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Dong Z, Liu X, Low W, Riaz M, Tan Q, Sun X, Yan X, Hu C. Abnormal cell wall structure caused by boron nutrient imbalance in orchards could affect psyllid feeding behaviour, resulting in epidemic variation of Asian citrus psyllid. Plant Biol (Stuttg) 2024; 26:282-291. [PMID: 38194355 DOI: 10.1111/plb.13603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 11/09/2023] [Indexed: 01/10/2024]
Abstract
The control of Huanglongbing (HLB), one of the most destructive pests of citrus, relies heavily on the reduction of Asian citrus psyllid (ACP), Diaphorina citri Kuwayama. An in-depth understanding of ACP feeding behaviours among citrus plants is urgent for comprehensive management of orchards. An investigation was conducted in 37 citrus orchards in HLB epidemic areas, sampling shoots in the area with aggregation feeding of ACP (ACPf) and shoots in a neighbouring area without ACP feeding (CK), to study the interaction between leaf chemical composition and ACP psyllid feeding behaviours. Results of FTIR showed a strong absorption peak intensity, mainly representing functional groups originating from cell wall components in the leaf with ACP feeding. As compared with the control, cell wall components, such as alkali-soluble pectin, water-soluble pectin, total soluble pectin, cellulose, and hemicellulose, of the cell wall of ACPf increased by 134.0%, 14.0%, 18.0%, 12.5%, and 20.35%, respectively. These results suggest that cell wall mechanical properties significantly decreased in the term of decreases in pectin performance and cellulose mechanical properties. In addition, there was a remarkably lower boron (B) content in leaves and cell wall components with ACP feeding. Further analysis indicated that leaf B content significantly affected leaf cell wall components. Taken together, we provide evidence to demonstrate that the regional distribution of nutrient imbalance in orchards could affect psyllid feeding behaviour by weakening the cell wall structure, resulting in epidemic variation in ACP. This could help us to understand the management of psyllid infections in orchards with unbalanced nutrition.
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Affiliation(s)
- Z Dong
- College of Resource and Environment, China Agricultural University, Beijing, China
- Microelement Research Center, Hubei Provincial Engineering Laboratory for New Fertilizers, Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan, Hubei, China
| | - X Liu
- Microelement Research Center, Hubei Provincial Engineering Laboratory for New Fertilizers, Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan, Hubei, China
| | - W Low
- South China Agricultural University, Guangzhou, China
- Ganzhou Citrus Research Institute, Ganzhou, Jiangxi Province, China
| | - M Riaz
- South China Agricultural University, Guangzhou, China
- Ganzhou Citrus Research Institute, Ganzhou, Jiangxi Province, China
| | - Q Tan
- Microelement Research Center, Hubei Provincial Engineering Laboratory for New Fertilizers, Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan, Hubei, China
| | - X Sun
- Microelement Research Center, Hubei Provincial Engineering Laboratory for New Fertilizers, Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan, Hubei, China
| | - X Yan
- Ganzhou Citrus Research Institute, Ganzhou, Jiangxi Province, China
| | - C Hu
- Microelement Research Center, Hubei Provincial Engineering Laboratory for New Fertilizers, Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan, Hubei, China
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Niu C, Lv W, Zhu X, Dong Z, Yuan K, Jin Q, Zhang P, Li P, Mao M, Dong T, Chen Z, Luo J, Hou L, Zhang C, Hao K, Chen S, Huang Z. Intestinal Translocation of Live Porphyromonas gingivalis Drives Insulin Resistance. J Dent Res 2024; 103:197-207. [PMID: 38185909 DOI: 10.1177/00220345231214195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024] Open
Abstract
Periodontitis has been emphasized as a risk factor of insulin resistance-related systemic diseases. Accumulating evidence has suggested a possible "oral-gut axis" linking oral infection and extraoral diseases, but it remains unclear whether periodontal pathogens can survive the barriers of the digestive tract and how they play their pathogenic roles. The present study established a periodontitis mouse model through oral ligature plus Porphyromonas gingivalis inoculation and demonstrated that periodontitis aggravated diet-induced obesity and insulin resistance, while also causing P. gingivalis enrichment in the intestine. Metabolic labeling strategy validated that P. gingivalis could translocate to the gastrointestinal tract in a viable state. Oral administration of living P. gingivalis elicited insulin resistance, while administration of pasteurized P. gingivalis had no such effect. Combination analysis of metagenome sequencing and nontargeted metabolomics suggested that the tryptophan metabolism pathway, specifically indole and its derivatives, was involved in the pathogenesis of insulin resistance caused by oral administration of living P. gingivalis. Moreover, liquid chromatography-high-resolution mass spectrometry analysis confirmed that the aryl hydrocarbon receptor (AhR) ligands, mainly indole acetic acid, tryptamine, and indole-3-aldehyde, were reduced in diet-induced obese mice with periodontitis, leading to inactivation of AhR signaling. Supplementation with Ficz (6-formylindolo (3,2-b) carbazole), an AhR agonist, alleviated periodontitis-associated insulin resistance, in which the restoration of gut barrier function might play an important role. Collectively, these findings reveal that the oral-gut translocation of viable P. gingivalis works as a fuel linking periodontitis and insulin resistance, in which reduction of AhR ligands and inactivation of AhR signaling are involved. This study provides novel insight into the role of the oral-gut axis in the pathogenesis of periodontitis-associated comorbidities.
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Affiliation(s)
- C Niu
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - W Lv
- Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University, Shanghai, P. R. China
| | - X Zhu
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - Z Dong
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - K Yuan
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - Q Jin
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - P Zhang
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - P Li
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - M Mao
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - T Dong
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - Z Chen
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - J Luo
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - L Hou
- Department of Nursing, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P. R. China
| | - C Zhang
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - K Hao
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - S Chen
- Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University, Shanghai, P. R. China
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - Z Huang
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
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Shreeve N, Sproule C, Choy KW, Dong Z, Gajewska-Knapik K, Kilby MD, Mone F. Incremental yield of whole-genome sequencing over chromosomal microarray analysis and exome sequencing for congenital anomalies in prenatal period and infancy: systematic review and meta-analysis. Ultrasound Obstet Gynecol 2024; 63:15-23. [PMID: 37725747 DOI: 10.1002/uog.27491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/08/2023] [Accepted: 09/08/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVES First, to determine the incremental yield of whole-genome sequencing (WGS) over quantitative fluorescence polymerase chain reaction (QF-PCR)/chromosomal microarray analysis (CMA) with and without exome sequencing (ES) in fetuses, neonates and infants with a congenital anomaly that was or could have been detected on prenatal ultrasound. Second, to evaluate the turnaround time (TAT) and quantity of DNA required for testing using these pathways. METHODS This review was registered prospectively in December 2022. Ovid MEDLINE, EMBASE, MEDLINE (Web of Science), The Cochrane Library and ClinicalTrials.gov databases were searched electronically (January 2010 to December 2022). Inclusion criteria were cohort studies including three or more fetuses, neonates or infants with (i) one or more congenital anomalies; (ii) an anomaly which was or would have been detectable on prenatal ultrasound; and (iii) negative QF-PCR and CMA. In instances in which the CMA result was unavailable, all cases of causative pathogenic copy number variants > 50 kb were excluded, as these would have been detectable on standard prenatal CMA. Pooled incremental yield was determined using a random-effects model and heterogeneity was assessed using Higgins' I2 test. Subanalyses were performed based on pre- or postnatal cohorts, cases with multisystem anomalies and those meeting the NHS England prenatal ES inclusion criteria. RESULTS A total of 18 studies incorporating 902 eligible cases were included, of which eight (44.4%) studies focused on prenatal cohorts, incorporating 755 cases, and the remaining studies focused on fetuses undergoing postmortem testing or neonates/infants with congenital structural anomalies, constituting the postnatal cohort. The incremental yield of WGS over QF-PCR/CMA was 26% (95% CI, 18-36%) (I2 = 86%), 16% (95% CI, 9-24%) (I2 = 85%) and 39% (95% CI, 27-51%) (I2 = 53%) for all, prenatal and postnatal cases, respectively. The incremental yield increased in cases in which sequencing was performed in line with the NHS England prenatal ES criteria (32% (95% CI, 22-42%); I2 = 70%) and in those with multisystem anomalies (30% (95% CI, 19-43%); I2 = 65%). The incremental yield of WGS for variants of uncertain significance (VUS) was 18% (95% CI, 7-33%) (I2 = 74%). The incremental yield of WGS over QF-PCR/CMA and ES was 1% (95% CI, 0-4%) (I2 = 47%). The pooled median TAT of WGS was 18 (range, 1-912) days, and the quantity of DNA required was 100 ± 0 ng for WGS and 350 ± 50 ng for QF-PCR/CMA and ES (P = 0.03). CONCLUSION While WGS in cases with congenital anomaly holds great promise, its incremental yield over ES is yet to be demonstrated. However, the laboratory pathway for WGS requires less DNA with a potentially faster TAT compared with sequential QF-PCR/CMA and ES. There was a relatively high rate of VUS using WGS. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- N Shreeve
- Department of Obstetrics & Gynaecology, University of Cambridge, Cambridge, UK
| | - C Sproule
- Department of Obstetrics & Gynaecology, South Eastern Health and Social Care Trust, Belfast, UK
| | - K W Choy
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Z Dong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - K Gajewska-Knapik
- Department of Obstetrics & Gynaecology, Cambridge University Hospitals, Cambridge, UK
| | - M D Kilby
- Fetal Medicine Centre, Birmingham Women's and Children's Foundation Trust, Birmingham, UK
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Medical Genomics Research Group, Illumina, Cambridge, UK
| | - F Mone
- Centre for Public Health, Queen's University Belfast, Belfast, UK
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Luo M, Chen Y, Huang Q, Huang Z, Song H, Dong Z. Trichoderma koningiopsis Tk905: an efficient biocontrol, induced resistance agent against banana Fusarium wilt disease and a potential plant-growth-promoting fungus. Front Microbiol 2023; 14:1301062. [PMID: 38029145 PMCID: PMC10660281 DOI: 10.3389/fmicb.2023.1301062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023] Open
Abstract
Fusarium oxysporum f. sp. cubense tropical race 4 (FocTR4) is a devastating phytopathogen responsible for significant losses in banana production worldwide. Trichoderma and other biocontrol agents (BCAs) have been used as suitable disease control methods for banana Fusarium wilt. In this study, the endophytic T. koningiopsis Tk905 strain was isolated from the roots of dendrobe plants and identified utilizing morphological and molecular analyses. Antifungal activity tests revealed that Tk905 effectively inhibited mycelial growth with inhibition rates ranging from 26.52 to 75.34%. Additionally, Tk905 covered the pathogen mycelia, and spores were observed on or around the pathogen hyphae. The average root and shoot fresh weights and plant height, of Tk905-inoculated plants were significantly higher than those of the untreated plants. Furthermore, Tk905 treatment significantly increased the activity of antioxidant enzymes, such as catalase (CAT), phenylalanine ammonia-lyase (PAL), polyphenol oxidase (PPO), and peroxidase (POD), suggesting that Tk905 may enhance plant defence systems by activating their antioxidant mechanisms. Most importantly, Tk905-treated plants inoculated by three methods exhibited significantly lower disease incidence and severity than untreated plants. The protective effects of Tk905 against FocTR4 infection were not only observed in the early stages of infection but persisted throughout the experiment, suggesting that T. koningiopsis Tk905 can provide long-lasting protection against Fusarium wilt.
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Affiliation(s)
- Mei Luo
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key laboratory of Fruit and Vegetable Green Prevention and Control in South-China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
| | - Yue Chen
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Qiurong Huang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Zhenxin Huang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Handa Song
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key laboratory of Fruit and Vegetable Green Prevention and Control in South-China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key laboratory of Fruit and Vegetable Green Prevention and Control in South-China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
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Dong Z, Hao Y, Laugeman E, Hugo GD, Samson P, Chen Y, Zhao T. Performance of Adaptive Deep Learning Models for Dose Predictions on High-Quality Cone-Beam Computed Tomography Images. Int J Radiat Oncol Biol Phys 2023; 117:e661. [PMID: 37785959 DOI: 10.1016/j.ijrobp.2023.06.2097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Online plan generation remains a patient-specific and time-consuming process that can place a significant burden on clinics strained with staffing shortages. As previous research show that dose-volume histogram (DVH) prediction plays a crucial role in automatic treatment planning, the objective of this study is to assess the capability of adaptive deep learning models in predicting dose information in volumetric modulation radiotherapy plans using the high-quality CBCT images and contour information of organs-at-risk (OARs). MATERIALS/METHODS The relationship between dose-volume histograms (DVHs) in radiotherapy plans and the geometric information of organs-at-risk (OAR) and planning target volume (PTV) has been well established. To evaluate the performance of the current state-of-the-art convolutional neural network (CNN) models including VIT3D and Unet3D, and intuitive machine learning methods (i.e., SVM and MLP), we implemented those models for dose prediction and conducted a comprehensive analysis with treatment plans created from images acquired from patients who consented to participate an IRB-approved imaging study designed to evaluate the imaging performance of the system. In total, 20 plans created by certified medical dosimetrists were employed in this study, with 15 used for training the machine-learning models and the remaining 5 used for performance testing. Two evaluation metrics were used: 1) root mean square error (RMSE) of the predicted dose and true dose and 2) time spent on dose prediction. RESULTS The results of the analysis showed that the ViT-3D (Transformer) model had the lowest RMSE of 3.682 ±0.010, followed by the Unet-3D (CNN) model with an RMSE of. 3.973 ±0.021 The MLP model had an RMSE of 8.007 ±0.019 while the SVM model had the highest RMSE of 9.156 ±0.032. For a fair comparison, we use 4-fold cross validation (each has 15 training plans and 5 testing plans), and report the mean value with standard deviation. All models are optimized with Adam optimizer of a learning rate 0.01, and the training process is stopped after 100 epochs. These findings indicate that the ViT-3D (Transformer) model performed the best in terms of predicting the dose information in volumetric modulation radiotherapy plans based on the CBCT images and contour information of OARs. For tested plan which contains 81 CT images (512 × 512 resolution), the inference time to predict dose information with a general CPU machine (6-Core Intel Core i7) is about 1.5 minutes. With GPU resources, such as NVIDIA A100, the inference process can be finished within seconds. CONCLUSION The study demonstrated that current state-of-the-art machine-learning models can achieve promising accuracy in dose prediction using high-quality CBCT images. A well-trained machine-learning model could offer clinicians a quick and reliable prediction of the true dose to patients in the case of significant anatomical changes or provide patient-specific optimization objectives if replanning is warranted.
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Affiliation(s)
- Z Dong
- Washington University in St. Louis, St. Louis, MO
| | - Y Hao
- Washington University in St. Louis, St. Louis, MO
| | - E Laugeman
- Washington University in St. Louis, St. Louis, MO
| | - G D Hugo
- Washington University in St. Louis, Saint Louis, MO
| | - P Samson
- Washington University in St. Louis, St. Louis, MO
| | - Y Chen
- Washington University in St. Louis, St. Louis, MO
| | - T Zhao
- Washington University in St. Louis, St. Louis, MO
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Sun Y, Su Y, Meng Z, Zhang J, Zheng L, Miao S, Qin D, Ruan Y, Wu Y, Xiong L, Yan X, Dong Z, Cheng P, Shao M, Yu G. Biocontrol of bacterial wilt disease in tomato using Bacillus subtilis strain R31. Front Microbiol 2023; 14:1281381. [PMID: 37840725 PMCID: PMC10568012 DOI: 10.3389/fmicb.2023.1281381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 09/14/2023] [Indexed: 10/17/2023] Open
Abstract
Bacterial wilt disease caused by Ralstonia solanacearum is a widespread, severe plant disease. Tomato (Solanum lycopersicum), one of the most important vegetable crops worldwide, is particularly susceptible to this disease. Biological control offers numerous advantages, making it a highly favorable approach for managing bacterial wilt. In this study, the results demonstrate that treatment with the biological control strain Bacillus subtilis R31 significantly reduced the incidence of tomato bacterial wilt. In addition, R31 directly inhibits the growth of R. solanacearum, and lipopeptides play an important role in this effect. The results also show that R31 can stably colonize the rhizosphere soil and root tissues of tomato plants for a long time, reduce the R. solanacearum population in the rhizosphere soil, and alter the microbial community that interacts with R. solanacearum. This study provides an important theoretical basis for elucidating the mechanism of B. subtilis as a biological control agent against bacterial wilt and lays the foundation for the optimization and promotion of other agents such as R31.
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Affiliation(s)
- Yunhao Sun
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yutong Su
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Zhen Meng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Jie Zhang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Li Zheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Shuang Miao
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Di Qin
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yulan Ruan
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yanhui Wu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Lina Xiong
- School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xun Yan
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Ping Cheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
| | - Mingwei Shao
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Guohui Yu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
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Sun Y, Zheng C, Zhou J, Zhen M, Wei X, Yan X, Guo X, Zheng L, Shao M, Li C, Qin D, Zhang J, Xiong L, Xing J, Huang B, Dong Z, Cheng P, Yu G. Pathogen Profile of Klebsiella variicola, the Causative Agent of Banana Sheath Rot. Plant Dis 2023; 107:2325-2334. [PMID: 37596715 DOI: 10.1094/pdis-09-22-2018-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/20/2023]
Abstract
Banana (Musa spp.) is an important fruit and food crop worldwide. In recent years, banana sheath rot has become a major problem in banana cultivation, causing plant death and substantial economic losses. Nevertheless, the pathogen profile of this disease has not been fully characterized. Klebsiella variicola is a versatile bacterium capable of colonizing different hosts, such as plants, humans, insects, and animals, and is recognized as an emerging pathogen in various hosts. In this study, we obtained 12 bacterial isolates from 12 different banana samples showing banana sheath rot in Guangdong and Guangxi Provinces, China. Phylogenetic analysis based on 16S rRNA sequences confirmed that all 12 isolates were K. variicola strains. We sequenced the genomes of these strains, performed comparative genomic analysis with other sequenced K. variicola strains, and found a lack of consistency in accessory gene content among these K. variicola strains. However, prediction based on the pan-genome of K. variicola revealed 22 unique virulence factors carried by the 12 pathogenic K. variicola isolates. Microbiome and microbial interaction network analysis of endophytes between the healthy tissues of diseased plants and healthy plants of two cultivars showed that Methanobacterium negatively interacts with Klebsiella in banana plants and that Herbaspirillum might indirectly inhibit Methanobacterium to promote Klebsiella growth. These results suggest that banana sheath rot is caused by the imbalance of plant endophytes and opportunistic pathogenic bacteria, providing an important basis for research and control of this disease.[Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Affiliation(s)
- Yunhao Sun
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Chuanyuan Zheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Jianuan Zhou
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China
| | - Meng Zhen
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xingying Wei
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xun Yan
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xiaojian Guo
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Li Zheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Mingwei Shao
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Chunji Li
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Di Qin
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Jie Zhang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Lina Xiong
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Juejun Xing
- Laboratory and Equipment Management Department, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Bingzhi Huang
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou 510000, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Ping Cheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
| | - Guohui Yu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Beijing, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
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Sun Y, Cai D, Qin D, Chen J, Su Y, Zheng X, Meng Z, Zhang J, Xiong L, Dong Z, Cheng P, Peng X, Yu G. The plant protection preparation GZM improves crop immunity, yield, and quality. iScience 2023; 26:106819. [PMID: 37250797 PMCID: PMC10212988 DOI: 10.1016/j.isci.2023.106819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/10/2023] [Accepted: 05/02/2023] [Indexed: 05/31/2023] Open
Abstract
Lauryl alcohol, a natural compound found in plants and other organisms, is widely used to make surfactants, food, and pharmaceuticals. GZM, a plant protection preparation with lauryl alcohol as its major component is thought to establish a physical barrier on the plant surface, but its physiological functions are unknown. Here, we show that GZM improves the performance of peanut (Arachis hypogaea) plants in both the laboratory and the field. We demonstrate that the treatment with GZM or lauryl alcohol raises the contents of several specific lysophospholipids and induces the biosynthesis of phenylpropanoids, flavonoids, and wax in various plant species. In the field, GZM improves crop immunity, yield, and quality. In addition, GZM and lauryl alcohol can inhibit the growth of some pathogenic fungi. Our findings provide insights into the physiological and biological effects of GZM treatment on plants and show that GZM and lauryl alcohol are promising preparations in agricultural production.
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Affiliation(s)
- Yunhao Sun
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Dianxian Cai
- Laboratory of Plant Health, Zhuhai Runnong Science and Technology Co. Ltd, Zhuhai 519000, China
| | - Di Qin
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Jialiang Chen
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yutong Su
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xiaoying Zheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Zhen Meng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Jie Zhang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Lina Xiong
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Ping Cheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
| | - Xiaoming Peng
- Laboratory of Plant Health, Zhuhai Runnong Science and Technology Co. Ltd, Zhuhai 519000, China
| | - Guohui Yu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510225, China
- Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangzhou 510225, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
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Shen DY, Ma AJ, Dong Z. [Study on the relationship between secondhand smoke exposure and dyslipidemia in adult residents in Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:924-930. [PMID: 37380414 DOI: 10.3760/cma.j.cn112338-20220929-00828] [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: 06/30/2023]
Abstract
Objective: To understand the relationship between secondhand smoke exposure and dyslipidemia among adults in Beijing and to provide a scientific basis for relevant intervention. Methods: Data were from Beijing Adult Non-communicable and Chronic Diseases and Risk Factors Surveillance Program in 2017. A total of 13 240 respondents were selected by multistage cluster stratified sampling method. The monitoring contents include a questionnaire survey, physical measurement, collection of fasting venous blood, and determination of related biochemical indicators. SPSS 20.0 software was used for the chi-square test and multivariate logistic regression analysis. Results: The prevalence of total dyslipidemia (39.27%), hypertriglyceridemia (22.61%), and high LDL-C (6.03%) were the highest among those exposed to daily secondhand smoke. Among the male respondents, the prevalence of total dyslipidemia (44.42%) and hypertriglyceridemia (26.12%) were the highest among those exposed to secondhand smoke daily. Multivariate logistic regression analysis after adjustment for confounding factors showed that compared with no exposure to secondhand smoke, the population with an average exposure frequency of 1-3 days per week had the highest risk of total dyslipidemia (OR=1.276, 95%CI: 1.023-1.591). Among the patients with hypertriglyceridemia, those exposed to secondhand smoke daily had the highest risk (OR=1.356, 95%CI: 1.107-1.661). Among the male respondents, those exposed to secondhand smoke for 1-3 days per week had a higher risk of total dyslipidemia (OR=1.366, 95%CI: 1.019-1.831), and the highest risk of hypertriglyceridemia (OR=1.377, 95%CI: 1.058-1.793). There was no significant correlation between the frequency of secondhand smoke exposure and the risk of dyslipidemia among female respondents. Conclusions: Secondhand smoke exposure in Beijing adults, especially men, will increase the risk of total dyslipidemia, especially hyperlipidemia. Improving personal health awareness and minimizing or avoiding exposure to secondhand smoke is necessary.
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Affiliation(s)
- D Y Shen
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - A J Ma
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
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Liu BC, Wang HY, Dong Z, Zhang Y, Bai X, Ding XH, Zhang XJ, Xu W, Zhao J, Hao YW, Ye HY. [Diagnostic value of multiparametric MRI-based models in the assessment of extra-prostatic extension of prostate cancer]. Zhonghua Yi Xue Za Zhi 2023; 103:1439-1445. [PMID: 37198105 DOI: 10.3760/cma.j.cn112137-20221215-02656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Objective: To evaluate the diagnostic value of multiparametric magnetic resonance imaging (mpMRI) based models in the assessment of extra-prostatic extension (EPE) of prostate cancer. Methods: This retrospective study included 168 consecutive men with prostate cancers [aged 48 to 82 (66.6±6.8) years] who underwent radical prostatectomy and preoperative mpMRI examinations at the First Medical Center of the PLA General Hospital from January 2021 to February 2022. According to European Society of Urogenital Radiology (ESUR) score, EPE grade and mEPE score, all cases were independently evaluated by two radiologists, with disagreement reviewed by a senior radiologist as the final result. The diagnostic performance of each MRI-based model for pathologic EPE prediction was assessed using receiver operating characteristic curve (ROC), and the differences between the corresponding area under the curve (AUC) were compared using the DeLong test. The weighted Kappa test was used to evaluate the inter-reader agreement of each MRI-based model. Results: A total of 62 (36.9%) prostate cancer patients had pathologic confirmed EPE after radical prostatectomy. The AUC of ESUR score, EPE grade and mEPE score for predicting pathologic EPE were 0.836 (95%CI: 0.771-0.888), 0.834 (95%CI: 0.769-0.887) and 0.785 (95%CI: 0.715-0.844), respectively. The AUC of ESUR score and EPE grade were both superior to that of mEPE score with significant differences (all P<0.05), while there was no significant difference between the ESUR score and EPE grade models (P=0.900). EPE grading and mEPE score had good inter-reader consistency, with weighted Kappa values of 0.65 (95%CI: 0.56-0.74) and 0.74 (95%CI: 0.64-0.84), respectively. The inter-reader consistency of ESUR score was moderate, and the weighted Kappa value was 0.52 (95%CI: 0.40-0.63). Conclusion: All MRI-based models showed good preoperative diagnostic value in predicting EPE, among which the EPE grade resulted in more reliable performance with substantial inter-reader agreement.
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Affiliation(s)
- B C Liu
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - H Y Wang
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Z Dong
- Department of Radiology, the Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China
| | - Y Zhang
- Department of Radiology, the Sixth Medical Center of Chinese PLA General Hospital, Beijing 100048, China
| | - X Bai
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - X H Ding
- Department of Pathology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - X J Zhang
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - W Xu
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - J Zhao
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y W Hao
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - H Y Ye
- Department of Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
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Miao K, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis of hyperlipidemia in adult twins in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:544-551. [PMID: 37147824 DOI: 10.3760/cma.j.cn112338-20221007-00859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hyperlipidemia in adult twins in the Chinese National Twin Registry (CNTR) and explore the effect of genetic and environmental factors on hyperlipidemia. Methods: Twins recruited from the CNTR in 11 project areas across China were included in the study. A total of 69 130 (34 565 pairs) of adult twins with complete information on hyperlipidemia were selected for analysis. The random effect model was used to characterize the population and regional distribution of hyperlipidemia among twins. The concordance rates of hyperlipidemia were calculated in monozygotic twins (MZ) and dizygotic twins (DZ), respectively, to estimate the heritability. Results: The age of all participants was (34.2±12.4) years. This study's prevalence of hyperlipidemia was 1.3% (895/69 130). Twin pairs who were men, older, living in urban areas, married,had junior college degree or above, overweight, obese, insufficient physical activity, current smokers, ex-smokers, current drinkers, and ex-drinkers had a higher prevalence of hyperlipidemia (P<0.05). In within-pair analysis, the concordance rate of hyperlipidemia was 29.1% (118/405) in MZ and 18.1% (57/315) in DZ, and the difference was statistically significant (P<0.05). Stratified by gender, age, and region, the concordance rate of hyperlipidemia in MZ was still higher than that in DZ. Further, in within-same-sex twin pair analyses, the heritability of hyperlipidemia was 13.04% (95%CI: 2.61%-23.47%) in the northern group and 18.59% (95%CI: 4.43%-32.74%) in the female group, respectively. Conclusions: Adult twins were included in this study and were found to have a lower prevalence of hyperlipidemia than in the general population study, with population and regional differences. Genetic factors influence hyperlipidemia, but the genetic effect may vary with gender and area.
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Affiliation(s)
- K Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control , Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control , Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China
| | - J Deng
- Handan Center for Disease Control and Prevention of Hebei Province, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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12
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Wang YT, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis on hypertension in adult twins in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:536-543. [PMID: 37147823 DOI: 10.3760/cma.j.cn112338-20221007-00860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hypertension among adult twins in the Chinese National Twin Registry (CNTR) and to provide clues for exploring the role of genetic and environmental factors on hypertension. Methods: A total of 69 220 (34 610 pairs) of twins aged 18 and above with hypertension information were selected from CNTR registered from 2010 to 2018. Random effect models were used to describe the population and regional distribution of hypertension in twins. To estimate the heritability, the concordance rates of hypertension were calculated and compared between monozygotic twins (MZ) and dizygotic twins (DZ). Results: The age of all participants was (34.1±12.4) years. The overall self-reported prevalence of hypertension was 3.8%(2 610/69 220). Twin pairs who were older, living in urban areas, married, overweight or obese, current smokers or ex-smokers, and current drinkers or abstainers had a higher self-reported prevalence of hypertension (P<0.05). Analysis within the same-sex twin pairs found that the concordance rate of hypertension was 43.2% in MZ and 27.0% in DZ, and the difference was statistically significant (P<0.001). The heritability of hypertension was 22.1% (95%CI: 16.3%- 28.0%). Stratified by gender, age, and region, the concordance rate of hypertension in MZ was still higher than that in DZ. The heritability of hypertension was higher in female participants. Conclusions: There were differences in the distribution of hypertension among twins with different demographic and regional characteristics. It is indicated that genetic factors play a crucial role in hypertension in different genders, ages, and regions, while the magnitude of genetic effects may vary.
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Affiliation(s)
- Y T Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336,China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China
| | - J Deng
- Handan Center for Disease Control and Prevention of Hebei Province, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Liu L, Huang Y, Song H, Luo M, Dong Z. α-Pheromone Precursor Protein Foc4-PP1 Is Essential for the Full Virulence of Fusarium oxysporum f. sp. cubense Tropical Race 4. J Fungi (Basel) 2023; 9:jof9030365. [PMID: 36983533 PMCID: PMC10057649 DOI: 10.3390/jof9030365] [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: 02/19/2023] [Revised: 03/06/2023] [Accepted: 03/12/2023] [Indexed: 03/19/2023] Open
Abstract
Fusarium oxysporum f. sp. cubense (Foc), which causes Fusarium wilt of bananas, is considered one of the most destructive fungal pathogens of banana crops worldwide. During infection, Foc secretes many different proteins which promote its colonization of plant tissues. Although F. oxysporum has no sexual cycle, it has been reported to secrete an α-pheromone, which acts as a growth regulator, chemoattractant, and quorum-sensing signaling molecule; and to encode a putative protein with the hallmarks of fungal α-pheromone precursors. In this study, we identified an ortholog of the α-pheromone precursor gene, Foc4-PP1, in Foc tropical race 4 (TR4), and showed that it was necessary for the growth and virulence of Foc TR4. Foc4-PP1 deletion from the Foc TR4 genome resulted in decreased fungal growth, increased sensitivity to oxidative stress and cell-wall-damaging agents, and attenuation of pathogen virulence towards banana plantlets. Subcellular localization analysis revealed that Foc4-PP1 was concentrated in the nuclei and cytoplasm of Nicotiana benthamiana cells, where it could suppress BAX-induced programmed cell death. In conclusion, these findings suggest that Foc4-PP1 contributes to Foc TR4 virulence by promoting hyphal growth and abiotic stress resistance and inhibiting the immune defense responses of host plants.
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Affiliation(s)
- Lu Liu
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yinghua Huang
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Guangdong Agribusiness Tropical Crop Science Institute, Maoming 525100, China
| | - Handa Song
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Correspondence: (H.S.); (Z.D.); Tel.: +86-02089003192 (H.S. & Z.D.)
| | - Mei Luo
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Correspondence: (H.S.); (Z.D.); Tel.: +86-02089003192 (H.S. & Z.D.)
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14
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Ma AJ, Dong Z, Qi K, Jiang B, Xie C. [Study on the relationship between indexes of different abnormal weight and dyslipidemia in adults in Beijing City]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:400-405. [PMID: 36922174 DOI: 10.3760/cma.j.cn112150-20220526-00533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Objective: To analyze the relationship and consistency between indexes of different abnormal weight and dyslipidemia in adults in Beijing City. Methods: From August to December of 2017, 4 975 residents aged 18 to 79 years old in 5 districts of Beijing were randomly selected as subjects by using a multi-stage stratified cluster sampling method. Questionnaire, physical examination and laboratory tests were conducted. The prevalence of overweight/obesity, high body fat rate, central obesity, and high waist-to-height ratio was calculated. Partial correlation was used to analyze the correlation of blood lipid with body mass index (BMI), body fat rate, waist circumference and waist-height ratio. Logistic regression analysis for complex sampling was used to analyze the relationship between indexes of different abnormal weight and dyslipidemia after controlling for relevant risk factors, including age, sex, smoking status, drinking, insufficiency intake of vegetable and fruit, physical inactivity. Kappa value was computed to analyze the consistency between indexes of different abnormal weight. Results: The weighted prevalence of dyslipidemia was 30.48%, and it was higher in men than that in women (40.16% vs. 20.52%, P<0.01). The weighted rate of overweight/obesity, high body fat rate, central obesity, and high waist-to-height ratio was 56.65%, 47.52%, 42.48% and 59.45%, respectively. BMI, body fat rate, waist circumference and waist-to-height ratio were positively correlated with the level of total cholesterol, triglyceride, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol, and negatively correlated with high-density lipoprotein cholesterol. Logistic regression analysis for complex sampling showed that the high body fat rate (OR=1.67, 95%CI: 1.35-2.07), overweight/obesity (OR=1.65, 95%CI: 1.26-2.14) and high waist-to-height ratio (OR=1.46, 95%CI: 1.09-1.96) were associated with dyslipidemias. Kappa values of high body fat rate with overweight/obesity, high waist-to-height ratio and central obesity were 0.65, 0.53 and 0.58, respectively (P<0.05). Conclusion: In 2017, the prevalence of dyslipidemia in adults in Beijing City is high, especially in men. Overweight/obesity, high body fat rate and high waist-to-height ratio are associated with dyslipidemia. The high body fat rate is most associated with dyslipidemia.
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Affiliation(s)
- A J Ma
- Institute for Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control,Beijing 100013,China
| | - Z Dong
- Institute for Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control,Beijing 100013,China
| | - K Qi
- Institute for Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control,Beijing 100013,China
| | - B Jiang
- Institute for Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control,Beijing 100013,China
| | - C Xie
- Institute for Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control,Beijing 100013,China
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15
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Li X, Luo M, Song H, Dong Z. Whole-Genome Resource of Lasiodiplodia pseudotheobromae BaA, the Causative Agent of Black Root Rot Morinda officinalis. Plant Dis 2023; 107:542-545. [PMID: 36587237 DOI: 10.1094/pdis-06-22-1507-a] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Affiliation(s)
- Xiaoyi Li
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, 510225 Guangzhou, Guangdong, China
| | - Mei Luo
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, 510225 Guangzhou, Guangdong, China
- Key Laboratory of Fruit and Vegetable Green Prevention and Control in South China, Ministry of Agriculture and Rural Affairs, 510225 Guangzhou, Guangdong, China
| | - Handa Song
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, 510225 Guangzhou, Guangdong, China
- Key Laboratory of Fruit and Vegetable Green Prevention and Control in South China, Ministry of Agriculture and Rural Affairs, 510225 Guangzhou, Guangdong, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, 510225 Guangzhou, Guangdong, China
- Key Laboratory of Fruit and Vegetable Green Prevention and Control in South China, Ministry of Agriculture and Rural Affairs, 510225 Guangzhou, Guangdong, China
- Deqing Zhongkai Agricultural Technical Innovation Research Co. Ltd., 526600 Zhaoqing, Guangdong, China
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16
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Liu XM, Yao J, Dong Z, Yin CQ, Wu WH, Yuan F, Luo TY, Chang SS, Yan YF, Pu JZ, Song GY. [Transcatheter aortic valve replacement via single-vessel approach technique:a case report]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:73-75. [PMID: 36655245 DOI: 10.3760/cma.j.cn112148-20221130-00947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- X M Liu
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - J Yao
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - Z Dong
- Integrated Traditional and Western Medicine Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - C Q Yin
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - W H Wu
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - F Yuan
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - T Y Luo
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - S S Chang
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - Y F Yan
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - J Z Pu
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
| | - G Y Song
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
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Sun Y, Su Y, Hussain A, Xiong L, Li C, Zhang J, Meng Z, Dong Z, Yu G. Complete genome sequence of the Pogostemon cablin bacterial wilt pathogen Ralstonia solanacearum strain SY1. Genes Genomics 2023; 45:123-134. [PMID: 35670995 PMCID: PMC9171469 DOI: 10.1007/s13258-022-01270-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 05/09/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Ralstonia solanacearum causes bacterial wilt of Pogostemon cablin which is an important aromatic herb and also the main materials of COVID-19 therapeutic traditional drugs. However, we are lacking the information on the genomic sequences of R. solanacearum isolated from P. cablin. OBJECTIVE The acquisition and analysis of this whole-genome sequence of the P. cablin bacterial wilt pathogen. METHODS An R. solanacearum strain, named SY1, was isolated from infected P. cablin plants, and the complete genome sequence was sequenced and analyzed. RESULTS The SY1 strain contains a 3.70-Mb chromosome and a 2.18-Mb megaplasmid, with GC contents of 67.57% and 67.41%, respectively. A total of 3308 predicted genes were located on the chromosome and 1657 genes were located in the megaplasmid. SY1 strain has 273 unique genes compared with five representative R. solanacearum strains, and these genes were enriched in the plant-pathogen interaction pathway. SY1 possessed a higher syntenic relationship with phylotype I strains, and the arsenal of type III effectors predicted in SY1 were also more closely related to those of phylotype I strains. SY1 contained 14 and 5 genomic islands in its chromosome and megaplasmid, respectively, and two prophage sequences in its chromosome. In addition, 215 and 130 genes were annotated as carbohydrate-active enzymes and antibiotic resistance genes, respectively. CONCLUSION This is the first genome-scale assembly and annotation for R. solanacearum which isolated from infected P. cablin plants. The arsenal of virulence and antibiotic resistance may as the determinants in SY1 for infection of P. cablin plants.
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Affiliation(s)
- Yunhao Sun
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yutong Su
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Ansar Hussain
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Lina Xiong
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Chunji Li
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Jie Zhang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Zhen Meng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China.
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
| | - Guohui Yu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China.
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
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18
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Chen X, Luo M, Wu W, Dong Z, Zou H. Virulence-Associated Genes of Calonectria ilicola, Responsible for Cylindrocladium Black Rot. J Fungi (Basel) 2022; 8:jof8080869. [PMID: 36012857 PMCID: PMC9410443 DOI: 10.3390/jof8080869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/12/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022] Open
Abstract
The Cylindrocladium black rot caused by Calonectria ilicicola is a destructive disease affecting a broad range of crops. Herein, we study virulence-associated genes of C. ilicicolaCi14017 isolated from diseased peanut roots (Arachis hypogaea L.). Ci14017 was identified via phylogenetic analysis of the internal transcribed spacer region and standard Koch’s postulate testing. Virulence-associated genes were based on genome analyses and comparative analysis of transcriptome and proteome profiles of sensitive and resistant peanut cultivars. Ci14017 identified as C. ilicicola has a 66 Mb chromosome with 18,366 predicted protein-coding genes. Overall, 46 virulence-associated genes with enhanced expression levels in the sensitive cultivars were identified. Sequence analysis indicated that the 46 gene products included two merops proteins, eight carbohydrate-active enzymes, seven cytochrome P450 enzymes, eight lipases, and 20 proteins with multi-conserved enzyme domains. The results indicate a complex infection mechanism employed by Ci14017 for causing Cylindrocladium black rot in peanuts.
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Affiliation(s)
- Xinyu Chen
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Mei Luo
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Wei Wu
- College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Correspondence: (Z.D.); (H.Z.); Tel.: +86-020-89-0031-92 (Z.D.); Tel.: +86-591-837-8469 (H.Z.)
| | - Huasong Zou
- College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Correspondence: (Z.D.); (H.Z.); Tel.: +86-020-89-0031-92 (Z.D.); Tel.: +86-591-837-8469 (H.Z.)
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19
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Xi YE, Gao WJ, Hong XM, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li L. [Heritability and genetic correlation of body mass index and coronary heart disease in Chinese adult twins]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:940-946. [PMID: 35899346 DOI: 10.3760/cma.j.cn112150-20210707-00651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To examine the heritability of body mass index (BMI) and coronary heart disease (CHD), and to explore whether genetic factors can explain their correlation. Methods: Participants were from 11 provinces/municipalities reqistered in the Chinese National Twin Registry (CNTR) from 2010 to 2018. Participants data were collected from face-to-face questionnaire survey. Bivariate structure equation model was used to estimate the heritability and the genetic correlation of BMI and CHD. Results: A total of 20 340 pairs of same-sex twins aged ≥25 years were included in this study. After adjusting for age and gender, the heritability of BMI and CHD was 0.52 (95%CI: 0.49-0.55) and 0.76 (95%CI: 0.69-0.81), respectively. Further, a genetic correlation was identified between BMI and CHD (rA=0.10, 95%CI:0.02-0.17). Conclusion: In Chinese adult twin population, BMI and CHD are affected by genetic factors, and their correlation can be attributed to the common genetic basis.
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Affiliation(s)
- Y E Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X M Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Wu T, Dong Z, Wu Y, Huang H. P-719 Effect of frozen and thawed embryo transfer on metabolism of children in early childhood. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Study question
We aimed to investigate the metabolic profile at age 1.5 – 4 years in chidren conceived from FET.
Summary answer
Plasma concentration of ApoE , fasting insulin and 11 small molecule metabolities were different beween FET group and the NC group.
What is known already
Rencently,we showed that FET-conceived male mouse offspring presented glucose metabolism dysfunction mainly manifesting insulin resistance. Observations from human studies indicate that body fat composition in IVF children is disturbed and children conceived by IVF/ICSI have a less favourable glucose and cardiovascular metabolic profile in childhood when compared with naturally conceived. But human study emphasised on metabolic profile of children concieved from FET is limited, one follow-up study have suggested that children conceived by FET often show abnormal lipid metabolism.
Study design, size, duration
284 children at early childhood (1.5-4 years) conceived from FET or naturally conceived were recruited based on the data from electronic Case Report Forms (e-CRF) in the International Peace Maternity and Child Health Hospital (IPMCHH) from September 2018 to November 2019. A total of 147 children (with 118 born after FET and 29 conceived naturally) was included for biochemical examination and metabolomics analysis.
Participants/materials, setting, methods
The peripheral venous blood of 147 children aged 1.5 - 4 years (with 118 born after FET and 29 conceived naturally) was drawn in the fasting state (>8h). FBG was measured using a glucometer, plasma concentrations of TC,TG, HDL , LDL were measured by chemistry analyzer, commercial ELISA kits were used for the measurment of Apolipoprotein, insulin, leptin, CRP,FT3, FT4, and TSH. Metabolomic analysis was performed on an UPLC-MS/MS system against 210 metabolites.
Main results and the role of chance
The results of present study revealed that the chidren conceived from FET have different metabolite profile than the naturally conceived children. Except for the higher BMI of chidren from FET group, ApoE and insulin were found respectivedly higher and lower in chidren from FET group than in NC group. As for metabolomic analysis,small metabolities which reflect intestinal fermentation such as second bile acid and short chain fatty acids was significantly higher in children conceived from FET; unsaturated fatty acids which are crucial for neurodevelopment was significanty lower in FET group.
Limitations, reasons for caution
Firstly, due to the small sample size, larger sample size and a longer follow-up period will be needed to observe the long-term metabolic profile and neurobehavioral performance of offspring conceived from FET. Secondly, we did not rule out other factors that may have influence on the metabolism of children.
Wider implications of the findings
To our knowledged, we demenstrated the metabolic profile of chidren born after FET in early childhood by metabolomic analysis for the first time.The fast insulin level was significant decreased in FET group than NC group, which is opposes to previous findings.
Trial registration number
2016YFC1000203
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Affiliation(s)
- T Wu
- International Peace Maternity and Child Health Hospital- School of Medicine- Shanghai Jiao Tong University- Shanghai- China, Shanghai Key Laboratory of Embryo Original Diseases- Shanghai- China , Shanghai, China
| | - Z Dong
- International Peace Maternity and Child Health Hospital- School of Medicine- Shanghai Jiao Tong University- Shanghai- China, Shanghai Key Laboratory of Embryo Original Diseases- Shanghai- China , Shanghai, China
| | - Y Wu
- Obstetrics and Gynecology Hospital- Fudan University- No. 419- Fangxie Rd.- Shanghai- 200000- China, Obstetrics and Gynecology , Shanghai, China
| | - H Huang
- Obstetrics and Gynecology Hospital- Fudan University- No. 419- Fangxie Rd.- Shanghai- 200000- China, Obstetrics and Gynecology , Shanghai, China
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Wang H, Lin Q, Dong L, Wu W, Liang Z, Dong Z, Ye H, Liao L, Zhang LH. A Bacterial Isolate Capable of Quenching Both Diffusible Signal Factor- and N-Acylhomoserine Lactone-Family Quorum Sensing Signals Shows Much Enhanced Biocontrol Potencies. J Agric Food Chem 2022; 70:7716-7726. [PMID: 35708354 PMCID: PMC9248010 DOI: 10.1021/acs.jafc.2c01299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/27/2022] [Accepted: 05/27/2022] [Indexed: 06/01/2023]
Abstract
N-Acylhomoserine lactone (AHL) and diffusible signal factor (DSF) molecules are two families of widely conserved quorum sensing (QS) signals. Quorum quenching (QQ) via enzymatic inactivation of QS signals is a promising strategy of biocontrol. In the search for biocontrol agent quenching both AHL and DSF signals, it has been recently identified that DSF-quenching biocontrol agent Pseudomonas sp. HS-18 contains at least three genes (aigA, aigB, and aigC) encoding AHL-acylases displaying strong AHL-acylase activities on various AHLs. Among them, AigA and AigC presented broad-spectrum enzyme activity against AHLs, while AigB preferred longer AHLs. Interestingly, transcriptional expression of aigC could be significantly induced by AHL signals. Heterologous expression of aigA-C in Burkholderia cenocepacia and Pseudomonas aeruginosa resulted in drastically decreased AHL accumulation, virulence factor production, biofilm formation, motility, and virulence on plants. Significantly, the two types of QQ mechanisms in HS-18 showed a strong and much desired synergistic effect for enhanced biocontrol potency against AHL- and DSF-dependent pathogens.
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Affiliation(s)
- Huishan Wang
- Guangdong
Province Key Laboratory of Microbial Signals and Disease Control,
Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China
| | - Qiqi Lin
- Guangdong
Province Key Laboratory of Microbial Signals and Disease Control,
Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China
| | - Lingling Dong
- Guangdong
Province Key Laboratory of Microbial Signals and Disease Control,
Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China
| | - Wenting Wu
- Guangdong
Province Key Laboratory of Microbial Signals and Disease Control,
Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China
| | - Zhibing Liang
- Guangdong
Province Key Laboratory of Microbial Signals and Disease Control,
Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China
| | - Zhangyong Dong
- Institute
of Plant Health, Zhongkai University of
Agriculture and Engineering, Guangzhou 510225, China
| | - Huijuan Ye
- Zhaoqing
Food Inspection Institute, Zhaoqing, Guangdong Province 526000, China
| | - Lisheng Liao
- Guangdong
Province Key Laboratory of Microbial Signals and Disease Control,
Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China
| | - Lian-Hui Zhang
- Guangdong
Province Key Laboratory of Microbial Signals and Disease Control,
Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China
- Guangdong
Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Institute
of Plant Health, Zhongkai University of
Agriculture and Engineering, Guangzhou 510225, China
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22
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Dean CJ, Labagnara K, Lee AK, Yun DJ, Dong Z, Mishall PL, Pinkas A. Bilateral vertebral arteries entering the C4 foramen transversarium with the left vertebral artery originating from the aortic arch. Folia Morphol (Warsz) 2022; 82:721-725. [PMID: 35692111 DOI: 10.5603/fm.a2022.0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/04/2022] [Indexed: 11/25/2022]
Abstract
Vertebral arteries (VAs) serve as major blood vessels to the central nervous system. VAs typically arise from the subclavian arteries and ascend separately within the transverse foramina of the cervical vertebrae (C6-C1) before entering the skull at the foramen magnum and joining at the base of the pons to form the basilar artery of the vertebrobasilar circulation. Therefore, variations in the origin and anatomic course of the VAs have implications for invasive medical procedures involving the superior thoracic/cervical regions or the cervical vertebrae. The current case report describes variation in the entry point of both VAs and the site of origin of the left vertebral artery. The variation was revealed during routine dissection of a 72-year-old female cadaver. It was found that the left vertebral artery originated directly from the aortic arch to abnormally enter the transverse foramen of C4 instead of the transverse foramen of C6. The right vertebral artery arose as usual from the right subclavian artery. However, the right vertebral artery also directly entered the transverse foramen of C4 instead of the transverse foramen of C6.
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Affiliation(s)
- C J Dean
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - K Labagnara
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - A K Lee
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - D J Yun
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Z Dong
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - P L Mishall
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Ophthalmology and Visual Science, Albert Einstein College of Medicine, Bronx, NY, United States
| | - A Pinkas
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States.
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23
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Bai H, Guo Q, Yang B, Dong Z, Li X, Song Q, Jiang Y, Wang Z, Chang G, Chen G. Effects of residual feed intake divergence on growth performance, carcass traits, meat quality, and blood biochemical parameters in small-sized meat ducks. Poult Sci 2022; 101:101990. [PMID: 35841639 PMCID: PMC9289854 DOI: 10.1016/j.psj.2022.101990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/10/2022] [Accepted: 05/29/2022] [Indexed: 11/28/2022] Open
Abstract
Feed efficiency (FE) is a major economic trait of meat duck. This study aimed to evaluate the effects of residual feed intake (RFI) divergence on growth performance, carcass traits, meat quality, and blood biochemical parameters in small-sized meat ducks. A total of 500 healthy 21-day-old male ducks were housed in individual cages until slaughter at 63 d of age. The growth performance was determined for all the ducks. The carcass yield, meat quality, and blood biochemical parameters were determined for the selected 30 high-RFI (HRFI) and 30 low-RFI (LRFI) ducks. In terms of growth performance, the RFI, feed conversion ratio (FCR), and average daily feed intake (ADFI) were found to be significantly lower in the LRFI group (P < 0.01), whereas no differences were observed in the BW and body weight gain (P > 0.05). For slaughter performance, no differences were observed in the carcass traits between the LRFI and HRFI groups (P > 0.05). For meat quality, the shear force of breast muscle was significantly lower in the LRFI group (P < 0.05), while the other meat quality traits of breast and thigh muscles demonstrated no differences (P > 0.05). For blood biochemical parameters, the serum concentrations of triglycerides (TG) and glucose (GLU) were significantly lower in the LRFI group (P < 0.05), while the other parameters showed no differences (P > 0.05). The correlation analysis demonstrated a high positive correlation between RFI, FCR, and ADFI (P < 0.01). The RFI demonstrated a negative effect on the breast muscle and lean meat yields, but a positive effect on the shear force of breast muscle (P < 0.05). Further, the RFI demonstrated a positive effect on the TG and GLU levels (P < 0.05). These results indicate that the selection for low RFI could improve the FE of small-sized meat ducks without affecting the production performance. This study provides valuable insight into the biological processes underlying the variations in FE in small-sized meat ducks.
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Affiliation(s)
- H Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Jiangsu Yangzhou 225009, China
| | - Q Guo
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - B Yang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Z Dong
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - X Li
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Q Song
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Y Jiang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Z Wang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - G Chang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Jiangsu Yangzhou 225009, China; Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - G Chen
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Jiangsu Yangzhou 225009, China; Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.
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24
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Li R, Huang C, Hong C, Wang J, Li Q, Hu C, Cui H, Dong Z, Zhu H, Liu L, Xiao L. [Impact of nonsteroidal anti-inflammatory drugs on efficacy of anti-PD-1 therapy for primary liver cancer]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:698-704. [PMID: 35673913 DOI: 10.12122/j.issn.1673-4254.2022.05.10] [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 assess the impact of nonsteroidal anti-inflammatory drugs (NSAIDs) on clinical outcomes of patients receiving anti-PD-1 immunotherapy for hepatocellular carcinoma. METHODS We conducted a retrospective study among 215 patients with primary liver cancer receiving immunotherapy between June, 2018 and October, 2020. The patients with balanced baseline characteristics were selected based on propensity matching scores, and among them 33 patients who used NSAIDs were matched at the ratio of 1∶3 with 78 patients who did not use NSAIDs. We compared the overall survival (OS), progression-free survival (PFS), and disease control rate (DCR) between the two groups. RESULTS There was no significant difference in OS between the patients using NSAIDs (29.7%) and those who did not use NSAIDs (70.2%). Univariate and multivariate analyses did not show an a correlation of NSAIDs use with DCR (univariate analysis: OR=0.602, 95% CI: 0.299-1.213, P=0.156; multivariate analysis: OR=0.693, 95% CI: 0.330-1.458, P=0.334), PFS (univariate analysis: HR=1.230, 95% CI: 0.789-1.916, P=0.361; multivariate analysis: HR=1.151, 95% CI: 0.732-1.810, P=9.544), or OS (univariate analysis: HR=0.552, 95% CI: 0.208-1.463, P=0.232; multivariate analysis: HR=1.085, 95% CI: 0.685-1.717, P=0.729). CONCLUSION Our results show no favorable effect of NSAIDs on the efficacy of immunotherapy in patients with advanced primary liver cancer, but this finding still needs to be verified by future prospective studies of large cohorts.
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Affiliation(s)
- R Li
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.,Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - C Huang
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.,Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - C Hong
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.,Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - J Wang
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Q Li
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - C Hu
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.,Department of Infectious Diseases, Guangzhou First People's Hospital, Guangzhou 510180, China
| | - H Cui
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Dong
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - H Zhu
- Department of Oncology, First Affiliated Hospital of University of South China, Hengyang 421001, China
| | - L Liu
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.,Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Xiao
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.,Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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25
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Xi YE, Gao WJ, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li L. [Gene-lifestyle interaction on coronary heart disease in adult twins of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:649-654. [PMID: 35589567 DOI: 10.3760/cma.j.cn112338-20210707-00530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the gene-lifestyle interaction on coronary heart disease (CHD) in adult twins of China. Methods: Participants were selected from twin pairs registered in the Chinese National Twin Registry (CNTR). Univariate interaction model was used to estimate the interaction, via exploring the moderation effect of lifestyle on the genetic variance of CHD. Results: A total of 20 477 same-sex twin pairs aged ≥25 years were recruited, including 395 CHD cases, and 66 twin pairs both had CHD. After adjustment for age and sex, no moderation effects of lifestyles, including current smoking, current drinking, physical activity, intake of vegetable and fruit, on the genetic variance of CHD were found (P>0.05), suggesting no significant interactions. Conclusion: There was no evidence suggesting statistically significant gene-lifestyle interaction on CHD in adult twins of China.
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Affiliation(s)
- Y E Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Diseases Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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26
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Cao Y, Chau M, Zheng Y, Zhao YL, Kwan A, Hui A, Lam YH, Tan T, Tse WT, Wong L, Leung TY, Dong Z, Choy KW. Exploring the diagnostic utility of genome sequencing for fetal congenital heart defects. Prenat Diagn 2022; 42:862-872. [PMID: 35441720 DOI: 10.1002/pd.6151] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The diagnostic yield for congenital heart defects (CHD) with routine genetic testing is around 10-20% when considering the pathogenic CNVs or aneuploidies as positive findings. This is a pilot study to investigate the utility of genome sequencing (GS) for prenatal diagnosis of CHD. METHODS Genome sequencing (GS, 30X) was performed on 13 trios with CHD for which karyotyping and/or chromosomal microarray results were non-diagnostic. RESULTS Trio GS provided a diagnosis for 4/13 (30.8%) fetuses with complex CHDs and other structural anomalies. Findings included pathogenic or likely pathogenic variants in DNAH5, COL4A1, PTPN11, and KRAS. Of nine cases without a possibly genetic etiology by GS, we had follow-up on eight. For five of them (60%), the parents chose to keep the pregnancy. A balanced translocation [46,XX,t(14;22)(q32.33;q13.31)mat] was detected in a trio with biallelic DNAH5 mutations, which together explained the recurrent fetal situs inversus and dextrocardia that was presumably due to de novo Phelan-McDermid syndrome. A secondary finding of a BRCA2 variant and carrier status of HBB, USH2A, HBA1/HBA2 were detected in the trio. CONCLUSIONS GS expands the diagnostic scope of mutation types over conventional testing, revealing the genetic etiology for fetal heart anomalies. Patients without a known genetic abnormality indicated by GS likely opted to keep pregnancy especially if the heart issue could be repaired. We provide evidence to support the application of GS for fetuses with CHD. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Y Cao
- Department of Paediatrics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mhk Chau
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y Zheng
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y L Zhao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ahw Kwan
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Asy Hui
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y H Lam
- OB GYN ULTRASOUND, Henley Building, 5 Queen's Road C, Central, Hong Kong SAR, China
| | - Tyt Tan
- Tony Tan Women and Fetal Clinic, Mount Alvernia Hospital, Singapore
| | - W T Tse
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - L Wong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - T Y Leung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong SAR, China
| | - Z Dong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - K W Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong SAR, China
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27
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Xiong L, Xia M, Wang Q, Meng Z, Zhang J, Yu G, Dong Z, Lu Y, Sun Y. DNA aptamers specific for Legionella pneumophila: systematic evolution of ligands by exponential enrichment in whole bacterial cells. Biotechnol Lett 2022; 44:777-786. [PMID: 35416565 DOI: 10.1007/s10529-022-03252-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/31/2022] [Indexed: 11/30/2022]
Abstract
Legionella pneumophila is the major causative agent of Legionnaires' disease and Pontiac fever, which pose major public health problems. Rapid detection of L. pneumophila is important for global control of these diseases. Aptamers, short oligonucleotides that bind to targets with high affinity and specificity, have great potential for use in pathogenic bacterium detection, diagnostics, and therapy. Here, we used a whole-cell SELEX (systematic evolution of ligands by exponential enrichment) method to isolate and characterize single-stranded DNA (ssDNA) aptamers against L. pneumophila. A total of 60 ssDNA sequences were identified after 17 rounds of selection. Other bacterial species (Escherichia coli, Bacillus subtilis, Pseudomonas syringae, Staphylococcus aureus, Legionella quateirensis, and Legionella adelaidensis) were used for counterselection to enhance the specificity of ssDNA aptamers against L. pneumophila. Four ssDNA aptamers showed strong affinity and high selectivity for L. pneumophila, with Kd values in the nanomolar range. Bioinformatic analysis of the most specific aptamers revealed predicted conserved secondary structures that might bind to L. pneumophila cell walls. In addition, the binding of these four fluorescently labeled aptamers to the surface of L. pneumophila was observed directly by fluorescence microscopy. These aptamers identified in this study could be used in the future to develop medical diagnostic tools and public environmental detection assays for L. pneumophila.
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Affiliation(s)
- Lina Xiong
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Mingchen Xia
- Guangzhou Saite Testing Co., LTD, Guangzhou, China
| | - Qinglin Wang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Zhen Meng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China.,College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China
| | - Jie Zhang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China.,College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Guohui Yu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China.,College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China.,College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China
| | - Yongjun Lu
- School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Yunhao Sun
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China. .,College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, No. 24, Dongsha Street, Guangzhou, China.
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28
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Jiang B, Fang K, Han XY, Dong Z. [Characteristics of high-risk cardiovascular disease among residents aged 35-75 in 8 districts of Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:366-372. [PMID: 35345292 DOI: 10.3760/cma.j.cn112338-20210624-00493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To understand the characteristics and current situation of high risks related to cardiovascular disease among residents aged 35-75 in Beijing and to provide scientific reference for the formulation and improvement of cardiovascular disease prevention and control strategies and measures. Methods: According to the data of the Cardiovascular Disease Screening and Management Program in Beijing, 93 520 participants aged 35-75 in 8 districts of Beijing were selected for analysis. We used the χ2 test to compare the high-risk prevalence of cardiovascular disease in different population characteristics. The multivariate logistic regression model was used to analyze the relationship between population characteristics and the high risks of cardiovascular disease. Results: The prevalence of high-risk cardiovascular disease was 20.82% (19 471/93 520). The prevalence of high-risk population in the 65-75 years-old was significantly higher than those of other age groups [29.05% (5 151/17 733), χ2=3 359.37, P<0.001], and the prevalence increased with age (trend χ2=3 121.75, P<0.05). The prevalence of high risk in males was significantly higher than that of women (31.19%, 10 752/34 476 vs. 14.77%, 8 719/59 044, χ2=3 559.87, P<0.05). The most common clustered risk factors appeared as hypertension and diabetes (29.80%, 5 802/19 471), hypertension with smoking (37.84%, 4 069/10 752) in males, and hypertension with diabetes mellitus in females (49.32%, 4 300/8 719), in urban areas (33.62%, 2 571/7 647) and in suburbs (27.33%, 3 231/11 824). Lower education [high school (OR=1.56,95%CI:1.46-1.66), middle school (OR=1.99,95%CI:1.88-2.12), primary school and below (OR=2.28,95%CI:2.12-2.45)], non-Han ethnicity (OR=1.19, 95%CI: 1.07-1.33), unmarried (OR=1.16, 95%CI: 1.08-1.24), drinking alcohol (OR=3.06, 95%CI: 2.94-3.19), obesity (OR=1.85, 95%CI: 1.77-1.93), overweight (OR=1.41, 95%CI: 1.36-1.47), etc., were positively correlated with the high risk of cardiovascular disease. Conclusions: We noticed that the prevalence of high-risk groups of cardiovascular disease aged 35-75 years was around 20% in Beijing, and the proportion in males was higher than females. Low education, drinking, overweight, and obesity were positively correlated with the risks of cardiovascular disease.
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Affiliation(s)
- B Jiang
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - K Fang
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - X Y Han
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
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Xie C, Ma AJ, Xie J, Jiang B, Fang K, Wei YQ, Dong Z. [Current status of regular exercise and influencing factors in 18-64 year old labor force population in Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:373-379. [PMID: 35345293 DOI: 10.3760/cma.j.cn112338-20210727-00589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To understand the regular exercise status and influencing factors in 18-64 year-old labor force population in Beijing, and provide evidences for behavioral intervention. Methods: Data were collected from Beijing Adult Non-communicable and Chronic Diseases and Risk Factors Surveillance Program from August to December, 2017. The stratified cluster sampling method was used to select 13 240 survey subjects throughout the city. The valid sample size included in this study were 11 604 persons aged 18 to 64 years. Questionnaire was used to collection the information about basic demographic characteristics, chronic disease history and physical activity prevalence of the study subjects. The body height and weight were measured by standard methods. Fasting venous blood samples were collected for the detection of fasting blood glucose, blood lipids and other biochemical indicators. Software SPSS 20.0 was used fort complex sampling sample weighting and data analysis. Results: The proportions of the study subjects who did regular exercise and never had leisure-time activity in 18-64 year-old labor force population in Beijing were 23.74% (95%CI: 21.51%-26.12%) and 64.34% (95%CI: 61.66%-66.94%) respectively; The average daily physical activity time was 23.44 min (95%CI: 21.16-25.71), and the total daily sedentary behavior time was 6.96 hours (95%CI: 6.80-7.13). With the increase of age, the proportions of the study subjects who did regular exercise and never had leisure-time activity increased (P=0.006, P<0.001). With the increase of educational level, the proportion of those who did regular exercise increased (P<0.001), and the proportion of those who never had leisure-time activity decreased (P<0.001); the higher the level of physical activity, the higher the regular exercise proportion (P<0.001); the proportions of employed people who did regular exercise was lower than those in unemployed people (P<0.001); the proportions of women never had leisure-time activity was higher than those in men (P=0.024). The results of multivariate analysis showed that older age and higher education level were positive factors for regular exercise (35- years old: OR=0.653, 95%CI: 0.530-0.804, P<0.001; 50-64 years old: OR=0.695, 95%CI: 0.560-0.864, P=0.001; high school/technical secondary school/technical School: OR=0.679, 95%CI: 0.593-0.777, P<0.001; college graduation: OR=0.478, 95%CI: 0.387-0.590, P<0.001; bachelor degree and above: OR=0.435, 95%CI: 0.347-0.546, P<0.001), while employment (OR=1.631, 95%CI: 1.330-2.000, P<0.001) and married/cohabitation (OR=1.340, 95%CI: 1.093-1.644, P=0.038) were negative factors for regular exercise. Conclusions: The rate of regular exercise in 18-64 year-old labor force population in Beijing needs to be improved. Older age and high educational level were positive factors for regular exercise, while being married and employed were negative factors for it.
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Affiliation(s)
- C Xie
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - A J Ma
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - J Xie
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - B Jiang
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - K Fang
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Y Q Wei
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
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Fang K, Ma AJ, Dong J, Jiang B, Xie J, Wei YQ, Xie C, Qi K, Zhao Y, Dong Z. [Investigation on knowledge, attitude and behavior of salt reduction in adults of Beijing in 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:340-345. [PMID: 35381656 DOI: 10.3760/cma.j.cn112150-20210422-00398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the knowledge, attitude and behavior of salt reduction in adults of Beijing in 2017. Methods: Based on the monitoring data of chronic diseases and corresponding risk factors in adults of Beijing in 2017, the indicators of salt reduction knowledge, attitude and behavior of 13 240 participants aged 18-79 years old were analyzed. The awareness rate, attitude support rate and behavior rate were calculated by complex weighting method, and compared among different age groups, genders, residential areas, and history of hypertension. The proportion of people taking various salt reduction measures to the total number of people was compared. Results: The awareness rate of recommended daily salt intake, the awareness of hypertension caused or aggravated by more salt intake, the attitude support rate and behavior rate of adults were 31.77%, 88.56%, 90.27% and 53.86%, respectively. After weighted adjustment, the awareness rate of recommended daily salt intake was 31.08%, which increased with age (χ2trend=431.56, P<0.001) and education level (χ2trend=95.44, P<0.001). The awareness rate of women was higher than that of men (χ²=118.89, P<0.001), and the awareness rate of population in urban areas was higher than that of population in suburban areas (χ²=34.09, P=0.001). The awareness rate of hypertension caused or aggravated by eating more salt was 86.73%. The support rate of salt reduction attitude was 90.45%. The rate of salt-reducing behavior was 54.05%. Among different salt reduction measures, reducing salt when cooking was the most common measure (52.41%), while the least common one (35.22%) was using low sodium salt. Logistic regression model analysis showed that the gender, age, education level, self-reported history of hypertension, awareness of salt recommendation, awareness of hypertension caused or aggravated by eating more salt, and salt reduction attitude were significantly associated with salt reduction behavior. Conclusion: In 2017, adults in Beijing have a basic understanding of the impact of high-salt diet on health and support salt reduction, but the rate of salt reduction behavior is still relatively low. There are obvious gender and age differences, and the salt reduction measure is simple. Targeted measures should be taken to promote the formation of salt reduction behavior.
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Affiliation(s)
- K Fang
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - A J Ma
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - J Dong
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - B Jiang
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - J Xie
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Q Wei
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - C Xie
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - K Qi
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Zhao
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Z Dong
- Institue for Non-communicable Chronic Disease Prevention and Control, Beijing Center for Disease Prevention and Control / Beijing Research Center for Preventive Medicine, Beijing 100013, China
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Wei YQ, Ma AJ, Fang K, Dong J, Xie J, Xie C, Qi K, Dong Z. [Analysis of the current status and related factors of oral nutritional supplements intake among 18-79 years old in Beijing in 2017]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:227-233. [PMID: 35184489 DOI: 10.3760/cma.j.cn112338-20210819-00661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To understand the current status of taking nutrient supplements for residents aged 18 to 79 years old in Beijing and its related factors. Methods: Data were gathered from the 2017 Beijing Non-communicable and Chronic Disease Surveillance Program. Multiple classified cluster sampling method was used, and participants aged 18-79 were sampled from 16 districts. The questionnaire included chronic diseases and related risk factors, health knowledge, and oral nutritional supplements within 12 months. Multivariate logistic regression models were established to analyze associated factors that affect the intake of nutrient supplements. Results: The weighted prevalence of supplements use was 13.1% among 12 696 subjects within the past 12 months. The proportions of multivitamins (4.7%), B vitamins (4.5%), and folic acid (3.2%) were higher. The prevalence of supplement use of young people (18-39 years old) and the elderly (60-79 years old) was higher than middle-aged people (40-59 years old) (χ2=54.09, P<0.001). Except for the age group of 70-79 years old, the consumption rate of women was significantly higher than that of men (P<0.05). After adjusting age and sex, among patients with hypertension, diabetes, or dyslipidemia, the control rates of blood pressure, glucose and lipids of patients who take nutrient supplements were higher than those who do not (P<0.05). And participants who took nutrient supplements had a more heightened awareness rate of health knowledge, such as the hazards of smoking and second-hand smoke, and recommended amount of salt per day (P<0.001). The multi-factor logistic analysis found that nutrient supplement-related factors include women, old age, higher education level, living in urban, insufficient physical activity, sleeping problems, active physical examination, blood pressure control among patients, and health knowledge (P<0.05). Conclusions: The factors of nutrient supplements use were related to sex, age, education level, health status, and health literacy. We should pay attention to key populations and guide them to establish the correct concept of taking nutrient supplements.
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Affiliation(s)
- Y Q Wei
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - A J Ma
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - K Fang
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - J Dong
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - J Xie
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - C Xie
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - K Qi
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
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Sun Y, Huang B, Cheng P, Li C, Chen Y, Li Y, Zheng L, Xing J, Dong Z, Yu G. Endophytic Bacillus subtilis TR21 Improves Banana Plant Resistance to Fusarium oxysporum f. sp. cubense and Promotes Root Growth by Upregulating the Jasmonate and Brassinosteroid Biosynthesis Pathways. Phytopathology 2022; 112:219-231. [PMID: 34231376 DOI: 10.1094/phyto-04-21-0159-r] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The banana (Musa spp.) industry experiences dramatic annual losses from Fusarium wilt of banana disease, which is caused by the fungus Fusarium oxysporum f. sp. cubense (FOC). Pisang Awak banana 'Fenza No. 1' (Musa spp. cultivar Fenza No. 1), a major banana cultivar with high resistance to F. oxysporum f. sp. cubense race 4, is considered to be ideal for growth in problematic areas. However, 'Fenza No. 1' is still affected by F. oxysporum f. sp. cubense race 1 in the field. TR21 is an endophytic Bacillus subtilis strain isolated from orchids (Dendrobium sp.). Axillary spraying of banana plants with TR21 controls Fusarium wilt of banana, decreasing the growth period and increasing yields in the field. In this study, we established that TR21 increases root growth in different monocotyledonous plant species. By axillary inoculation, TR21 induced a similar transcriptomic change as that induced by F. oxysporum f. sp. cubense race 1 but also upregulated the biosynthetic pathways for the phytohormones brassinosteroid and jasmonic acid in 'Fenza No. 1' root tissues, indicating that TR21 increases Fusarium wilt of banana resistance, shortens growth period, and increases yield of banana by inducing specific transcriptional reprogramming and modulating phytohormone levels. These findings will contribute to the identification of candidate genes related to plant resistance against fungi in a nonmodel system and facilitate further study and exploitation of endophytic biocontrol agents.
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Affiliation(s)
- Yunhao Sun
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
| | - Bingzhi Huang
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou 510000, People's Republic of China
| | - Ping Cheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
| | - Chunji Li
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
| | - Yanhong Chen
- Zhuhai Agricultural Sciences Research Center, Zhuhai 519075, People's Republic of China
| | - Yongjian Li
- Zhuhai Agricultural Sciences Research Center, Zhuhai 519075, People's Republic of China
| | - Li Zheng
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
| | - Juejun Xing
- Laboratory & Equipment Management Department, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
| | - Guohui Yu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, People's Republic of China
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Huang D, Zhang Z, Dong Z, Liu R, Huang J, Xu G. Caloric restriction and Roux-en-Y Gastric Bypass promote white adipose tissue browning in mice. J Endocrinol Invest 2022; 45:139-148. [PMID: 34232475 DOI: 10.1007/s40618-021-01626-0] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/24/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE Caloric restriction (CR) and Roux-en-Y Gastric Bypass (RYGB) are considered effective means of body weight control, but the mechanism by which CR and RYGB protect against high-fat diet (HFD)-induced obesity remains elusive. The browning of white adipose tissue (WAT) is a potential approach to combat obesity. Here we assess whether browning of WAT is involved in CR- and RYGB-treatment. METHODS The average size of adipocytes was determined by histological analysis. Expression of thermogenic genes in both human subjects and mice were measured by quantitative real-time PCR and immunohistochemical staining. RESULTS The average size of adipocytes was bigger, while the expression of thermogenic genes such as uncoupling protein 1 (UCP1), nuclear factor erythroid-2 like 1 (NRF1) and PPARγ coactivator-1 α (PGC1α) were lower in the WAT of obese subjects when compared to lean controls. Both CR and RYGB promoted weight and fat loss. Increment of the average adipocytes size and down-regulation of thermogenic genes were significantly reversed by both CR and RYGB in the WAT of obese mice. CONCLUSIONS Our findings showed that CR and RYGB significantly improved high-fat diet-induced lipid accumulation by promoting the browning of WAT.
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Affiliation(s)
- D Huang
- Department of Physiology, School of Medicine, Jinan University, 601 Huangpu Avenue West, Tianhe District, Guangzhou, 510632, Guangdong, China
| | - Z Zhang
- Department of Physiology, School of Medicine, Jinan University, 601 Huangpu Avenue West, Tianhe District, Guangzhou, 510632, Guangdong, China
| | - Z Dong
- Department of Obesity and Metabolic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - R Liu
- Department of Physiology, School of Medicine, Jinan University, 601 Huangpu Avenue West, Tianhe District, Guangzhou, 510632, Guangdong, China
| | - J Huang
- Department of Physiology, School of Medicine, Jinan University, 601 Huangpu Avenue West, Tianhe District, Guangzhou, 510632, Guangdong, China
| | - G Xu
- Department of Physiology, School of Medicine, Jinan University, 601 Huangpu Avenue West, Tianhe District, Guangzhou, 510632, Guangdong, China.
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Dong Z, Bürgler M, Hohermuth B, Vetsch D. Density-based turbulence damping at large-scale interface for Reynolds-averaged two-fluid models. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.116975] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Prenen H, Kyi C, Van Lancker G, Patel S, Mittag D, Weaver A, Bol K, Stalbovskaya V, Pulini J, Zhou G, Dong Z, Asatiani E, Hodi F. 136P Phase I dose escalation study of MCLA-145, a bispecific antibody targeting CD137 and PD-L1 in solid tumors. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.155] [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: 10/19/2022] Open
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Xi YE, Gao WJ, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li LM. [Gene-body mass index interaction on coronary heart disease in Chinese adult twins]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1573-1579. [PMID: 34814586 DOI: 10.3760/cma.j.cn112338-20201130-01362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the gene-body mass index (BMI) interaction on coronary heart disease (CHD) in the Chinese adult twins. Methods: A total of 20 340 same-sex twin pairs registered in the Chinese National Twin Registry (CNTR) were enrolled in this study. Classical twin structure equation model was used to estimate the gene-BMI interaction on CHD. Results: After adjusting for age, we found that genetic variance of CHD differed as the function of BMI in male twins, which indicated the presence of a gene-BMI interaction on CHD (P=0.008).The genetic moderating effect (βa) was -0.14 (95%CI: -0.22--0.04), indicating that for each logarithmic transformation value of BMI increase, genetic path parameters would decrease by 0.14, which would result in the decrease of genetic variance of CHD. And the heritability of CHD was 0.77 (95%CI: 0.65-0.86) among the male twins with lower BMI (<24.0 kg/m2), but 0.56 (95%CI: 0.33-0.74) among the male twins with high BMI (≥24.0 kg/m2). However, there was no evidence suggesting that BMI could moderate genetic variants of CHD in female. Conclusion: We found a significant gene-BMI interaction on CHD in the Chinese male adult twins in China, and the heritability of CHD was higher among the twins whose BMI was <24.0 kg/m2.
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Affiliation(s)
- Y E Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Diseases Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Gong J, Shen L, Luo S, Dong Z, Liu D, An S, Xu J, Yang J, Qi Y, Men J, Kong L, Yang Y, Xu T. 1377P Preliminary efficacy and safety results of KN026 (a HER2-targeted bispecific antibody) in combination with KN046 (an anti-PD-L1/CTLA-4 bispecific antibody) in patients (pts) with HER2-positive gastrointestinal tumors. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1486] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Manawasinghe IS, Phillips AJL, Xu J, Balasuriya A, Hyde KD, Stępień Ł, Harischandra DL, Karunarathna A, Yan J, Weerasinghe J, Luo M, Dong Z, Cheewangkoon R. Defining a species in fungal plant pathology: beyond the species level. FUNGAL DIVERS 2021. [DOI: 10.1007/s13225-021-00481-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Chen SJ, Gao WJ, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li LM. [Modification of physical activity on genetic effects of type 2 diabetes mellitus: a twin pairs cohort study in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1167-1173. [PMID: 34814526 DOI: 10.3760/cma.j.cn112338-20201023-01265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the modification effect of physical activity on the genetic effects of type 2 diabetes mellitus (T2DM). Methods: The univariate moderation model was fitted to calculate the modifying effect of physical activity on the genetic effects of T2DM based on the data of 12 107 pairs of same gender twins aged 30 years and older enrolled by the Chinese National Twin Registry in 11 provinces/cities in China. Results: After adjusting for age and gender, the heritability of T2DM was 0.56 (0.31-0.84). Qualified physical activity could attenuate the genetic effects of T2DM. The heritability of T2DM in twin pairs with qualified physical activity was 0.46 (0.06-0.88), which was lower than that in twin pairs without qualified physical activity during the same model [0.68(0.36-0.94)]. Conclusion: T2DM is a moderate genetic disease, physical activity can modify the genetic effects of T2DM.
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Affiliation(s)
- S J Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210008, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650037, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
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40
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Peng HX, Gao WJ, Lyu J, Yu CQ, Huang T, Sun DJY, Liao CX, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li LM. [A descriptive analysis on body mass index distribution in adult twin pairs in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1160-1166. [PMID: 34814525 DOI: 10.3760/cma.j.cn112338-20200916-01164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To describe the differences in body mass index (BMI) distribution in adult twins registered in Chinese National Twin Registry (CNTR), and provide evidence for the risk factor analysis and prevention and control of overweight or obesity. Methods: A total of 32 725 twin pairs aged 18 years and above who completed the questionnaire survey during 2010-2018 and had complete registered information in CNTR and normal body weight and length were included in the analysis on the population and region specific distributions of BMI of twin pairs and the difference in BMI in twin pairs. Results: The twin pairs included in the analysis were aged (34.6±12.4) years, the twin pairs of same gender accounted for 79.7%. The average BMI was 22.5 kg/m2. The overall prevalence of obesity and overweight was 4.9% and 23.7%, respectively. Participants who were men, 50-59 years old, married, had lower education level, and lived in northern China had higher overweight rate and obesity rate (P<0.001). The difference in overweight or obesity prevalence between monozygotic (MZ) twin pars and dizygotic (DZ) twin pairs was not significant, but firstborn twin pairs had slightly higher rates of overweight and obesity than later-born twin pairs (P<0.05). The analysis in same gender-twin pairs indicated that the difference in BMI was associated with age (trend test: P<0.001), and the difference was more obvious in DZ twin pair in MZ pair and this difference increased with age. The concordant rate of BMI was higher in MZ twin pairs than DZ twin pairs (P<0.05). Conclusion: The distribution of BMI of twin pairs varied with population and region and BMI varied with age due to its genetic nature.
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Affiliation(s)
- H X Peng
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Control and Prevention, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336,China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Control and Prevention, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W H Cao
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
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41
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Dong Z, Bürgler M, Hohermuth B, Vetsch D. WITHDRAWN: Density-based turbulence damping at large-scale interface for Reynolds-averaged two-fluid models. Chemical Engineering Science: X 2021. [DOI: 10.1016/j.cesx.2021.100108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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42
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Dong Y, Xiong L, Phinney IY, Sun Z, Jing R, McLeod AS, Zhang S, Liu S, Ruta FL, Gao H, Dong Z, Pan R, Edgar JH, Jarillo-Herrero P, Levitov LS, Millis AJ, Fogler MM, Bandurin DA, Basov DN. Fizeau drag in graphene plasmonics. Nature 2021; 594:513-516. [PMID: 34163054 DOI: 10.1038/s41586-021-03640-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 05/12/2021] [Indexed: 11/09/2022]
Abstract
Dragging of light by moving media was predicted by Fresnel1 and verified by Fizeau's celebrated experiments2 with flowing water. This momentous discovery is among the experimental cornerstones of Einstein's special relativity theory and is well understood3,4 in the context of relativistic kinematics. By contrast, experiments on dragging photons by an electron flow in solids are riddled with inconsistencies and have so far eluded agreement with the theory5-7. Here we report on the electron flow dragging surface plasmon polaritons8,9 (SPPs): hybrid quasiparticles of infrared photons and electrons in graphene. The drag is visualized directly through infrared nano-imaging of propagating plasmonic waves in the presence of a high-density current. The polaritons in graphene shorten their wavelength when propagating against the drifting carriers. Unlike the Fizeau effect for light, the SPP drag by electrical currents defies explanation by simple kinematics and is linked to the nonlinear electrodynamics of Dirac electrons in graphene. The observed plasmonic Fizeau drag enables breaking of time-reversal symmetry and reciprocity10 at infrared frequencies without resorting to magnetic fields11,12 or chiral optical pumping13,14. The Fizeau drag also provides a tool with which to study interactions and nonequilibrium effects in electron liquids.
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Affiliation(s)
- Y Dong
- Department of Physics, Columbia University, New York, NY, USA.,Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA
| | - L Xiong
- Department of Physics, Columbia University, New York, NY, USA
| | - I Y Phinney
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Z Sun
- Department of Physics, Columbia University, New York, NY, USA
| | - R Jing
- Department of Physics, Columbia University, New York, NY, USA
| | - A S McLeod
- Department of Physics, Columbia University, New York, NY, USA
| | - S Zhang
- Department of Physics, Columbia University, New York, NY, USA
| | - S Liu
- The Tim Taylor Department of Chemical Engineering, Kansas State University, Manhattan, KS, USA
| | - F L Ruta
- Department of Physics, Columbia University, New York, NY, USA.,Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA
| | - H Gao
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Z Dong
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - R Pan
- Department of Physics, Columbia University, New York, NY, USA
| | - J H Edgar
- The Tim Taylor Department of Chemical Engineering, Kansas State University, Manhattan, KS, USA
| | - P Jarillo-Herrero
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - L S Levitov
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - A J Millis
- Department of Physics, Columbia University, New York, NY, USA
| | - M M Fogler
- Department of Physics, University of California San Diego, La Jolla, CA, USA
| | - D A Bandurin
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - D N Basov
- Department of Physics, Columbia University, New York, NY, USA.
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43
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Qi FJ, Dong Z, Zhang XM, Yi RK, Xie LY, Teng HJ, Lin JH, Jia C. Role and mechanism of mirna-214-5p in myocardial injury in hypertensive rats. J BIOL REG HOMEOS AG 2021; 35:215-220. [PMID: 33504148 DOI: 10.23812/20-496-l] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- F J Qi
- The second ward of cardiovascular medicine, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
| | - Z Dong
- The second ward of cardiovascular medicine, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
| | - X M Zhang
- The second ward of cardiovascular medicine, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
| | - R K Yi
- The first ward of cardiovascular medicine, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
| | - L Y Xie
- The second ward of cardiovascular medicine, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
| | - H J Teng
- The second ward of cardiovascular medicine, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
| | - J H Lin
- The second ward of cardiovascular medicine, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
| | - C Jia
- Department of Dialysis, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China
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Shu Y, Luo M, Dong Z. Whole Genome Sequence Resource for Fusarium oxysporum f. sp. capsici 14003, the Causative Agent of Pepper Wilt. Plant Dis 2021; 105:1183-1186. [PMID: 33245260 DOI: 10.1094/pdis-10-20-2294-a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Pepper wilt, caused by the fungal pathogen Fusarium oxysporum f. sp. capsici, is one of the main diseases on pepper. In this study, we obtained the whole genome sequence of the highly virulent F. oxysporum f. sp. capsici strain 14003 sequenced using the Illumina HiSeq 2000 platform. In total, 3.87 million paired-end reads were obtained and assembled into 796 scaffolds with a genome-wide length of 47.6 Mb. In addition, we filtered genes that may be related to specific virulence factors and performed a comparative analysis between the genome of strain 14003 and the sequenced genomes of 36 isolates. The genome-sequencing results for strain 14003 will enhance the theoretical basis for pepper wilt prevention and control.
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Affiliation(s)
- Yongxin Shu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Mei Luo
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
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45
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Dong Z, Bian L, Wang YL, Sun LM. Gastrodin protects against high glucose-induced cardiomyocyte toxicity via GSK-3β-mediated nuclear translocation of Nrf2. Hum Exp Toxicol 2021; 40:1584-1597. [PMID: 33764184 DOI: 10.1177/09603271211002885] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Diabetic cardiomyopathy (DCM) is one of the major complications of diabetes that causes mortality and morbidity in diabetic patients. Gastrodin (GSTD) is a bioactive phenolic glucoside component of an ancient Chinese herb Tianma (Gastrodia elata Bl.), which is widely used for cardiovascular and cerebrovascular diseases by ancient Chinese. Up to now, whether GSTD has a beneficial effect on DCM is unclear. Therefore, this study aimed to investigate the effect of GSTD on high glucose-induced injury in H9c2 rat cardiomyocytes and HL-1 mouse cardiomyocytes, and its underlying mechanisms. High glucose (33 mM) treatment caused cardiomyocyte toxicity, oxidative stress and apoptosis in both H9c2 and HL-1 cells. Under both normal (5.5 mM glucose) and high glucose conditions, GSTD showed protective effect against high glucose-induced cytotoxicity and promoted the nuclear translocation of Nrf2 in a concentration and time-dependent manner in H9c2 and HL-1 cells. Knockdown of Nrf2 expression using siRNA specifically targeting Nrf2 attenuated the protective effect of GSTD. Furthermore, GSTD promoted the nuclear translocation of Nrf2 via activating glycogen synthase kinse-3β (GSK-3β) signaling pathway. 4-benzyl, 2-methyl, 1, 2, 4-thiadiazolidine, 3, 5 dione (TDZD-8), an inhibitor of GSK-3β, inhibited the nuclear translocation of Nrf2 induced by GSTD, and attenuated the protective effect of GSTD as Nrf2 knockdown did. In summary, GSTD could protect against high glucose-induced cardiomyocyte toxicity via GSK-3β-mediated nuclear translocation of Nrf2.
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Affiliation(s)
- Z Dong
- Department of Vasculocardiology, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu, People's Republic of China
| | - L Bian
- Department of Vasculocardiology, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu, People's Republic of China
| | - Y-L Wang
- Department of Vasculocardiology, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu, People's Republic of China
| | - L-M Sun
- Department of Vasculocardiology, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu, People's Republic of China
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Ma AJ, Zhou MG, Zeng XY, Dong Z. [The current status and trend of disease burden of neoplasms in 1990 and 2016 for Beijing people]. Zhonghua Zhong Liu Za Zhi 2021; 43:351-356. [PMID: 33752317 DOI: 10.3760/cma.j.cn112152-20190416-00239] [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: 11/05/2022]
Abstract
Objective: To investigate the current status and trend of disease burden of neoplasms in 1990 and 2016 for Beijing people. Methods: The incidence situation, deaths status and disease burden of neoplasms in Beijing were described by using the results of the global burden of diseases study 2016 (GBD 2016). The measurement index included incidence, death, years of life lost due to premature mortality (YLL), years lived with disability (YLD), and disability-adjusted years (DALY). Using the average world population from 2000 to 2025 as standard population to calculate the age-standardized incidence rate, mortality rate, DALY rate, YLL rate and YLD rate. Results: The age-standardized incidence rate of neoplasms in 2016 was 250.68 per 100 000, which increased by 30.03% than in 1990. The age-standardized mortality rate was 115.83 per 100 000, which decreased by 26.71% than in 1990. The DALY, YLL and YLD of neoplasms in 2016 were 671.2, 651.1 and 20.1 thousand person-years, respectively, which increased by 85.83%, 82.79% and 302.00% than those in 1990. The age-standardized DALY rate and YLL rate were 2 549.00 and 2 469.84 per 100 000, which decreased by 33.22% and 34.30% than those in 1990. The age-standardized YLD rate was 79.16 per 100 000, which increased by 37.17% than that in 1990. The male DALY, YLL and YLD in 2016 were 428.8, 417.8 and 11.0 thousand person-years, and female were 242.4, 233.3 and 9.1 thousand person-years, respectively.Among different neoplasms, the top three neoplasms of DALY and YLL were lung cancer, liver cancer, colon and rectum cancer, the top three of YLD were lung cancer, colon and rectum cancer, breast cancer. The topped group of disease burden of neoplasms was aged from 50 to 69 years old, the DALY of which was 323.6 thousand person-years, accounted for 48.21% of all DALY, and increased by 87.70% than that in 1990. Conclusions: The disease burden of neoplasms in Beijing is dominated by YLL, and the YLD increases rapidly. The burden is severe in the group of aged from 50 to 69 years old, and the male is severer than female. Lung cancer ranks the first of the disease burden of neoplasms. The DALY of colorectal cancer has increased. Comprehensive strategies should be promoted, including cultivating a good lifestyle and implementing prevention and control of neoplasm risk factors as early as teenage group, early screening of high-risk population, and enhancing the instruction of patients' treatment and rehabilitation.
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Affiliation(s)
- A J Ma
- Institute for Prevention and Control of Chronic Disease, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - M G Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X Y Zeng
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z Dong
- Institute for Prevention and Control of Chronic Disease, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
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Sun R, Yuan X, Li J, Tao X, Dong Z, Shao T. Contributions of epiphytic microbiota on the fermentation characteristics and microbial composition of ensiled six whole crop corn varieties. J Appl Microbiol 2021; 131:1683-1694. [PMID: 33710709 DOI: 10.1111/jam.15064] [Citation(s) in RCA: 6] [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: 12/26/2020] [Revised: 03/03/2021] [Accepted: 03/08/2021] [Indexed: 11/26/2022]
Abstract
AIMS The present study is aimed to reveal the variations in epiphytic microbial composition among six whole crop corn (WCC) varieties and their contributions on ensiling characteristics and microbial composition of WCC silage. METHODS AND RESULTS Six WCC varieties (JS06, YS23, BS20, JS39, JS40 and JS26) were ensiled for 90 days. All WCC varieties were well fermented with low pH value (<4·0) and high LA (73·6-124 g kg-1 DM, dry matter) concentration. Of six varieties, JS40 had the highest LA (124 g kg-1 DM) concentration, which was supported by highest relative abundance of Lactobacillus. Pantoea was the most dominant epiphytic bacteria in all fresh WCC varieties; however, the secondary dominant genera among six WCC were absolutely difference. Lactobacillus became predominant genus in 90-day silages except YS23. YS23 kept the more bacterial genus from fresh to 90-day silages than other silages, meanwhile Acinetobacter and Enterobacter were the dominant bacteria in YS23 silages. CONCLUSIONS Among six WCC varieties, JS40 silage had the highest LA. The variations in epiphytic microbiomes among fresh WCC affected terminal microbial community of 90-day silages. There were differences in fermentation characteristics among six WCC varieties, which might be partly attributed to variations in epiphytic microbiomes among fresh WCC. SIGNIFICANCE AND IMPACT OF THE STUDY The study not only enriches the research on microbial communities of plant phyllosphere but also provides theoretical basis for selecting WCC varieties and inoculants for the forage production.
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Affiliation(s)
- R Sun
- Institute of Ensiling and Processing of Grass, College of Agro-Grassland Science, Nanjing Agricultural University, Nanjing, China
| | - X Yuan
- Institute of Ensiling and Processing of Grass, College of Agro-Grassland Science, Nanjing Agricultural University, Nanjing, China
| | - J Li
- Institute of Ensiling and Processing of Grass, College of Agro-Grassland Science, Nanjing Agricultural University, Nanjing, China
| | - X Tao
- Institute of Ensiling and Processing of Grass, College of Agro-Grassland Science, Nanjing Agricultural University, Nanjing, China
| | - Z Dong
- Institute of Ensiling and Processing of Grass, College of Agro-Grassland Science, Nanjing Agricultural University, Nanjing, China
| | - T Shao
- Institute of Ensiling and Processing of Grass, College of Agro-Grassland Science, Nanjing Agricultural University, Nanjing, China
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Bai X, Guo Z, Long L, Zhang Y, Dong Z. OA07.04 LKB1 Deficiency Leads to an “Adenosine-Rich” Tumor Microenvironment by Recruiting and Regulating Myeloid Derived Suppressive Cells. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.296] [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: 10/21/2022]
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49
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Dong Z, Manawasinghe IS, Huang Y, Shu Y, Phillips AJL, Dissanayake AJ, Hyde KD, Xiang M, Luo M. Endophytic Diaporthe Associated With Citrus grandis cv. Tomentosa in China. Front Microbiol 2021; 11:609387. [PMID: 33633693 PMCID: PMC7900006 DOI: 10.3389/fmicb.2020.609387] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 09/23/2020] [Accepted: 12/29/2020] [Indexed: 11/26/2022] Open
Abstract
Diaporthe species are associated with Citrus as endophytes, pathogens, and saprobes worldwide. However, little is known about Diaporthe as endophytes in Citrus grandis in China. In this study, 24 endophytic Diaporthe isolates were obtained from cultivated C. grandis cv. "Tomentosa" in Huazhou, Guangdong Province in 2019. The nuclear ribosomal internal transcribed spacer (ITS), partial sequences of translation elongation factor 1-α (tef1), β-tubulin (tub2), and partial calmodulin (cal) gene regions were sequenced and employed to construct phylogenetic trees. Based on morphology and combined multigene phylogeny, eleven Diaporthe species were identified including two new species, Diaporthe endocitricola and D. guangdongensis. These are the first report of D. apiculata, D. aquatica, D. arecae, D. biconispora, D. limonicola, D. masirevicii, D. passifloricola, D. perseae, and D. sennae on C. grandis. This study provides the first intensive study of endophytic Diaporthe species on C. grandis cv. tomentosa in China. These results will improve the current knowledge of Diaporthe species associated with C. grandis. The results obtained in this study will also help to understand the potential pathogens and biocontrol agents and to develop a platform in disease management.
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Affiliation(s)
- Zhangyong Dong
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Ishara S. Manawasinghe
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Center of Excellence in Fungal Research, Mae Fah Luang University, Mueang Chiang Rai, Thailand
| | - Yinghua Huang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yongxin Shu
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Alan J. L. Phillips
- Faculdade de Ciências, Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Lisbon, Portugal
| | - Asha J. Dissanayake
- School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Kevin D. Hyde
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Center of Excellence in Fungal Research, Mae Fah Luang University, Mueang Chiang Rai, Thailand
| | - Meimei Xiang
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Mei Luo
- Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China
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Xu Y, Ling SG, Dong Z, Ke X, Lu LN, Zou HD. [Development and application of a fundus image quality assessment system based on computer vision technology]. Zhonghua Yan Ke Za Zhi 2020; 56:920-927. [PMID: 33342118 DOI: 10.3760/cma.j.cn112142-20200409-00257] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To develop a fundus image quality assessment system based on computer vision technology and to verify its accuracy by comparing the results of artificial discrimination and using this system. Methods: The process of image evaluation was divided into four modules: fundus image preprocessing, fundus image quality evaluation, fundus image content detection and evaluation result output. The system was designed to automatically evaluate the image quality of each fundus image, identify the optic disc and macula, and judge whether the image was qualified or not according to the image quality discrimination rules. A total of 2 397 fundus images of 787 type 2 diabetes patients were selected as the test data set. The average age of the patients, including 384 males and 403 females, was (69.65±19.09) years old. The images were taken by the staff of community health service centers in Shanghai with a fundus camera. The fundus image quality assessment system was used to conduct quality control and classification of the data set. At the same time, 12 professional fundus picture readers were employed to conduct manual quality control and classification of this data set. The system quality control results and artificial quality discrimination results were compared and analyzed. Results: The fundus image quality assessment system automatically recognized left and right eyes and eye positions on the input fundus images. The quality control interface included four indicator lights, which respectively corresponded to the images with the optic disc or macula as the center of the left or right eye. Evaluation of each fundus image was completed within 1 second, and the results were automatically displayed on the user interface. The 2 397 fundus photos were identified manually as 1 846 qualified photos and 551 unqualified photos. Among the unqualified images, 62 (11.27%) were too dark, 51 (9.27%) were too bright, 59 (10.73%) were not clear in the macular area, 36 (6.54%) showed no macula or optic disc, 125 (22.73%) could not present the fundus structure, 175 (31.82%) were blurred, and 42 (7.64%) were blocked. The results of the system and manual assessment were consistent in 1 788 qualified images (96.86%) and 550 unqualified images (99.82%), with an overall consistency rate of 97.54%. Conclusion: The fundus image quality assessment system can achieve highly consistent results with the professional judgment of ophthalmologists and has the characteristics of objectivity. (Chin J Ophthalmol, 2020, 56:920-927).
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Affiliation(s)
- Y Xu
- Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China
| | - S G Ling
- Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China
| | - Z Dong
- Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China
| | - X Ke
- Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China
| | - L N Lu
- Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China
| | - H D Zou
- Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China
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