun Yang
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Chaoqun Ma
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Lei Li
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Hui Gao
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Jiao Gu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Chun Zhu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Yamin Wu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Xiaolin Li
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Yitao Wei
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Anlan Huang
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Xiaoqian Qiu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Jinzeng Xu
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Jialu Shen
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
| | - Lvyuan Zhong
- School of Science, Jiangnan University, Lihu Avenue 1800, Wuxi, 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, China
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Zhuang J, Zhang S, Qiu X, Guo H. 175TiP A prospective phase II study to investigate the efficacy and safety of olaparib plus abiraterone and prednisone combination therapy in mHSPC patients with HRR gene mutation. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Spohn S, Draulans C, Kishan A, Spratt D, Ross A, Maurer T, Tilki D, Berlin A, Blanchard P, Collins S, Bronsert P, Chen R, Dal Pra A, De Meerler G, Eade T, Haustermans K, Hölscher T, Höcht S, Ghadjar P, Davicioni E, Heck M, Kerkmeijer L, Kirste S, Tselis N, Tran P, Pinkawa M, Pommier P, Deltas C, Schmidt-Hegemann NS, Wiegel T, Zilli T, Tree A, Qiu X, Murthy V, Epstein J, Graztke C, Grosu A, Kamran S, Zamboglou C, Pinkawa. Genomic classifiers in personalized prostate cancer radiotherapy approaches – a systematic review and future perspectives based on international consensus. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)02485-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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Pan BY, Xu Y, Ni JM, Zhou SY, Hong XC, Qiu X, Li SY. Unambiguous Experimental Verification of Linear-in-Temperature Spinon Thermal Conductivity in an Antiferromagnetic Heisenberg Chain. Phys Rev Lett 2022; 129:167201. [PMID: 36306770 DOI: 10.1103/physrevlett.129.167201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 08/07/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
The everlasting interest in spin chains is mostly rooted in the fact that they generally allow for comparisons between theory and experiment with remarkable accuracy, especially for exactly solvable models. A notable example is the spin-1/2 antiferromagnetic Heisenberg chain (AFHC), which can be well described by the Tomonaga-Luttinger liquid theory and exhibits fractionalized spinon excitations with distinct thermodynamic and spectroscopic experimental signatures consistent with theoretical predictions. A missing piece, however, is the lack of a comprehensive understanding of the spinon heat transport in AFHC systems, due to difficulties in its experimental evaluation against the backdrop of other heat carriers and complex scattering processes. Here we address this situation by performing ultralow-temperature thermal conductivity measurements on a nearly ideal spin-1/2 AFHC system copper benzoate Cu(C_{6}H_{5}COO)_{2}·3H_{2}O, whose field-dependent spin excitation gap enables a reliable extraction of the spinon thermal conductivity κ_{s} at zero field. κ_{s} was found to exhibit a linear temperature dependence κ_{s}∼T at low temperatures, with κ_{s}/T as large as 1.70 mW cm^{-1} K^{-2}, followed by a precipitate decline below ∼0.3 K. The observed κ_{s}∼T clarifies the discrepancies between various spin chain systems and serves as a benchmark for one-dimensional spinon heat transport in the low-temperature limit. The abrupt loss of κ_{s} with no corresponding anomaly in the specific heat is discussed in the context of many-body localization.
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Affiliation(s)
- B Y Pan
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
- School of Physics and Optoelectronic Engineering, Ludong University, Yantai, Shandong 264025, China
| | - Y Xu
- Key Laboratory of Polar Materials and Devices (MOE), School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China
| | - J M Ni
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - S Y Zhou
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - X C Hong
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - X Qiu
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - S Y Li
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China
- Shanghai Research Center for Quantum Sciences, Shanghai, 201315, China
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25
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Zeng R, Wu H, Qiu X, Zhuo Z, Sha W, Chen H. Predicting survival and immune microenvironment in colorectal cancer: a STAT signaling-related signature. QJM 2022; 115:596-604. [PMID: 34978566 DOI: 10.1093/qjmed/hcab334] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 12/17/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Despite research advances, studies on predictive models of colorectal cancer (CRC) remain scarce and none have evaluated signal transducer and activator of transcription (STAT) signaling. AIM To develop an effective prognostic signature for and evaluate its association with immune microenvironment. DESIGN Comprehensive analysis based on The Cancer Genome Atlas and Gene Expression Omnibus databases with experimental validation. METHODS Gene expression and clinical profiles of CRC patients were extracted from the databases. Differentially expressed genes with prognostic values were used to construct a signature. Immune cell infiltration and composition were further evaluated by TIMER, single-sample gene set enrichment and CIBERSORT analyses. The impact of the hub gene Caveolin-1 (CAV1) on cell proliferation, apoptosis, senescence and tumor angiogenesis was experimentally validated. RESULTS The five-gene-based STAT signaling-related prognostic signature was significantly associated with CRC survival, and the nomogram was with improved prognostic efficacy than the conventional TNM stage. The STAT signaling-related signature was correlated with tumor immune microenvironment. CAV1 was further identified as the hub gene within the signature. CAV1 inhibits the proliferation and induces the apoptosis as well as senescence of CRC cells. In addition, the tumor angiogenesis of CRC can be suppressed by CAV1 overexpression. CONCLUSIONS The STAT signaling-related signature effectively predicts the prognosis and regulates tumor immune microenvironment in CRC. Our study underscores the role of STAT regulator, CAV1, as an important tumor suppressor in CRC carcinogenesis. Modulating STAT and its regulators could be a promising strategy for CRC in clinical practice.
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Affiliation(s)
- R Zeng
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- Shantou University Medical College, Shantou 515041, Jinping District, Guangdong, China
| | - H Wu
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - X Qiu
- Zhuguang Community Healthcare Center, Guangzhou 510080, Yuexiu District, Guangdong, China
| | - Z Zhuo
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - W Sha
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Baiyun District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - H Chen
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Baiyun District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
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He J, Wang B, Tao J, Liu Q, Peng M, Qiu X, Yang Y, Ye Z, Liu D, W. li, Chen Z, Zeng Q, Fan J, Liang W. 905MO Synergistic combination of clinical, imaging and DNA methylation biomarkers improves the classification of pulmonary nodules. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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27
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Qiu X, Gu J, Yang T, Ma C, Li L, Wu Y, Zhu C, Gao H, Yang Z, Wang Z, Li X, Hu A, Xu J, Zhong L, Shen J, Huang A, Chen G. Sensitive determination of Norfloxacin in milk based on β-cyclodextrin functionalized silver nanoparticles SERS substrate. Spectrochim Acta A Mol Biomol Spectrosc 2022; 276:121212. [PMID: 35413530 DOI: 10.1016/j.saa.2022.121212] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 03/21/2022] [Accepted: 03/26/2022] [Indexed: 06/14/2023]
Abstract
The norfloxacin (NFX) residue in milk will increase human resistance to drugs and pose a threat to public health. In this work, a highly sensitive method for detection of NFX was developed based on surface enhanced Raman spectroscopy (SERS) using β-cyclodextrin functionalized silver nanoparticles (β-CD-AgNPs) as substrate. The unique spatial size and hydrophilicity of β-CD on the surface of AgNPs could selectively capture the target molecule (NFX) through some weak interactions, including hydrogen-bond interaction, electrostatic interaction, etc. The interactions were characterized by the UV-Vis absorption spectroscopy, fluorescence spectroscopy, Zeta potential and DLS. The Raman signal of NFX is largely enhanced when anchored by β-CD on the surface of AgNPs due to SERS effect. Through a series of experiments and analysis, the limit of detection (LOD) in standard solution and spiked milk were calculated to be 3.214 pmol/L and 5.327 nmol/L. The correlation coefficients (R2) were 0.986 and 0.984, respectively. For milk sample determination of NFX, the recovery was 101.29% to 104.00% with the relative standard deviation (RSD) from 2.986% to 9.136%. To sum up, this developed SERS strategy is sensitive and specific to detect NFX in milk, it has practical application value and prospects.
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Affiliation(s)
- Xiaoqian Qiu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Jiao Gu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Taiqun Yang
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Chaoqun Ma
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Lei Li
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Yamin Wu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Chun Zhu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Hui Gao
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Zichen Yang
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China; School of Internet of Things Engineering, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China
| | - Zirui Wang
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Xiaolin Li
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Anqi Hu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Jinzeng Xu
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Lvyuan Zhong
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Jialu Shen
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Anlan Huang
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China
| | - Guoqing Chen
- School of Science, Jiangnan University, Lihu Avenue 1800, 214122 Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Lihu Avenue 1800, 214122 Wuxi, China.
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Shi X, Li W, Guo Z, Wu M, Zhang X, Yuan L, Qiu X, Xing Y, Sun X, Xie H, Tang J. Comparative transcriptomic analysis of maize ear heterosis during the inflorescence meristem differentiation stage. BMC Plant Biol 2022; 22:348. [PMID: 35843937 PMCID: PMC9290290 DOI: 10.1186/s12870-022-03695-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Heterosis is widely used in many crops and is important for global food safety, and maize is one of the most successful crops to take advantage of heterosis. Gene expression patterns control the development of the maize ear, but the mechanisms by which heterosis affects transcriptional-level control are not fully understood. RESULTS In this study, we sampled ear inflorescence meristems (IMs) from the single-segment substitution maize (Zea mays) line lx9801hlEW2b, which contains the heterotic locus hlEW2b associated with ear width, as well as the receptor parent lx9801, the test parent Zheng58, and their corresponding hybrids Zheng58 × lx9801hlEW2b (HY) and Zheng58 × lx9801 (CK). After RNA sequencing and transcriptomic analysis, 2531 unique differentially expressed genes (DEGs) were identified between the two hybrids (HY vs. CK). Our results showed that approximately 64% and 48% of DEGs exhibited additive expression in HY and CK, whereas the other genes displayed a non-additive expression pattern. The DEGs were significantly enriched in GO functional categories of multiple metabolic processes, plant organ morphogenesis, and hormone regulation. These essential processes are potentially associated with heterosis performance during the maize ear developmental stage. In particular, 125 and 100 DEGs from hybrids with allele-specific expression (ASE) were specifically identified in HY and CK, respectively. Comparison between the two hybrids suggested that ASE genes were involved in different development-related processes that may lead to the hybrid vigor phenotype during maize ear development. In addition, several critical genes involved in auxin metabolism and IM development were differentially expressed between the hybrids and showed various expression patterns (additive, non-additive, and ASE). Changes in the expression levels of these genes may lead to differences in auxin homeostasis in the IM, affecting the transcription of core genes such as WUS that control IM development. CONCLUSIONS Our research suggests that additive, non-additive, and allele-specific expression patterns may fine-tune the expression of crucial DEGs that modulate carbohydrate and protein metabolic processes, nitrogen assimilation, and auxin metabolism to optimal levels, and these transcriptional changes may play important roles in maize ear heterosis. The results provide new information that increases our understanding of the relationship between transcriptional variation and heterosis during maize ear development, which may be helpful for clarifying the genetic and molecular mechanisms of heterosis.
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Affiliation(s)
- Xia Shi
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
| | - Weihua Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Zhanyong Guo
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Mingbo Wu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xiangge Zhang
- Henan Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
| | - Liang Yuan
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xiaoqian Qiu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Ye Xing
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xiaojing Sun
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Huiling Xie
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
- The Shennong Laboratory, Zhengzhou, Henan, 450002, China.
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Wan J, Wang Q, Zhao J, Zhang X, Guo Z, Hu D, Meng S, Lin Y, Qiu X, Mu L, Ding D, Tang J. Gene expression variation explains maize seed germination heterosis. BMC Plant Biol 2022; 22:301. [PMID: 35718761 PMCID: PMC9208091 DOI: 10.1186/s12870-022-03690-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] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Heterosis has been extensively utilized in plant breeding, however, the underlying molecular mechanism remains largely elusive. Maize (Zea mays), which exhibits strong heterosis, is an ideal material for studying heterosis. RESULTS In this study, there is faster imbibition and development in reciprocal crossing Zhengdan958 hybrids than in their parent lines during seed germination. To investigate the mechanism of heterosis of maize germination, comparative transcriptomic analyses were conducted. The gene expression patterns showed that 1324 (47.27%) and 1592 (66.44%) of the differential expression genes between hybrids and either parental line display parental dominance up or higher levels in the reciprocal cross of Zhengdan958, respectively. Notably, these genes were mainly enriched in metabolic pathways, including carbon metabolism, glycolysis/gluconeogenesis, protein processing in endoplasmic reticulum, etc. CONCLUSION: Our results provide evidence for the higher expression level genes in hybrid involved in metabolic pathways acting as main contributors to maize seed germinating heterosis. These findings provide new insights into the gene expression variation of maize embryos and improve the understanding of maize seed germination heterosis.
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Affiliation(s)
- Jiong Wan
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Qiyue Wang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jiawen Zhao
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xuehai Zhang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Zhanyong Guo
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Desheng Hu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Shujun Meng
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yuan Lin
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xiaoqian Qiu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Liqin Mu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
- The Shennong Laboratory, Zhengzhou, 450002, China.
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Shi XY, Zhang XL, Shi QY, Qiu X, Wu XB, Zheng BL, Jiang HX, Qin SY. IFN-γ affects pancreatic cancer properties by MACC1-AS1/MACC1 axis via AKT/mTOR signaling pathway. Clin Transl Oncol 2022; 24:1073-1085. [PMID: 35037236 DOI: 10.1007/s12094-021-02748-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/01/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Metastasis-related in colon cancer 1 (MACC1) is highly expressed in a variety of solid tumours, but its role in pancreatic cancer (PC) remains unknown. Interferon gamma (IFN-γ) affecting MACC1 expression was explored as the potential mechanism following its intervention. METHODS Expressions of MACC1 treated with IFN-γ gradient were confirmed by quantitative real-time PCR (qRT-PCR) and western blot (WB). Proliferation, migration, and invasion abilities of PC cells treated with IFN-γ were analysed by CCK8, EDU, colony formation, Transwell (with or without matrix gel) and wound-healing assays. Expression of antisense long non-coding RNA of MACC1, MACC1-AS1, and proteins of AKT/mTOR pathway, (pho-)AKT, and (pho-)mTOR was also assessed by qRT-PCR and WB. SiRNA kit and lentiviral fluid were conducted for transient expression of MACC1 and stable expression of MACC1-AS1, respectively. Rescue assays of cells overexpressing MACC1-AS1 and of cells silencing MACC1 were performed and cellular properties and proteins were assessed by the above-mentioned assays as well. RESULTS IFN-γ inhibited MACC1 expression in a time- and dose-dependent manner; 100 ng/mL IFN-γ generally caused downregulation of most significant (p ≤ 0.05). In vitro experiments revealed that IFN-γ decreased cellular proliferation, migration, and invasion abilities and downregulated the expression of pho-AKT and pho-mTOR (p ≤ 0.05). Conversely, overexpression of MACC1-AS1 upregulated pho-AKT and pho-mTOR proteins, and reversed cellular properties (p ≤ 0.05). Rescue assays alleviated the above changes of pho-AKT/ mTOR and cellular properties. CONCLUSION IFN-γ affected PC properties by MACC1-AS1/MACC1 axis via AKT/mTOR signaling pathway, which provides novel insight for candidate targets for treating PC.
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Affiliation(s)
- X-Y Shi
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X-L Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - Q-Y Shi
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X Qiu
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X-B Wu
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - B-L Zheng
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - H-X Jiang
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - S-Y Qin
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China.
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Yao Q, Liu M, Yuan K, Xin Y, Qiu X, Zheng X, Li C, Duan S, Qin J. Radiomics nomogram based on dual-energy spectral CT imaging to diagnose low bone mineral density. BMC Musculoskelet Disord 2022; 23:424. [PMID: 35524240 PMCID: PMC9074261 DOI: 10.1186/s12891-022-05389-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 04/28/2022] [Indexed: 11/28/2022] Open
Abstract
Background Osteoporosis is associated with a decrease of bone mineralized component as well as a increase of bone marrow fat. At present, there are few studies using radiomics nomogram based fat-water material decomposition (MD) images of dual-energy spectral CT as an evaluation method of abnormally low Bone Mineral Density (BMD). This study aims to establish and validate a radiomics nomogram based the fat-water imaging of dual-energy spectral CT in diagnosing low BMD. Methods Ninety-five patients who underwent dual-energy spectral CT included T11-L2 and dual x-ray absorptiometry (DXA) were collected. The patients were divided into two groups according to T-score, normal BMD(T ≥ -1) and abnormally low BMD (T < -1). Radiomic features were selected from fat-water imaging of the dual-energy spectral CT. Radscore was calculated by summing the selected features weighted by their coefficients. A nomogram combining the radiomics signature and significant clinical variables was built. The ROC curve was performed to evaluate the performance of the model. Finally, we used decision curve analysis (DCA) to evaluate the clinical usefulness of the model. Results Five radiomic features based on fat-water imaging of dual-energy spectral CT were constructed to distinguish abnormally low BMD from normal BMD, and its differential performance was high with an area under the curve (AUC) of 0.95 (95% CI, 0.89–1.00) in the training cohort and 0.97 (95% CI, 0.91–1.00) in the test cohort. The radiomics nomogram showed excellent differential ability with AUC of 0.96 (95%CI, 0.91–1.00) in the training cohort and 0.98 (95%CI, 0.93–1.00) in the test cohort, which performed better than the radiomics model and clinics model only. The DCA showed that the radiomics nomogram had a higher benefit in differentiating abnormally low BMD from normal BMD than the clinical model alone. Conclusion The radiomics nomogram incorporated radiomics features and clinical factor based the fat-water imaging of dual-energy spectral CT may serve as an efficient tool to identify abnormally low BMD from normal BMD well.
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Affiliation(s)
- Qianqian Yao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China
| | - Mengke Liu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China
| | - Kemei Yuan
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China
| | - Yue Xin
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China
| | - Xiaoqian Qiu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China
| | - Xiuzhu Zheng
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China
| | - Changqin Li
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China
| | - Shaofeng Duan
- GE Healthcare, Pudong new town, No1, Huatuo road, Shanghai, 210000, China
| | - Jian Qin
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Taian, 271000, Shandong, China.
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Chen N, Qiu X, Wang D, Cui BQ, Chang XD. [Establishment and stress analysis of a finite element model of a marathon runner's hip joint based on material properties given by CT gray value]. Zhonghua Yi Xue Za Zhi 2022; 102:679-682. [PMID: 35249314 DOI: 10.3760/cma.j.cn112137-20210817-01854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In this study, a finite element model of the hip joint of a marathon runner was established based on the method of assigning material properties by CT gray value, and the biomechanics of the hip joint were analyzed when standing on one foot. The results of the study demonstrated that the stress was concentrated in the arcuate line, the greater sciatic notch, the pubic comb, and the acetabular region in the pelvis model; in the femoral model, the stress was concentrated in the femoral head, medial side of femoral neck and femoral shaft. The stress is transmitted from the sacroiliac joint to the acetabular dome through the arcuate line, on one side of the femoral head, from the medial side of the femoral neck to the lower side of the lesser trochanter to the medial side of the femoral shaft, and on the other side from the upper side of the femoral neck to the lateral side of the femoral shaft. The maximum principal stress was distributed in the posterior superior of the acetabular roof (7.22 MPa) and the posterior superior of the femoral head (6.68 MPa). The displacement of the model was about 1 to 3 mm at the upper edge of the ilium, and gradually decreased along the femoral axis, and the displacement at the hip joint was about 0.1 to 0.3 mm.
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Affiliation(s)
- N Chen
- Department of Radiology, Zhongshan Hospital, Dalian University, Dalian 116000, China
| | - X Qiu
- Department of Orthopedics, Zhongshan Hospital, Dalian University, Dalian 116000, China
| | - D Wang
- Department of Radiology, Qiqihar First Hospital, Qiqihar 161000, China
| | - B Q Cui
- Zhongshan Clinical College of Dalian University, Dalian 116000, China
| | - X D Chang
- Department of Radiology, Zhongshan Hospital, Dalian University, Dalian 116000, China
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Yao Q, Liu J, Yuan K, Qiu X, Wang J, Li J, Li C, Zhu J, Qin J. Comparison of L1 CT-attenuation and cortical thickness in predicting osteoporosis by opportunistic CT. J Xray Sci Technol 2022; 30:631-640. [PMID: 35253725 DOI: 10.3233/xst-211106] [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] [Indexed: 06/14/2023]
Abstract
BACKGROUND In vertebrae, the amount of cortical bone has been estimated at 30-60%, but 45-75% of axial load on a vertebral body is borne by cortical bone. OBJECTIVE To compare the role of L1 CT-attenuation and cortical thickness in predicting osteoporosis by opportunistic CT and explore cortical thickness value in osteoporosis. METHODS We collected data of 94 patients who underwent DXA and thoracic and/or abdominal CT to demonstrate an entire L1 for other indications in routine practice. Patients were divided into three groups according to T-score: osteoporosis, osteopenia, or normal. CT-attenuation value and cortical thickness of L1 were measured. ANOVA analysis was utilized to analyze CT-attenuation and cortical thickness among the three groups. Sensitivity, specificity, and area under the curve (AUC) predicting low BMD were determined using ROC. Pearson correlations were employed to describe relationship between L1 BMD and CT-attenuation value, BMD, as well as cortical thickness. RESULTS The mean cortical thickness was 0.83±0.11, 0.72±0.10, and 0.64±0.09 mm for normal, osteopenia, and osteoporotic subgroups, respectively. A statistically significant difference was observed in cortical thickness and CT-attenuation value among these three subgroups. A mean CT-attenuation value threshold of > 148.7 yielded 73.0% sensitivity and 86.0% specificity for distinguishing low BMD from normal with an AUC = 0.83. Pearson correlation analysis indicated that BMD was positively correlated with CT-attenuation (r = 0.666, P < 0.001) and cortical thickness (r = 0.604, P < 0.001). CONCLUSIONS L1 CT-attenuation and cortical thickness measured on opportunistic CT can help predict osteoporosis. Compared with cortical thickness, CT-attenuation is a more sensitive and accurate index for distinguishing low BMD from normal.
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Affiliation(s)
- Qianqian Yao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Jiaojiao Liu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Kemei Yuan
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Xiaoqian Qiu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Jiemiao Wang
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Jiang Li
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Changqin Li
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Jianzhong Zhu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Jian Qin
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
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Qiu X, Chen H, Feng D, Dong W. [G-protein coupled receptor Smo positively regulates proliferation and migration of adult neural stem cells in vitro]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1588-1592. [PMID: 34755677 DOI: 10.12122/j.issn.1673-4254.2021.10.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the role of G-protein coupled receptor Smoothened (Smo) in regulating proliferation and migration of adult neural stem cells (ANSCs) and explore the underlying mechanism. METHODS Cultured ANSCs were treated with purmorphamine (PM, an agonist of Smo) or cyclopamine (CPM, an inhibitor of Smo), and the changes in cell proliferation migration abilities were assessed using cell counting kit-8 (CCK8) assay and wound healing assay, respectively. The mRNA expressions of membrane receptor Patched 1 (Ptch1), Smo, glioma-associated oncogene homolog 1 (Gli1), axon guidance cue slit1 (Slit1) and brain-derived neurotrophic factor (BDNF) in the treated cells were detected using real-time quantitative PCR (RT-PCR). RESULTS PM significantly promoted the proliferation (P < 0.01) and migration of ANSCs (P < 0.01), and up-regulated the mRNA expressions of Ptch1, Smo, Gli1, Slit1 and BDNF. Treatment with CPM significantly inhibited the proliferation and migration of ANSCs. CONCLUSION Modulating Smo activity can positively regulate the proliferation and migration of ANSCs possibly by regulating the expressions of BDNF and Slit1.
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Affiliation(s)
- X Qiu
- Experiment Teaching and Administration Center, Southern Medical University, Guangzhou 510515, China
| | - H Chen
- Department of Neurosurgery, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - D Feng
- Institute of Oncology, Southern Medical University, Guangzhou 510515, China
| | - W Dong
- Experiment Teaching and Administration Center, Southern Medical University, Guangzhou 510515, China
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Qiu X, Gao T, Yang J, Wang E, Liu L, Yuan H. Water-Soluble Humic Materials Modulating Metabolism and Triggering Stress Defense in Sinorhizobium fredii. Microbiol Spectr 2021; 9:e0029321. [PMID: 34479412 PMCID: PMC8552645 DOI: 10.1128/spectrum.00293-21] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 07/29/2021] [Indexed: 11/23/2022] Open
Abstract
Bacteria have evolved a series of mechanisms to maintain their survival and reproduction in changeable and stressful environments. In-depth understanding of these mechanisms can allow for better developing and utilizing of bacteria with various biological functions. In this study, we found that water-soluble humic materials (WSHM), a well-known environment-friendly plant growth biostimulant, significantly promoted the free-living growth and survival of Sinorhizobium fredii CCBAU45436 in a bell-shaped, dose-dependent manner, along with more-efficient carbon source consumption and relief of medium acidification. By using RNA-Seq analysis, a total of 1,136 genes significantly up-/downregulated by external addition of WSHM were identified under test conditions. These differentially expressed genes (DEGs) were enriched in functional categories related to carbon/nitrogen metabolism, cellular stress response, and genetic information processing. Further protein-protein interaction (PPI) network analysis and reverse genetic engineering indicated that WSHM might reprogram the transcriptome through inhibiting the expression of key hub gene rsh, which encodes a bifunctional enzyme catalyzing synthesis and hydrolysis of the "magic spot" (p)ppGpp. In addition, the root colonization and viability in soil of S. fredii CCBAU45436 were increased by WSHM. These findings provide us with new insights into how WSHM benefit bacterial adaptations and demonstrate great application value to be a unique inoculant additive. IMPORTANCE Sinorhizobium fredii CCBAU45436 is a highly effective, fast-growing rhizobium that can establish symbiosis with multiple soybean cultivars. However, it is difficult to maintain the high-density effective viable cells in the rhizobial inoculant for the stressful conditions during production, storage, transport, and application. Here, we showed that WSHM greatly increased the viable cells of S. fredii CCBAU45436 in culture, modulating metabolism and triggering stress defense. The root colonization and viability in soil of S. fredii CCBAU45436 were also increased by WSHM. Our results shed new insights into the effects of WSHM on bacteria and the importance of metabolism and stress defense during the bacteria's whole life. In addition, the functional mechanism of WSHM may provide candidate genes for improving environmental adaptability and application potential of bacteria through genetic engineering.
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Affiliation(s)
- Xiaoqian Qiu
- State Key Laboratory of Agrobiotechnology and Key Laboratory of Soil Microbiology, Ministry of Agriculture, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Tongguo Gao
- College of Life Sciences, Hebei Agricultural University, Baoding, China
| | - Jinshui Yang
- State Key Laboratory of Agrobiotechnology and Key Laboratory of Soil Microbiology, Ministry of Agriculture, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Entao Wang
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico
| | - Liang Liu
- State Key Laboratory of Agrobiotechnology and Key Laboratory of Soil Microbiology, Ministry of Agriculture, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Hongli Yuan
- State Key Laboratory of Agrobiotechnology and Key Laboratory of Soil Microbiology, Ministry of Agriculture, College of Biological Sciences, China Agricultural University, Beijing, China
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Lu S, Huang D, Chen X, Wang B, Xue J, Wang J, Bao Y, Liang L, Qiu X, Zhang L. 1290P RATIONALE 304: Tislelizumab (TIS) plus chemotherapy (chemo) vs chemo alone as first-line (1L) treatment for non-squamous (non-sq) non-small cell lung cancer (NSCLC) in patients (pts) who are smokers vs non-smokers. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Yin H, Chen M, Qiu X, Qiu X, Guo H. Can 68Ga-PSMA-11 PET/CT predict pathological upgrading of prostate cancer from MRI-targeted biopsy to radical prostatectomy? Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01286-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Abstract
The structural, electronic and magnetic properties of large area chemical vapor deposited monolayer MoS2 rely significantly on the presence of grain boundaries (GBs) and defects. In this study, first-principles calculations were performed to investigate the electronic and magnetic properties of transition metal doped MoS2 GBs. The experimentally observed 60° tilt GBs were demonstrated with four different atomic configurations and the nonmagnetic 4|8ud GB has the lowest formation energy among the considered models. Further calculations of 4|8ud GBs doped with TMs, such as V, Cr, Mn, Fe, Co and Ni, indicate that dopants can significantly lower the formation energies of the doped GBs compared to the perfect monolayer MoS2 by occupying the GB region instead of within the grains. Magnetism can be achieved in doped GB systems by careful defect engineering. CoMo, MnMo and Niint in 4|8ud GBs are predicted to be magnetic and simultaneously energetically favorable. The electron coupling between the doped TM and surrounding GB atoms is expected to induce magnetism and high electron mobilities into the systems. This study may pave the way for optimal design of MoS2-based electronic and spintronic devices.
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Affiliation(s)
- Xiaoqian Qiu
- Key Laboratory for Nonferrous Metal Materials Science and Engineering (MOE), School of Materials Science and Engineering, Central South University, Changsha, 410083, China
| | - Yiren Wang
- Key Laboratory for Nonferrous Metal Materials Science and Engineering (MOE), School of Materials Science and Engineering, Central South University, Changsha, 410083, China
| | - Yong Jiang
- Key Laboratory for Nonferrous Metal Materials Science and Engineering (MOE), School of Materials Science and Engineering, Central South University, Changsha, 410083, China
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Zhang T, Li W, Qiu X, Liu B, Li G, Feng C, Liao J, Lin K. [CRISPR/Cas9-mediated TEAD1 knockout induces phenotypic modulation of corpus cavernosum smooth muscle cells in diabetic rats with erectile dysfunction]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:567-573. [PMID: 33963717 DOI: 10.12122/j.issn.1673-4254.2021.04.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To construct a corpus cavemosum smooth muscle cell (CCSMCs) line with TEAD1 knockout from diabetic rats with erectile dysfunction (ED) using CRISPR/Cas9 technology and explore the role of TEAD1 in phenotypic modulation of CCSMCs in diabetic rats with ED. OBJECTIVE Models of diabetic ED were established in male Sprague-Dawley rats by intraperitoneal injection of streptozotocin. CCSMCs from the rat models were primarily cultured and identified with immunofluorescence assay. Three sgRNAs (sgRNA-1, sgRNA-2 and sgRNA-3) were transfected via lentiviral vectors into 293T cells to prepare the sgRNA-Cas9 lentivirus. CCSMCs from diabetic rats with ED were infected by the lentivirus, and the cellular expression of TEAD1 protein was detected using Western blotting. In CCSMCs infected with the sgRNA-Cas9 lentivirus (CCSMCs-sgRNA-2), or the empty lentiviral vector (CCSMCs-sgRNA-NC) and the blank control cells (CCSMCs-CK), the expressions of cellular phenotypic markers SMMHC, calponin and PCNA at the mRNA and protein levels were detected using real-time fluorescence quantitative RT-PCR (qRT-PCR) and Western blotting, respectively. OBJECTIVE The primarily cultured CCSMCs from diabetic rats with ED showed a high α-SMA-positive rate of over 95%. The recombinant lentivirus of TEAD1-sgRNA was successfully packaged, and stable TEAD1-deficient CCSMC lines derived from diabetic rat with ED were obtained. Western blotting confirmed that the protein expression of TEAD1 in TEAD1-sgRNA-2 group was the lowest (P < 0.05), and this cell line was used in subsequent experiment. The results of qRT-PCR and Western blotting showed significantly up-regulated expressions of SMMHC and calponin (all P < 0.05) and down-regulated expression of PCNA (all P < 0.05) at both the mRNA and protein levels in TEAD1-deficient CCSMCs from diabetic rats with ED. OBJECTIVE We successfully constructed a stable CCSMCs line with CRISPR/Cas9-mediated TEAD1 knockout from diabetic rats with ED. TEAD1 gene knockout can induce phenotype transformation of the CCSMCs from diabetic rats with ED from the synthetic to the contractile type.
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Affiliation(s)
- T Zhang
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - W Li
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Qiu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - B Liu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - G Li
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - C Feng
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - J Liao
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - K Lin
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
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He JR, Ramakrishnan R, Wei XL, Lu JH, Lu MS, Xiao WQ, Tu S, Liu X, Zhou FJ, Zhang LF, Xia HM, Qiu X. Fetal growth at different gestational periods and risk of impaired childhood growth, low childhood weight and obesity: a prospective birth cohort study. BJOG 2021; 128:1615-1624. [PMID: 33690938 DOI: 10.1111/1471-0528.16698] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To examine the longitudinal associations of fetal growth with adverse child growth outcomes and to assess whether maternal metabolic factors modify the associations. DESIGN Prospective cohort study. SETTING Born in Guangzhou Cohort Study, China. POPULATION A total of 4818 mother-child pairs. METHODS Fetal growth was assessed according to estimated fetal weight (EFW) from 22 weeks of gestation until birth and the measurement of the birthweight. Fetal growth Z-scores were computed from random effects in the multilevel linear spline models to represent fetal size in early pregnancy (22 weeks of gestation) and growth in mid-pregnancy (22-27 weeks of gestation), early third trimester (28-36 weeks of gestation) and late third trimester (≥37 weeks of gestation). MAIN OUTCOME MEASURES Z-scores for childhood stunting, low weight, overweight or obesity, length/height for age (LAZ/HAZ), weight for age (WAZ) and body mass index for age (BMIZ) at the age of 3 years. Adjusted associations were examined using multiple Poisson or linear regression models. RESULTS Increased Z-scores of fetal size in early pregnancy and growth in mid-pregnancy and early third trimester were associated with a higher risk of childhood overweight or obesity (risk ratios 1.25-1.45). Fetal growth in each period was negatively associated with stunting and low weight, with the strongest associations observed for fetal size in early pregnancy and growth in mid-pregnancy. The results for continuous outcomes (LAZ/HAZ, WAZ and BMIZ) were similar. The associations of fetal growth with overweight or obesity in childhood were stronger among mothers who were underweight and who were overweight or obese than among mothers of normal weight. CONCLUSIONS Accelerated fetal growth before 37 weeks of gestation is associated with children who are overweight or obese, whereas the critical period for stunting and low weight occurs before 28 weeks of gestation. TWEETABLE ABSTRACT Fetal growth during different periods is differentially associated with childhood stunting, underweight and overweight or obesity.
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Affiliation(s)
- J-R He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - R Ramakrishnan
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,University of New South Wales, Sydney, NSW, Australia
| | - X-L Wei
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - J-H Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - M-S Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - W-Q Xiao
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - S Tu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - X Liu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - F-J Zhou
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - L-F Zhang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - H-M Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Neonatal Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - X Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Obstetrics and Gynecology, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
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Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Deng J, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Yun JP, Huang D, Song Z, Fan X, Chen L, Yan X, Li Z, Huang ZC, Huang J, Luttrell J, Zhang CY, Zhou W, Zhang K, Yi C, Wu C, Shen H, Wang YP, Xiao HM, Deng HW. Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence. BMC Med 2021; 19:76. [PMID: 33752648 PMCID: PMC7986569 DOI: 10.1186/s12916-021-01942-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. METHODS Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. RESULTS Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. CONCLUSIONS This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.
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Affiliation(s)
- K S Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - G Yu
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Xu
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - X H Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China
| | - J Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Zheng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Deng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - L Shang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - R Liu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - S Su
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - X Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - Q Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - K Ma
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Qi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Hu
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - P Tang
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
| | - X Qiu
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - B Y Li
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - W D Shen
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - R P Quan
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - J T Yang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - L Y Huang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Y Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Z C Yang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, Hunan, China
| | - Z Li
- School of Life Sciences, Central South University, Changsha, 410013, Hunan, China
| | - S C Wang
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - H Ren
- Department of Pathology, Gongli Hospital, Second Military Medical University, Shanghai, 200135, China
- Department of Pathology, the Peace Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China
| | - C Liang
- Pathological Laboratory of Adicon Medical Laboratory Co., Ltd, Hangzhou, 310023, Zhejiang, China
| | - W Guo
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - Y Li
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - H Xiao
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Gu
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - J P Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - D Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Z Song
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - X Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - L Chen
- Department of Pathology, The first affiliated hospital, Air Force Medical University, Xi'an, 710032, China
| | - X Yan
- Institute of Pathology and southwest cancer center, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Z Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z C Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Luttrell
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - C Y Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - W Zhou
- College of Computing, Michigan Technological University, Houghton, MI, 49931, USA
| | - K Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - C Yi
- Department of Pathology, Ochsner Medical Center, New Orleans, LA, 70121, USA
| | - C Wu
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - H Shen
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Y P Wang
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - H M Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
| | - H W Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA.
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
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Lu S, Yu Y, Barnes G, Qiu X, Bao Y, Li J, Tang B. MO01.43 Examining the Impact of Tislelizumab Added to Platinum Doublet Chemotherapy on Health-Related Quality of Life in Patients with Non-Squamous NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2020.10.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Wang X, Zhou H, Du P, Lan R, Chen D, Dong A, Lin X, Qiu X, Xu S, Ji X, Li M, Hou X, Sun L, Li D, Han L, Li Z. Genomic epidemiology of Corynebacterium striatum from three regions of China: an emerging national nosocomial epidemic. J Hosp Infect 2020; 110:67-75. [PMID: 33166588 DOI: 10.1016/j.jhin.2020.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 05/06/2020] [Revised: 09/27/2020] [Accepted: 10/03/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Corynebacteritum straitum has been considered as an emerging multi-drug-resistant (MDR) pathogen. Isolation of MDR C. striatum as the only organism from respiratory samples from hospitalized patients is increasing in China. AIM To elucidate the genomic epidemiology and evolution of C. striatum in China. METHODS A total of 260 isolates from 2016 to 2018 were collected from three hospitals in three regions of China. Antibiotic sensitivity testing was performed on all isolates. Whole-genome sequencing was applied to all isolates to assess their genomic diversity and relationships and detect the presence of antimicrobial resistance genes (ARG) and ARG cassettes. FINDINGS Almost all isolates (96.2%, 250/260) showed multi-drug-resistance. Genome sequencing revealed four major lineages with lineage IV emerging as the epidemic lineage. Most of the diversity was developed in the last 6 years. Each hospital has its own predominant clones with potential spread between Hebei and Guangdong hospitals. Genomic analysis further revealed multiple antimicrobial resistance genes. CONCLUSIONS Our results suggested that four lineages of C. striatum have spread in parallel across China, causing persistent and extensive transmissions within hospitals. MDR C. striatum infection has become a national epidemic. Antibiotic-driven selection pressure may have played significant roles in forming persistent and predominant clones. Our data provide the basis for surveillance and prevention strategies to control the epidemic caused by MDR C. striatum.
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Affiliation(s)
- X Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - H Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - P Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - R Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - D Chen
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China
| | - A Dong
- University of Science and Technology Affiliated Hospital, Tangshan, 063000, China
| | - X Lin
- Guangzhou Panyu Central Hospital, Guangzhou, 510000, China
| | - X Qiu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - S Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - X Ji
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - M Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - X Hou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - L Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - D Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - L Han
- Department of Medicine, Tibet University, Lhasa, 850000, China
| | - Z Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China.
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Hu J, Hu W, Gao J, Yang J, Huang Q, Qiu X, Kong L, Lu J. Particle-Beam Radiation Therapy In The Treatment Of Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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45
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Yang J, Gao J, Qiu X, Hu J, Hu W, Huang Q, Kong L, Lu J. Excellent Local Control and Survivals after Particle Beam Radiation Therapy for Skull Base Malignancies. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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46
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Lu J, Zhao YJ, Zhou Y, He Q, Tian Y, Hao H, Qiu X, Jiang L, Zhao G, Huang CM. Modified staging system for gastric neuroendocrine carcinoma based on American Joint Committee on Cancer and European Neuroendocrine Tumor Society systems. Br J Surg 2020; 107:248-257. [PMID: 31971627 DOI: 10.1002/bjs.11408] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 08/04/2019] [Accepted: 10/01/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND The prognostic values of the AJCC staging system for gastric cancer (GC-AJCC), the AJCC staging system for gastric neuroendocrine tumours (NET-AJCC) and the European Neuroendocrine Tumor Society (ENETS) system for gastric neuroendocrine carcinoma and mixed adenoneuroendocrine carcinoma (MA)NEC remain controversial. METHODS Data on patients with (MA)NEC from 21 centres in China were analysed. Different staging systems were evaluated by performing Kaplan-Meier survival analysis and calculating the concordance index (C-index) and Akaike information criterion (AIC). Based on three existing systems, a modified staging system (mTNM) was developed. RESULTS A total of 871 patients were included. In the GC-AJCC system, an overlap was noticed for pT2 and pT3 categories. Patients with stage IIIC disease had a similar prognosis to those with stage IV disease. The pT categories of the NET-AJCC system had a lower C-index and higher AIC than those of the other systems. In the ENETS system, there was a low proportion (0·2 per cent) of patients with stage IIIA and a high proportion (67·6 per cent) of stage IIIB disease. The mTNM system adopted the NET-AJCC pT and GC-AJCC pN and pM definitions, and was developed based on the ENETS stage definitions. The proportion of patients in each stage was better distributed and the mTNM system showed improved prognostic performance in predicting overall and disease-free survival. CONCLUSION The mTNM system offers more accurate prognostic value for gastric (MA)NEC than the AJCC or ENETS staging systems.
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Affiliation(s)
- J Lu
- Departments of Gastric Surgery.,General Surgery, Fujian Medical University Union Hospital.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer.,Fujian Key Laboratory of Tumour Microbiology, Fujian Medical University
| | - Y J Zhao
- Department of Gastrointestinal Surgery, West District of the First Affiliated Hospital of the University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei
| | - Y Zhou
- Department of Gastrointestinal Surgery, Affiliated Hospital of Qingdao University, Qingdao
| | - Q He
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Fujian Medical University, Fuzhou
| | - Y Tian
- Department of Pancreatic and Gastric Surgery, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - H Hao
- Department of General Surgery, Huashan Hospital, Fudan University
| | - X Qiu
- Department of Gastrointestinal Surgery and Gastrointestinal Surgery Research Institute, Affiliated Hospital of Putian University, Putian
| | - L Jiang
- Department of Gastrointestinal Surgery, Yan Tai Yu Huang Ding Hospital, Yantai, China
| | - G Zhao
- Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiaotong University, Shanghai
| | - C-M Huang
- Departments of Gastric Surgery.,General Surgery, Fujian Medical University Union Hospital.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer.,Fujian Key Laboratory of Tumour Microbiology, Fujian Medical University
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Adamson P, Anghel I, Aurisano A, Barr G, Blake A, Cao SV, Carroll TJ, Castromonte CM, Chen R, Childress S, Coelho JAB, De Rijck S, Evans JJ, Feldman GJ, Flanagan W, Gabrielyan M, Germani S, Gomes RA, Gouffon P, Graf N, Grzelak K, Habig A, Hahn SR, Hartnell J, Hatcher R, Holin A, Huang J, Koerner LW, Kordosky M, Kreymer A, Lang K, Lucas P, Mann WA, Marshak ML, Mayer N, Mehdiyev R, Meier JR, Miller WH, Mills G, Naples D, Nelson JK, Nichol RJ, O'Connor J, Pahlka RB, Pavlović Ž, Pawloski G, Perch A, Pfützner MM, Phan DD, Plunkett RK, Poonthottathil N, Qiu X, Radovic A, Sail P, Sanchez MC, Schneps J, Schreckenberger A, Sharma R, Sousa A, Tagg N, Thomas J, Thomson MA, Timmons A, Todd J, Tognini SC, Toner R, Torretta D, Vahle P, Weber A, Whitehead LH, Wojcicki SG. Precision Constraints for Three-Flavor Neutrino Oscillations from the Full MINOS+ and MINOS Dataset. Phys Rev Lett 2020; 125:131802. [PMID: 33034464 DOI: 10.1103/physrevlett.125.131802] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 08/19/2020] [Indexed: 06/11/2023]
Abstract
We report the final measurement of the neutrino oscillation parameters Δm_{32}^{2} and sin^{2}θ_{23} using all data from the MINOS and MINOS+ experiments. These data were collected using a total exposure of 23.76×10^{20} protons on target producing ν_{μ} and ν[over ¯]_{μ} beams and 60.75 kt yr exposure to atmospheric neutrinos. The measurement of the disappearance of ν_{μ} and the appearance of ν_{e} events between the Near and Far detectors yields |Δm_{32}^{2}|=2.40_{-0.09}^{+0.08}(2.45_{-0.08}^{+0.07})×10^{-3} eV^{2} and sin^{2}θ_{23}=0.43_{-0.04}^{+0.20}(0.42_{-0.03}^{+0.07}) at 68% C.L. for normal (inverted) hierarchy.
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Affiliation(s)
- P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - I Anghel
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - A Aurisano
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - G Barr
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
| | - A Blake
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
- Lancaster University, Lancaster, LA1 4YB, United Kingdom
| | - S V Cao
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Carroll
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - C M Castromonte
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, GO, Brazil
| | - R Chen
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - S Childress
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J A B Coelho
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - S De Rijck
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J J Evans
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - G J Feldman
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - W Flanagan
- Department of Physics, University of Dallas, Irving, Texas 75062, USA
| | - M Gabrielyan
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - S Germani
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R A Gomes
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, GO, Brazil
| | - P Gouffon
- Instituto de Física, Universidade de São Paulo, CP 66318, 05315-970, São Paulo, SP, Brazil
| | - N Graf
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - K Grzelak
- Department of Physics, University of Warsaw, PL-02-093 Warsaw, Poland
| | - A Habig
- Department of Physics, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - S R Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J Hartnell
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Hatcher
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Holin
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J Huang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - L W Koerner
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - M Kordosky
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - A Kreymer
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Lang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - P Lucas
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - W A Mann
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - M L Marshak
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - N Mayer
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - R Mehdiyev
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J R Meier
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - W H Miller
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - G Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D Naples
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - J K Nelson
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - R J Nichol
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J O'Connor
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R B Pahlka
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Ž Pavlović
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G Pawloski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - A Perch
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M M Pfützner
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - D D Phan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R K Plunkett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - N Poonthottathil
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - X Qiu
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - A Radovic
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - P Sail
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - M C Sanchez
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - J Schneps
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - A Schreckenberger
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R Sharma
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Sousa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - J Thomas
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M A Thomson
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Timmons
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Todd
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - S C Tognini
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, GO, Brazil
| | - R Toner
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Torretta
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P Vahle
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - A Weber
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
- Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, OX11 0QX, United Kingdom
| | - L H Whitehead
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - S G Wojcicki
- Department of Physics, Stanford University, Stanford, California 94305, USA
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48
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Zeng H, Deng S, Zhou Z, Qiu X, Jia X, Li Z, Wang J, Duan H, Tu L, Wang J. Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases. Public Health 2020; 186:1-5. [PMID: 32731151 PMCID: PMC7351380 DOI: 10.1016/j.puhe.2020.07.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/30/2020] [Accepted: 07/06/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Nucleic acid testing is the gold standard method for the diagnosis of coronavirus disease 2019 (COVID-19); however, large numbers of false-negative results have been reported. In this study, nucleic acid detection and antibody detection (IgG and IgM) were combined to improve the testing accuracy of patients with suspected COVID-19. STUDY DESIGN The positive rate of nucleic acid detection and antibody detection (IgG and IgM) were compared in suspected COVID-19 patients. METHODS A total of 71 patients with suspected COVID-19 were selected to participate in this study, which included a retrospective analysis of clinical features, imaging examination, laboratory biochemical examination and nucleic acid detection and specific antibody (IgM and IgG) detection. RESULTS The majority of participants with suspected COVID-19 presented with fever (67.61%) and cough (54.93%), and the imaging results showed multiple small patches and ground-glass opacity in both lungs, with less common infiltration and consolidation opacity (23.94%). Routine blood tests were mostly normal (69.01%), although only a few patients had lymphopenia (4.23%) or leucopenia (12.68%). There was no statistical difference in the double-positive rate between nucleic acid detection (46.48%) and specific antibody (IgG and IgM) detection (42.25%) (P = 0.612), both of which were also poorly consistent with each other (kappa = 0.231). The positive rate of combined nucleic acid detection and antibody detection (63.38%) was significantly increased, compared with that of nucleic acid detection (46.48%) and that of specific antibody (IgG and IgM) detection (42.25%), and the differences were statistically significant (P = 0.043 and P = 0.012, respectively). CONCLUSIONS Nucleic acid detection and specific antibody (IgG and IgM) detection had similar positive rates, and their combination could improve the positive rate of COVID-19 detection, which is of great significance for diagnosis and epidemic control.
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Affiliation(s)
- H Zeng
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - S Deng
- Scientific Research Platform, The Second Clinical Medical College, Guangdong Medical University, Dongguan 523808, China
| | - Z Zhou
- Department of Radiology, Shenzhen People's Hospital, Shenzhen 518020, China
| | - X Qiu
- Special Clinic Department, Southern University of Science and Technology Hospital, Shenzhen 518052, China
| | - X Jia
- Department of Clinical Laboratory Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - Z Li
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - J Wang
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - H Duan
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - L Tu
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - J Wang
- Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.
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49
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Adamson P, An FP, Anghel I, Aurisano A, Balantekin AB, Band HR, Barr G, Bishai M, Blake A, Blyth S, Cao GF, Cao J, Cao SV, Carroll TJ, Castromonte CM, Chang JF, Chang Y, Chen HS, Chen R, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Childress S, Chu MC, Chukanov A, Coelho JAB, Cummings JP, Dash N, De Rijck S, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Evans JJ, Feldman GJ, Flanagan W, Gabrielyan M, Gallo JP, Germani S, Gomes RA, Gonchar M, Gong GH, Gong H, Gouffon P, Graf N, Grzelak K, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Habig A, Hackenburg RW, Hahn SR, Hans S, Hartnell J, Hatcher R, He M, Heeger KM, Heng YK, Higuera A, Holin A, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang J, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Koerner LW, Kohn S, Kordosky M, Kramer M, Kreymer A, Lang K, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li S, Li SC, Li SJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu Y, Liu YH, Lu C, Lu HQ, Lu JS, Lucas P, Luk KB, Ma XB, Ma XY, Ma YQ, Mann WA, Marshak ML, Marshall C, Martinez Caicedo DA, Mayer N, McDonald KT, McKeown RD, Mehdiyev R, Meier JR, Meng Y, Miller WH, Mills G, Mora Lepin L, Naples D, Napolitano J, Naumov D, Naumova E, Nelson JK, Nichol RJ, O'Connor J, Ochoa-Ricoux JP, Olshevskiy A, Pahlka RB, Pan HR, Park J, Patton S, Pavlović Ž, Pawloski G, Peng JC, Perch A, Pfützner MM, Phan DD, Plunkett RK, Poonthottathil N, Pun CSJ, Qi FZ, Qi M, Qian X, Qiu X, Radovic A, Raper N, Ren J, Reveco CM, Rosero R, Roskovec B, Ruan XC, Sail P, Sanchez MC, Schneps J, Schreckenberger A, Shaheed N, Sharma R, Sousa A, Steiner H, Sun JL, Tagg N, Thomas J, Thomson MA, Timmons A, Tmej T, Todd J, Tognini SC, Toner R, Torretta D, Treskov K, Tse WH, Tull CE, Vahle P, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weber A, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Whitehead LH, Wojcicki SG, Wong HLH, Wong SCF, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhou L, Zhuang HL. Improved Constraints on Sterile Neutrino Mixing from Disappearance Searches in the MINOS, MINOS+, Daya Bay, and Bugey-3 Experiments. Phys Rev Lett 2020; 125:071801. [PMID: 32857527 DOI: 10.1103/physrevlett.125.071801] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/13/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
Searches for electron antineutrino, muon neutrino, and muon antineutrino disappearance driven by sterile neutrino mixing have been carried out by the Daya Bay and MINOS+ collaborations. This Letter presents the combined results of these searches, along with exclusion results from the Bugey-3 reactor experiment, framed in a minimally extended four-neutrino scenario. Significantly improved constraints on the θ_{μe} mixing angle are derived that constitute the most constraining limits to date over five orders of magnitude in the mass-squared splitting Δm_{41}^{2}, excluding the 90% C.L. sterile-neutrino parameter space allowed by the LSND and MiniBooNE observations at 90% CL_{s} for Δm_{41}^{2}<13 eV^{2}. Furthermore, the LSND and MiniBooNE 99% C.L. allowed regions are excluded at 99% CL_{s} for Δm_{41}^{2}<1.6 eV^{2}.
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Affiliation(s)
- P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | - I Anghel
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - A Aurisano
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A B Balantekin
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - H R Band
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - G Barr
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Blake
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
- Lancaster University, Lancaster, LA1 4YB, United Kingdom
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - S V Cao
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Carroll
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - C M Castromonte
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - R Chen
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- Institute of High Energy Physics, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J J Cherwinka
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - S Childress
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | - A Chukanov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J A B Coelho
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | | | - N Dash
- Institute of High Energy Physics, Beijing
| | - S De Rijck
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - M Dvořák
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J J Evans
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - G J Feldman
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - W Flanagan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
- Department of Physics, University of Dallas, Irving, Texas 75062, USA
| | - M Gabrielyan
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - S Germani
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R A Gomes
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - P Gouffon
- Instituto de Física, Universidade de São Paulo, CP 66318, 05315-970, São Paulo, Sao Paulo, Brazil
| | - N Graf
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - K Grzelak
- Department of Physics, University of Warsaw, PL-02-093 Warsaw, Poland
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - A Habig
- Department of Physics, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - R W Hackenburg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S R Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Hartnell
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Hatcher
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - A Higuera
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - A Holin
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J Huang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - Y B Huang
- Institute of High Energy Physics, Beijing
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L W Koerner
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Kordosky
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - A Kreymer
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Lang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S J Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Y Liu
- Shandong University, Jinan
| | | | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - J S Lu
- Institute of High Energy Physics, Beijing
| | - P Lucas
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - W A Mann
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - M L Marshak
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - D A Martinez Caicedo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - N Mayer
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - R D McKeown
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
- Lauritsen Laboratory, California Institute of Technology, Pasadena, California 91125, USA
| | - R Mehdiyev
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J R Meier
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - W H Miller
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - G Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - L Mora Lepin
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - D Naples
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J K Nelson
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - R J Nichol
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J O'Connor
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - R B Pahlka
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - Ž Pavlović
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - G Pawloski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - A Perch
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M M Pfützner
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - D D Phan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R K Plunkett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - N Poonthottathil
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Qiu
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - A Radovic
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B Roskovec
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - P Sail
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - M C Sanchez
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - J Schneps
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - A Schreckenberger
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - R Sharma
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Sousa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - J Thomas
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M A Thomson
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Timmons
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J Todd
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - S C Tognini
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - R Toner
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Torretta
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - P Vahle
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - W Wang
- Nanjing University, Nanjing
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - A Weber
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
- Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, OX11 0QX, United Kingdom
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | - K Whisnant
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - C White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - L H Whitehead
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - S G Wojcicki
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S C F Wong
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - F L Wu
- Nanjing University, Nanjing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B L Young
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
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Mi X, Lai K, Yan L, Xie S, Qiu X, Xiao S, Wei S. miR-18a expression in basal cell carcinoma and regulatory mechanism on autophagy through mTOR pathway. Clin Exp Dermatol 2020; 45:1027-1034. [PMID: 32485050 DOI: 10.1111/ced.14322] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 04/11/2020] [Accepted: 05/27/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Basal cell carcinoma (BCC) is the most common form of skin carcinoma. AIM To investigate the function of key micro(mi)RNAs and to explore the potential molecular mechanisms involved in BCC. METHODS The microarray dataset GSE34535, which comprises seven BCC samples and seven control samples, was downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs (DE-miRNAs) were identified. We collected tissue samples from 20 patients with BCC and 20 healthy controls (HCs), to compare the miR-18a expression in their tissue samples. Expression of miR-18a in A431 and HaCaT cells was also assayed. Following this, we upregulated and downregulated miR-18a expression in A431 cells to examine the effects on cell proliferation, migration and apoptosis. To further investigate the relative mechanism, the proteins LC3, Beclin 1, Akt and mammalian target of rapamycin (mTOR) were examined by quantitative real-time PCR and Western blotting. For further verification, we examined the expression of LC3 in the 20 BCC and 20 HC tissue samples. RESULTS In total, 19 DE-miRNAs (13 upregulated and 6 downregulated) that were common to the BCC and HC groups were identified. Levels of miR-18a were about three-fold higher in BCC tissues and A431 cells compared with their respective control groups. In vitro, downregulation of miR-18a was shown to inhibit cell proliferation and activate autophagy via the Akt/mTOR signalling pathway, while upregulation of miR-18a promoted proliferation of these cells. LC3 was decreased in BCC compared with HC tissue samples. CONCLUSIONS Our data support an oncogenic role of miR-18a through a novel Akt/mTOR/Beclin 1/LC3 axis, and suggest that the antitumour effects of miR-18a inhibitor may make it suitable for BCC therapy.
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Affiliation(s)
- X Mi
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - K Lai
- Department of, Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - L Yan
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - S Xie
- Department of, Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - X Qiu
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - S Xiao
- Department of, Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - S Wei
- Departments of, Department of, Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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