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Sun W, Wang Z, Wen S, Huang A, Li H, Jiang L, Feng Q, Fan D, Tian Q, Han D, Liu X. Technical strategy for monozygotic twin discrimination by single-nucleotide variants. Int J Legal Med 2024; 138:767-779. [PMID: 38197923 DOI: 10.1007/s00414-023-03150-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 12/11/2023] [Indexed: 01/11/2024]
Abstract
Monozygotic (MZ) twins are theoretically genetically identical. Although they are revealed to accumulate mutations after the zygote splits, discriminating between twin genomes remains a formidable challenge in the field of forensic genetics. Single-nucleotide variants (SNVs) are responsible for a substantial portion of genetic variation, thus potentially serving as promising biomarkers for the identification of MZ twins. In this study, we sequenced the whole genome of a pair of female MZ twins when they were 27 and 33 years old to approximately 30 × coverage using peripheral blood on an Illumina NovaSeq 6000 Sequencing System. Potentially discordant SNVs supported by whole-genome sequencing were validated extensively by amplicon-based targeted deep sequencing and Sanger sequencing. In total, we found nine bona fide post-twinning SNVs, all of which were identified in the younger genomes and found in the older genomes. None of the SNVs occurred within coding exons, three of which were observed in introns, supported by whole-exome sequencing results. A double-blind test was employed, and the reliability of MZ twin discrimination by discordant SNVs was endorsed. All SNVs were successfully detected when input DNA amounts decreased to 0.25 ng, and reliable detection was limited to seven SNVs below 0.075 ng input. This comprehensive analysis confirms that SNVs could serve as cost-effective biomarkers for MZ twin discrimination.
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Affiliation(s)
- Weifen Sun
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ziwei Wang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Shubo Wen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Ao Huang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Hui Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
| | - Lei Jiang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Danlin Fan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Qilin Tian
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Dingding Han
- Department of Clinical Laboratory, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Xiling Liu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
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Chen R, Lu H, Wang Y, Tian Q, Zhou C, Wang A, Feng Q, Gong S, Zhao Q, Han B. High-throughput UAV-based rice panicle detection and genetic mapping of heading-date-related traits. Front Plant Sci 2024; 15:1327507. [PMID: 38562563 PMCID: PMC10984267 DOI: 10.3389/fpls.2024.1327507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/19/2024] [Indexed: 04/04/2024]
Abstract
Introduction Rice (Oryza sativa) serves as a vital staple crop that feeds over half the world's population. Optimizing rice breeding for increasing grain yield is critical for global food security. Heading-date-related or Flowering-time-related traits, is a key factor determining yield potential. However, traditional manual phenotyping methods for these traits are time-consuming and labor-intensive. Method Here we show that aerial imagery from unmanned aerial vehicles (UAVs), when combined with deep learning-based panicle detection, enables high-throughput phenotyping of heading-date-related traits. We systematically evaluated various state-of-the-art object detectors on rice panicle counting and identified YOLOv8-X as the optimal detector. Results Applying YOLOv8-X to UAV time-series images of 294 rice recombinant inbred lines (RILs) allowed accurate quantification of six heading-date-related traits. Utilizing these phenotypes, we identified quantitative trait loci (QTL), including verified loci and novel loci, associated with heading date. Discussion Our optimized UAV phenotyping and computer vision pipeline may facilitate scalable molecular identification of heading-date-related genes and guide enhancements in rice yield and adaptation.
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Affiliation(s)
- Rulei Chen
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Hengyun Lu
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yongchun Wang
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qilin Tian
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Congcong Zhou
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Ahong Wang
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qi Feng
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Songfu Gong
- Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qiang Zhao
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Bin Han
- National Center for Gene Research, Key Laboratory of Plant Design/National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
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Tian Q, Xie X, Lai R, Cheng C, Zhang Z, Chen Y, XuHan X, Lin Y, Lai Z. Functional and Transcriptome Analysis Reveal Specific Roles of Dimocarpus longan DlRan3A and DlRan3B in Root Hair Development, Reproductive Growth, and Stress Tolerance. Plants (Basel) 2024; 13:480. [PMID: 38498444 PMCID: PMC10891736 DOI: 10.3390/plants13040480] [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: 12/30/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 03/20/2024]
Abstract
Ran GTPases play essential roles in plant growth and development. Our previous studies revealed the nuclear localization of DlRan3A and DlRan3B proteins and proposed their functional redundancy and distinction in Dimocarpus longan somatic embryogenesis, hormone, and abiotic stress responses. To further explore the possible roles of DlRan3A and DlRan3B, gene expression analysis by qPCR showed that their transcripts were both more abundant in the early embryo and pulp in longan. Heterologous expression of DlRan3A driven by its own previously cloned promoter led to stunted growth, increased root hair density, abnormal fruits, bigger seeds, and enhanced abiotic stress tolerance. Conversely, constitutive promoter CaMV 35S (35S)-driven expression of DlRan3A, 35S, or DlRan3B promoter-controlled expression of DlRan3B did not induce the alterations in growth phenotype, while they rendered different hypersensitivities to abiotic stresses. Based on the transcriptome profiling of longan Ran overexpression in tobacco plants, we propose new mechanisms of the Ran-mediated regulation of genes associated with cell wall biosynthesis and expansion. Also, the transgenic plants expressing DlRan3A or DlRan3B genes controlled by 35S or by their own promoter all exhibited altered mRNA levels of stress-related and transcription factor genes. Moreover, DlRan3A overexpressors were more tolerant to salinity, osmotic, and heat stresses, accompanied by upregulation of oxidation-related genes, possibly involving the Ran-RBOH-CIPK network. Analysis of a subset of selected genes from the Ran transcriptome identified possible cold stress-related roles of brassinosteroid (BR)-responsive genes. The marked presence of genes related to cell wall biosynthesis and expansion, hormone, and defense responses highlighted their close regulatory association with Ran.
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Affiliation(s)
- Qilin Tian
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
| | - Xiying Xie
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
- School of Media and Design, Nantong Institute of Technology, Nantong 226019, China
| | - Ruilian Lai
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
| | - Chunzhen Cheng
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
| | - Zihao Zhang
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
| | - Yukun Chen
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
| | - Xu XuHan
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
- Institut de la Recherche Interdisciplinaire de Toulouse, IRIT-ARI, 31300 Toulouse, France
| | - Yuling Lin
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
| | - Zhongxiong Lai
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.T.); (X.X.); (R.L.); (C.C.); (Z.Z.); (Y.C.); (X.X.); (Y.L.)
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Zhao Y, Pei F, Yang N, Sun H, Gao Z, Tian Q, Lu X. [Epidemiological and clinical characteristics of human ocular helaziasis in China from 2011 to 2022 based on bibliometrics]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:513-516. [PMID: 38148542 DOI: 10.16250/j.32.1374.2023061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To understand the clinical and epidemiological characteristics of human ocular thelaziasis patients in China. METHODS Case reports regarding human ocular thelaziasis cases in China were retrieved in international and national electronic databases, including CNKI, VIP, CBM, Traditional Chinese Medical Literature Analysis and Retrieval System, Wanfang Database, PubMed and Web of Science from 2011 to 2022. Patients' gender, age, clinical symptoms, treatment, recurrence, site of infections, time of onset, affected eye, affected sites, number of infected Thelazia callipaeda, sex of T. callipaeda and source of infections were extracted for descriptive analyses. RESULTS A total of 85 eligible publications were included, covering 101 cases of human ocular thelaziasis, including 57 males (56.44%) and 44 females (43.56%) and aged from 3 months to 85 years. The main clinical manifestations included foreign body sensation (56 case-times, 22.49%), eye itching (38 case-times, 15.26%), abnormal or increased secretions (36 case-times, 14.46%), tears (28 case-times, 11.24%) and eye redness (28 case-times, 11.24%), and conjunctival congestion (50 case-times, 41.67%) was the most common clinical sign. The most common main treatment (99/101, 98.02%) was removal of parasites from eyes using ophthalmic forceps, followed by administration with ofloxacin and pranoprofen. In publications presenting thelaziasis recurrence, there were 90 cases without recurrence (97.83%) and 2 cases with recurrence (2.17%). Of all cases, 51.96% were reported in four provinces of Hubei, Shandong, Sichuan, Hebei and Henan, and ocular thelaziasis predominantly occurred in summer (42.19%) and autumn (42.19%). In addition, 56.45% (35/62) had a contact with dogs. CONCLUSIONS The human thelaziasis cases mainly occur in the continental monsoon and subtropical monsoon climate areas such as the Yellow River and the Yangtze River basin, and people of all ages and genders have the disease, with complex clinical symptoms and signs. Personal hygiene is required during the contact with dogs, cats and other animals, and individual protection is required during outdoor activities to prevent thelaziasis.
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Affiliation(s)
- Y Zhao
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - F Pei
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - N Yang
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - H Sun
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Z Gao
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Q Tian
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Shandong Academy of Eye Disease Prevention and Therapy, Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan, Shandong 250002, China
| | - X Lu
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Shandong Academy of Eye Disease Prevention and Therapy, Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan, Shandong 250002, China
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5
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Zhang X, Feng Q, Miao J, Zhu J, Zhou C, Fan D, Lu Y, Tian Q, Wang Y, Zhan Q, Wang ZQ, Wang A, Zhang L, Shangguan Y, Li W, Chen J, Weng Q, Huang T, Tang S, Si L, Huang X, Wang ZX, Han B. The WD40 domain-containing protein Ehd5 positively regulates flowering in rice (Oryza sativa). Plant Cell 2023; 35:4002-4019. [PMID: 37648256 PMCID: PMC10615205 DOI: 10.1093/plcell/koad223] [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: 02/14/2023] [Revised: 07/10/2023] [Accepted: 07/24/2023] [Indexed: 09/01/2023]
Abstract
Heading date (flowering time), which greatly influences regional and seasonal adaptability in rice (Oryza sativa), is regulated by many genes in different photoperiod pathways. Here, we characterized a heading date gene, Early heading date 5 (Ehd5), using a modified bulked segregant analysis method. The ehd5 mutant showed late flowering under both short-day and long-day conditions, as well as reduced yield, compared to the wild type. Ehd5, which encodes a WD40 domain-containing protein, is induced by light and follows a circadian rhythm expression pattern. Transcriptome analysis revealed that Ehd5 acts upstream of the flowering genes Early heading date 1 (Ehd1), RICE FLOWERING LOCUS T 1 (RFT1), and Heading date 3a (Hd3a). Functional analysis showed that Ehd5 directly interacts with Rice outermost cell-specific gene 4 (Roc4) and Grain number, plant height, and heading date 8 (Ghd8), which might affect the formation of Ghd7-Ghd8 complexes, resulting in increased expression of Ehd1, Hd3a, and RFT1. In a nutshell, these results demonstrate that Ehd5 functions as a positive regulator of rice flowering and provide insight into the molecular mechanisms underlying heading date.
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Affiliation(s)
- Xuening Zhang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
- University of Chinese Academy of Sciences, Beijing 100049,China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Jiashun Miao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Jingjie Zhu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Congcong Zhou
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Danlin Fan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Yiqi Lu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Qilin Tian
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Yongchun Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Qilin Zhan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Zi-Qun Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Ahong Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Lei Zhang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Yingying Shangguan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Wenjun Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Jiaying Chen
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Qijun Weng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Tao Huang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Shican Tang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Lizhen Si
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Xuehui Huang
- College of Life Sciences, Shanghai Normal University, Shanghai 200234,China
| | - Zi-Xuan Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233,China
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6
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Gu Z, Gong J, Zhu Z, Li Z, Feng Q, Wang C, Zhao Y, Zhan Q, Zhou C, Wang A, Huang T, Zhang L, Tian Q, Fan D, Lu Y, Zhao Q, Huang X, Yang S, Han B. Structure and function of rice hybrid genomes reveal genetic basis and optimal performance of heterosis. Nat Genet 2023; 55:1745-1756. [PMID: 37679493 PMCID: PMC10562254 DOI: 10.1038/s41588-023-01495-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 08/02/2023] [Indexed: 09/09/2023]
Abstract
Exploitation of crop heterosis is crucial for increasing global agriculture production. However, the quantitative genomic analysis of heterosis was lacking, and there is currently no effective prediction tool to optimize cross-combinations. Here 2,839 rice hybrid cultivars and 9,839 segregation individuals were resequenced and phenotyped. Our findings demonstrated that indica-indica hybrid-improving breeding was a process that broadened genetic resources, pyramided breeding-favorable alleles through combinatorial selection and collaboratively improved both parents by eliminating the inferior alleles at negative dominant loci. Furthermore, we revealed that widespread genetic complementarity contributed to indica-japonica intersubspecific heterosis in yield traits, with dominance effect loci making a greater contribution to phenotypic variance than overdominance effect loci. On the basis of the comprehensive dataset, a genomic model applicable to diverse rice varieties was developed and optimized to predict the performance of hybrid combinations. Our data offer a valuable resource for advancing the understanding and facilitating the utilization of heterosis in rice.
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Affiliation(s)
- Zhoulin Gu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Junyi Gong
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
| | - Zhou Zhu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhen Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Changsheng Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Yan Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Qilin Zhan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Congcong Zhou
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Ahong Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Tao Huang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Lei Zhang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Qilin Tian
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Danlin Fan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Yiqi Lu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Qiang Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Xuehui Huang
- College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Shihua Yang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China.
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China.
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7
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Luo J, Bai X, Huang K, Wang T, Yang R, Li L, Tian Q, Xu R, Li T, Wang Y, Chen Y, Gao P, Chen J, Yang B, Ma Y, Jiao L. Clinical Relevance of Plaque Distribution for Basilar Artery Stenosis. AJNR Am J Neuroradiol 2023; 44:530-535. [PMID: 37024307 PMCID: PMC10171387 DOI: 10.3174/ajnr.a7839] [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: 11/20/2022] [Accepted: 03/01/2023] [Indexed: 04/08/2023]
Abstract
BACKGROUND AND PURPOSE There is no clear association between plaque distribution and postoperative complications in patients with basilar artery atherosclerotic stenosis. The aim of this study was to determine whether plaque distribution and postoperative complications after endovascular treatment for basilar artery stenosis are related. MATERIALS AND METHODS Our study enrolled patients with severe basilar artery stenosis who were scanned with high-resolution MR imaging and followed by DSA before the intervention. According to high-resolution MR imaging, plaques can be classified as ventral, lateral, dorsal, or involved in 2 quadrants. Plaques affecting the proximal, distal, or junctional segments of the basilar artery were classified according to DSA. An experienced independent team assessed ischemic events after the intervention using MR imaging. Further analysis was conducted to determine the relationship between plaque distribution and postoperative complications. RESULTS A total of 140 eligible patients were included in the study, with a postoperative complication rate of 11.4%. These patients were an average age of 61.9 (SD, 7.7) years. Dorsal wall plaques accounted for 34.3% of all plaques, and plaques distal to the anterior-inferior cerebellar artery accounted for 60.7%. Postoperative complications of endovascular treatment were associated with plaques located at the lateral wall (OR = 4.00; 95% CI, 1.21-13.23; P = .023), junctional segment (OR = 8.75; 95% CI, 1.16-66.22; P = .036), and plaque burden (OR = 1.03; 95% CI, 1.01-1.06; P = .042). CONCLUSIONS Plaques with a large burden located at the junctional segment and lateral wall of the basilar artery may increase the likelihood of postoperative complications following endovascular therapy. A larger sample size is needed for future studies.
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Affiliation(s)
- J Luo
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - X Bai
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - K Huang
- The Eighth Affiliated Hospital (K.H.), SUN YAT-SEN University, Shenzhen, Guangdong Province, China
| | - T Wang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - R Yang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - L Li
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Q Tian
- Xuanwu Hospital, Beijing Key Laboratory of Clinical Epidemiology (Q.T.), School of Public Health
| | - R Xu
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - T Li
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Y Wang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Y Chen
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - P Gao
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
- Department of Interventional Radiology (P.G., L.J.), Xuanwu Hospital, Capital Medical University, Beijing, China
| | - J Chen
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - B Yang
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - Y Ma
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
| | - L Jiao
- From the China International Neuroscience Institute (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.), Beijing, China
- Department of Neurosurgery (J.L., X.B., T.W., R.Y., L.L., R.X., T.L., Y.W., Y.C., P.G., J.C., B.Y., Y.M., L.J.)
- Department of Interventional Radiology (P.G., L.J.), Xuanwu Hospital, Capital Medical University, Beijing, China
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Shen W, Peng Z, Wang X, Wang H, Cen J, Jiang D, Xie L, Yang X, Tian Q. A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction. IEEE Trans Pattern Anal Mach Intell 2023; PP:1-20. [PMID: 37027561 DOI: 10.1109/tpami.2023.3246102] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
The rapid development of deep learning has made a great progress in image segmentation, one of the fundamental tasks of computer vision. However, the current segmentation algorithms mostly rely on the availability of pixel-level annotations, which are often expensive, tedious, and laborious. To alleviate this burden, the past years have witnessed an increasing attention in building label-efficient, deep-learning-based image segmentation algorithms. This paper offers a comprehensive review on label-efficient image segmentation methods. To this end, we first develop a taxonomy to organize these methods according to the supervision provided by different types of weak labels (including no supervision, inexact supervision, incomplete supervision and inaccurate supervision) and supplemented by the types of segmentation problems (including semantic segmentation, instance segmentation and panoptic segmentation). Next, we summarize the existing label-efficient image segmentation methods from a unified perspective that discusses an important question: how to bridge the gap between weak supervision and dense prediction - the current methods are mostly based on heuristic priors, such as cross-pixel similarity, cross-label constraint, cross-view consistency, and cross-image relation. Finally, we share our opinions about the future research directions for label-efficient deep image segmentation.
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Ke P, Xu M, Xu J, Yuan X, Ni W, Sun Y, Zhang H, Zhang Y, Tian Q, Dowling R, Jiang H, Zhao Z, Lu Z. Association of residential greenness with the risk of metabolic syndrome in Chinese older adults: a longitudinal cohort study. J Endocrinol Invest 2023; 46:327-335. [PMID: 36006585 DOI: 10.1007/s40618-022-01904-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
AIMS We aimed to investigate the association between residential greenness and MetS in older Chinese adults. METHODS Longitudinal data on sociodemographic characteristics and lifestyle were collected from the Shenzhen Healthy Ageing Research (SHARE) cohort. Greenness exposure was assessed through satellite-derived Normalized Difference Vegetation Index (NDVI) values in the 250-m, 500-m, and 1250-m radius around the residential address for each participant. MetS was defined by standard guidelines for the Chinese population. RESULTS A total of 49,893 older Chinese adults with a mean age of 70.96 (SD = 5.26) years were included in the study. In the fully adjusted models, participants who lived in the highest quartile of NDVI250-m, NDVI500-m, and NDVI1250-m had a 15% (odds ratio, OR = 0.85, 95% confidence interval, CI: 0.80-0.90), 12% (OR = 0.88, 95% CI: 0.83-0.93), and 11% (OR = 0.89, 95% CI: 0.85-0.95) lower incidence of MetS, respectively, than those living in the lowest quartile (all p-trend < 0.01). Interactions and subgroup analyses showed that age, sex, smoking status, and drinking status were significant effect modifiers (p-interaction for all NDVI < 0.05). CONCLUSIONS Residential greenness is associated with a lower risk of MetS in Chinese older adults, especially for young older adults, females, non-smokers, and non-drinkers.
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Affiliation(s)
- P Ke
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - M Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - J Xu
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - X Yuan
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - W Ni
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Sun
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - H Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Q Tian
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Dowling
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia
| | - H Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia.
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
| | - Z Zhao
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China.
| | - Z Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China.
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Bai X, Fu Z, Sun Z, Xu R, Guo X, Tian Q, Dmytriw AA, Zhao H, Wang W, Wang X, Patel AB, Yang B, Jiao L. Thrombectomy Using the EmboTrap Clot-Retrieving Device for the Treatment of Acute Ischemic Stroke: A Glimpse of Clinical Evidence. AJNR Am J Neuroradiol 2022; 43:1736-1742. [PMID: 36456081 DOI: 10.3174/ajnr.a7708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 10/11/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND The EmboTrap Recanalization Device is a novel stent retriever for thrombectomy in the setting of acute ischemic stroke due to large-vessel occlusion. PURPOSE Our aim was to summarize the safety and efficacy of the EmboTrap Recanalization Device in acute ischemic stroke-large-vessel occlusion through a systematic review and meta-analysis. DATA SOURCES Medline, EMBASE, the Cochrane Library, Web of Science, and Google Scholar were searched up to April 2022. STUDY SELECTION Nine observational studies using the EmboTrap Recanalization Device were selected. DATA ANALYSIS We adapted effect size with 95% CIs for dichotomous data. P value <.05 was statistically significant. DATA SYNTHESIS The estimated rate of successful recanalization (modified TICI 2b-3) was 90% (95% CI, 86%-95%; I 2 = 82.4%); 90-day favorable outcome (mRS 0-2), 53% (95% CI, 42%-63%; I 2 = 88.6%); modified first-pass effect, 43% (95% CI, 35%-51%; I 2 = 63.7%); and first-pass effect, 36% (95% CI, 29%-46%; I 2 = 10.7%). The rate of any intracerebral hemorrhage was 19% (95% CI, 16%-22%; I 2 = 0.0%); symptomatic intracerebral hemorrhage, 5% (95% CI, 1%-8%; I 2 = 84.6%); and 90-day mortality, 14% (95% CI, 9%-19%; I 2 = 79.3%). Subgroup analysis showed higher rates of complete recanalization for EmboTrap II than for the EmboTrap System. LIMITATIONS The included studies are single-arm without direct comparison with other stent retrievers. Some of the studies recruited had a small sample size and were limited by the retrospective study design. In addition, the uncertain heterogeneity among studies was high. CONCLUSIONS The EmboTrap Recanalization Device is safe and efficient in treating acute ischemic stroke due to large-vessel occlusion.
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Affiliation(s)
- X Bai
- From the Departments of Neurosurgery (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.).,China International Neuroscience Institute (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.), Beijing, China
| | - Z Fu
- From the Departments of Neurosurgery (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.).,China International Neuroscience Institute (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.), Beijing, China
| | - Z Sun
- From the Departments of Neurosurgery (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.).,China International Neuroscience Institute (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.), Beijing, China
| | - R Xu
- From the Departments of Neurosurgery (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.).,China International Neuroscience Institute (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.), Beijing, China
| | - X Guo
- Department of Neurology (X.G.), Loma Linda University Health, Loma Linda, California
| | - Q Tian
- Beijing Key Laboratory of Clinical Epidemiology (Q.T.), School of Public Health, Capital Medical University, Beijing, China
| | - A A Dmytriw
- Neuroendovascular Program (A.A.D.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - H Zhao
- From the Departments of Neurosurgery (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.).,China International Neuroscience Institute (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.), Beijing, China
| | - W Wang
- Library (W.W., X.W., A.B.P.)
| | - X Wang
- Library (W.W., X.W., A.B.P.)
| | | | - B Yang
- From the Departments of Neurosurgery (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.).,China International Neuroscience Institute (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.), Beijing, China
| | - L Jiao
- From the Departments of Neurosurgery (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.) .,Interventional Neuroradiology (L.J.), Xuanwu Hospital, Capital Medical University, Xicheng District, Beijing, China.,China International Neuroscience Institute (X.B., Z.F., Z.S., R.X., H.Z., B.Y., L.J.), Beijing, China
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Ruan J, Tian Q, Wang Y, Chang K, Yi X. 8659 Interleukin-33 Promotes Endometriosis Fibrosis by Inducing Fibroblast to Myofibroblast Transformation. J Minim Invasive Gynecol 2022. [DOI: 10.1016/j.jmig.2022.09.455] [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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12
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Tian Q, Zheng Y, Chang K, Yi X. 8795 Impact of Surgical Procedures on Intestinal Function and Quality of Life in Patients with Deep Endometriosis: A Prospective Study. J Minim Invasive Gynecol 2022. [DOI: 10.1016/j.jmig.2022.09.486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Tian Q, Park MK, Yang X. Mandarin Chinese wh-in-situ argument–adjunct asymmetry in island sensitivity: Evidence from a formal judgment study. Front Psychol 2022; 13:954175. [PMID: 36160599 PMCID: PMC9505917 DOI: 10.3389/fpsyg.2022.954175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/08/2022] [Indexed: 11/16/2022] Open
Abstract
Unlike adjunct wh’s-in-situ, argument wh’s-in-situ do not seem to be subject to island constraints in Chinese and other East Asian languages. This difference in island sensitivity between argument and adjunct wh’s-in-situ is known as argument–adjunct asymmetry in the theoretical literature. Recently, this long-established asymmetry is challenged by a formal judgment study. It was claimed in the study that this asymmetry is an illusion and both argument and adjunct wh’s-in-situ are subject to island constraints. The present study demonstrates that such a claim is not convincing because it is based on problematic experimental design. We designed two experiments to test the island effects on Chinese wh’s-in-situ. The results reaffirm that the argument–adjunct asymmetry in Chinese wh’s-in-situ is indeed present, contrary to the findings of previous formal judgment study, and they also corroborate our assumption that when object wh’s-in-situ like shénme ‘what’ are located inside a relative clause, they are subject to a pragmatic constraint, suggesting that the VP (formed by a verb and its wh-object) in the relative clause tends to describe the prominent/salient feature of the relativized nominal head.
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Affiliation(s)
- Qilin Tian
- School of English Studies, Zhejiang International Studies University, Hangzhou, China
- *Correspondence: Qilin Tian,
| | - Myung-Kwan Park
- Department of English, Dongguk University, Seoul, South Korea
| | - Xiaodong Yang
- College of Foreign Languages, Zhejiang University of Technology, Hangzhou, China
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He K, Chen X, Shi Z, Shi S, Tian Q, Hu X, Song R, Bai K, Shi W, Wang J, Li H, Ding J, Geng S, Sheng X. Relationship of resting heart rate and blood pressure with all-cause and cardiovascular disease mortality. Public Health 2022; 208:80-88. [PMID: 35728416 DOI: 10.1016/j.puhe.2022.03.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/21/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES This study aimed to investigate associations of resting heart rate (RHR) and blood pressure (BP) with all-cause and cardiovascular disease (CVD) mortality. STUDY DESIGN A retrospective cohort study. METHODS A total of 67,028 Chinese participants aged ≥60 years were included in the analysis. RHR, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were evaluated according to quartiles ([41-69, 70-74, 75-79, 80-127 beats/min], [80-119, 120-129, 130-139, 140-238 mm Hg], and [40-70, 71-79, 80-84, 85-133 mm Hg]). Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of all-cause and CVD mortality with RHR, SBP, and DBP. Restricted cubic splines were used to evaluate the dose-response association. RESULTS During the 361,975 person-year follow-up, 9326 deaths were recorded, of which 5039 deaths were due to CVD. The risk of all-cause mortality was increased by 25% with the quartiles four vs quartile one of RHR (HR [95% CI]:1.25 [1.17-1.33]), and CVD mortality was increased by 32% (HR [95% CI]: 1.32 [1.22-1.44]). Similar results were observed when comparing the quartiles four vs quartile one of SBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.14 [1.07, 1.22] and 1.23 [1.12. 1.34]) and DBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.17 [1.11. 1.24] and 1.36 [1.26. 1.47]). We found linear associations of RHR, SBP, and DBP with all-cause and CVD mortality (Pnon-linearity >0.05), except for the approximately J-shaped association between DBP and all-cause mortality (Pnon-linearity = 0.008). There was a significant interaction of RHR and SBP with all-cause and CVD mortality (Pinteraction <0.05). CONCLUSIONS RHR and BP increased the risk of all-cause and CVD mortality, especially fast RHR combined with high SBP.
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Affiliation(s)
- K He
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Chen
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Z Shi
- Department of Pharmacy, Zhengzhou People's Hospital, Zhengzhou, Henan, People's Republic of China
| | - S Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Q Tian
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Song
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - K Bai
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - W Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - H Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Ding
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - S Geng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Sheng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
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Zhai L, Jiang W, Zang Y, Gao Y, Jiang D, Tian Q, Zhao C. Impact of Thyroid Tissue Status on the Cut-Off Value of Lymph Node Fine-Needle Aspiration Thyroglobulin Measurements in Papillary Thyroid Cancer. Br J Biomed Sci 2022; 79:10210. [PMID: 35996517 PMCID: PMC8915611 DOI: 10.3389/bjbs.2021.10210] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/02/2021] [Indexed: 11/13/2022]
Abstract
Objective: To study the optimal cut-off value of thyroglobulin measurement in a fine-needle aspiration (FNA-Tg) in diagnosing malignant lymph nodes and benign lymph nodes (LNs) according to the thyroid tissue status. Methods: A total of 517 LNs were aspirated: 401 preoperative LNs, 42 LNs after subtotal thyroidectomy and 74 suspected LNs after total thyroidectomy. The cut-off value of FNA-Tg was obtained from receiver operating characteristic (ROC) analysis. The cut-off value with the best diagnostic performance was then obtained by comparing different cut-off values from other studies. Results: LN FNA-Tg levels differed between preoperative and total thyroid disease (p < 0.001) and subtotal thyroidectomy and total thyroidectomy (p = 0.03), but not between preoperative and subtotal thyroidectomy (p = 1.00). Accordingly, those 443 LNs with preoperative and subtotal thyroidectomy were compared to those 74 without thyroid tissue. The optimal cut-off value in thyroid tissue group was 19.4 ng/ml and the area under the ROC curve (AUC) was 0.95 (95% CI 0.92–0.97). The optimal cut-off value in thyroid tissue absence group was 1.2 ng/ml and the AUC was 0.93 (0.85–0.98). After the analysis and comparison of multiple cut-off values, the optimal diagnostic performance was still found to be 19.4 ng/ml and 1.2 ng/ml. Conclusion: The influential factors of FNA-Tg are still controversial, and the optimal cut-off value of FNA-Tg can be determined based on the presence or absence of thyroid tissue. FNA-Tg can be used as an important auxiliary method for diagnosing cervical metastatic LNs of thyroid cancer.
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Affiliation(s)
- L. Zhai
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Ultrasound, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, China
| | - W. Jiang
- Health Management Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Y. Zang
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Y. Gao
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - D. Jiang
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Q. Tian
- Department of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - C. Zhao
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
- *Correspondence: C. Zhao,
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Bao Y, Cui H, Tian J, Ding Y, Tian Q, Zhang W, Wang M, Zang Z, Sun X, Li D, Si X, Li B. Novel pH sensitivity and colorimetry-enhanced anthocyanin indicator films by chondroitin sulfate co-pigmentation for shrimp freshness monitoring. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108441] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Tian Q, Gao H, Zhou Y, Yang J. Overall survival and progression-free survival with cyclin-dependent kinase 4/6 inhibitors plus endocrine therapy in breast cancer: an updated meta-analysis of randomized controlled trials. Eur Rev Med Pharmacol Sci 2021; 25:7252-7267. [PMID: 34919224 DOI: 10.26355/eurrev_202112_27418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) in combination with endocrine therapy (ET) have been recommended as standard therapeutic strategies for hormone receptor-positive (HR+), human epidermal growth factor receptor type 2-negative (Her2-) advanced breast cancer (ABC). While the benefits to progression-free survival (PFS) rates have been confirmed, whether the combination of CDK4/6i and ET leads to overall survival (OS) rate improvements remains controversial. This study aimed to assess the long-term efficacy and safety of CDK4/6i in HR+, Her2- ABC patients and identify a population suitable for treatment with CDK4/6i by subgroup analysis. MATERIALS AND METHODS Electronic literature databases (MEDLINE, EMBASE and the Cochrane Library) were searched for relevant randomized controlled trials (rcts) published from Jan 2014 to Jan 2020. In addition, abstracts and presentations from all major conference proceedings were reviewed. All rcts that compared the efficacy and safety of CDK4/6i plus ET with ET alone in HR+, Her2- ABC patients were selected. The pooled analyses of hazard ratios (hrs) for PFS and OS, and risk ratios (rrs) for the objective response rate (ORR) and adverse events (aes) were obtained with the random-effects model. RESULTS A total of 6 rcts and 3421 HR+, Her2- ABC patients were enrolled for OS outcome analysis, while all 8 trials and 4580 patients were included for PFS outcome analysis. The pooled hrs for the OS and PFS were 0.76 (95% CI: 0.67-0.84) and 0.55 (95% CI: 0.50-0.59), respectively, and were consistent in the subgroup analysis. Moreover, CDK4/6i meaningfully improved the ORR in both the intention-to-treat population (RR=1.47; 95% CI: 1.29-1.67) and patients with measurable disease (RR=1.47; 95% CI: 1.30-1.67); however, CDK4/6i increased the incidence of grade 3/4 aes (RR=2.69; 95% CI: 2.43-2.97). CONCLUSIONS The combination of CDK4/6i and ET was superior to ET alone in terms of OS and PFS regardless of the drugs administered, the treatment line, age distribution, race, PR status, menopausal status, metastasis site and endocrine resistance status.
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Affiliation(s)
- Q Tian
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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Xu R, Tian Q, Wan H, Wen JW, Zhang Q, Zhang Y. Spatial and Temporal Characteristics of PM2.5 Sources and Pollution Events in a Low Industrialized City. NEPT 2021. [DOI: 10.46488/nept.2021.v20i03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In recent years, cities in southern China have experienced severe air pollution, despite having few sources of pollutants. To study the pollution characteristics of PM2.5 in these “low industrialized” cities, a numerical method based on the HYSPLIT4 Model and Kriging Spatial Interpolation Technology was established. Simulation results showed that the PM2.5 pollution in Guilin was affected by both internal and external sources. The backward air mass trajectory from July 2017 to June 2018 was simulated using the HYSPLIT model. The cluster analysis results indicated that the direction of trajectory ? accounted for 63.09% of the air pollution in the city. The average concentration of PM2.5 pollution was 45.94 ?g.m-3. The pollutant originated from the “Xiang-Gui Corridor.” The location of the sources was collocated with high industry regions. The spatial characteristics of the four pollution processes in the winter of 2017 were analyzed using a spatial interpolation method. The results showed that the transport of air masses in the direction of trajectory ? was obstructed by a mountain system in the northeast. Therefore, two air pollution accumulation centers and a topographic weakening zone dominated by internal and external sources were formed. It can be inferred that the air pollution in Guilin is affected by both internal and external factors. These results provide important theoretical and technical support for regional air pollution control and environmental protection.
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Zeng P, Tang X, Wu T, Tian Q, Li M, Ding J. [Identification of potential regulatory genes for embryonic stem cell self-renewal and pluripotency by random forest]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1234-1238. [PMID: 34549716 DOI: 10.12122/j.issn.1673-4254.2021.08.16] [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 identify novel genes associated with self-renewal and pluripotency of mouse embryonic stem cells(mESCs)by integrating multiomics data based on machine learning methods. METHODS We integrated multiomics information of mESCs involving transcriptome, histone modifications, chromatin accessibility, transcription factor binding and architectural protein binding, and compared the signal differences between known stem cell self-renewal and pluripotency genes and other genes.By integrating these multiomics data, we established prediction models based on several machine learning classifiers including random forests and performed 5-fold cross validations.The model was trained using the training dataset containing two thirds of the input samples, and the remaining one third of the input samples were used as the test dataset to assess the performance of the model in independent tests.Finally, the results predicted by the model were validated through gene function annotation and cell function experiments including cell viability assay, colony formation assay and cell cycle analysis. RESULTS Compared with the random genes, the genes known to be associated with self-renewal and pluripotency of mESCs in the multiomics data showed significantly different features.Random forest outperformed the other machine learning algorithms tested on these multiomics data, with an area under the curve (AUC) of 0.883±0.018 for cross validation and an AUC of 0.880±0.028 for independent test.Based on this model, we identified 893 potential regulatory genes associated wwith self-renewal and pluripotency of mESCs, which were similar to the known genes in functional annotation.Known-down of the predicted novel regulator gene Cct6a resulted in significant decreases in the cell viability of mESCs (P < 0.0001) and the number of cell clones (P < 0.01), significantly increased the number of cells in G1 phase (P < 0.01) and decreasedthe number of S phase cells (P < 0.05).Knockdown of Cct6a also led to failure of positive alkaline phosphatase staining of the mESCs. CONCLUSION Machine learning model based on multiomics data can be used to predict potential self-renewal and pluripotency regulators with high performance.By using this model, we predicted potential self-renewal and pluripotency regulatory genes including Cct6a and applied experimental validation.This model provides new insights into the regulatory mechanism of mESCs and contribute to stem cell research.
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Affiliation(s)
- P Zeng
- School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - X Tang
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China
| | - T Wu
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China
| | - Q Tian
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China
| | - M Li
- School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - J Ding
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China
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20
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Ngamsombat C, Gonçalves Filho ALM, Longo MGF, Cauley SF, Setsompop K, Kirsch JE, Tian Q, Fan Q, Polak D, Liu W, Lo WC, Gilberto González R, Schaefer PW, Rapalino O, Conklin J, Huang SY. Evaluation of Ultrafast Wave-Controlled Aliasing in Parallel Imaging 3D-FLAIR in the Visualization and Volumetric Estimation of Cerebral White Matter Lesions. AJNR Am J Neuroradiol 2021; 42:1584-1590. [PMID: 34244127 DOI: 10.3174/ajnr.a7191] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 03/29/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND PURPOSE Our aim was to evaluate an ultrafast 3D-FLAIR sequence using Wave-controlled aliasing in parallel imaging encoding (Wave-FLAIR) compared with standard 3D-FLAIR in the visualization and volumetric estimation of cerebral white matter lesions in a clinical setting. MATERIALS AND METHODS Forty-two consecutive patients underwent 3T brain MR imaging, including standard 3D-FLAIR (acceleration factor = 2, scan time = 7 minutes 50 seconds) and resolution-matched ultrafast Wave-FLAIR sequences (acceleration factor = 6, scan time = 2 minutes 45 seconds for the 20-channel coil; acceleration factor = 9, scan time = 1 minute 50 seconds for the 32-channel coil) as part of clinical evaluation for demyelinating disease. Automated segmentation of cerebral white matter lesions was performed using the Lesion Segmentation Tool in SPM. Student t tests, intraclass correlation coefficients, relative lesion volume difference, and Dice similarity coefficients were used to compare volumetric measurements among sequences. Two blinded neuroradiologists evaluated the visualization of white matter lesions, artifacts, and overall diagnostic quality using a predefined 5-point scale. RESULTS Standard and Wave-FLAIR sequences showed excellent agreement of lesion volumes with an intraclass correlation coefficient of 0.99 and mean Dice similarity coefficient of 0.97 (SD, 0.05) (range, 0.84-0.99). Wave-FLAIR was noninferior to standard FLAIR for visualization of lesions and motion. The diagnostic quality for Wave-FLAIR was slightly greater than for standard FLAIR for infratentorial lesions (P < .001), and there were fewer pulsation artifacts on Wave-FLAIR compared with standard FLAIR (P < .001). CONCLUSIONS Ultrafast Wave-FLAIR provides superior visualization of infratentorial lesions while preserving overall diagnostic quality and yields white matter lesion volumes comparable with those estimated using standard FLAIR. The availability of ultrafast Wave-FLAIR may facilitate the greater use of 3D-FLAIR sequences in the evaluation of patients with suspected demyelinating disease.
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Affiliation(s)
- C Ngamsombat
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Department of Radiology (C.N.), Faculty of Medicine, Siriraj Hospital, Mahidol University, Thailand
| | - A L M Gonçalves Filho
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - M G F Longo
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - S F Cauley
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - K Setsompop
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts.,Harvard-MIT Division of Health Sciences and Technology (K.S., S.Y.H.), Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - J E Kirsch
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - Q Tian
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - Q Fan
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - D Polak
- Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Department of Physics and Astronomy (D.P.), Heidelberg University, Heidelberg, Germany.,Siemens Healthcare GmbH, (D.P., W.-C.L.), Erlangen, Germany
| | - W Liu
- Siemens Shenzhen Magnetic Resonance Ltd (W.L.), Shenzhen, China
| | - W-C Lo
- Siemens Healthcare GmbH, (D.P., W.-C.L.), Erlangen, Germany
| | - R Gilberto González
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - P W Schaefer
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - O Rapalino
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - J Conklin
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.).,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts
| | - S Y Huang
- From the Department of (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.) .,Athinoula A. Martinos Center for Biomedical Imaging (C.N., A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F, D.P., J.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (A.L.M.G.F., M.G.F.L., S.F.C., K.S., J.E.K., Q.T., Q.F., R.G.G., P.W.S., O.R., J.C., S.Y.H.), Boston, Massachusetts.,Harvard-MIT Division of Health Sciences and Technology (K.S., S.Y.H.), Massachusetts Institute of Technology, Cambridge, Massachusetts
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Li Y, Leveau A, Zhao Q, Feng Q, Lu H, Miao J, Xue Z, Martin AC, Wegel E, Wang J, Orme A, Rey MD, Karafiátová M, Vrána J, Steuernagel B, Joynson R, Owen C, Reed J, Louveau T, Stephenson MJ, Zhang L, Huang X, Huang T, Fan D, Zhou C, Tian Q, Li W, Lu Y, Chen J, Zhao Y, Lu Y, Zhu C, Liu Z, Polturak G, Casson R, Hill L, Moore G, Melton R, Hall N, Wulff BBH, Doležel J, Langdon T, Han B, Osbourn A. Subtelomeric assembly of a multi-gene pathway for antimicrobial defense compounds in cereals. Nat Commun 2021; 12:2563. [PMID: 33963185 PMCID: PMC8105312 DOI: 10.1038/s41467-021-22920-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [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: 01/04/2021] [Accepted: 04/07/2021] [Indexed: 02/06/2023] Open
Abstract
Non-random gene organization in eukaryotes plays a significant role in genome evolution. Here, we investigate the origin of a biosynthetic gene cluster for production of defence compounds in oat-the avenacin cluster. We elucidate the structure and organisation of this 12-gene cluster, characterise the last two missing pathway steps, and reconstitute the entire pathway in tobacco by transient expression. We show that the cluster has formed de novo since the divergence of oats in a subtelomeric region of the genome that lacks homology with other grasses, and that gene order is approximately colinear with the biosynthetic pathway. We speculate that the positioning of the late pathway genes furthest away from the telomere may mitigate against a 'self-poisoning' scenario in which toxic intermediates accumulate as a result of telomeric gene deletions. Our investigations reveal a striking example of adaptive evolution underpinned by remarkable genome plasticity.
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Affiliation(s)
- Yan Li
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | | | - Qiang Zhao
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Qi Feng
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Hengyun Lu
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Jiashun Miao
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Zheyong Xue
- John Innes Centre, Norwich Research Park, Norwich, UK
| | | | - Eva Wegel
- John Innes Centre, Norwich Research Park, Norwich, UK
| | - Jing Wang
- John Innes Centre, Norwich Research Park, Norwich, UK
| | | | | | - Miroslava Karafiátová
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jan Vrána
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | | | - Ryan Joynson
- Earlham Institute, Norwich Research Park, Norwich, UK
| | | | - James Reed
- John Innes Centre, Norwich Research Park, Norwich, UK
| | | | | | - Lei Zhang
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Xuehui Huang
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Tao Huang
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Danling Fan
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Congcong Zhou
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Qilin Tian
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Wenjun Li
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Yiqi Lu
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Jiaying Chen
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Yan Zhao
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Ying Lu
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Chuanrang Zhu
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Zhenhua Liu
- Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Guy Polturak
- John Innes Centre, Norwich Research Park, Norwich, UK
| | | | - Lionel Hill
- John Innes Centre, Norwich Research Park, Norwich, UK
| | - Graham Moore
- John Innes Centre, Norwich Research Park, Norwich, UK
| | - Rachel Melton
- John Innes Centre, Norwich Research Park, Norwich, UK
| | - Neil Hall
- Earlham Institute, Norwich Research Park, Norwich, UK
| | | | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Tim Langdon
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, UK
| | - Bin Han
- National Centre for Gene Research, CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Centre of Excellence for Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China.
| | - Anne Osbourn
- John Innes Centre, Norwich Research Park, Norwich, UK.
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22
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Ning HT, Du Y, Zhao LJ, Tian Q, Feng H, Deng HW. Racial and gender differences in the relationship between sarcopenia and bone mineral density among older adults. Osteoporos Int 2021; 32:841-851. [PMID: 33231702 PMCID: PMC8044008 DOI: 10.1007/s00198-020-05744-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [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: 08/04/2020] [Accepted: 11/13/2020] [Indexed: 12/19/2022]
Abstract
Both sarcopenia and low bone mineral density (BMD) have become public health concerns. We found that presarcopenic and/or sarcopenic individuals were more likely to have lower BMD. And this relationship has race and sex-specific discrepancy. PURPOSE The purpose of the study was to investigate the racial and gender differences in the relationship between sarcopenia and BMD among older adults. METHODS Totally, 5476 subjects (mean age = 65.7 ± 6.4) of non-Hispanic White (n = 3297), non-Hispanic Black (n = 1265), and non-Hispanic Asian (n = 914) were analyzed. Sarcopenia was defined according to the revised European consensus on definition and diagnosis of sarcopenia (EWGSOP2). General linear model and multivariable linear regression model were used to examine the relationship between sarcopenia and regional/whole body BMD stratified by race and sex. Adjustments were conducted for physiological, behavioral, and disease factors. RESULTS Comparing with normal older participants, presarcopenic and sarcopenic elderly were more likely to have lower BMD. Although the difference was not statistically significant in a few sub-groups, among the three racial groups, the strongest association between sarcopenia and BMD was found in non-Hispanic Black people, followed by non-Hispanic White people and non-Hispanic Asian people. In addition, significant differences of BMD across sarcopenia stages were found in more sub-groups in women than in men after adjusting for covariates. CONCLUSIONS In this older cohort, sarcopenia is significantly related to low regional/whole-body BMD, and these associations vary by race and sex. Consideration in race and sex is warranted when developing strategies to maintain or minimize BMD loss.
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Affiliation(s)
- H-T Ning
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Y Du
- School of Nursing, University of Texas Health Science Center at San Antonio, TX, San Antonio, USA
| | - L-J Zhao
- Center for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, LA, New Orleans, USA
| | - Q Tian
- Center for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, LA, New Orleans, USA
| | - H Feng
- Xiangya School of Nursing, Xiangya-Oceanwide Health Management Research Institute, Central South University, Changsha, Hunan, China
| | - H-W Deng
- School of Medicine, Tulane University, New Orleans, LA, USA.
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23
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Miao J, Feng Q, Li Y, Zhao Q, Zhou C, Lu H, Fan D, Yan J, Lu Y, Tian Q, Li W, Weng Q, Zhang L, Zhao Y, Huang T, Li L, Huang X, Sang T, Han B. Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome. Nat Commun 2021; 12:2458. [PMID: 33911077 PMCID: PMC8080599 DOI: 10.1038/s41467-021-22738-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 09/22/2020] [Accepted: 03/12/2021] [Indexed: 11/09/2022] Open
Abstract
Miscanthus, a rhizomatous perennial plant, has great potential for bioenergy production for its high biomass and stress tolerance. We report a chromosome-scale assembly of Miscanthus lutarioriparius genome by combining Oxford Nanopore sequencing and Hi-C technologies. The 2.07-Gb assembly covers 96.64% of the genome, with contig N50 of 1.71 Mb. The centromere and telomere sequences are assembled for all 19 chromosomes and chromosome 10, respectively. Allotetraploid origin of the M. lutarioriparius is confirmed using centromeric satellite repeats. The tetraploid genome structure and several chromosomal rearrangements relative to sorghum are clearly demonstrated. Tandem duplicate genes of M. lutarioriparius are functional enriched not only in terms related to stress response, but cell wall biosynthesis. Gene families related to disease resistance, cell wall biosynthesis and metal ion transport are greatly expanded and evolved. The expansion of these families may be an important genomic basis for the enhancement of remarkable traits of M. lutarioriparius.
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Affiliation(s)
- Jiashun Miao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Yan Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Qiang Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Congcong Zhou
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Hengyun Lu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Danlin Fan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Juan Yan
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
| | - Yiqi Lu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Qilin Tian
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Wenjun Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Qijun Weng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Lei Zhang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Yan Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Tao Huang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Laigeng Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Xuehui Huang
- College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Tao Sang
- Key Laboratory of Plant Resources and Beijing Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China.
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24
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Xu Y, Wu T, Wang P, Liang ZX, Shi SS, Xu SF, Liu XJ, Tian Q. Perfluorocarbon Protects against Lipopolysaccharide-Induced Apoptosis of Endothelial Cells in Pulmonary Microvessels. Bull Exp Biol Med 2021; 170:410-414. [PMID: 33725245 DOI: 10.1007/s10517-021-05077-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Indexed: 10/21/2022]
Abstract
This study was aimed to explore the effect and mechanisms of action of perfluorocarbon on LPS-induced apoptosis of pulmonary microvascular endothelial cells (PMVEC) isolated from Sprague-Dawley rats. Apoptosis rates were assessed by flow cytometry. Ultrastructural characteristics of PMVEC were evaluated by transmission electron microscopy. The protein expression of cleaved caspase-3 was measured using Western blotting. LPS significantly increased the level of apoptosis, induced the appearance of ultrastructural changes typical of apoptosis, up-regulated the expression of active caspase-3 protein. These effects of LPS were attenuated by co-administration of perfluorocarbon. These results suggest that perfluorocarbon can attenuate LPS-induced apoptosis of PMVEC by inhibiting TLR-4 signaling and caspase-3 activation.
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Affiliation(s)
- Y Xu
- Department of Respiratory Diseases, the First Medical Center, Chinese PLA General Hospital, Beijing, P.R. China
| | - T Wu
- Department of Respiratory Diseases, the First Hospital of Qinhuangdao, Qinhuangdao, P.R. China
| | - P Wang
- Department of Respiratory Diseases, the First Medical Center, Chinese PLA General Hospital, Beijing, P.R. China
| | - Z X Liang
- Department of Respiratory Diseases, the First Medical Center, Chinese PLA General Hospital, Beijing, P.R. China
| | - S S Shi
- Department of Respiratory Diseases, the First Hospital of Qinhuangdao, Qinhuangdao, P.R. China
| | - S F Xu
- Department of Respiratory Diseases, the First Hospital of Qinhuangdao, Qinhuangdao, P.R. China.
| | - X J Liu
- Department of Respiratory Diseases, the First Hospital of Qinhuangdao, Qinhuangdao, P.R. China
| | - Q Tian
- Department of Respiratory Diseases, the First Hospital of Qinhuangdao, Qinhuangdao, P.R. China
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25
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Leuze C, Goubran M, Barakovic M, Aswendt M, Tian Q, Hsueh B, Crow A, Weber EMM, Steinberg GK, Zeineh M, Plowey ED, Daducci A, Innocenti G, Thiran JP, Deisseroth K, McNab JA. Comparison of diffusion MRI and CLARITY fiber orientation estimates in both gray and white matter regions of human and primate brain. Neuroimage 2021; 228:117692. [PMID: 33385546 PMCID: PMC7953593 DOI: 10.1016/j.neuroimage.2020.117692] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 12/16/2020] [Accepted: 12/18/2020] [Indexed: 11/30/2022] Open
Abstract
Diffusion MRI (dMRI) represents one of the few methods for mapping brain fiber orientations non-invasively. Unfortunately, dMRI fiber mapping is an indirect method that relies on inference from measured diffusion patterns. Comparing dMRI results with other modalities is a way to improve the interpretation of dMRI data and help advance dMRI technologies. Here, we present methods for comparing dMRI fiber orientation estimates with optical imaging of fluorescently labeled neurofilaments and vasculature in 3D human and primate brain tissue cuboids cleared using CLARITY. The recent advancements in tissue clearing provide a new opportunity to histologically map fibers projecting in 3D, which represents a captivating complement to dMRI measurements. In this work, we demonstrate the capability to directly compare dMRI and CLARITY in the same human brain tissue and assess multiple approaches for extracting fiber orientation estimates from CLARITY data. We estimate the three-dimensional neuronal fiber and vasculature orientations from neurofilament and vasculature stained CLARITY images by calculating the tertiary eigenvector of structure tensors. We then extend CLARITY orientation estimates to an orientation distribution function (ODF) formalism by summing multiple sub-voxel structure tensor orientation estimates. In a sample containing part of the human thalamus, there is a mean angular difference of 19o±15o between the primary eigenvectors of the dMRI tensors and the tertiary eigenvectors from the CLARITY neurofilament stain. We also demonstrate evidence that vascular compartments do not affect the dMRI orientation estimates by showing an apparent lack of correspondence (mean angular difference = 49o±23o) between the orientation of the dMRI tensors and the structure tensors in the vasculature stained CLARITY images. In a macaque brain dataset, we examine how the CLARITY feature extraction depends on the chosen feature extraction parameters. By varying the volume of tissue over which the structure tensor estimates are derived, we show that orientation estimates are noisier with more spurious ODF peaks for sub-voxels below 30 µm3 and that, for our data, the optimal gray matter sub-voxel size is between 62.5 µm3 and 125 µm3. The example experiments presented here represent an important advancement towards robust multi-modal MRI-CLARITY comparisons.
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Affiliation(s)
- C Leuze
- Department of Radiology, Stanford University, Stanford, CA, USA.
| | - M Goubran
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - M Barakovic
- Department of Radiology, Stanford University, Stanford, CA, USA; Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - M Aswendt
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - Q Tian
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - B Hsueh
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - A Crow
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - E M M Weber
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - G K Steinberg
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - M Zeineh
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - E D Plowey
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - A Daducci
- Department of Computer Science, University of Verona, Verona, Italy
| | - G Innocenti
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden; Brain and Mind Institute, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - J-P Thiran
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - K Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - J A McNab
- Department of Radiology, Stanford University, Stanford, CA, USA
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26
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Tian Q. Phylogenetic relationships and morphological reappraisal of Chaetothyriales. MYCOSPHERE 2021. [DOI: 10.5943/mycosphere/12/1/15] [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: 11/06/2022] Open
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27
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Tian Q, Si J, Jiang F, Xu R, Wei B, Huang B, Li Q, Jiang Z, Zhao T. Caspofungin combined with TMP/SMZ as a first-line therapy for moderate-to-severe PCP in patients with human immunodeficiency virus infection. HIV Med 2020; 22:307-313. [PMID: 33277811 PMCID: PMC7984216 DOI: 10.1111/hiv.13013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2020] [Indexed: 01/05/2023]
Abstract
OBJECTIVES The effectiveness of trimethoprim/sulfamethoxazole (TMP/SMZ) for pneumocystis pneumonia (PCP) is limited with adverse events. Caspofungin, by inhibiting the cyst form of Pneumocystis jirovecii, may be an alternative therapy for PCP. However, the availability of clinical data about caspofungin combined with TMP/SMZ in the treatment of PCP in HIV-infected patients is limited. Thus, we aimed to examine the clinical effectiveness and safety of caspofungin combined with TMP/SMZ as a first-line therapy for moderate-to-severe PCP in HIV-infected patients. METHODS From January 2017 to December 2019, data of HIV-infected patients with moderate-to-severe PCP who received either TMP/SMZ alone or caspofungin combined with TMP/SMZ as first-line therapy were retrospectively reviewed to assess the effectiveness and safety of each regimen. The Kaplan-Meier curve and log-rank test were used for survival analysis. RESULTS A total of 278 patients met the criteria. The overall positive response rate of PCP treatment was 48.92%, and the overall all-cause in-hospital mortality rate was 33.09%. Patients who received combination therapy consisting of caspofungin and TMP/SMZ had a better positive response rate (59.44% vs. 37.78%, P < 0.001) and lower all-cause in-hospital mortality rate (24.48% vs. 42.22%, P = 0.003). Also, patients who received combination therapy had higher survival rate during a hospital stay (75.52% vs. 57.78%, P = 0.004), and those who received longer combination therapy were more likely to have higher survival rate (P = 0.042). We found that age (P = 0.019), CD4 cell count (P = 0.001) and therapeutic regimen (P = 0.002) were significant risk factors for all-cause in-hospital mortality rate in univariate analysis. In multivariate analysis, only CD4 cell count and therapeutic regimen were statistically significant factors associated with all-cause in-hospital mortality rate. Patients with a CD4 count of > 30 cells/µL and patients who received combination therapy consisting of caspofungin and TMP/SMZ were more likely to survive from PCP (P = 0.011 and P = 0.002, respectively). There were no additional severe adverse events caused by adding caspofungin. CONCLUSIONS For HIV-infected patients with moderate-to-severe PCP, combination therapy with caspofungin and TMP/SMZ is an effective and promising first-line therapy with no greater number of adverse events compared with TMP/SMZ monotherapy. Patients who received caspofungin had better positive response rates and lower all-cause in-hospital mortality rates. Also, we recommend early initiation of caspofungin.
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Affiliation(s)
- Q Tian
- The Third People's Hospital of Guilin, Guangxi, China
| | - J Si
- The First Hospital of Jiaxing, Zhejiang, China
| | - F Jiang
- The Third People's Hospital of Guilin, Guangxi, China
| | - R Xu
- The Third People's Hospital of Guilin, Guangxi, China
| | - B Wei
- The Third People's Hospital of Guilin, Guangxi, China
| | - B Huang
- The Third People's Hospital of Guilin, Guangxi, China
| | - Q Li
- The Third People's Hospital of Guilin, Guangxi, China
| | - Z Jiang
- People's Hospital of Liuzhou, Guangxi, China
| | - T Zhao
- The Third People's Hospital of Guilin, Guangxi, China
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28
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Zhang H, Liu L, Ni JJ, Wei XT, Feng GJ, Yang XL, Xu Q, Zhang ZJ, Hai R, Tian Q, Shen H, Deng HW, Pei YF, Zhang L. Pleiotropic loci underlying bone mineral density and bone size identified by a bivariate genome-wide association analysis. Osteoporos Int 2020; 31:1691-1701. [PMID: 32314116 PMCID: PMC7883523 DOI: 10.1007/s00198-020-05389-x] [Citation(s) in RCA: 2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 03/11/2020] [Indexed: 01/30/2023]
Abstract
UNLABELLED Aiming to identify pleiotropic genomic loci for bone mineral density and bone size, we performed a bivariate GWAS in five discovery samples and replicated in two large-scale samples. We identified 2 novel loci at 2q37.1 and 6q26. Our findings provide insight into common genetic architecture underlying both traits. INTRODUCTION Bone mineral density (BMD) and bone size (BS) are two important factors that contribute to the development of osteoporosis and osteoporotic fracture. Both BMD and BS are highly heritable and they are genetically correlated. In this study, we aim to identify pleiotropic loci associated with BMD and BS. METHODS We conducted a bivariate genome-wide association (GWA) analysis of hip BMD and hip BS in 6180 participants from 5 samples, followed by in silico replication in the UK Biobank study of BMD (N = 426,824) and the deCODE study of BS (N = 28,954), respectively. RESULTS SNPs from 2 genomic loci were significant at the genome-wide significance (GWS) level (p lt; 5 × 10-8) in the discovery samples and were successfully replicated in the replication samples (2q37.1, lead SNP rs7575512, discovery p = 1.49 × 10-10, replication p = 0.05; 6q26, lead SNP rs1040724, discovery p = 1.95 × 10-8, replication p = 0.03). Functional annotations suggested functional relevance of the identified variants to bone development. CONCLUSION Our findings provide insight into the common genetic architecture underlying BMD and BS, and enhance our understanding of the potential mechanism of osteoporosis fracture.
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Affiliation(s)
- H Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
| | - L Liu
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Kunshan Hospital of Traditional Chinese Medicine, SuZhou, Jiangsu, People's Republic of China
| | - J-J Ni
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
| | - X-T Wei
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, SuZhou, Jiangsu, People's Republic of China
| | - G-J Feng
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, SuZhou, Jiangsu, People's Republic of China
| | - X-L Yang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
| | - Q Xu
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, SuZhou, Jiangsu, People's Republic of China
| | - Z-J Zhang
- People's Hospital of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia, People's Republic of China
| | - R Hai
- People's Hospital of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia, People's Republic of China
| | - Q Tian
- Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - H Shen
- Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - H-W Deng
- Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
- Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St., Suite 2001, New Orleans, LA, 70112, USA.
| | - Y-F Pei
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China.
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, SuZhou, Jiangsu, People's Republic of China.
| | - L Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China.
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Ren-ai Rd., SuZhou City, 215123, Jiangsu Province, People's Republic of China.
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29
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Ning N, Wang S, Wang R, Tian Q, Xue X, Ye X, Xuan J. PCV20 A Real-World Study of Patient Characteristics and Treatment Patterns for Atrial Fibrillation in China. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.038] [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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30
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Longo MGF, Conklin J, Cauley SF, Setsompop K, Tian Q, Polak D, Polackal M, Splitthoff D, Liu W, González RG, Schaefer PW, Kirsch JE, Rapalino O, Huang SY. Evaluation of Ultrafast Wave-CAIPI MPRAGE for Visual Grading and Automated Measurement of Brain Tissue Volume. AJNR Am J Neuroradiol 2020; 41:1388-1396. [PMID: 32732274 DOI: 10.3174/ajnr.a6703] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Accepted: 05/18/2020] [Indexed: 01/23/2023]
Abstract
BACKGROUND AND PURPOSE Volumetric brain MR imaging typically has long acquisition times. We sought to evaluate an ultrafast MPRAGE sequence based on Wave-CAIPI (Wave-MPRAGE) compared with standard MPRAGE for evaluation of regional brain tissue volumes. MATERIALS AND METHODS We performed scan-rescan experiments in 10 healthy volunteers to evaluate the intraindividual variability of the brain volumes measured using the standard and Wave-MPRAGE sequences. We then evaluated 43 consecutive patients undergoing brain MR imaging. Patients underwent 3T brain MR imaging, including a standard MPRAGE sequence (acceleration factor [R] = 2, acquisition time [TA] = 5.2 minutes) and an ultrafast Wave-MPRAGE sequence (R = 9, TA = 1.15 minutes for the 32-channel coil; R = 6, TA = 1.75 minutes for the 20-channel coil). Automated segmentation of regional brain volume was performed. Two radiologists evaluated regional brain atrophy using semiquantitative visual rating scales. RESULTS The mean absolute symmetrized percent change in the healthy volunteers participating in the scan-rescan experiments was not statistically different in any brain region for both the standard and Wave-MPRAGE sequences. In the patients undergoing evaluation for neurodegenerative disease, the Dice coefficient of similarity between volumetric measurements obtained from standard and Wave-MPRAGE ranged from 0.86 to 0.95. Similarly, for all regions, the absolute symmetrized percent change for brain volume and cortical thickness showed <6% difference between the 2 sequences. In the semiquantitative visual comparison, the differences between the 2 radiologists' scores were not clinically or statistically significant. CONCLUSIONS Brain volumes estimated using ultrafast Wave-MPRAGE show low intraindividual variability and are comparable with those estimated using standard MPRAGE in patients undergoing clinical evaluation for suspected neurodegenerative disease.
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Affiliation(s)
- M G F Longo
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.)
| | - J Conklin
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.).,Radiology, Athinoula A. Martinos Center for Biomedical Imaging, (J.C., S.F.C., K.S., Q.T., D.P., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (J.C., S.F.C., K.S., R.G.G., P.W.S., S.Y.H.), Boston, Massachusetts
| | - S F Cauley
- Radiology, Athinoula A. Martinos Center for Biomedical Imaging, (J.C., S.F.C., K.S., Q.T., D.P., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (J.C., S.F.C., K.S., R.G.G., P.W.S., S.Y.H.), Boston, Massachusetts
| | - K Setsompop
- Radiology, Athinoula A. Martinos Center for Biomedical Imaging, (J.C., S.F.C., K.S., Q.T., D.P., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (J.C., S.F.C., K.S., R.G.G., P.W.S., S.Y.H.), Boston, Massachusetts.,Harvard-MIT Division of Health Sciences and Technology (K.S., S.Y.H.), Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Q Tian
- Radiology, Athinoula A. Martinos Center for Biomedical Imaging, (J.C., S.F.C., K.S., Q.T., D.P., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts
| | - D Polak
- Radiology, Athinoula A. Martinos Center for Biomedical Imaging, (J.C., S.F.C., K.S., Q.T., D.P., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Department of Physics and Astronomy (D.P.), Heidelberg University, Heidelberg, Germany.,Siemens (D.P., D.S., W.L.), Erlangen, Germany
| | - M Polackal
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.)
| | | | - W Liu
- Siemens (D.P., D.S., W.L.), Erlangen, Germany
| | - R G González
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.).,Harvard Medical School (J.C., S.F.C., K.S., R.G.G., P.W.S., S.Y.H.), Boston, Massachusetts
| | - P W Schaefer
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.).,Harvard Medical School (J.C., S.F.C., K.S., R.G.G., P.W.S., S.Y.H.), Boston, Massachusetts
| | - J E Kirsch
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.)
| | - O Rapalino
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.)
| | - S Y Huang
- From the Departments of Radiology (M.G.F.L., J.C., M.P., R.G.G., P.W.S., J.E.K., O.R., S.Y.H.).,Radiology, Athinoula A. Martinos Center for Biomedical Imaging, (J.C., S.F.C., K.S., Q.T., D.P., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School (J.C., S.F.C., K.S., R.G.G., P.W.S., S.Y.H.), Boston, Massachusetts.,Harvard-MIT Division of Health Sciences and Technology (K.S., S.Y.H.), Massachusetts Institute of Technology, Cambridge, Massachusetts
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31
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Wei H, Yin X, Tang H, Gao Y, Liu B, Wu Q, Tian Q, Hao Y, Bi H, Guo D. Hypomethylation of Notch1 DNA is associated with the occurrence of uveitis. Clin Exp Immunol 2020; 201:317-327. [PMID: 32479651 DOI: 10.1111/cei.13471] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 04/24/2020] [Accepted: 05/20/2020] [Indexed: 11/28/2022] Open
Abstract
Uveitis is a serious intra-ocular inflammatory disease that can lead to visual impairment even blindness worldwide. Notch signaling can regulate the differentiation of naive CD4+ T cells, influencing the development of uveitis. DNA methylation is closely related to the autoimmune diseases. In this study, we measured the Notch1 DNA methylation level, determined the Notch1 and related DNA methylases mRNA expression and evaluated the ratio of T helper type 17 regulatory T cell (Th17/Treg ) in peripheral blood mononuclear cells (PBMCs) from uveitis patients and normal control subjects; we also tested the levels of relevant inflammatory cytokines in serum from the participants. Results indicated that compared with those in normal control individuals, the expression of ten-eleven translocation 2 (TET2) and Notch1 mRNA is elevated in uveitis patients, whereas the methylation level in Notch1 DNA promotor region [-842 ~ -646 base pairs (bp)] is down-regulated, and is unrelated to anatomical location. Moreover, the Th17/Treg ratio is up-regulated in PBMCs from uveitis patients, accompanied by the elevated levels of proinflammatory cytokines [e.g. interleukin (IL)-2, IL-6, IL-17 and interferon (IFN)-γ] in serum from uveitis patients. These findings suggest that the over-expression of TET2 DNA demethylase may lead to hypomethylation of Notch1, activate the Notch1 signaling, induce naive CD4+ T cells to differentiate theTh17 subset and thus disturb the balance of the Th17/Treg ratio in uveitis patients. Overall, hypomethylation of Notch1 DNA is closely associated with the occurrence of uveitis. Our study preliminarily reveals the underlying mechanism for the occurrence of uveitis related to the hypomethylation of Notch1 DNA, providing a novel therapeutic strategy against uveitis in clinical practice.
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Affiliation(s)
- H Wei
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - X Yin
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - H Tang
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Y Gao
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Shandong, Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases in Universities, Shandong, Eye Institute of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - B Liu
- Department of Blood Transfusion, Linyi People's Hospital, Linyi, China
| | - Q Wu
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Q Tian
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Y Hao
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - H Bi
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Shandong, Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases in Universities, Shandong, Eye Institute of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - D Guo
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Shandong, Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases in Universities, Shandong, Eye Institute of Shandong University of Traditional Chinese Medicine, Jinan, China
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32
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Xu C, Guo Z, Zhang J, Lu Q, Tian Q, Liu S, Li K, Wang K, Tao Z, Li C, Lv Z, Zhang Z, Yang X, Yang F. Non-invasive prediction of fetal growth restriction by whole-genome promoter profiling of maternal plasma DNA: a nested case-control study. BJOG 2020; 128:458-466. [PMID: 32364311 PMCID: PMC7818264 DOI: 10.1111/1471-0528.16292] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2020] [Indexed: 11/28/2022]
Abstract
Objective To predict fetal growth restriction (FGR) by whole‐genome promoter profiling of maternal plasma. Design Nested case–control study. Setting Hospital‐based. Population or Sample 810 pregnancies: 162 FGR cases and 648 controls. Methods We identified gene promoters with a nucleosome footprint that differed between FGR cases and controls based on maternal plasma cell‐free DNA (cfDNA) nucleosome profiling. Optimal classifiers were developed using support vector machine (SVM) and logistic regression (LR) models. Main outcome measures Genes with differential coverages in promoter regions through the low‐coverage whole‐genome sequencing data analysis among FGR cases and controls. Receiver operating characteristic (ROC) analysis (area under the curve [AUC], accuracy, sensitivity and specificity) was used to evaluate the performance of classifiers. Results Through the low‐coverage whole‐genome sequencing data analysis of FGR cases and controls, genes with significantly differential DNA coverage at promoter regions (−1000 to +1000 bp of transcription start sites) were identified. The non‐invasive ‘FGR classifier 1’ (CFGR1) had the highest classification performance (AUC, 0.803; 95% CI 0.767–0.839; accuracy, 83.2%) was developed based on 14 genes with differential promoter coverage using a support vector machine. Conclusions A promising FGR prediction method was successfully developed for assessing the risk of FGR at an early gestational age based on maternal plasma cfDNA nucleosome profiling. Tweetable abstract A promising FGR prediction method was successfully developed, based on maternal plasma cfDNA nucleosome profiling. A promising FGR prediction method was successfully developed, based on maternal plasma cfDNA nucleosome profiling.
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Affiliation(s)
- C Xu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Z Guo
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - J Zhang
- Department of Obstetrics and Gynaecology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Q Lu
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Q Tian
- Department of Obstetrics and Gynaecology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - S Liu
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - K Li
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - K Wang
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Z Tao
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - C Li
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Z Lv
- Department of Pathology, Cangzhou People's Hospital, Cangzhou, China.,Department of Pharmacy, Cangzhou People's Hospital, Cangzhou, China
| | - Z Zhang
- Department of Pathology, Cangzhou People's Hospital, Cangzhou, China.,Department of Pharmacy, Cangzhou People's Hospital, Cangzhou, China
| | - X Yang
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - F Yang
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Zhujiang Hospital, Southern Medical University, Guangzhou, China
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33
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Tian Q, Gu HH, Feng MY, Zhuang JH. [A review of the role of otolithic regulatory proteins in otoconial forming and maintaining]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 55:549-553. [PMID: 32842376 DOI: 10.3760/cma.j.cn115330-20190529-00363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Q Tian
- Department of Neurology, Shanghai Changzheng Hospital of Navy Medical University, Shanghai 200003, China
| | - H H Gu
- Department of Neurology, Shanghai Changzheng Hospital of Navy Medical University, Shanghai 200003, China
| | - M Y Feng
- Department of Neurology, Shanghai Changzheng Hospital of Navy Medical University, Shanghai 200003, China
| | - J H Zhuang
- Department of Neurology, Shanghai Changzheng Hospital of Navy Medical University, Shanghai 200003, China
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34
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Sun J, Yang X, Li N, Meng L, Tian Q, Qin W. P204 Brain activation during multi-noninvasive stimulation: Transcranial direct current stimulation (tDCS) plus transcutaneous auricular vagus nerve stimulation (taVNS). Clin Neurophysiol 2020. [DOI: 10.1016/j.clinph.2019.12.315] [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: 10/24/2022]
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35
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Yang X, Shen L, Li N, Meng L, Tian Q, Sun J, Qin W. P65 Difference between transcutaneous auricular and cervical vagus nerve stimulation on heart rate variability. Clin Neurophysiol 2020. [DOI: 10.1016/j.clinph.2019.12.176] [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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36
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Liu M, Li Y, Ma Y, Zhao Q, Stiller J, Feng Q, Tian Q, Liu D, Han B, Liu C. The draft genome of a wild barley genotype reveals its enrichment in genes related to biotic and abiotic stresses compared to cultivated barley. Plant Biotechnol J 2020; 18:443-456. [PMID: 31314154 PMCID: PMC6953193 DOI: 10.1111/pbi.13210] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 07/13/2019] [Indexed: 05/06/2023]
Abstract
Wild barley (Hordeum spontaneum) is the progenitor of cultivated barley (Hordeum vulgare) and provides a rich source of genetic variations for barley improvement. Currently, the genome sequences of wild barley and its differences with cultivated barley remain unclear. In this study, we report a high-quality draft assembly of wild barley accession (AWCS276; henceforth named as WB1), which consists of 4.28 Gb genome and 36 395 high-confidence protein-coding genes. BUSCO analysis revealed that the assembly included full lengths of 95.3% of the 956 single-copy plant genes, illustrating that the gene-containing regions have been well assembled. By comparing with the genome of the cultivated genotype Morex, it is inferred that the WB1 genome contains more genes involved in resistance and tolerance to biotic and abiotic stresses. The presence of the numerous WB1-specific genes indicates that, in addition to enhance allele diversity for genes already existing in the cultigen, exploiting the wild barley taxon in breeding should also allow the incorporation of novel genes. Furthermore, high levels of genetic variation in the pericentromeric regions were detected in chromosomes 3H and 5H between the wild and cultivated genotypes, which may be the results of domestication. This H. spontaneum draft genome assembly will help to accelerate wild barley research and be an invaluable resource for barley improvement and comparative genomics research.
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Affiliation(s)
- Miao Liu
- CSIRO Agriculture and FoodSt LuciaQldAustralia
- Crop Research InstituteSichuan Academy of Agricultural SciencesJinjiang District, ChengduChina
- Triticeae Research InstituteSichuan Agricultural UniversityWenjiang, ChengduChina
| | - Yan Li
- National Center for Gene ResearchChinese Academy of SciencesShanghaiChina
| | - Yanling Ma
- CSIRO Agriculture and FoodSt LuciaQldAustralia
- Institute of Crop SciencesChinese Academy of Agricultural SciencesHaidian District, BeijingChina
| | - Qiang Zhao
- National Center for Gene ResearchChinese Academy of SciencesShanghaiChina
| | | | - Qi Feng
- National Center for Gene ResearchChinese Academy of SciencesShanghaiChina
| | - Qilin Tian
- National Center for Gene ResearchChinese Academy of SciencesShanghaiChina
| | - Dengcai Liu
- Triticeae Research InstituteSichuan Agricultural UniversityWenjiang, ChengduChina
| | - Bin Han
- National Center for Gene ResearchChinese Academy of SciencesShanghaiChina
| | - Chunji Liu
- CSIRO Agriculture and FoodSt LuciaQldAustralia
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37
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Liu H, Wang Q, Chen M, Ding Y, Yang X, Liu J, Li X, Zhou C, Tian Q, Lu Y, Fan D, Shi J, Zhang L, Kang C, Sun M, Li F, Wu Y, Zhang Y, Liu B, Zhao XY, Feng Q, Yang J, Han B, Lai J, Zhang XS, Huang X. Genome-wide identification and analysis of heterotic loci in three maize hybrids. Plant Biotechnol J 2020; 18:185-194. [PMID: 31199059 PMCID: PMC6920156 DOI: 10.1111/pbi.13186] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [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: 04/03/2019] [Revised: 06/01/2019] [Accepted: 06/04/2019] [Indexed: 05/18/2023]
Abstract
Heterosis, or hybrid vigour, is a predominant phenomenon in plant genetics, serving as the basis of crop hybrid breeding, but the causative loci and genes underlying heterosis remain unclear in many crops. Here, we present a large-scale genetic analysis using 5360 offsprings from three elite maize hybrids, which identifies 628 loci underlying 19 yield-related traits with relatively high mapping resolutions. Heterotic pattern investigations of the 628 loci show that numerous loci, mostly with complete-incomplete dominance (the major one) or overdominance effects (the secondary one) for heterozygous genotypes and nearly equal proportion of advantageous alleles from both parental lines, are the major causes of strong heterosis in these hybrids. Follow-up studies for 17 heterotic loci in an independent experiment using 2225 F2 individuals suggest most heterotic effects are roughly stable between environments with a small variation. Candidate gene analysis for one major heterotic locus (ub3) in maize implies that there may exist some common genes contributing to crop heterosis. These results provide a community resource for genetics studies in maize and new implications for heterosis in plants.
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Affiliation(s)
- Hongjun Liu
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Qin Wang
- Shanghai Key Laboratory of Plant Molecular SciencesCollege of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Mengjiao Chen
- Shanghai Key Laboratory of Plant Molecular SciencesCollege of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Yahui Ding
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Xuerong Yang
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Jie Liu
- Shanghai Key Laboratory of Plant Molecular SciencesCollege of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Xiaohan Li
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Congcong Zhou
- National Center for Gene ResearchCAS Center for Excellence of Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina
| | - Qilin Tian
- National Center for Gene ResearchCAS Center for Excellence of Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina
| | - Yiqi Lu
- National Center for Gene ResearchCAS Center for Excellence of Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina
| | - Danlin Fan
- National Center for Gene ResearchCAS Center for Excellence of Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina
| | - Junpeng Shi
- State Key Laboratory of Agrobiotechnology and National Maize Improvement CenterDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Lin Zhang
- College of AgricultureNortheast Agricultural UniversityHarbinChina
| | - Congbin Kang
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Mingfei Sun
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Fangyuan Li
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Yujian Wu
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Yongzhong Zhang
- State Key Laboratory of Crop BiologyCollege of AgronomyShandong Agricultural UniversityTai'anChina
| | - Baoshen Liu
- State Key Laboratory of Crop BiologyCollege of AgronomyShandong Agricultural UniversityTai'anChina
| | - Xiang Yu Zhao
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Qi Feng
- National Center for Gene ResearchCAS Center for Excellence of Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina
| | - Jinliang Yang
- Department of Agronomy and HorticultureUniversity of Nebraska‐LincolnLincolnNEUSA
| | - Bin Han
- National Center for Gene ResearchCAS Center for Excellence of Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina
| | - Jinsheng Lai
- State Key Laboratory of Agrobiotechnology and National Maize Improvement CenterDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Xian Sheng Zhang
- State Key Laboratory of Crop BiologyCollege of Life SciencesShandong Agricultural UniversityTai'anChina
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular SciencesCollege of Life SciencesShanghai Normal UniversityShanghaiChina
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Feng MY, Zhuang JH, Gu HH, Tian Q, Zhang ZH. [Changes of serum E2 and Otolin-1 levels in postmenopausal women with BPPV]. Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2019; 33:1138-1147. [PMID: 31914260 DOI: 10.13201/j.issn.1001-1781.2019.12.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Indexed: 06/10/2023]
Abstract
Objective:To investigate the changes of serum estradiol(E2) and otolith structural protein Otolin-1 levels in postmenopausal women with benign paroxysmal positional vertigo(BPPV). Method:Forty postmenopausal women diagnosed as primary BPPV were selected as the experimental group. Meanwhile, 40 postmenopausal women without vertigo during the same time were selected as the control group. 4 ml of fasting peripheral venous blood was extracted in the morning, and E2 and Otolin-1 protein levels in serum of the two groups were detected by electrochemiluminescence(ECL) and ELISA, respectively. Result:①The serum level of E2 in the experimental group was(29.11±15.11) pg/ml, which was lower than that in the control group(37.18±12.24) pg/ml(P=0.010). ②The serum level of Otolin-1 in the experimental group was(361.55±186.14) pg/ml, which was significantly higher than that in the control group(282.61±139.98) pg/ml(P=0.035). ③Spearman correlation analysis was carried out on the serum levels of Otolin-1 and E2 in the experimental group and the control group, respectively, and no correlation was found between them(P=0.403 and 0.363, respectively). ④In the control group, age was negatively correlated with serum E2 level(P=0.044, r=-0.320), suggesting that age was only weakly correlated with E2 level. However, in the experimental group, there was no correlation between the two(P=0.148). ⑤There was no correlation between age and serum Otolin-1 level in the two groups(P=0.705 and 0.076, respectively). Conclusion:Compared with postmenopausal patients without vertigo, the level of E2 in postmenopausal BPPV patients decreased, but the level of Otolin-1 increased significantly. Therefore, the serum level of Otolin-1 may be used as a bio-marker to assist the diagnosis and efficacy evaluation of postmenopausal women with BPPV.
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Affiliation(s)
- M Y Feng
- Department of Neurology,Shanghai Changzheng Hospital of Navy Medical University,Shanghai,200003,China
| | - J H Zhuang
- Department of Neurology,Shanghai Changzheng Hospital of Navy Medical University,Shanghai,200003,China
| | - H H Gu
- Department of Neurology,Shanghai Changzheng Hospital of Navy Medical University,Shanghai,200003,China
| | - Q Tian
- Department of Neurology,Shanghai Changzheng Hospital of Navy Medical University,Shanghai,200003,China
| | - Z H Zhang
- Department of Neurology,Shanghai Changzheng Hospital of Navy Medical University,Shanghai,200003,China
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Tian Q, Zhu HH, Li H. Interstitial brachytherapy of oral squamous cell carcinoma with ultrasound-guided iodine-125 radioactive seed implantation. Eur Rev Med Pharmacol Sci 2019; 22:1680-1685. [PMID: 29630112 DOI: 10.26355/eurrev_201803_14580] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE In this study, we investigated the clinical effect of interstitial brachytherapy on oral squamous cell carcinoma (OSCC) with ultrasound or CT-guided 125I radioactive seed implantation. PATIENTS AND METHODS 116 patients with advanced oral squamous cell carcinoma, who received initial treatment or retreatment, were enrolled. Therein, 35 patients in the control group were treated with external radiation, systemic chemotherapy or conservative treatment, 41 patients in the ultrasound group were treated with ultrasound-guided125I radioactive seed interstitial implantation brachytherapy, and 40 patients in the CT group were treated with CT-guided 125I radioactive seed interstitial implantation. The median follow-up time was 15.0 months. The clinical outcomes were compared. RESULTS At the time of one month after treatment, the tumor diameters of the ultrasound group and the CT group were significantly decreased (p<0.05), which were less than the control group (p<0.05), and there was no difference in comparison between the ultrasound group and the CT group (p>0.05). At the time of one month after treatment, the effective rates were significantly higher in the ultrasound group and the CT group than the control group (p<0.001), and there was no difference in comparison between the ultrasound group and the CT group. And there was no difference in comparison of complication between these two groups (p>0.05). At the time of one month after treatment, the VAS scores of pain were significantly lower in the ultrasound group and the CT group than the control group (p<0.05). There were no differences in comparisons of T lymphocyte subset percentages before and after treatment (p>0.05), and T lymphocyte subset percentages in the control group were significantly decreased (p<0.05). The progression-free survivals, median survival times, and survival rates were significantly higher in the ultrasound group and the CT group than those in the control group (p<0.05), and there were no differences in comparisons between the ultrasound group and the CT group (p>0.05). CONCLUSIONS Both ultrasound and CT-guided iodine-125 radioactive seed interstitial implantation brachytherapy in the treatment of OSCC can achieve better short-term and long-term clinical effects.
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Affiliation(s)
- Q Tian
- Department of Ultrasonography, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
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Jiao ZY, Tian Q, Li N, Wang HB, Li KZ. Plasma long non-coding RNAs (lncRNAs) serve as potential biomarkers for predicting breast cancer. Eur Rev Med Pharmacol Sci 2019; 22:1994-1999. [PMID: 29687854 DOI: 10.26355/eurrev_201804_14727] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Recent studies have suggested that lncRNAs play important regulatory roles in occurrence and progression of many cancers including breast cancer. However, only a small number of lncRNAs have proved to be related to breast cancer. Moreover, the effect of lncRNAs on breast cancer is yet unclear. We aimed at examining whether the expression level of these lncRNAs in our breast cancer patients could be different to normal people, and whether these lncRNAs could serve as potential biomarkers for the diagnosis of breast cancer. PATIENTS AND METHODS We selected twelve lncRNAs as the research targets, which were previously found to be abnormally expressed in plasma of other cancers. The expression levels of these lncRNAs were measured by Quantitative Real-time Polymerase Chain Reaction (qRT-PCR) and compared between breast cancer patients and normal people. RESULTS The expression levels of plasma lncRNAs (H19, HOTAIR, and RP11-445H22.4) are found to increase significantly in breast cancer patients. The expression levels of other 9 lncRNAs were no significant changed compared with normal people. CONCLUSIONS lncRNAs may be related to the occurrence of breast cancer and serve as potential biomarkers for its diagnosis.
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Affiliation(s)
- Z-Y Jiao
- College of Medicine, Shandong University, Jinan, China.
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Yu F, Fan Q, Tian Q, Ngamsombat C, Machado N, Bireley JD, Russo AW, Nummenmaa A, Witzel T, Wald LL, Klawiter EC, Huang SY. Imaging G-Ratio in Multiple Sclerosis Using High-Gradient Diffusion MRI and Macromolecular Tissue Volume. AJNR Am J Neuroradiol 2019; 40:1871-1877. [PMID: 31694819 DOI: 10.3174/ajnr.a6283] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 08/12/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE Remyelination represents an area of great therapeutic interest in multiple sclerosis but currently lacks a robust imaging marker. The purpose of this study was to use high-gradient diffusion MRI and macromolecular tissue volume imaging to obtain estimates of axonal volume fraction, myelin volume fraction, and the imaging g-ratio in patients with MS and healthy controls and to explore their relationship to neurologic disability in MS. MATERIALS AND METHODS Thirty individuals with MS (23 relapsing-remitting MS, 7 progressive MS) and 19 age-matched healthy controls were scanned on a 3T MRI scanner equipped with 300 mT/m maximum gradient strength using a comprehensive multishell diffusion MRI protocol. Macromolecular tissue volume imaging was performed to quantify the myelin volume fraction. Diffusion data were fitted to a 3-compartment model of white matter using a spheric mean approach to yield estimates of axonal volume fraction. The imaging g-ratio was calculated from the ratio of myelin volume fraction and axonal volume fraction. Imaging metrics were compared between groups using 2-sided t tests with a Bonferroni correction. RESULTS The mean g-ratio was significantly elevated in lesions compared with normal-appearing WM (0.74 vs 0.67, P < .001). Axonal volume fraction (0.17 vs 0.23, P < .001) and myelin volume fraction (0.17 vs 0.25, P < .001) were significantly lower in lesions than normal-appearing WM. Myelin volume fraction was lower in normal-appearing WM compared with that in healthy controls (0.25 vs 0.27, P = .009). Disability, as measured by the Expanded Disability Status Scale, was significantly associated with myelin volume fraction (β = -40.5, P = .001) and axonal volume fraction (β = -41.0, P = .016) in normal-appearing WM. CONCLUSIONS The imaging g-ratio may serve as a biomarker for the relative degree of axonal and myelin loss in MS.
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Affiliation(s)
- F Yu
- From the Division of Neuroradiology (F.Y.), Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Q Fan
- Athinoula A. Martinos Center for Biomedical Imaging (Q.F., Q.T., C.N., A.N., T.W., L.L.W., S.Y.H.), Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Q Tian
- Athinoula A. Martinos Center for Biomedical Imaging (Q.F., Q.T., C.N., A.N., T.W., L.L.W., S.Y.H.), Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts
| | - C Ngamsombat
- Athinoula A. Martinos Center for Biomedical Imaging (Q.F., Q.T., C.N., A.N., T.W., L.L.W., S.Y.H.), Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts
| | - N Machado
- Department of Neurology (N.M., J.D.B., A.W.R., E.C.K., S.Y.H.)
| | - J D Bireley
- Department of Neurology (N.M., J.D.B., A.W.R., E.C.K., S.Y.H.)
| | - A W Russo
- Department of Neurology (N.M., J.D.B., A.W.R., E.C.K., S.Y.H.)
| | - A Nummenmaa
- Athinoula A. Martinos Center for Biomedical Imaging (Q.F., Q.T., C.N., A.N., T.W., L.L.W., S.Y.H.), Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts
| | - T Witzel
- Athinoula A. Martinos Center for Biomedical Imaging (Q.F., Q.T., C.N., A.N., T.W., L.L.W., S.Y.H.), Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts
| | - L L Wald
- Athinoula A. Martinos Center for Biomedical Imaging (Q.F., Q.T., C.N., A.N., T.W., L.L.W., S.Y.H.), Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.,Harvard-MIT Division of Health Sciences and Technology (L.L.W., S.Y.H.), Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - E C Klawiter
- Department of Neurology (N.M., J.D.B., A.W.R., E.C.K., S.Y.H.)
| | - S Y Huang
- Athinoula A. Martinos Center for Biomedical Imaging (Q.F., Q.T., C.N., A.N., T.W., L.L.W., S.Y.H.), Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.,Department of Neurology (N.M., J.D.B., A.W.R., E.C.K., S.Y.H.).,Division of Neuroradiology (S.Y.H.), Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.,Harvard-MIT Division of Health Sciences and Technology (L.L.W., S.Y.H.), Massachusetts Institute of Technology, Cambridge, Massachusetts
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Wang T, Liu X, Tian Q, Liang T, Chang P. Reduced SPOCK1 expression inhibits non-small cell lung cancer cell proliferation and migration through Wnt/β-catenin signaling. Eur Rev Med Pharmacol Sci 2019; 22:637-644. [PMID: 29461591 DOI: 10.26355/eurrev_201802_14288] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Accumulating evidence suggests that SPARC/osteonectin, cwcv, and kazal-like domain proteoglycan 1 (SPOCK1) contributes to the initiation and progression of human cancers. However, little is known about the function mechanisms of SPOCK1 in non-small cell lung cancer (NSCLC). The aim of this study was to investigate the molecular mechanism of SPOCK1 in NSCLC. PATIENTS AND METHODS The expression levels of SPOCK1 in NSCLC tissues and cell lines were analyzed by qRT-PCR and Western blotting. The proliferative activity of NSCLC cells was determined by MTT and colony formation assays. The transwell assay was used to examine the cell migration and invasive ability. To study the impact of SPOCK1 on Wnt/β‑catenin signaling, we further performed Western blotting for related proteins in this pathway. RESULTS We observed that the expression of SPOCK1 at both protein and mRNA levels was also increased in human NSCLC tissues and cell lines. Functionally, down-regulation of SPOCK1 in NSCLC cells markedly suppressed cell proliferation, colony formation, migration and invasion in vitro. Mechanistically, we found that indicated the activation of Wnt/β-catenin pathway was suppressed by SPOCK1 silencing. CONCLUSIONS The expression of SPOCK1 served as a tumor promoter, possibly through the Wnt/β-catenin signaling pathway in NSCLC. Targeting SPOCK1 could be a potential therapeutic strategy in NSCLC.
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Affiliation(s)
- T Wang
- Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, China.
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Lu X, Tian Q, Zhou S, Zhang S, Sun X, Tian G. Acute hemoperitoneum in third trimester: two case reports. CLIN EXP OBSTET GYN 2019. [DOI: 10.12891/ceog4746.2019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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Su H, Hurd Price CA, Jing L, Tian Q, Liu J, Qian K. Janus particles: design, preparation, and biomedical applications. Mater Today Bio 2019; 4:100033. [PMID: 32159157 PMCID: PMC7061647 DOI: 10.1016/j.mtbio.2019.100033] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 09/30/2019] [Accepted: 10/11/2019] [Indexed: 02/07/2023] Open
Abstract
Janus particles with an anisotropic structure have emerged as a focus of intensive research due to their diverse composition and surface chemistry, which show excellent performance in various fields, especially in biomedical applications. In this review, we briefly introduce the structures, composition, and properties of Janus particles, followed by a summary of their biomedical applications. Then we review several design strategies including morphology, particle size, composition, and surface modification, that will affect the performance of Janus particles. Subsequently, we explore the synthetic methodologies of Janus particles, with an emphasis on the most prevalent synthetic method (surface nucleation and seeded growth). Following this, we highlight Janus particles in biomedical applications, especially in drug delivery, bio-imaging, and bio-sensing. Finally, we will consider the current challenges the materials face with perspectives in the future directions.
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Affiliation(s)
- H. Su
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
| | - C.-A. Hurd Price
- State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- DICP-Surrey Joint Centre for Future Materials, Department of Chemical and Process Engineering, University of Surrey Guildford, Surrey, GU2 7XH, United Kingdom
| | - L. Jing
- State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Q. Tian
- State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - J. Liu
- State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- DICP-Surrey Joint Centre for Future Materials, Department of Chemical and Process Engineering, University of Surrey Guildford, Surrey, GU2 7XH, United Kingdom
| | - K. Qian
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
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Wang A, Hou Q, Si L, Huang X, Luo J, Lu D, Zhu J, Shangguan Y, Miao J, Xie Y, Wang Y, Zhao Q, Feng Q, Zhou C, Li Y, Fan D, Lu Y, Tian Q, Wang Z, Han B. The PLATZ Transcription Factor GL6 Affects Grain Length and Number in Rice. Plant Physiol 2019; 180:2077-2090. [PMID: 31138620 PMCID: PMC6670106 DOI: 10.1104/pp.18.01574] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 05/09/2019] [Indexed: 05/18/2023]
Abstract
Grain size is one of the key determinants of grain yield. Although a number of genes that control grain size in rice (Oryza sativa) have been identified, the overall regulatory networks behind this process remain poorly understood. Here, we report the map-based cloning and functional characterization of the quantitative trait locus GL6, which encodes a plant-specific plant AT-rich sequence- and zinc-binding transcription factor that regulates rice grain length and spikelet number. GL6 positively controls grain length by promoting cell proliferation in young panicles and grains. The null gl6 mutant possesses short grains, whereas overexpression of GL6 results in large grains and decreased grain number per panicle. We demonstrate that GL6 participates in RNA polymerase III transcription machinery by interacting with RNA polymerase III subunit C53 and transcription factor class C1 to regulate the expression of genes involved in rice grain development. Our findings reveal a further player involved in the regulation of rice grain size that may be exploited in future rice breeding.
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Affiliation(s)
- Ahong Wang
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Qingqing Hou
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lizhen Si
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Xuehui Huang
- College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Jianghong Luo
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Danfeng Lu
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Jingjie Zhu
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Yingying Shangguan
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Jiashun Miao
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Yifan Xie
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Yongchun Wang
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Qiang Zhao
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Qi Feng
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Congcong Zhou
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Yan Li
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Danlin Fan
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Yiqi Lu
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Qilin Tian
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Zixuan Wang
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
| | - Bin Han
- National Center for Gene Research, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 2000233, China
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Abstract
BACKGROUND The parallel decline of mobility and cognition with ageing is explained in part by shared brain structural changes that are related to fitness. However, the temporal sequence between fitness, brain structural changes and mobility loss has not been fully evaluated. METHODS Participants were from the Baltimore Longitudinal Study of Aging, aged 60 or older, initially free of cognitive and mobility impairments, with repeated measures of fitness (400-m time), mobility (6-m gait speed) and neuroimaging markers over 4 years (n = 332). Neuroimaging markers included volumes of total brain, ventricles, frontal, parietal, temporal and subcortical motor areas, and corpus callosum. Autoregressive models were used to examine the temporal sequence of each brain volume with mobility and fitness, adjusted for age, sex, race, body mass index, height, education, intracranial volume and APOE ɛ4 status. RESULTS After adjustment, greater volumes of total brain and selected frontal, parietal and temporal areas, and corpus callosum were unidirectionally associated with future faster gait speed over and beyond cross-sectional and autoregressive associations. There were trends towards faster gait speed being associated with future greater hippocampus and precuneus. Higher fitness was unidirectionally associated with future greater parahippocampal gyrus and not with volumes in other areas. Smaller ventricle predicted future higher fitness. CONCLUSION Specific regional brain volumes predict future mobility impairment. Impaired mobility is a risk factor for future atrophy of hippocampus and precuneus. Maintaining fitness preserves parahippocampal gyrus volume. Findings provide new insight into the complex and bidirectional relationship between the parallel decline of mobility and cognition often observed in older persons.
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Affiliation(s)
- Q Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - S M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - C Davatzikos
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - G Erus
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - E M Simonsick
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - S A Studenski
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - L Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
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Tian Q, Zhang ST, Gao HW, Lu R, Yang J, Wang HN, Hong TP. [The etiological analysis of 260 hospitalized cases with bilateral adrenal lesions]. Zhonghua Yi Xue Za Zhi 2019; 99:1246-1250. [PMID: 31060165 DOI: 10.3760/cma.j.issn.0376-2491.2019.16.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To summarize the etiologies of bilateral adrenal lesions and the changes of the disease profile in hospitalized patients. Methods: Bilateral adrenal lesion screening was conducted in all patients admitted to Peking University Third Hospital from 1994 to 2017. The etiologies and disease profiles of bilateral adrenal lesions were retrospectively analyzed. Results: A total of 260 patients with bilateral adrenal lesions were included in the study. There were 146 males and 114 females with a mean age of (55.4±16.2) years. The most common adrenal lesion was bilateral adrenal hyperplasia (75 cases, 28.8%), followed by bilateral adrenal adenomas (71 cases, 27.3%), metastatic carcinoma (51 cases, 19.6%), discordant bilateral adrenal lesions (27 cases, 10.4%), bilateral pheochromocytomas (13 cases, 5.0%), and others. The clear data of endocrine function evaluation could be found in 184 patients. Among them, 111 cases (60.3%) were nonfunctioning lessions, 34 cases (18.5%) with primary aldosteronism, 15 cases (8.1%) with pheochromocytoma, 13 cases (7.1%) with congenital adrenal hyperplasia, 6 cases (3.3%) with primary hypoadrenocorticism, and 5 cases (2.7%) with Cushing syndrome. Using every 8 years as a period of time, the number of hospitalized patients with bilateral adrenal lesions increased with years in three periods (8, 41 and 211 cases, respectively). Conclusions: The most common cause of bilateral adrenal lesions is adrenal hyperplasia in the hospitalized patients. More than half of bilateral adrenal lesions are nonfunctioning. In functional bilateral lesions, primary aldosteronism and pheochromocytoma account for a large proportion.
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Affiliation(s)
- Q Tian
- Department of Endocrinology and Metabolism, Peking University Third Hospital, Beijing 100191, China
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Li A, Hu Y, Liu X, Zhao L, Tian Q, Du M. PSXV-9 A Novel Anti-sense LncRNA of CEBPA Inhibits Bovine Adipogenic Differentiation. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- A Li
- Department of Animal Sciences, Washington State University,Pullman, WA, United States
| | - Y Hu
- Department of Animal Sciences, Washington State University,Pullman, WA, United States
| | - X Liu
- Department of Animal Sciences, Washington State University,Pullman, WA, United States
| | - L Zhao
- Department of Animal Sciences, Washington State University,Pullman, WA, United States
| | - Q Tian
- Department of Animal Sciences, Washington State University,Pullman, WA, United States
| | - M Du
- Washington State University,Pullman, WA, United States
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Tian Q, Feng Y, Huang H, Zhang J, Yu Y, Guan Z, Cai Y, Liao X. Production of lactobionic acid from lactose using the cellobiose dehydrogenase-3-HAA-laccase system fromPycnoporussp. SYBC-L10. Lett Appl Microbiol 2018; 67:589-597. [DOI: 10.1111/lam.13070] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/17/2018] [Accepted: 09/04/2018] [Indexed: 11/28/2022]
Affiliation(s)
- Q. Tian
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
| | - Y. Feng
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
| | - H. Huang
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
| | - J. Zhang
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
| | - Y. Yu
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
| | - Z. Guan
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
| | - Y. Cai
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
| | - X. Liao
- The Key Laboratory of Industrial Biotechnology; Ministry of Education; School of Biotechnology; Jiangnan University; Wuxi Jiangsu China
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Tian Q, Resnick SM, Ferrucci L. BRAIN MAP OF GAIT. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.2378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Q Tian
- National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States
| | - S M Resnick
- National Institute on Aging, Baltimore, MD, USA
| | - L Ferrucci
- National Institute on Aging, Baltimore, MD, USA
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