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Zhao JX, Wang GD, Guan LN, Mu YM. Establishment of nonobstructive coronary microcirculatory disorders in rabbits using three established methods and a comparative study. Biochem Biophys Res Commun 2024; 700:149535. [PMID: 38308909 DOI: 10.1016/j.bbrc.2024.149535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/28/2023] [Accepted: 01/13/2024] [Indexed: 02/05/2024]
Abstract
To compare the merits and drawbacks of three approaches for establishing a rabbit model of nonobstructive coronary microcirculatory disease, namely, open thoracic subtotal ligation of coronary arteries, ultrasound-guided cardiac microsphere injection, and sodium laurate injection. New Zealand rabbits were allocated to four groups: a normal group (Blank group), an Open-chest group (Open-chest), a microsphere group (Echo-M), and a sodium laurate group (Echo-SL), each comprising 10 rabbits. The rabbits were sacrificed 24 h after the procedures, and their echocardiography, stress myocardial contrast echocardiography, pathology, and surgical times were compared. The results demonstrated varying degrees of reduced cardiac function in all three experimental groups, the Open-chest group exhibiting the most significant decline. The myocardial filling in the affected areas was visually analyzed by myocardial contrast echocardiography, revealing sparse filling at rest but more after stress. Quantitative analysis of perfusion parameters (β, A, MBF) in the affected myocardium showed reduced values, the Open-chest group having the most severe reductions. No differences were observed in stress myocardial acoustic imaging parameters between the Echo-M and Echo-SL groups. Among the pathological presentations, the Open-chest model predominantly exhibited localized ischemia, while the Echo-M model was characterized by mechanical physical embolism, and the Echo-SL model displayed in situ thrombosis as the primary pathological feature. Inflammatory responses and collagen deposition were observed in all groups, with the severity ranking of Open-chest > Echo-SL > Echo-M. The ultrasound-guided intracardiac injection method used in this experiment outperformed open-chest surgery in terms of procedural efficiency, invasiveness, and maneuverability. This study not only optimizes established cardiac injection techniques but also offers valuable evidence to support clinical investigations through a comparison of various modeling methods.
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Affiliation(s)
- Jia-Xin Zhao
- Department of Echocardiography, The First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan South Road, Urumqi, 830000, China; Xinjiang Key Laboratory of Ultrasound Medicine, No. 137, Liyushan South Road, Urumqi, 830000, China.
| | - Guo-Dong Wang
- Department of Echocardiography, The First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan South Road, Urumqi, 830000, China; Xinjiang Key Laboratory of Ultrasound Medicine, No. 137, Liyushan South Road, Urumqi, 830000, China.
| | - Li-Na Guan
- Department of Echocardiography, The First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan South Road, Urumqi, 830000, China; Xinjiang Key Laboratory of Ultrasound Medicine, No. 137, Liyushan South Road, Urumqi, 830000, China.
| | - Yu-Ming Mu
- Department of Echocardiography, The First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan South Road, Urumqi, 830000, China; Xinjiang Key Laboratory of Ultrasound Medicine, No. 137, Liyushan South Road, Urumqi, 830000, China.
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2
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Zhang T, Wang MY, Wang GD, Lv QY, Huang YQ, Zhang P, Wang W, Zhang Y, Bai YP, Guo LQ. Metformin improves nonalcoholic fatty liver disease in db/db mice by inhibiting ferroptosis. Eur J Pharmacol 2024; 966:176341. [PMID: 38244761 DOI: 10.1016/j.ejphar.2024.176341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/28/2023] [Accepted: 01/17/2024] [Indexed: 01/22/2024]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the primary complication of type 2 diabetes (T2DM)-related liver disease, lacking effective treatment options. Metformin (Met), a widely prescribed anti-hyperglycemic medication, has been found to protect against NAFLD. Ferroptosis, a newly discovered form of cell death, is associated with the development of NAFLD. Despite this association, the extent of Met's protective effects on NAFLD through the modulation of ferroptosis has yet to be thoroughly investigated. In the present study, the administration of erastin or Ras-selective lethal 3 (RSL3), both known ferroptosis inducers, resulted in elevated cell mortality and reduced cell viability in AML12 hepatocytes. Notably, Met treatment demonstrated the capacity to mitigate these effects. Furthermore, we observed increased ferroptosis levels in both AML12 hepatocytes treated with palmitate and oleate (PA/OA) and in the liver tissue of db/db mice. Met treatment demonstrated significant reductions in iron accumulation and lipid-related reactive oxygen species production, simultaneously elevating the glutathione/glutathione disulfide ratio in both PA/OA-treated AML12 hepatocytes and the liver tissue of db/db mice. Interestingly, the anti-ferroptosis effects of Met were significantly reversed with the administration of RSL3, both in vitro and in vivo. Mechanistically, Met treatment regulated the glutathione peroxidase 4/solute carrier family 7 member 11/acyl-CoA synthetase long-chain family member 4 axis to alleviate ferroptosis in NAFLD hepatocytes. Overall, our findings highlight the crucial role of ferroptosis in the development of T2DM-related NAFLD and underscore the potential of Met in modulating key factors associated with ferroptosis in the context of NAFLD.
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Affiliation(s)
- Teng Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, 241001, China.
| | - Meng-Yan Wang
- School of Pharmacy, Anhui Innovative Center for Drug Basic Research of Metabolic Diseases, Wannan Medical College, Wuhu, 241002, China.
| | - Guo-Dong Wang
- School of Pharmacy, Anhui Innovative Center for Drug Basic Research of Metabolic Diseases, Wannan Medical College, Wuhu, 241002, China.
| | - Qiu-Yue Lv
- School of Pharmacy, Anhui Innovative Center for Drug Basic Research of Metabolic Diseases, Wannan Medical College, Wuhu, 241002, China.
| | - Yu-Qian Huang
- School of Pharmacy, Anhui Innovative Center for Drug Basic Research of Metabolic Diseases, Wannan Medical College, Wuhu, 241002, China.
| | - Peng Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, 241001, China.
| | - Wen Wang
- Department of Gastroenterology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, 241001, China.
| | - Yan Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, 241001, China.
| | - Ya-Ping Bai
- Anhui Provincial Key Laboratory of Molecular Enzymology and Mechanism of Major Diseases, College of Life Sciences, Anhui Normal University, Wuhu, 241000, China.
| | - Li-Qun Guo
- School of Pharmacy, Anhui Innovative Center for Drug Basic Research of Metabolic Diseases, Wannan Medical College, Wuhu, 241002, China.
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Zeng M, Zhou T, Li Z, Li G, Zhang S, Wang L, Huang QG, Li JD, Samarawickrama PN, He Y, Wang GD. Transcriptomic and intervention evidence reveals domestic dogs as a promising model for anti-inflammatory investigation. Aging Cell 2024:e14127. [PMID: 38426629 DOI: 10.1111/acel.14127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 03/02/2024] Open
Abstract
Domestic dogs have great potential to expand our understanding of the determinants of aging. To understand the aging pattern of domestic dogs and evaluate whether they can be used as an aging model, we performed RNA sequencing on white blood cells from domestic dogs aged 1-9 years and treated aged dogs with classical antiaging approaches. We obtained 30 RNA sequencing libraries and identified 61 age-associated genes with dynamic changes, the majority of which were related to metabolism and immune function, which may be predominant biomarkers for aging in dogs. We next treated aged dogs with canine mesenchymal stem cells (cMSCs), nicotinamide mononucleotide, and rapamycin to determine whether and how they responded to the antiaging interventions. The results showed that these treatments can significantly reduce the level of inflammatory factors (IL-6 and TNF-α). MSCs effectively improved the heart functions of aged dogs. Three key potential age-related genes (PYCR1, CCRL2, and TOX) were reversed by MSC treatment, two of which (CCRL2 and TOX) are implicated in immunity. Overall, we profiled the transcriptomic pattern of domestic dogs and revealed that they may be a good model of aging, especially in anti-inflammatory investigations.
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Affiliation(s)
- Min Zeng
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Tong Zhou
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zhiyu Li
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, China
| | - Guimei Li
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Shurun Zhang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Lu Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, China
| | - Qing-Guo Huang
- Kunming Police Dog Base of the Chinese Ministry of Public Security, Kunming, China
| | - Ju-Dong Li
- Kunming Police Dog Base of the Chinese Ministry of Public Security, Kunming, China
| | - P Nadeeshika Samarawickrama
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Key Laboratory of Healthy Aging Research of Yunnan Province, Chinese Academy of Sciences, Kunming, China
| | - Yonghan He
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Key Laboratory of Healthy Aging Research of Yunnan Province, Chinese Academy of Sciences, Kunming, China
| | - Guo-Dong Wang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Chinese Academy of Sciences, Kunming, China
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Zhang LY, Liu X, Wu YC, Wang GD. New-onset seizure and acute encephalopathy. Pract Neurol 2024:pn-2023-003994. [PMID: 38378268 DOI: 10.1136/pn-2023-003994] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/09/2024] [Indexed: 02/22/2024]
Affiliation(s)
- Lin-Yuan Zhang
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Liu
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guo-Dong Wang
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhou BW, Wu QQ, Mauki DH, Wang X, Zhang SR, Yin TT, Chen FL, Li C, Liu YH, Wang GD, Zhang YP. Germline gene fusions across species reveal the chromosomal instability regions and cancer susceptibility. iScience 2023; 26:108431. [PMID: 38205119 PMCID: PMC10777377 DOI: 10.1016/j.isci.2023.108431] [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: 02/01/2023] [Revised: 06/24/2023] [Accepted: 11/08/2023] [Indexed: 01/12/2024] Open
Abstract
The canine transmissible venereal tumor (CTVT) is a clonal cell-mediated cancer with a long evolutionary history and extensive karyotype rearrangements in its genome. However, little is known about its genetic similarity to human tumors. Here, using multi-omics data we identified 11 germline gene fusions (GGFs) in CTVT, which showed higher genetic susceptibility than others. Additionally, we illustrate a mechanism of a complex gene fusion of three gene segments (HSD17B4-DMXL1-TNFAIP8) that we refer to "greedy fusion". Our findings also provided evidence that expressions of GGFs are downregulated during the tumor regressive phase, which is associated with DNA methylation level. This study presents a comprehensive landscape of gene fusions (GFs) in CTVT, which offers a valuable genetic resource for exploring potential genetic mechanisms underlying the development of cancers in both dogs and humans.
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Affiliation(s)
- Bo-Wen Zhou
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Qing-Qin Wu
- School of Ecology and Environmental Sciences, Yunnan University, Kunming, Yunnan 650500, China
| | - David H. Mauki
- Institute of Neurological Disease, National-Local Joint Engineering Research Center of Translational Medicine, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xuan Wang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Shu-Run Zhang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Ting-Ting Yin
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Fang-Liang Chen
- Kunming Police Dog Base of the Ministry of Public Security, Kunming, Yunnan 650204, China
| | - Chao Li
- State Key Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, Yunnan 650500, China
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
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6
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Zhou YF, Deng H, Wang GD, Chen S, Xing A, Wang Y, Zhao H, Gao J, Wu S. Cost-effectiveness of drug treatment for young and middle-aged stage 1 hypertensive patients with high risk. J Glob Health 2023; 13:04147. [PMID: 37997845 PMCID: PMC10668205 DOI: 10.7189/jogh.13.04147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023] Open
Abstract
Background Drug treatment was recommended for stage 1 hypertensive patients (blood pressure of 130-139 / 80-89 millimetres of mercury (mmHg)) with high cardiovascular disease (CVD) risk in the 2017 Hypertension Clinical Practice Guidelines, 2018 Chinese guidelines and 2021 World Health Organization guidelines, but not in other guidelines. However, evidence on the cost-effectiveness of drug treatment among young and middle-aged patients remains scarce. This study aimed to compare the cost-effectiveness of drug treatment vs. non-drug treatment for stage 1 hypertensive patients aged <60 years with high CVD risk. Methods A microsimulation model projected quality-adjusted life years (QALYs), health care costs, and incremental cost-effectiveness ratios for drug treatment from a societal perspective. Transition probabilities were estimated from the Kailuan study with a sample size of 34 093 patients aged <60 years with high CVD risk. Costs and health utilities were obtained from the Kailuan study, national statistics reports and published literature. Results Over a 15-year time horizon, the model predicted that drug treatment generated QALY of 9.36 and was associated with expected costs of 3735 US dollars ($) compared with 9.07 and $3923 produced by non-drug treatment among stage 1 hypertensive patients, resulting in a cost-saving for drug treatment. At a willingness-to-pay threshold of $10439/QALY (one gross domestic product (GDP) per capita in 2020), drug treatment had a 99.99% probability of being cost-effective for 10 000 samples of probabilistic sensitivity analysis. Sensitivity analyses by different values of transition probability, cost, utility and discount rate did not appreciably change the results. Shortening the time horizon to the average follow-up period of eight years resulted in ICER of $189/QALY for drug treatment (<1 × GDP/QALY). Conclusions Our results suggested that drug treatment was a dominant strategy for stage 1 hypertensive patients aged <60 years with high CVD risk in China, which may provide evidence for policymakers and clinicians when weighing the pros and cons of drug treatment for young and middle-aged stage 1 hypertensive patients.
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Affiliation(s)
- Yan-Feng Zhou
- Department of Social Medicine, School of Public Health, Guangxi Medical University, Nanning, China
| | - Hua Deng
- Department of Nephrology, The First People's Hospital of Chenzhou, Chenzhou, China
| | - Guo-Dong Wang
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Aijun Xing
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Yanxiu Wang
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Haiyan Zhao
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Jingli Gao
- Department of Intensive Care Unit, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
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Meadows JRS, Kidd JM, Wang GD, Parker HG, Schall PZ, Bianchi M, Christmas MJ, Bougiouri K, Buckley RM, Hitte C, Nguyen AK, Wang C, Jagannathan V, Niskanen JE, Frantz LAF, Arumilli M, Hundi S, Lindblad-Toh K, Ginja C, Agustina KK, André C, Boyko AR, Davis BW, Drögemüller M, Feng XY, Gkagkavouzis K, Iliopoulos G, Harris AC, Hytönen MK, Kalthof DC, Liu YH, Lymberakis P, Poulakakis N, Pires AE, Racimo F, Ramos-Almodovar F, Savolainen P, Venetsani S, Tammen I, Triantafyllidis A, vonHoldt B, Wayne RK, Larson G, Nicholas FW, Lohi H, Leeb T, Zhang YP, Ostrander EA. Author Correction: Genome sequencing of 2000 canids by the Dog10K consortium advances the understanding of demography, genome function and architecture. Genome Biol 2023; 24:255. [PMID: 37936157 PMCID: PMC10631033 DOI: 10.1186/s13059-023-03101-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023] Open
Affiliation(s)
- Jennifer R S Meadows
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden.
| | - Jefrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA.
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Heidi G Parker
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Peter Z Schall
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA
| | - Matteo Bianchi
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Matthew J Christmas
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Katia Bougiouri
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Reuben M Buckley
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Christophe Hitte
- University of Rennes, CNRS, Institute Genetics and Development Rennes - UMR6290, 35000, Rennes, France
| | - Anthony K Nguyen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA
| | - Chao Wang
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Julia E Niskanen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Laurent A F Frantz
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, E14NS, UK and Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, D-80539, Munich, Germany
| | - Meharji Arumilli
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Sruthi Hundi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Kerstin Lindblad-Toh
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Catarina Ginja
- BIOPOLIS-CIBIO-InBIO-Centro de Investigação Em Biodiversidade E Recursos Genéticos - ArchGen Group, Universidade Do Porto, 4485-661, Vairão, Portugal
| | | | - Catherine André
- University of Rennes, CNRS, Institute Genetics and Development Rennes - UMR6290, 35000, Rennes, France
| | - Adam R Boyko
- Department of Biomedical Sciences, Cornell University, 930 Campus Road, Ithaca, NY, 14853, USA
| | - Brian W Davis
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Michaela Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Xin-Yao Feng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Konstantinos Gkagkavouzis
- Department of Genetics, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Macedonia 54124, Greece and Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI-AUTH, Balkan Center, Thessaloniki, Greece
| | - Giorgos Iliopoulos
- NGO "Callisto", Wildlife and Nature Conservation Society, 54621, Thessaloniki, Greece
| | - Alexander C Harris
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Daniela C Kalthof
- NGO "Callisto", Wildlife and Nature Conservation Society, 54621, Thessaloniki, Greece
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Petros Lymberakis
- Natural History Museum of Crete & Department of Biology, University of Crete, 71202, Irakleio, Greece
- Biology Department, School of Sciences and Engineering, University of Crete, Heraklion, Greece
- Palaeogenomics and Evolutionary Genetics Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Nikolaos Poulakakis
- Natural History Museum of Crete & Department of Biology, University of Crete, 71202, Irakleio, Greece
- Biology Department, School of Sciences and Engineering, University of Crete, Heraklion, Greece
- Palaeogenomics and Evolutionary Genetics Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Ana Elisabete Pires
- BIOPOLIS-CIBIO-InBIO-Centro de Investigação Em Biodiversidade E Recursos Genéticos - ArchGen Group, Universidade Do Porto, 4485-661, Vairão, Portugal
| | - Fernando Racimo
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | | | - Peter Savolainen
- Department of Gene Technology, Science for Life Laboratory, KTH - Royal Institute of Technology, 17121, Solna, Sweden
| | - Semina Venetsani
- Department of Genetics, School of Biology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Macedonia, Greece
| | - Imke Tammen
- Sydney School of Veterinary Science, The University of Sydney, Sydney, NSW, 2570, Australia
| | - Alexandros Triantafyllidis
- Department of Genetics, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Macedonia 54124, Greece and Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI-AUTH, Balkan Center, Thessaloniki, Greece
| | - Bridgett vonHoldt
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-7246, USA
| | - Greger Larson
- Palaeogenomics and Bio-Archaeology Research Network, School of Archaeology, University of Oxford, Oxford, OX1 3TG, UK
| | - Frank W Nicholas
- Sydney School of Veterinary Science, The University of Sydney, Sydney, NSW, 2570, Australia
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA.
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Zhang YF, Wang GD, Huang MG, Qiu ZQ, Si J, Xu MY. Association between the Khorana risk score and all-cause mortality in Japanese patients with gastric and colorectal cancer: A retrospective cohort study. World J Gastrointest Oncol 2023; 15:1784-1795. [PMID: 37969412 PMCID: PMC10631431 DOI: 10.4251/wjgo.v15.i10.1784] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/21/2023] [Accepted: 09/18/2023] [Indexed: 10/10/2023] Open
Abstract
BACKGROUND The Khorana risk score (KRS) has poor predictive value for cancer-associated thrombosis in a single tumor type but is associated with early all-cause mortality from cancer. Evidence for the association between KRS and all-cause mortality in Japanese patients with gastric and colorectal cancer is limited. AIM To investigate whether KRS was independently related to all-cause mortality in Japanese patients with gastric and colorectal cancer after adjusting for other covariates and to shed light on its temporal validity. METHODS Data from Dryad database were used in this study. Patients in the Gastroenterology Department of Sapporo General Hospital, Sapporo, Japan, were enrolled. The starting and ending dates of the enrollment were January 1, 2008 and January 5, 2015, respectively. The cutoff date for follow-up was May 31, 2016. The independent and dependent (target) variables were the baseline measured using the KRS and final all-cause mortality, respectively. The KRS was categorized into three groups: Low-risk group (= 0 score), intermediate-risk group (1-2 score), and high-risk group (≥ 3 score). RESULTS Men and patients with Eastern Cooperative Oncology Group Performance Status (ECOG PS) ≥ 2 displayed a higher 2-year risk of death than women and those with ECOG PS 0-1 in the intermediate/high risk group for KRS. The higher the score, the higher the risk of early death; however, the relevance of this independent prediction decreased with longer survival. The overall survival of each patient was recorded via real-world follow-up and retrospective observations, and this study yielded the overall relationship between KRS and all-cause mortality. CONCLUSION The prechemotherapy baseline of KRS was independently associated with all-cause mortality within 2 years; however, this independent predictive relationship weakened as survival time increased.
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Affiliation(s)
- Yu-Feng Zhang
- Department of Oncology Radiotherapy, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji 311800, Zhejiang Province, China
| | - Guo-Dong Wang
- Department of Oncology Radiotherapy, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji 311800, Zhejiang Province, China
| | - Min-Guang Huang
- Department of Oncology Radiotherapy, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji 311800, Zhejiang Province, China
| | - Zhao-Qi Qiu
- Department of Oncology Radiotherapy, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji 311800, Zhejiang Province, China
| | - Jia Si
- Department of Electrocardiography, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji 311800, Zhejiang Province, China
| | - Mao-Yi Xu
- Department of Oncology, The First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), Jiaxing 314000, Zhejiang Province, China
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9
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Tian R, Li Y, Zhao H, Lyu W, Zhao J, Wang X, Lu H, Xu H, Ren W, Tan QQ, Shi Q, Wang GD, Zhang YP, Lai L, Mi J, Jiang YH, Zhang YQ. Modeling SHANK3-associated autism spectrum disorder in Beagle dogs via CRISPR/Cas9 gene editing. Mol Psychiatry 2023; 28:3739-3750. [PMID: 37848710 DOI: 10.1038/s41380-023-02276-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 08/30/2023] [Accepted: 09/14/2023] [Indexed: 10/19/2023]
Abstract
Despite intensive studies in modeling neuropsychiatric disorders especially autism spectrum disorder (ASD) in animals, many challenges remain. Genetic mutant mice have contributed substantially to the current understanding of the molecular and neural circuit mechanisms underlying ASD. However, the translational value of ASD mouse models in preclinical studies is limited to certain aspects of the disease due to the apparent differences in brain and behavior between rodents and humans. Non-human primates have been used to model ASD in recent years. However, a low reproduction rate due to a long reproductive cycle and a single birth per pregnancy, and an extremely high cost prohibit a wide use of them in preclinical studies. Canine model is an appealing alternative because of its complex and effective dog-human social interactions. In contrast to non-human primates, dog has comparable drug metabolism as humans and a high reproduction rate. In this study, we aimed to model ASD in experimental dogs by manipulating the Shank3 gene as SHANK3 mutations are one of most replicated genetic defects identified from ASD patients. Using CRISPR/Cas9 gene editing, we successfully generated and characterized multiple lines of Beagle Shank3 (bShank3) mutants that have been propagated for a few generations. We developed and validated a battery of behavioral assays that can be used in controlled experimental setting for mutant dogs. bShank3 mutants exhibited distinct and robust social behavior deficits including social withdrawal and reduced social interactions with humans, and heightened anxiety in different experimental settings (n = 27 for wild-type controls and n = 44 for mutants). We demonstrate the feasibility of producing a large number of mutant animals in a reasonable time frame. The robust and unique behavioral findings support the validity and value of a canine model to investigate the pathophysiology and develop treatments for ASD and potentially other psychiatric disorders.
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Affiliation(s)
- Rui Tian
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yuan Li
- Beijing Sinogene Biotechnology Co. Ltd, Beijing, China
| | - Hui Zhao
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Wen Lyu
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jianping Zhao
- Beijing Sinogene Biotechnology Co. Ltd, Beijing, China
| | - Xiaomin Wang
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Heng Lu
- Department of Life Science and Medicine, University of Science and Technology of China, Hefei, 230022, China
- State Key Laboratory of Genetic Resources and Evolution, and Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Huijuan Xu
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wei Ren
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qing-Quan Tan
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qi Shi
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, and Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, and Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Liangxue Lai
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Jidong Mi
- Beijing Sinogene Biotechnology Co. Ltd, Beijing, China
| | - Yong-Hui Jiang
- Department of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, 06510, USA.
| | - Yong Q Zhang
- State Key Laboratory of Molecular Developmental Biology, and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- School of Life Sciences, Hubei University, Wuhan, China.
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10
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Ren Y, Liu L, Sun D, Zhang Z, Li M, Lan X, Ni J, Yan MM, Huang W, Liu ZM, Peng AQ, Zhang Y, Jiang N, Song K, Huang Z, Bi Q, Zhang J, Yang Q, Yang J, Liu Y, Fu W, Tian X, Wang Y, Zhong W, Song X, Abudurexiti A, Xia Z, Jiang Q, Shi H, Liu X, Wang G, Hu Y, Zhang Y, Yin G, Fan J, Feng S, Zhou X, Li Z, He W, Weeks J, Schwarz EM, Kates SL, Huang L, Chai Y, Bin Yu MD, Xie Z, Deng Z, Xie C. Epidemiological updates of post-traumatic related limb osteomyelitis in china: a 10 years multicentre cohort study. Int J Surg 2023; 109:2721-2731. [PMID: 37247014 PMCID: PMC10498838 DOI: 10.1097/js9.0000000000000502] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/09/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Post-traumatic related limb osteomyelitis (PTRLO) is a complex bone infection. Currently, there are no available microbial data on a national scale that can guide appropriate antibiotic selection, and explore the dynamic changes in dominant pathogens over time. This study aimed to conduct a comprehensive epidemiological analysis of PTRLO in China. METHODS The study was approved by the Institutional Research Board (IRB), and 3526 PTRLO patients were identified from 212 394 traumatic limb fracture patients at 21 hospitals between 1 January 2008 and 31 December 2017. A retrospective analysis was conducted to investigate the epidemiology of PTRLO, including changes in infection rate (IR), pathogens, infection risk factors and antibiotic resistance and sensitivity. RESULTS The IR of PTRLO increased gradually from 0.93 to 2.16% (Z=14.392, P <0.001). Monomicrobial infection (82.6%) was significantly higher than polymicrobial infection (17.4%) ( P <0.001). The IR of Gram-positive (GP) and Gram-negative (GN) pathogens showed a significant increase from the lowest 0.41% to the highest 1.15% (GP) or 1.62% (GN), respectively. However, the longitudinal trend of GP vs. GN's composition did not show any significance (Z=±1.1918, P >0.05). The most prevalent GP strains were Methicillin-sensitive Staphylococcus aureus (MSSA) (17.03%), Methicillin-resistant Staphylococcus aureus (MRSA) (10.46%), E. faecalis (5.19%) and S. epidermidis (4.87%). In contrast, the dominant strains GN strains were Pseudomonas Aeruginosa (10.92%), E. cloacae (10.34%), E. coli (9.47%), Acinetobacter Baumannii (7.92%) and Klebsiella Pneumoniae (3.33%). In general, the high-risk factors for polymicrobial infection include opened-fracture (odds ratio, 2.223), hypoproteinemia (odds ratio, 2.328), and multiple fractures (odds ratio, 1.465). It is important to note that the antibiotics resistance and sensitivity analysis of the pathogens may be influenced by complications or comorbidities. CONCLUSIONS This study provides the latest data of PTRLO in China and offers trustworthy guidelines for clinical practice. (China Clinical Trials.gov number, ChiCTR1800017597).
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Affiliation(s)
- YouLiang Ren
- Department of Orthopaedics, Second Affiliated Hospital of Chongqing Medical University
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY
| | - Lei Liu
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen
- Department of Orthopaedics, West China Hospital, Sichuan University
| | - Dong Sun
- Department of Orthopaedics, First Affiliated Hospital of Army Medical University
| | - ZhengDong Zhang
- Department of Orthopaedics, West China Hospital, Sichuan University
- Department of Orthopedics, The First Affiliated Hospital of Chengdu Medical College, Chengdu
| | - Meng Li
- Department of Orthopaedics, Gansu Provincial Hospital
- Department of Orthopaedics, Lanzhou General Hospital of People’s Liberation Army, Lanzhou
| | - Xu Lan
- Department of Orthopaedics, Gansu Provincial Hospital
- Department of Orthopaedics, Lanzhou General Hospital of People’s Liberation Army, Lanzhou
| | - JiangDong Ni
- Department of Orthopaedics Surgery, Second Xiangya Hospital, Central South University, Changsha
| | - Ming-Ming Yan
- Department of Orthopaedics Surgery, Second Xiangya Hospital, Central South University, Changsha
| | - Wei Huang
- Department of Orthopaedics, First Affiliated Hospital of Chongqing Medical University, Chongqing
| | - Zi-Ming Liu
- Department of Orthopaedics, First Affiliated Hospital of Chongqing Medical University, Chongqing
- Institute of Sports Medicine Beijing Key Laboratory of Sports Injuries Peking University Third Hospital
| | - AQin Peng
- Department of Orthopaedics, Third Hospital of Hebei Medical University, Shijiazhuang
| | - YanLong Zhang
- Department of Orthopaedics, Third Hospital of Hebei Medical University, Shijiazhuang
| | - Nan Jiang
- Department of Orthopaedics and Traumatology, Nanfang Hospital, Southern Medical University, Guangzhou
| | - KeGuan Song
- Third Department of Orthopaedics, First Affiliated Hospital of Harbin Medical University, Harbin
| | - ZhiPeng Huang
- Third Department of Orthopaedics, First Affiliated Hospital of Harbin Medical University, Harbin
| | - Qing Bi
- Department of Orthopaedics, Zhejiang Provincial People's Hospital of Hangzhou Medical College, Hangzhou
| | - Jun Zhang
- Department of Orthopaedics, Zhejiang Provincial People's Hospital of Hangzhou Medical College, Hangzhou
| | - Qun Yang
- Department of Orthopaedics, First Affiliated Hospital of Dalian Medical University, Dalian
| | - Jun Yang
- Department of Orthopaedics, First Affiliated Hospital of Dalian Medical University, Dalian
| | - Yi Liu
- Department of Orthopaedics, Affiliated Hospital of Zunyi Medical University, Zunyi
| | - Wei Fu
- Department of Orthopaedics, Affiliated Hospital of Zunyi Medical University, Zunyi
- Department of Orthopaedics, Guizhou Provincial People’s Hospital
| | | | - YuanZheng Wang
- Department of Orthopaedics, Guizhou Provincial People’s Hospital
| | - WanRun Zhong
- Department of Orthopaedics Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
| | - XingHua Song
- Department of Orthopaedics, First Hospital of Xinjiang Medical University, Ürümqi
- Department of Spine and Joint, The Affiliated Shunde Hospital of Jinan University, Foshan
| | | | - ZhiLin Xia
- Department of Orthopaedics, Second Hospital of Beijing Municipal Corps Chinese People's Armed Police
| | - Qing Jiang
- Department of Orthopaedics, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School
| | - HongFei Shi
- Department of Orthopaedics, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School
| | - XiMing Liu
- Department of Orthopaedics, Wuhan General Hospital of People's Liberation Army, Wuhan
| | - GuoDong Wang
- Department of Orthopaedics, Wuhan General Hospital of People's Liberation Army, Wuhan
| | - YunSheng Hu
- Department of Orthopaedics, Tangdu Hospital, Fourth Military Medical University, Xi'an
| | - YunFei Zhang
- Department of Orthopaedics, Tangdu Hospital, Fourth Military Medical University, Xi'an
| | - GuoYong Yin
- Department of Orthopaedics, First Affiliated Hospital of Nanjing Medical University, Nanjing
| | - Jin Fan
- Department of Orthopaedics, First Affiliated Hospital of Nanjing Medical University, Nanjing
| | - ShiQing Feng
- Department of Orthopaedics, Tianjin Medical University General Hospital, Heping, China
| | - XianHu Zhou
- Department of Orthopaedics, Tianjin Medical University General Hospital, Heping, China
| | - ZhengDao Li
- Department of Orthopaedics, First People’s Hospital of Xuzhou, Affiliated Hospital of China University of Mining and Technology
| | - WenBin He
- Department of Trauma Orthopaedics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai
| | - Jason Weeks
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY
| | - Edward M Schwarz
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY
| | - Stephen L Kates
- Department of Orthopedic Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - Lei Huang
- Department of Orthopaedics, Peking University Jishuitan Hospital, Beijing
| | - YiMin Chai
- Department of Orthopaedics Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
| | - MD Bin Yu
- Department of Orthopaedics and Traumatology, Nanfang Hospital, Southern Medical University, Guangzhou
| | - Zhao Xie
- Department of Orthopaedics, First Affiliated Hospital of Army Medical University
| | - ZhongLiang Deng
- Department of Orthopaedics, Second Affiliated Hospital of Chongqing Medical University
| | - Chao Xie
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY
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11
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Meadows JRS, Kidd JM, Wang GD, Parker HG, Schall PZ, Bianchi M, Christmas MJ, Bougiouri K, Buckley RM, Hitte C, Nguyen AK, Wang C, Jagannathan V, Niskanen JE, Frantz LAF, Arumilli M, Hundi S, Lindblad-Toh K, Ginja C, Agustina KK, André C, Boyko AR, Davis BW, Drögemüller M, Feng XY, Gkagkavouzis K, Iliopoulos G, Harris AC, Hytönen MK, Kalthoff DC, Liu YH, Lymberakis P, Poulakakis N, Pires AE, Racimo F, Ramos-Almodovar F, Savolainen P, Venetsani S, Tammen I, Triantafyllidis A, vonHoldt B, Wayne RK, Larson G, Nicholas FW, Lohi H, Leeb T, Zhang YP, Ostrander EA. Genome sequencing of 2000 canids by the Dog10K consortium advances the understanding of demography, genome function and architecture. Genome Biol 2023; 24:187. [PMID: 37582787 PMCID: PMC10426128 DOI: 10.1186/s13059-023-03023-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 07/25/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND The international Dog10K project aims to sequence and analyze several thousand canine genomes. Incorporating 20 × data from 1987 individuals, including 1611 dogs (321 breeds), 309 village dogs, 63 wolves, and four coyotes, we identify genomic variation across the canid family, setting the stage for detailed studies of domestication, behavior, morphology, disease susceptibility, and genome architecture and function. RESULTS We report the analysis of > 48 M single-nucleotide, indel, and structural variants spanning the autosomes, X chromosome, and mitochondria. We discover more than 75% of variation for 239 sampled breeds. Allele sharing analysis indicates that 94.9% of breeds form monophyletic clusters and 25 major clades. German Shepherd Dogs and related breeds show the highest allele sharing with independent breeds from multiple clades. On average, each breed dog differs from the UU_Cfam_GSD_1.0 reference at 26,960 deletions and 14,034 insertions greater than 50 bp, with wolves having 14% more variants. Discovered variants include retrogene insertions from 926 parent genes. To aid functional prioritization, single-nucleotide variants were annotated with SnpEff and Zoonomia phyloP constraint scores. Constrained positions were negatively correlated with allele frequency. Finally, the utility of the Dog10K data as an imputation reference panel is assessed, generating high-confidence calls across varied genotyping platform densities including for breeds not included in the Dog10K collection. CONCLUSIONS We have developed a dense dataset of 1987 sequenced canids that reveals patterns of allele sharing, identifies likely functional variants, informs breed structure, and enables accurate imputation. Dog10K data are publicly available.
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Affiliation(s)
- Jennifer R S Meadows
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden.
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA.
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Heidi G Parker
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Peter Z Schall
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA
| | - Matteo Bianchi
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Matthew J Christmas
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Katia Bougiouri
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Reuben M Buckley
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Christophe Hitte
- University of Rennes, CNRS, Institute Genetics and Development Rennes - UMR6290, 35000, Rennes, France
| | - Anthony K Nguyen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA
| | - Chao Wang
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Julia E Niskanen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Laurent A F Frantz
- School of Biological and Behavioural Sciences, Queen Mary University of London, London E14NS, UK and Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, D-80539, Munich, Germany
| | - Meharji Arumilli
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Sruthi Hundi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Kerstin Lindblad-Toh
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Catarina Ginja
- BIOPOLIS-CIBIO-InBIO-Centro de Investigação Em Biodiversidade E Recursos Genéticos - ArchGen Group, Universidade Do Porto, 4485-661, Vairão, Portugal
| | | | - Catherine André
- University of Rennes, CNRS, Institute Genetics and Development Rennes - UMR6290, 35000, Rennes, France
| | - Adam R Boyko
- Department of Biomedical Sciences, Cornell University, 930 Campus Road, Ithaca, NY, 14853, USA
| | - Brian W Davis
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Michaela Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Xin-Yao Feng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Konstantinos Gkagkavouzis
- Department of Genetics, School of Biology, ), Aristotle University of Thessaloniki, Thessaloniki, Macedonia 54124, Greece and Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI-AUTH, Balkan Center, Thessaloniki, Greece
| | - Giorgos Iliopoulos
- NGO "Callisto", Wildlife and Nature Conservation Society, 54621, Thessaloniki, Greece
| | - Alexander C Harris
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Daniela C Kalthoff
- NGO "Callisto", Wildlife and Nature Conservation Society, 54621, Thessaloniki, Greece
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Petros Lymberakis
- Natural History Museum of Crete & Department of Biology, University of Crete, 71202, Irakleio, Greece
- Biology Department, School of Sciences and Engineering, University of Crete, Heraklion, Greece
- Palaeogenomics and Evolutionary Genetics Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Nikolaos Poulakakis
- Natural History Museum of Crete & Department of Biology, University of Crete, 71202, Irakleio, Greece
- Biology Department, School of Sciences and Engineering, University of Crete, Heraklion, Greece
- Palaeogenomics and Evolutionary Genetics Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Ana Elisabete Pires
- BIOPOLIS-CIBIO-InBIO-Centro de Investigação Em Biodiversidade E Recursos Genéticos - ArchGen Group, Universidade Do Porto, 4485-661, Vairão, Portugal
| | - Fernando Racimo
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | | | - Peter Savolainen
- Department of Gene Technology, Science for Life Laboratory, KTH - Royal Institute of Technology, 17121, Solna, Sweden
| | - Semina Venetsani
- Department of Genetics, School of Biology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Macedonia, Greece
| | - Imke Tammen
- Sydney School of Veterinary Science, The University of Sydney, Sydney, NSW, 2570, Australia
| | - Alexandros Triantafyllidis
- Department of Genetics, School of Biology, ), Aristotle University of Thessaloniki, Thessaloniki, Macedonia 54124, Greece and Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI-AUTH, Balkan Center, Thessaloniki, Greece
| | - Bridgett vonHoldt
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-7246, USA
| | - Greger Larson
- Palaeogenomics and Bio-Archaeology Research Network, School of Archaeology, University of Oxford, Oxford, OX1 3TG, UK
| | - Frank W Nicholas
- Sydney School of Veterinary Science, The University of Sydney, Sydney, NSW, 2570, Australia
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA.
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12
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Li WL, Liu YH, Li JX, Ding MT, Adeola AC, Isakova J, Aldashev AA, Peng MS, Huang X, Xie G, Chen X, Yang WK, Zhou WW, Ghanatsaman ZA, Olaogun SC, Sanke OJ, Dawuda PM, Hytönen MK, Lohi H, Esmailizadeh A, Poyarkov AD, Savolainen P, Wang GD, Zhang YP. Multiple Origins and Genomic Basis of Complex Traits in Sighthounds. Mol Biol Evol 2023; 40:msad158. [PMID: 37433053 PMCID: PMC10401622 DOI: 10.1093/molbev/msad158] [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: 01/28/2023] [Revised: 06/24/2023] [Accepted: 06/27/2023] [Indexed: 07/13/2023] Open
Abstract
Sighthounds, a distinctive group of hounds comprising numerous breeds, have their origins rooted in ancient artificial selection of dogs. In this study, we performed genome sequencing for 123 sighthounds, including one breed from Africa, six breeds from Europe, two breeds from Russia, and four breeds and 12 village dogs from the Middle East. We gathered public genome data of five sighthounds and 98 other dogs as well as 31 gray wolves to pinpoint the origin and genes influencing the morphology of the sighthound genome. Population genomic analysis suggested that sighthounds originated from native dogs independently and were comprehensively admixed among breeds, supporting the multiple origins hypothesis of sighthounds. An additional 67 published ancient wolf genomes were added for gene flow detection. Results showed dramatic admixture of ancient wolves in African sighthounds, even more than with modern wolves. Whole-genome scan analysis identified 17 positively selected genes (PSGs) in the African population, 27 PSGs in the European population, and 54 PSGs in the Middle Eastern population. None of the PSGs overlapped in the three populations. Pooled PSGs of the three populations were significantly enriched in "regulation of release of sequestered calcium ion into cytosol" (gene ontology: 0051279), which is related to blood circulation and heart contraction. In addition, ESR1, JAK2, ADRB1, PRKCE, and CAMK2D were under positive selection in all three selected groups. This suggests that different PSGs in the same pathway contributed to the similar phenotype of sighthounds. We identified an ESR1 mutation (chr1: g.42,177,149 T > C) in the transcription factor (TF) binding site of Stat5a and a JAK2 mutation (chr1: g.93,277,007 T > A) in the TF binding site of Sox5. Functional experiments confirmed that the ESR1 and JAK2 mutation reduced their expression. Our results provide new insights into the domestication history and genomic basis of sighthounds.
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Affiliation(s)
- Wu-Lue Li
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Jin-Xiu Li
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Meng-Ting Ding
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Jainagul Isakova
- Laboratory of Molecular and Cell Biology, Institute of Molecular Biology and Medicine, Bishkek, Kyrgyzstan
| | - Almaz A Aldashev
- Laboratory of Molecular and Cell Biology, Institute of Molecular Biology and Medicine, Bishkek, Kyrgyzstan
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Xuezhen Huang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Guoli Xie
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xi Chen
- Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, China
- Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Wei-Kang Yang
- Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Wei-Wei Zhou
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zeinab Amiri Ghanatsaman
- Animal Science Research Department, Fars Agricultural and Natural Resources research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran
| | - Sunday C Olaogun
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oscar J Sanke
- Ministry of Agriculture and Natural Resources, Taraba State Government, Jalingo, Nigeria
| | - Philip M Dawuda
- Department of Animal Science, Faculty of Agriculture, National University of Lesotho, Roma, Southern Africa
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Ali Esmailizadeh
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Andrey D Poyarkov
- Severtsov Institute of Ecology and Evolution, Russian Academy of Science, Moscow, Russia
| | - Peter Savolainen
- KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, Science for Life Laboratory, Solna, Sweden
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
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13
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Hong H, Guo C, Liu X, Yang L, Ren W, Zhao H, Li Y, Zhou Z, Lam SM, Mi J, Zuo Z, Liu C, Wang GD, Zhuo Y, Zhang YP, Li Y, Shui G, Zhang YQ, Xiong Y. Differential effects of social isolation on oligodendrocyte development in different brain regions: insights from a canine model. Front Cell Neurosci 2023; 17:1201295. [PMID: 37538851 PMCID: PMC10393781 DOI: 10.3389/fncel.2023.1201295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/07/2023] [Indexed: 08/05/2023] Open
Abstract
Social isolation (SI) exerts diverse adverse effects on brain structure and function in humans. To gain an insight into the mechanisms underlying these effects, we conducted a systematic analysis of multiple brain regions from socially isolated and group-housed dogs, whose brain and behavior are similar to humans. Our transcriptomic analysis revealed reduced expression of myelin-related genes specifically in the white matter of prefrontal cortex (PFC) after SI during the juvenile stage. Despite these gene expression changes, myelin fiber organization in PFC remained unchanged. Surprisingly, we observed more mature oligodendrocytes and thicker myelin bundles in the somatosensory parietal cortex in socially isolated dogs, which may be linked to an increased expression of ADORA2A, a gene known to promote oligodendrocyte maturation. Additionally, we found a reduced expression of blood-brain barrier (BBB) structural components Aquaporin-4, Occludin, and Claudin1 in both PFC and parietal cortices, indicating BBB disruption after SI. In agreement with BBB disruption, myelin-related sphingolipids were increased in cerebrospinal fluid in the socially isolated group. These unexpected findings show that SI induces distinct alterations in oligodendrocyte development and shared disruption in BBB integrity in different cortices, demonstrating the value of dogs as a complementary animal model to uncover molecular mechanisms underlying SI-induced brain dysfunction.
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Affiliation(s)
- Huilin Hong
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Chao Guo
- Division of Life Sciences and Medicine, School of Life Sciences, University of Science and Technology of China, Hefei, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xueru Liu
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Liguang Yang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Bio-Med Big Data Center, Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wei Ren
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Hui Zhao
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yuan Li
- Beijing Sinogene Biotechnology Co., Ltd., Beijing, China
| | - Zhongyin Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Sin Man Lam
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Jidong Mi
- Beijing Sinogene Biotechnology Co., Ltd., Beijing, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Cirong Liu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yan Zhuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yixue Li
- Bio-Med Big Data Center, Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Guanghou Shui
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yong Q. Zhang
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ying Xiong
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
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14
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Cheng H, Jiang ZA, Chen L, Wang GD, Liu XY, Sun JM, Tsai TY. Impacts of gait biomechanics of patients with thoracolumbar kyphosis secondary to Scheuermann's disease. Front Bioeng Biotechnol 2023; 11:1192647. [PMID: 37304142 PMCID: PMC10248172 DOI: 10.3389/fbioe.2023.1192647] [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: 03/23/2023] [Accepted: 05/11/2023] [Indexed: 06/13/2023] Open
Abstract
Introduction: Thoracolumbar kyphosis (TLK) is a common feature in patients with spinal deformities. However, due to limited studies, the impacts of TLK on gait have not been reported. The objective of the study was to quantify and evaluate the impacts of gait biomechanics of patients with TLK secondary to Scheuermann's disease. Methods: Twenty cases of Scheuermann's disease patients with TLK and twenty cases of asymptomatic participants were recruited into this study. And the gait motion analysis was conducted. Results: The stride length was shorter in the TLK group compared to control group (1.24 ± 0.11 m vs. 1.36 ± 0.21 m, p = 0.04). Compared to control group, the stride time and step time were more prolonged in the TLK group (1.18 ± 0.11s vs. 1.11 ± 0.08 s, p = 0.03; 0.59 ± 0.06 s vs. 0.56 ± 0.04 s, p = 0.04). The gait speed of the TLK group was significantly slower than it of control group (1.05 ± 0.12 m/s vs. 1.17 ± 0.14 m/s, p = 0.01); In the sagittal plane, the range of motion (ROM) of the hip in the TLK group was significantly smaller than that of the control group (37.71 ± 4.35° vs. 40.05 ± 3.71°, p = 0.00). In the transverse plane, the adduction/abduction ROMs of the knee and ankle, as well as the internal and external rotation of the knee, were smaller in TLK group than ROMs in the control group (4.66 ± 2.21° vs. 5.61 ± 1.82°, p = 0.00; 11.48 ± 3.97° vs. 13.16 ± 5.6°, p = 0.02; 9.00 ± 5.14° vs. 12.95 ± 5.78°, p = 0.00). Discussion: The main finding of this study was that measurements of gait patterns and joint movement of the TLK group were significantly lower than those of the control group. And these impacts have the potential to exacerbate degenerative progress of joints in the lower extremities. These abnormal features of gait can also serve as a guideline for physicians to focus on TLK in these patients.
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Affiliation(s)
- Hao Cheng
- Department of Spine Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zi-Ang Jiang
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
- Department of Orthopaedic Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Chen
- Department of Orthopaedic Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Sports Science, Nanjing Sport Institute, Nanjing, China
| | - Guo-Dong Wang
- Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiao-Yang Liu
- Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jian-Min Sun
- Department of Spine Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Tsung-Yuan Tsai
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
- Department of Orthopaedic Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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15
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Ge XY, Lan ZK, Lan QQ, Lin HS, Wang GD, Chen J. Diagnostic accuracy of ultrasound-based multimodal radiomics modeling for fibrosis detection in chronic kidney disease. Eur Radiol 2023; 33:2386-2398. [PMID: 36454259 PMCID: PMC10017610 DOI: 10.1007/s00330-022-09268-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/15/2022] [Accepted: 10/24/2022] [Indexed: 12/02/2022]
Abstract
OBJECTIVES To predict kidney fibrosis in patients with chronic kidney disease using radiomics of two-dimensional ultrasound (B-mode) and Sound Touch Elastography (STE) images in combination with clinical features. METHODS The Mindray Resona 7 ultrasonic diagnostic apparatus with SC5-1U convex array probe (bandwidth frequency of 1-5 MHz) was used to perform two-dimensional ultrasound and STE software. The severity of cortical tubulointerstitial fibrosis was divided into three grades: mild interstitial fibrosis and tubular atrophy (IFTA), fibrotic area < 25%; moderate IFTA, fibrotic area 26-50%; and severe IFTA, fibrotic area > 50%. After extracting radiomics from B-mode and STE images in these patients, we analyzed two classification schemes: mild versus moderate-to-severe IFTA, and mild-to-moderate versus severe IFTA. A nomogram was constructed based on multiple logistic regression analyses, combining clinical and radiomics. The performance of the nomogram for differentiation was evaluated using receiver operating characteristic (ROC), calibration, and decision curves. RESULTS A total of 150 patients undergoing kidney biopsy were enrolled (mild IFTA: n = 74; moderate IFTA: n = 33; severe IFTA: n = 43) and randomized into training (n = 105) and validation cohorts (n = 45). To differentiate between mild and moderate-to-severe IFTA, a nomogram incorporating STE radiomics, albumin, and estimated glomerular filtration (eGFR) rate achieved an area under the ROC curve (AUC) of 0.91 (95% confidence interval [CI]: 0.85-0.97) and 0.85 (95% CI: 0.77-0.98) in the training and validation cohorts, respectively. Between mild-to-moderate and severe IFTA, the nomogram incorporating B-mode and STE radiomics features, age, and eGFR achieved an AUC of 0.93 (95% CI: 0.89-0.98) and 0.83 (95% CI: 0.70-0.95) in the training and validation cohorts, respectively. Finally, we performed a decision curve analysis and found that the nomogram using both radiomics and clinical features exhibited better predictability than any other model (DeLong test, p < 0.05 for the training and validation cohorts). CONCLUSION A nomogram based on two-dimensional ultrasound and STE radiomics and clinical features served as a non-invasive tool capable of differentiating kidney fibrosis of different severities. KEY POINTS • Radiomics calculated based on the ultrasound imaging may be used to predict the severities of kidney fibrosis. • Radiomics may be used to identify clinical features associated with the progression of tubulointerstitial fibrosis in patients with CKD. • Non-invasive ultrasound imaging-based radiomics method with accuracy aids in detecting renal fibrosis with different IFTA severities.
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Affiliation(s)
- Xin-Yue Ge
- Department of Medical Ultrasound, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China
| | - Zhong-Kai Lan
- Department of Medical Ultrasound, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China
| | - Qiao-Qing Lan
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Hua-Shan Lin
- Department of Pharmaceutical Diagnosis, GE Healthcare, Changsha, 410005, China
| | - Guo-Dong Wang
- Department of Oncology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China.
| | - Jing Chen
- Department of Medical Ultrasound, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China.
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16
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Cao Y, Chen L, Chen H, Cun Y, Dai X, Du H, Gao F, Guo F, Guo Y, Hao P, He S, He S, He X, Hu Z, Hoh BP, Jin X, Jiang Q, Jiang Q, Khan A, Kong HZ, Li J, Li SC, Li Y, Lin Q, Liu J, Liu Q, Lu J, Lu X, Luo S, Nie Q, Qiu Z, Shi T, Song X, Su J, Tao SC, Wang C, Wang CC, Wang GD, Wang J, Wu Q, Wu S, Xu S, Xue Y, Yang W, Yang Z, Ye K, Ye YN, Yu L, Zhao F, Zhao Y, Zhai W, Zhang D, Zhang L, Zheng H, Zhou Q, Zhu T, Zhang YP. Was Wuhan the early epicenter of the COVID-19 pandemic?-A critique. Natl Sci Rev 2023; 10:nwac287. [PMID: 37089192 PMCID: PMC10116607 DOI: 10.1093/nsr/nwac287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Yanan Cao
- Ruijin Hospital, Shanghai Jiao Tong University, China
| | - Lingling Chen
- College of Life Science and Technology, Guangxi University, China
| | - Hua Chen
- Beijing Institute of Genomics, Chinese Academy of Sciences, China
| | - Yupeng Cun
- Children's Hospital of Chongqing Medical University, China
| | - Xiaofeng Dai
- Wuxi School of Medicine, Jiangnan University, China
| | - Hongli Du
- School of Biology and Biological Engineering, South China University of Technology, China
| | - Feng Gao
- Department of Physics, School of Science, Tianjin University, China
| | - Fengbiao Guo
- School of Pharmaceutical Sciences, Wuhan University, China
| | - Yalong Guo
- Institute of Botany, Chinese Academy of Sciences, China
| | - Pei Hao
- Institut Pasteur of Shanghai, Chinese Academy of Sciences, China
| | - Shunmin He
- Institute of Biophysics, Chinese Academy of Sciences, China
| | - Shunping He
- Institute of Hydrobiology, Chinese Academy of Sciences, China
| | - XiongLei He
- School of Life Sciences, Sun Yat-sen University, China
| | - Zheng Hu
- Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
| | - Boon-Peng Hoh
- Faculty of Medicine and Health Sciences, University College Sedaya International, Malaysia
| | - Xin Jin
- School of Medicine, South China University of Technology, China
| | - Qian Jiang
- Department of Medical Genetics, Capital Institute of Pediatrics, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, China
| | - Asifullah Khan
- Department of Biochemistry, Abdul Wali Khan University, Pakistan
| | - Hong-Zhi Kong
- Institute of Botany, Chinese Academy of Sciences, China
| | - Jinchen Li
- Xiangya Hospital, Central South University, China
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, China
| | - Ying Li
- College of Life Science and Technology, Foshan University, China
| | - Qiang Lin
- South China Sea Institute of Oceanology, Chinese Academy of Sciences, China
| | | | - Qi Liu
- School of Life Sciences and Technology, Tongji University, China
| | - Jian Lu
- School of Life Sciences, Peking University, China
| | - Xuemei Lu
- Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Shujin Luo
- School of Life Sciences, Peking University, China
| | - Qinghua Nie
- College of Animal Science, South China Agricultural University, China
| | - Zilong Qiu
- Institute of Neuroscience, Chinese Academy of Sciences, China
| | - Tieliu Shi
- School of Life Sciences, East China Normal University, China
| | - Xiaofeng Song
- Nanjing University of Aeronautics and Astronautics, China
| | - Jianzhong Su
- Wenzhou Institute, University of Chinese Academy of Sciences, China
| | - Sheng-ce Tao
- Institute of Systems Biomedicine, Shanghai Jiao Tong University, China
| | - Chaolong Wang
- Tongji Medical College, Huazhong University of Science and Technology, China
| | | | - Guo-Dong Wang
- Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Jiguang Wang
- Division of Life Science and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, China
| | - Qi Wu
- Institute of Microbiology, Chinese Academy of Sciences, China
| | - Shaoyuan Wu
- School of Life Sciences, Jiangsu Normal University, China
| | - Shuhua Xu
- School of Life Sciences, Fudan University, China
| | - Yu Xue
- College of Life Science and Technology, Huazhong University of Science and Technology, China
| | - Wenjun Yang
- International Center for Aging and Cancer, Hainan Medical University, China
| | - Zhaohui Yang
- Academy of Medical Science, Zhengzhou University, China
| | - Kai Ye
- Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, China
| | - Yuan-Nong Ye
- Bioinformatics and BioMedical Bigdata Mining Laboratory, School of Big Health, Guizhou Medical University, China
| | - Li Yu
- School of Life Sciences, Yunnan University, China
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, China
| | - Yiqiang Zhao
- College of Biological Sciences, China Agricultural University, China
| | - Weiwei Zhai
- Institute of Zoology, Chinese Academy of Sciences, China
| | - Dandan Zhang
- Department of Pathology, and Department of Medical Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, China
| | - Liye Zhang
- School of Life Science and Technology, ShanghaiTech University, China
| | | | - Qi Zhou
- Life Sciences Institute, Zhejiang University, China
| | - Tianqi Zhu
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
| | - Ya-ping Zhang
- Kunming Institute of Zoology, Chinese Academy of Sciences, China
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17
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Zhang YB, Pan XF, Lu Q, Wang YX, Geng TT, Zhou YF, Liao LM, Tu ZZ, Chen JX, Xia PF, Wang Y, Wan ZZ, Guo KQ, Yang K, Yang HD, Chen SH, Wang GD, Han X, Wang YX, Yu D, He MA, Zhang XM, Liu LG, Wu T, Wu SL, Liu G, Pan A. Association of Combined Healthy Lifestyles With Cardiovascular Disease and Mortality of Patients With Diabetes: An International Multicohort Study. Mayo Clin Proc 2023; 98:60-74. [PMID: 36603958 PMCID: PMC9830550 DOI: 10.1016/j.mayocp.2022.08.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 07/29/2022] [Accepted: 08/12/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To prospectively examine the associations of combined lifestyle factors with incident cardiovascular disease (CVD) and mortality in patients with diabetes. PATIENTS AND METHODS Patients with prevalent diabetes were included from 5 prospective, population-based cohorts in China (Dongfeng-Tongji cohort and Kailuan study), the United Kingdom (UK Biobank study), and the United States (National Health and Nutrition Examination Survey and National Institutes of Health-AARP Diet and Health Study). Healthy lifestyle scores were constructed according to non-current smoking, low to moderate alcohol drinking, regular physical activity, healthy diet, and optimal body weight; the healthy level of each lifestyle factor was assigned 1 point, or 0 for otherwise, and the range of the score was 0 to 5. Cox proportional hazards models were used to estimate hazard ratios for incident CVD, CVD mortality, and all-cause mortality adjusting for sociodemographic, medical, and diabetes-related factors, and outcomes were obtained by linkage to medical records and death registries. Data were collected from October 18, 1988, to September 30, 2020. RESULTS A total of 6945 incident CVD cases were documented in 41,350 participants without CVD at baseline from the 2 Chinese cohorts and the UK Biobank during 389,330 person-years of follow-up, and 40,353 deaths were documented in 101,219 participants from all 5 cohorts during 1,238,391 person-years of follow-up. Adjusted hazard ratios (95% CIs) comparing patients with 4 or 5 vs 0 or 1 healthy lifestyle factors were 0.67 (0.60 to 0.74) for incident CVD, 0.58 (0.50 to 0.68) for CVD mortality, and 0.60 (0.53 to 0.68) for all-cause mortality. Findings remained consistent across different cohorts, subgroups, and sensitivity analyses. CONCLUSION The international analyses document that adherence to multicomponent healthy lifestyles is associated with lower risk of CVD and premature death of patients with diabetes.
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Affiliation(s)
- Yan-Bo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Xiu Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Ting-Ting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Feng Zhou
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linda M Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Zhou-Zheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen-Zhen Wan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun-Quan Guo
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kun Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Han-Dong Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Shuo-Hua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Guo-Dong Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xu Han
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN
| | - Mei-An He
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Min Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie-Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Zhang YB, Pan XF, Lu Q, Wang YX, Geng TT, Zhou YF, Liao LM, Tu ZZ, Chen JX, Xia PF, Wang Y, Wan ZZ, Guo KQ, Yang K, Yang HD, Chen SH, Wang GD, Han X, Wang YX, Yu D, He MA, Zhang XM, Liu LG, Wu T, Wu SL, Liu G, Pan A. Correction to: Associations of combined healthy lifestyles with cancer morbidity and mortality among individuals with diabetes: results from five cohort studies in the USA, the UK and China. Diabetologia 2022; 65:2174. [PMID: 36197538 DOI: 10.1007/s00125-022-05802-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Yan-Bo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Xiu Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Ting-Ting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Feng Zhou
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linda M Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhou-Zheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen-Zhen Wan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun-Quan Guo
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kun Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Han-Dong Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Shuo-Hua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Guo-Dong Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xu Han
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Mei-An He
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Min Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie-Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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19
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Zhang YB, Pan XF, Lu Q, Wang YX, Geng TT, Zhou YF, Liao LM, Tu ZZ, Chen JX, Xia PF, Wang Y, Wan ZZ, Guo KQ, Yang K, Yang HD, Chen SH, Wang GD, Han X, Wang YX, Yu D, He MA, Zhang XM, Liu LG, Wu T, Wu SL, Liu G, Pan A. Associations of combined healthy lifestyles with cancer morbidity and mortality among individuals with diabetes: results from five cohort studies in the USA, the UK and China. Diabetologia 2022; 65:2044-2055. [PMID: 36102938 PMCID: PMC9633429 DOI: 10.1007/s00125-022-05754-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/30/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS Cancer has contributed to an increasing proportion of diabetes-related deaths, while lifestyle management is the cornerstone of both diabetes care and cancer prevention. We aimed to evaluate the associations of combined healthy lifestyles with total and site-specific cancer risks among individuals with diabetes. METHODS We included 92,239 individuals with diabetes but without cancer at baseline from five population-based cohorts in the USA (National Health and Nutrition Examination Survey and National Institutes of Health [NIH]-AARP Diet and Health Study), the UK (UK Biobank study) and China (Dongfeng-Tongji cohort and Kailuan study). Healthy lifestyle scores (range 0-5) were constructed based on current nonsmoking, low-to-moderate alcohol drinking, adequate physical activity, healthy diet and optimal bodyweight. Cox regressions were used to calculate HRs for cancer morbidity and mortality, adjusting for sociodemographic, medical and diabetes-related factors. RESULTS During 376,354 person-years of follow-up from UK Biobank and the two Chinese cohorts, 3229 incident cancer cases were documented, and 6682 cancer deaths were documented during 1,089,987 person-years of follow-up in the five cohorts. The pooled multivariable-adjusted HRs (95% CIs) comparing participants with 4-5 vs 0-1 healthy lifestyle factors were 0.73 (0.61, 0.88) for incident cancer and 0.55 (0.46, 0.67) for cancer mortality, and ranged between 0.41 and 0.63 for oesophagus, lung, liver, colorectum, breast and kidney cancers. Findings remained consistent across different cohorts and subgroups. CONCLUSIONS/INTERPRETATION This international cohort study found that adherence to combined healthy lifestyles was associated with lower risks of total cancer morbidity and mortality as well as several subtypes (oesophagus, lung, liver, colorectum, breast and kidney cancers) among individuals with diabetes.
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Affiliation(s)
- Yan-Bo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Xiu Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Ting-Ting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Feng Zhou
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linda M Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhou-Zheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen-Zhen Wan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun-Quan Guo
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kun Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Han-Dong Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Shuo-Hua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Guo-Dong Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xu Han
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Mei-An He
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Min Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie-Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Tang S, Li LX, Peng Q, Yan HL, Cai MH, Li JP, Liu ZY, Wang GD. Correction: First-principles insights into hydrogen trapping in interstitial-vacancy complexes in vanadium carbide. Phys Chem Chem Phys 2022; 24:22332. [PMID: 36098256 DOI: 10.1039/d2cp90165j] [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: 11/21/2022]
Abstract
Correction for 'First-principles insights into hydrogen trapping in interstitial-vacancy complexes in vanadium carbide' by Shuai Tang et al., Phys. Chem. Chem. Phys., 2022, DOI: https://doi.org/10.1039/d2cp02425j.
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Affiliation(s)
- Shuai Tang
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Lin-Xian Li
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Qing Peng
- State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Hai-le Yan
- School of Materials Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Ming-Hui Cai
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China. .,Key Lab of Lightweight Structural Materials, Liaoning Province, Northeastern University, Shenyang, 110819, China
| | - Jian-Ping Li
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Zhen-Yu Liu
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Guo-Dong Wang
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
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21
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Zheng ZR, Ma H, Yang F, Yuan L, Wang GD, Zhao XW, Ma LF. Discoid medial meniscus of both knees: A case report. World J Clin Cases 2022; 10:9020-9027. [PMID: 36157663 PMCID: PMC9477044 DOI: 10.12998/wjcc.v10.i25.9020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 06/29/2022] [Accepted: 07/27/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Discoid meniscus is a congenital anomaly that typically affects the lateral meniscus. The appearance of the discoid medial meniscus in both knees is extremely rare, with an incidence of only 0.012%.
CASE SUMMARY Our patient was a 30-year-old female. Under no obvious predisposing causes, she began to experience pain in both knees, which worsened while walking and squatting. The pain was aggravated after exercise, and joint flexion and extension activities were accompanied by knee snapping. Apley’s test was positive on physical examination, and there was a pressing pain in the medial articular space. Plain radiographs of both knees revealed no obvious abnormalities in the bilateral knee joint space. Partial meniscectomy as well as menisci reformation were performed on both knees under arthroscopy. Under the guidance of rehabilitation, the patient’s range of motion in both knees returned to normal without pain and knee snapping.
CONCLUSION This study showed that the clinical manifestations of the discoid medial meniscus injury are identical to those of the conventional medial meniscus injury, and arthroscopic surgery is effective.
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Affiliation(s)
- Zhong-Ren Zheng
- School of Clinical Medicine, Jining Medical University, Jining 272067, Shandong Province, China
| | - Hui Ma
- Department of Orthopedics, The Affiliated Hospital of Jining Medical University, Jining 272000, Shandong Province, China
| | - Fei Yang
- Department of Orthopedics, The People’s Hospital of Bozhou, Bozhou 236800, Anhui Province, China
| | - Long Yuan
- School of Clinical Medicine, Jining Medical University, Jining 272067, Shandong Province, China
| | - Guo-Dong Wang
- Department of Orthopedics, The Affiliated Hospital of Jining Medical University, Jining 272000, Shandong Province, China
| | - Xiao-Wei Zhao
- Department of Orthopedics, The Affiliated Hospital of Jining Medical University, Jining 272000, Shandong Province, China
| | - Long-Fei Ma
- Department of Orthopedics, The Affiliated Hospital of Jining Medical University, Jining 272000, Shandong Province, China
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22
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Tang S, Li LX, Peng Q, Yan HL, Cai MH, Li JP, Liu ZY, Wang GD. First-principles insights into hydrogen trapping in interstitial-vacancy complexes in vanadium carbide. Phys Chem Chem Phys 2022; 24:20400-20408. [PMID: 35983832 DOI: 10.1039/d2cp02425j] [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: 11/21/2022]
Abstract
Hydrogen trapping is a key factor in designing advanced vanadium alloys and steels, where the influence of carbon vacancies is still elusive. Herein we have investigated the effect of carbon vacancies on the hydrogen trapping of defect-complexes in vanadium carbide using first-principles calculations. When a carbon vacancy is present, the second nearest neighboring trigonal interstitial is a stable hydrogen trapping site. A C vacancy enhances the hydrogen trapping ability by reducing the chemical and mechanical effects on H atom solution energy. Electronic structure analysis shows that C vacancies increase the charge density and the Bader atomic volume, leading to a lower H atom solution energy. The strength of the V-H bond is predominant in determining the hydrogen trapping ability in the presence of a C vacancy, in contrast to that of a C-H bond when the C vacancy is absent.
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Affiliation(s)
- Shuai Tang
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Lin-Xian Li
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Qing Peng
- State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Hai-le Yan
- School of Materials Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Ming-Hui Cai
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China. .,Key Lab of Lightweight Structural Materials, Liaoning Province, Northeastern University, Shenyang, 110819, China
| | - Jian-Ping Li
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Zhen-Yu Liu
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
| | - Guo-Dong Wang
- State Key Lab of Rolling and Automation, Northeastern University, Shenyang 110819, China.
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Cheng SC, Liu CB, Yao XQ, Hu JY, Yin TT, Lim BK, Chen W, Wang GD, Zhang CL, Irwin DM, Zhang ZG, Zhang YP, Yu L. Hologenomic insights into mammalian adaptations to myrmecophagy. Natl Sci Rev 2022; 10:nwac174. [PMID: 37124465 PMCID: PMC10139702 DOI: 10.1093/nsr/nwac174] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 08/05/2022] [Accepted: 08/14/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Highly specialized myrmecophagy (ant- and termite-eating) has independently evolved multiple times in species of various mammalian orders and represents a textbook example of phenotypic evolutionary convergence. We explored the mechanisms involved in this unique dietary adaptation and convergence through multi-omic analyses, including analyses of host genomes and transcriptomes, as well as gut metagenomes, in combination with validating assays of key enzymes’ activities, in the species of three mammalian orders (anteaters, echidnas and pangolins of the orders Xenarthra, Monotremata and Pholidota, respectively) and their relatives. We demonstrate the complex and diverse interactions between hosts and their symbiotic microbiota that provided adaptive solutions for nutritional and detoxification challenges associated with high levels of protein and lipid metabolisms, trehalose degradation, and toxic substance detoxification. Interestingly, we also reveal their spatially complementary cooperation involved in degradation of ants’ and termites’ chitin exoskeletons. This study contributes new insights into the dietary evolution of mammals and the mechanisms involved in the coordination of physiological functions by animal hosts and their gut commensals.
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Affiliation(s)
- Shao-Chen Cheng
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming , China
| | - Chun-Bing Liu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming , China
| | - Xue-Qin Yao
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming , China
| | - Jing-Yang Hu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming , China
| | - Ting-Ting Yin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223 , China
| | - Burton K Lim
- Department of Natural History , Royal Ontario Museum, Toronto , ON, Canada
| | - Wu Chen
- Guangzhou Zoo , Guangzhou , China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223 , China
- Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223 , China
| | | | - David M Irwin
- Department of Laboratory Medicine and Pathobiology, University of Toronto , Toronto , Canada
| | - Zhi-Gang Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming , China
| | - Ya-Ping Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming , China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223 , China
- Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223 , China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming , China
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24
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Hong H, Zhao Z, Huang X, Guo C, Zhao H, Wang GD, Zhang YP, Zhao JP, Shi J, Wu QF, Jiang YH, Wang Y, Li LM, Du Z, Zhang YQ, Xiong Y. Comparative Proteome and Cis-Regulatory Element Analysis Reveals Specific Molecular Pathways Conserved in Dog and Human Brains. Mol Cell Proteomics 2022; 21:100261. [PMID: 35738554 PMCID: PMC9304787 DOI: 10.1016/j.mcpro.2022.100261] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/10/2022] [Accepted: 06/17/2022] [Indexed: 11/25/2022] Open
Abstract
Brain development and function are governed by precisely regulated protein expressions in different regions. To date, multiregional brain proteomes have been systematically analyzed only for adult human and mouse brains. To understand the underpinnings of brain development and function, we generated proteomes from six regions of the postnatal brain at three developmental stages of domestic dogs (Canis familiaris), which are special among animals in terms of their remarkable human-like social cognitive abilities. Quantitative analysis of the spatiotemporal proteomes identified region-enriched synapse types at different developmental stages and differential myelination progression in different brain regions. Through integrative analysis of inter-regional expression patterns of orthologous proteins and genome-wide cis-regulatory element frequencies, we found that proteins related with myelination and hippocampus were highly correlated between dog and human but not between mouse and human, although mouse is phylogenetically closer to human. Moreover, the global expression patterns of neurodegenerative disease and autism spectrum disorder-associated proteins in dog brain more resemble human brain than in mouse brain. The high similarity of myelination and hippocampus-related pathways in dog and human at both proteomic and genetic levels may contribute to their shared social cognitive abilities. The inter-regional expression patterns of disease-associated proteins in the brain of different species provide important information to guide mechanistic and translational study using appropriate animal models.
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Affiliation(s)
- Huilin Hong
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Zhiguang Zhao
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, China
| | - Xiahe Huang
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Chao Guo
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Hui Zhao
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | | | - Jianhui Shi
- National Center of Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China; School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Qing-Feng Wu
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, China
| | - Yong-Hui Jiang
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Yingchun Wang
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, China
| | - Lei M Li
- National Center of Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China; School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Zhuo Du
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, China
| | - Yong Q Zhang
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, China.
| | - Ying Xiong
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
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Zhou QJ, Liu X, Zhang L, Wang R, Yin T, Li X, Li G, He Y, Ding Z, Ma P, Wang SZ, Mao B, Zhang S, Wang GD. A single-nucleus transcriptomic atlas of the dog hippocampus reveals the potential relationship between specific cell types and domestication. Natl Sci Rev 2022; 9:nwac147. [PMID: 36569494 PMCID: PMC9772819 DOI: 10.1093/nsr/nwac147] [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: 03/16/2022] [Revised: 06/28/2022] [Accepted: 07/09/2022] [Indexed: 12/27/2022] Open
Abstract
The process of domestication has led to dramatic differences in behavioral traits between domestic dogs and gray wolves. Whole-genome research found that a class of putative positively selected genes were related to various aspects of learning and memory, such as long-term potentiation and long-term depression. In this study, we constructed a single-nucleus transcriptomic atlas of the dog hippocampus to illustrate its cell types, cell lineage and molecular features. Using the transcriptomes of 105 057 nuclei from the hippocampus of a Beagle dog, we identified 26 cell clusters and a putative trajectory of oligodendrocyte development. Comparative analysis revealed a significant convergence between dog differentially expressed genes (DEGs) and putative positively selected genes (PSGs). Forty putative PSGs were DEGs in glutamatergic neurons, especially in Cluster 14, which is related to the regulation of nervous system development. In summary, this study provides a blueprint to understand the cellular mechanism of dog domestication.
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Affiliation(s)
| | | | | | - Rong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China,College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Tingting Yin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Xiaolu Li
- Genomic Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Guimei Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Yuqi He
- Genomic Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Zhaoli Ding
- Genomic Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Pengcheng Ma
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Shi-Zhi Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
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26
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Guo L, Wang YY, Wang JH, Zhao HP, Yu Y, Wang GD, Dai K, Yan YZ, Yang YJ, Lv J. Associations of gut microbiota with dyslipidemia based on sex differences in subjects from Northwestern China. World J Gastroenterol 2022; 28:3455-3475. [PMID: 36158270 PMCID: PMC9346449 DOI: 10.3748/wjg.v28.i27.3455] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/17/2022] [Accepted: 06/20/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The gut microbiota (GM) has been proven to play a role in the regulation of host lipid metabolism, which provides a new theory about the pathogenesis of dyslipidemia. However, the associations of GM with dyslipidemia based on sex differences remain unclear and warrant elucidation.
AIM To investigate the associations of GM features with serum lipid profiles based on sex differences in a Chinese population.
METHODS This study ultimately recruited 142 participants (73 females and 69 males) at Honghui Hospital, Xi’an Jiaotong University. The anthropometric and blood metabolic parameters of all participants were measured. According to their serum lipid levels, female and male participants were classified into a high triglyceride (H_TG) group, a high total cholesterol (H_CHO) group, a low high-density lipoprotein cholesterol (L_HDL-C) group, and a control (CON) group with normal serum lipid levels. Fresh fecal samples were collected for 16S rRNA gene sequencing. UPARSE software, QIIME software, the RDP classifier and the FAPROTAX database were used for sequencing analyses.
RESULTS The GM composition at the phylum level included Firmicutes and Bacteroidetes as the core GM. Different GM features were identified between females and males, and the associations between GM and serum lipid profiles were different in females and males. The GM features in different dyslipidemia subgroups changed in both female patients and male patients. Proteobacteria, Lactobacillaceae, Lactobacillus and Lactobacillus_salivarius were enriched in H_CHO females compared with CON females, while Coriobacteriia were enriched in L_HDL-C females. In the comparison among the three dyslipidemia subgroups in females, Lactobacillus_salivarius were enriched in H_CHO females, and Prevotellaceae were enriched in L_HDL-C females. Compared with CON or H_TG males, Prevotellaceae, unidentified_Ruminococcaceae, Roseburia and Roseburia_inulinivorans were decreased in L_HDL-C males (P value < 0.05), and linear discriminant analysis effect size analysis indicated an enrichment of the above GM taxa in H_TG males compared with other male subgroups. Additionally, Roseburia_inulinivorans abundance was positively correlated with serum TG and total cholesterol levels, and Roseburia were positively correlated with serum TG level. Furthermore, Proteobacteria (0.724, 95%CI: 0.567-0.849), Lactobacillaceae (0.703, 95%CI: 0.544-0.832), Lactobacillus (0.705, 95%CI: 0.547-0.834) and Lactobacillus_salivarius (0.706, 95%CI: 0.548-0.835) could distinguish H_CHO females from CON females, while Coriobacteriia (0.710, 95%CI: 0.547-0.841), Coriobacteriales (0.710, 95%CI: 0.547-0.841), Prevotellaceae (0.697, 95%CI: 0.534-0.830), Roseburia (0.697, 95%CI: 0.534-0.830) and Roseburia_inulinivorans (0.684, 95%CI: 0.520-0.820) could discriminate H_TG males from CON males. Based on the predictions of GM metabolic capabilities with the FAPROTAX database, a total of 51 functional assignments were obtained in females, while 38 were obtained in males. This functional prediction suggested that cellulolysis increased in L_HDL-C females compared with CON females, but decreased in L_HDL-C males compared with CON males.
CONCLUSION This study indicates associations of GM with serum lipid profiles, supporting the notion that GM dysbiosis may participate in the pathogenesis of dyslipidemia, and sex differences should be considered.
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Affiliation(s)
- Lei Guo
- Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, Shaanxi Province, China
| | - Yang-Yang Wang
- School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, Shaanxi Province, China
| | - Ji-Han Wang
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, Shaanxi Province, China
| | - He-Ping Zhao
- Department of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, Shaanxi Province, China
| | - Yan Yu
- Department of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, Shaanxi Province, China
| | - Guo-Dong Wang
- Department of Quality Control, Xi’an Mental Health Center, Xi'an 710100, Shaanxi Province, China
| | - Kun Dai
- Department of Clinical Laboratory, Yanliang Railway Hospital of Xi’an, Xi'an 710089, Shaanxi Province, China
| | - Yu-Zhu Yan
- Department of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, Shaanxi Province, China
| | - Yan-Jie Yang
- Department of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China
| | - Jing Lv
- Department of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, Shaanxi Province, China
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Ma P, Liu X, Xu Z, Liu H, Ding X, Huang Z, Shi C, Liang L, Xu L, Li X, Li G, He Y, Ding Z, Chai C, Wang H, Qiu J, Zhu J, Wang X, Ding P, Zhou S, Yuan Y, Wu W, Wan C, Yan Y, Zhou Y, Zhou QJ, Wang GD, Zhang Q, Xu X, Li G, Zhang S, Mao B, Chen D. Joint profiling of gene expression and chromatin accessibility during amphioxus development at single-cell resolution. Cell Rep 2022; 39:110979. [PMID: 35732129 DOI: 10.1016/j.celrep.2022.110979] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/21/2022] [Accepted: 05/27/2022] [Indexed: 11/03/2022] Open
Abstract
Vertebrate evolution was accompanied by two rounds of whole-genome duplication followed by functional divergence in terms of regulatory circuits and gene expression patterns. As a basal and slow-evolving chordate species, amphioxus is an ideal paradigm for exploring the origin and evolution of vertebrates. Single-cell sequencing has been widely used to construct the developmental cell atlas of several representative species of vertebrates (human, mouse, zebrafish, and frog) and tunicates (sea squirts). Here, we perform single-nucleus RNA sequencing (snRNA-seq) and single-cell assay for transposase accessible chromatin sequencing (scATAC-seq) for different stages of amphioxus (covering embryogenesis and adult tissues). With the datasets generated, we constructed a developmental tree for amphioxus cell fate commitment and lineage specification and characterize the underlying key regulators and genetic regulatory networks. The data are publicly available on the online platform AmphioxusAtlas.
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Affiliation(s)
- Pengcheng Ma
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Xingyan Liu
- Academy of Mathematics and Systems Science, Chinese Academy of Science, Beijing 100190, China; School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zaoxu Xu
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huimin Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiangan District, Xiamen, Fujian 361102, China
| | - Xiangning Ding
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhen Huang
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, 350117 Fujian, China; Fuzhou Institute of Oceanography, Minjiang University, Fuzhou 350108, China; Fujian Key Laboratory on Conservation and Sustainable Utilization of Marine Biodiversity, Minjiang University, Fuzhou 350108, China
| | - Chenggang Shi
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiangan District, Xiamen, Fujian 361102, China
| | - Langchao Liang
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Luohao Xu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, China
| | - Xiaolu Li
- Genome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, China
| | - Guimei Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Yuqi He
- Genome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, China
| | - Zhaoli Ding
- Genome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, China
| | - Chaochao Chai
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haoyu Wang
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiaying Qiu
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiacheng Zhu
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | | | - Peiwen Ding
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Si Zhou
- BGI-Shenzhen, Shenzhen 518083, China
| | | | - Wendi Wu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Cen Wan
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, 350117 Fujian, China
| | - Yanan Yan
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, 350117 Fujian, China
| | - Yitao Zhou
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, 350117 Fujian, China
| | - Qi-Jun Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Genome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Qiujin Zhang
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, 350117 Fujian, China.
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China.
| | - Guang Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiangan District, Xiamen, Fujian 361102, China.
| | - Shihua Zhang
- Academy of Mathematics and Systems Science, Chinese Academy of Science, Beijing 100190, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China.
| | - Bingyu Mao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
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Liu J, Wu X, Xu C, Ma M, Zhao J, Li M, Yu Q, Hao X, Wang G, Wei B, Xia N, Dong Q. A Novel Method for Observing Tumor Margin in Hepatoblastoma Based on Microstructure 3D Reconstruction. Fetal Pediatr Pathol 2022; 41:371-380. [PMID: 32969743 DOI: 10.1080/15513815.2020.1822965] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Objective: We investigated three-dimensional (3 D) reconstruction for the assessment of the tumor margin microstructure of hepatoblastoma (HB). Methods: Eleven surgical resections of childhood hepatoblastomas obtained between September 2018 and December 2019 were formalin-fixed, paraffin-embedded, serially sectioned at 4 μm, stained with hematoxylin and eosin (every 19th and 20th section stained with alpha-fetoprotein and glypican 3), and the digital images of all sections were acquired at 100× followed by image registration using the B-spline based method with modified residual complexity. Reconstruction was performed using 3 D Slicer software. Results: The reconstructed orthogonal 3 D images clearly presented the internal microstructure of the tumor margin. The rendered 3 D image could be rotated at any angle. Conclusions: Microstructure 3 D reconstruction is feasible for observing the pathological structure of the HB tumor margin.
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Affiliation(s)
- Jie Liu
- Department of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China.,Department of Pediatric Surgery, Yijishan Hospital of Wannan Medical College, Wannan Medical College, Wuhu 246400, China
| | - XiongWei Wu
- Department of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - Chongzhi Xu
- College of Computer Science and Technology, Qingdao University, Qingdao 266000, China
| | - Mingdi Ma
- Department of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - Jie Zhao
- Shandong Provincial Key Laboratory of Digital Medicine and Computer-assisted Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - Min Li
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - QiYue Yu
- Shandong Provincial Key Laboratory of Digital Medicine and Computer-assisted Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - XiWei Hao
- Department of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - GuoDong Wang
- College of Computer Science and Technology, Qingdao University, Qingdao 266000, China
| | - Bin Wei
- Shandong Provincial Key Laboratory of Digital Medicine and Computer-assisted Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - Nan Xia
- Shandong Provincial Key Laboratory of Digital Medicine and Computer-assisted Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - Qian Dong
- Department of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
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29
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Jiang Z, Zhang C, Qin JJ, Wang GD, Wang HS. Posterior pilon fracture treated by opening the fibula fracture gap. J Orthop Surg Res 2022; 17:214. [PMID: 35392983 PMCID: PMC8991660 DOI: 10.1186/s13018-022-03106-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 03/29/2022] [Indexed: 11/10/2022] Open
Abstract
Background Posterior pilon fracture is a relatively common clinical fracture involving the posterior articular surface of the distal tibia. Currently, this form of fracture is receiving increasing attention. The surgical approach and technique for the treatment of posterior pilon fractures are still controversial. The purpose of this retrospective study was to compare the clinical and imaging outcomes of pilon fractures after treatment with the open fibula fracture line (OFFL) surgical technique versus the traditional posterolateral approach (TPL). Methods A retrospective analysis of patients with posterior pilon fractures treated using the open fibula fracture line technique and the traditional posterolateral approach between January 2015 and March 2020. Thirty-one cases were included in the open fibula fracture line technique group and twenty-eight cases were included in the traditional posterolateral approach group. We used the Burwell-Charnley scale to assess the effectiveness of surgical repositioning. The clinical outcomes were evaluated using American Orthopaedic Foot & Ankle Society ankle-hind foot score (AOFAS) and visual analog score (VAS). Results The overall anatomic reduction rate was slightly better in the open fibula fracture line group than in the conventional posterolateral group (81% vs. 71%, p = 0.406), but there was no statistically significant difference between the two groups. There were no statistically significant differences between the two groups in terms of fracture healing time and time to full weight bearing (p > 0.05). At the final follow-up, the AOFAS functional score of the open fibula fracture line group was statistically superior to that of the conventional posterolateral group (p < 0.05). However, there was no statistical difference between the two groups in VAS pain scores at rest, during activity, and under weight bearing (p > 0.05). Conclusion The trans-fibular fracture approach provides a better surgical option for specific types of posterior pilon fractures with a high rate of anatomic repositioning and a good near-term outcome. Trial registration: Retrospective registration.
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Affiliation(s)
- Zhuang Jiang
- Orthopaedic Department, General Hospital of Central Theater Command of PLA, #627 Wuluo Road, Wuchang District, Wuhan, 430070, China.,Clinical Medicine, Wuhan University of Science and Technology, #2, West Huangjiahu Road, Hongshan District, Wuhan, 430081, China
| | - Chen Zhang
- Orthopaedic Department, General Hospital of Central Theater Command of PLA, #627 Wuluo Road, Wuchang District, Wuhan, 430070, China
| | - Jia-Jun Qin
- Orthopaedic Department, General Hospital of Central Theater Command of PLA, #627 Wuluo Road, Wuchang District, Wuhan, 430070, China
| | - Guo-Dong Wang
- Orthopaedic Department, General Hospital of Central Theater Command of PLA, #627 Wuluo Road, Wuchang District, Wuhan, 430070, China.
| | - Hua-Song Wang
- Orthopaedic Department, General Hospital of Central Theater Command of PLA, #627 Wuluo Road, Wuchang District, Wuhan, 430070, China.
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30
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Dong J, Wang GD, Wang HZ. Clinical analysis of patients with respiratory failure after esophageal cancer operation. Transl Cancer Res 2022; 10:5238-5245. [PMID: 35116373 PMCID: PMC8799240 DOI: 10.21037/tcr-21-1505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/04/2021] [Indexed: 11/06/2022]
Abstract
Background To explore the clinical profiles and outcomes of patients with acute respiratory failure (ARF) after esophagectomy. Methods We retrospectively analyzed cases of patients who had been diagnosed with ARF after esophagectomy and compared survivors with non-survivors to explore the risks that may affect their outcomes. Results In total, 62 patients were admitted to the intensive care unit (ICU) with ARF after esophagectomy between January 1, 2010, and December 31, 2017. Of these patients, 69.4% needed mechanical ventilation, with an average time on the ventilator of 304 hours (304.33±374.37 hours). The average length of stay in the ICU and in the hospital were 14 days (14.48±17.64 days) and 50 days (50.15±37.28 days), respectively. Mortality in the ICU and 90 days after the operation was 6.5% and 16.1%, respectively. Compared with the survivors, the 90-day post-operative non-survivors had a poorer N stage in the TNM classification system. The causes of ARF included anastomotic leakage, pneumonia, vocal cord paralysis, sputum plugging, pulmonary embolism (PE), and acute respiratory distress syndrome (ARDS). ARF induced by different factors occurred at different times and had different outcomes. The three most common reasons for mortality in the ICU were ARDS (33.33%), anastomotic leakage (11.76%), and pneumonia (10%). The three most common reasons for mortality in the 90-day post-operative period were pneumonia (40%), anastomotic leakage (23.53%), and ARDS and acute exacerbations of chronic obstructive pulmonary disease (AECOPD) (33.33%). Conclusions Anastomotic leakage, pneumonia, ARDS, and AECOPD were the main causes of death in ARF patients after esophagectomy. We found that the N stage in the TNM classification system may affect 90-day post-operative mortality in these patients.
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Affiliation(s)
- Jun Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Intensive Care Unit, Peking University Cancer Hospital & Institute, Beijing, China
| | - Guo-Dong Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Intensive Care Unit, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hong-Zhi Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Intensive Care Unit, Peking University Cancer Hospital & Institute, Beijing, China
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Liu J, Ma W, Zang CH, Wang GD, Zhang SJ, Wu HJ, Zhu KW, Xiang XL, Li CY, Liu KP, Guo JH, Li LY. Salidroside inhibits NLRP3 inflammasome activation and apoptosis in microglia induced by cerebral ischemia/reperfusion injury by inhibiting the TLR4/NF-κB signaling pathway. Ann Transl Med 2022; 9:1694. [PMID: 34988203 PMCID: PMC8667139 DOI: 10.21037/atm-21-5752] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 11/22/2021] [Indexed: 02/05/2023]
Abstract
Background The NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome is an important mediator of neuroinflammatory responses that regulates inflammatory injury following cerebral ischemia and may be a potential target. Salidroside (Sal) has good anti-inflammatory effects; however, it remains unclear whether Sal can regulate NLRP3 inflammasome activation through the Toll-like receptor 4 (TLR4)/nuclear factor kappa B (NF-κB) signaling pathway after cerebral ischemia to alleviate inflammatory injury. Methods We established an oxygen-glucose deprivation and reoxygenation (OGD/R) model of BV2 cells and a middle cerebral artery occlusion/reperfusion (MCAO/R) rat model. Cell Counting Kit-8 (CCK-8), flow cytometry and terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) assay were used to detect the viability and apoptosis of BV2 cells. Enzyme-linked immunosorbent assay (ELISA) was used to detect the level of inflammatory factors. 2,3,5-triphenyltetrazolium chloride (TTC) staining and modified Neurological Severity Score (mNSS) were used to detect cerebral infarction volume and neurological deficit in rats. Western blot, immunohistochemistry and immunofluorescence staining were used to detect the protein expression levels. Results Our results showed that Sal increased viability, inhibited lactate dehydrogenase (LDH) release, and reduced apoptosis in OGD/R-induced BV2 cells. Sal reduced the levels of tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-8. Following induction by OGD/R, BV2 cells exhibited NLRP3 inflammasome activation and increased protein levels of NLRP3, apoptosis-associated speck-like protein containing a CARD (ASC), caspase-1, IL-1β, and IL-18. Protein levels of key TLR4 signaling pathway elements, such as TLR4, myeloid differentiation primary response 88 (MyD88), and phosphorylated nuclear factor kappa B p65 (p-NF-κB p65)/NF-κB p65 were upregulated. Interestingly, it was revealed that Sal could reverse these changes. In addition, TAK242, a specific inhibitor of TLR4, had the same effect as Sal treatment on BV2 cells following induction by OGD/R. In the MCAO/R rat model, Sal was also observed to inhibit NLRP3 inflammasome activation in microglia, reduce cerebral infarction volume, and inhibit apoptosis. Conclusions In summary, we found that Sal inhibited NLRP3 inflammasome activation and apoptosis in microglia induced by cerebral ischemia/reperfusion injury by inhibiting the TLR4/NF-κB signaling pathway, thus playing a protective role. Therefore, Sal may be a promising drug for the clinical treatment of ischemic stroke.
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Affiliation(s)
- Jie Liu
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Wei Ma
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Cheng-Hao Zang
- Second Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, China
| | - Guo-Dong Wang
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Si-Jia Zhang
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Hong-Jie Wu
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Ke-Wei Zhu
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Xiang-Lin Xiang
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Chun-Yan Li
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Kuang-Pin Liu
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Jian-Hui Guo
- Second Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, China
| | - Li-Yan Li
- Institute of Neuroscience, Kunming Medical University, Kunming, China
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Ma W, Li CY, Zhang SJ, Zang CH, Yang JW, Wu Z, Wang GD, Liu J, Liu W, Liu KP, Liang Y, Zhang XK, Li JJ, Guo JH, Li LY. Neuroprotective effects of long noncoding RNAs involved in ischemic postconditioning after ischemic stroke. Neural Regen Res 2021; 17:1299-1309. [PMID: 34782575 PMCID: PMC8643058 DOI: 10.4103/1673-5374.327346] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
During acute reperfusion, the expression profiles of long noncoding RNAs in adult rats with focal cerebral ischemia undergo broad changes. However, whether long noncoding RNAs are involved in neuroprotective effects following focal ischemic stroke in rats remains unclear. In this study, RNA isolation and library preparation was performed for long noncoding RNA sequencing, followed by determining the coding potential of identified long noncoding RNAs and target gene prediction. Differential expression analysis, long noncoding RNA functional enrichment analysis, and co-expression network analysis were performed comparing ischemic rats with and without ischemic postconditioning rats. Rats were subjected to ischemic postconditioning via the brief and repeated occlusion of the middle cerebral artery or femoral artery. Quantitative real-time reverse transcription-polymerase chain reaction was used to detect the expression levels of differentially expressed long noncoding RNAs after ischemic postconditioning in a rat model of ischemic stroke. The results showed that ischemic postconditioning greatly affected the expression profile of long noncoding RNAs and mRNAs in the brains of rats that underwent ischemic stroke. The predicted target genes of some of the identified long noncoding RNAs (cis targets) were related to the cellular response to ischemia and stress, cytokine signal transduction, inflammation, and apoptosis signal transduction pathways. In addition, 15 significantly differentially expressed long noncoding RNAs were identified in the brains of rats subjected to ischemic postconditioning. Nine candidate long noncoding RNAs that may be related to ischemic postconditioning were identified by a long noncoding RNA expression profile and long noncoding RNA-mRNA co-expression network analysis. Expression levels were verified by quantitative real-time reverse transcription-polymerase chain reaction. These results suggested that the identified long noncoding RNAs may be involved in the neuroprotective effects associated with ischemic postconditioning following ischemic stroke. The experimental animal procedures were approved by the Animal Experiment Ethics Committee of Kunming Medical University (approval No. KMMU2018018) in January 2018.
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Affiliation(s)
- Wei Ma
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Chun-Yan Li
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Si-Jia Zhang
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Cheng-Hao Zang
- Second Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Jin-Wei Yang
- Second Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Zhen Wu
- Second Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Guo-Dong Wang
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Jie Liu
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Wei Liu
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Kuang-Pin Liu
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Yu Liang
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Xing-Kui Zhang
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Jun-Jun Li
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
| | - Jian-Hui Guo
- Second Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Li-Yan Li
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China
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Li JX, Huang QG, Wang SZ, Zhou QJ, Gao X, Zhang YP, Wang GD. Behavioral evidence for the origin of Chinese Kunming dog. Curr Zool 2021; 67:469-471. [PMID: 34616944 PMCID: PMC8489011 DOI: 10.1093/cz/zoaa081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 12/24/2020] [Indexed: 11/15/2022] Open
Affiliation(s)
- Jin-Xiu Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Qing-Guo Huang
- Kunming Police Dog Base of the Chinese Ministry of Public Security, Kunming, 650204, China
| | - Shi-Zhi Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Qi-Jun Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Xu Gao
- Harbin Police Dog Training Centre, Heilongjiang General Station of Exit and Entry Frontier Inspection, Harbin, 150000, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
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Cheng H, Wang GD, Li T, Liu XY, Sun JM. Radiographic and clinical outcomes of surgical treatment of Kümmell's disease with thoracolumbar kyphosis: a minimal two-year follow-up. BMC Musculoskelet Disord 2021; 22:761. [PMID: 34488716 PMCID: PMC8419987 DOI: 10.1186/s12891-021-04640-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 08/21/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Up to now in the surgical treatment of Kümmell's disease combined with thoracolumbar kyphosis, little research has focused on the evaluation of the imaging and clinical outcomes of restoring the normal alignment and sagittal balance of the spine. This study aimed to evaluate the short to mid-term radiographic and clinical outcomes in the treatment of Kümmell's disease with thoracolumbar kyphosis. METHODS From February 2016 to May 2018, 30 cases of Kümmell's disease with thoracolumbar kyphosis were divided into group A and B according to whether the kyphosis was combined with neurological deficits. All of the cases underwent surgical treatment to regain the normal spinal alignment and sagittal balance. The radiographic outcomes and clinical outcomes of the cases were retrospectively evaluated. The sagittal imaging parameters including sagittal vertebral axis (SVA),thoracic kyphosis (TK),thoracolumbar kyphosis (TLK),lumbar lordosis (LL),pelvic incidence (PI),pelvic tilt (PT),and sacral slope (SS) before operation,immediately after operation,and the last follow-up of each case were measured and evaluated. The clinical results included the Oswestry Disability Index (ODI) and the Numerical Rating Scale (NRS) of the two groups. Statistical software SPSS21.0 was used to analyze the data. RESULTS In group A: Mean SVA before operation was 75 mm and 26.7 mm at the final postoperative evaluation (P = 0.000); Mean TLK before operation was 39°, and 7.1° at the final postoperative evaluation (P = 0.000); Mean NRS before operation was 4.7, compared with 0.9 at the final postoperative evaluation (P = 0.000). In group B: Mean preoperative SVA was 62.5 mm and decreases to 30.7 mm at the final postoperative evaluation (P = 0.000); Mean TLK before operation was 33°, and 9.7° 2 years post-operation (P = 0.000); Mean NRS prior to surgery was 4.0, and 0.8 at the last follow-up evaluation (P = 0.000). The improvement of the NRS scores of groups A and B was related to the improvement of the cobb angle (P = 0.020); (P = 0.009) respectively. CONCLUSION In the treatment of Kümmell's disease with thoracolumbar kyphosis,to restore the normal alignment and sagittal balance can obtain a satisfactory radiographic and clinical short and medium-term effects.
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Affiliation(s)
- Hao Cheng
- Department of Spine Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Department of Spine Surgery, Jinhua Municipal Central Hospital, Jinhua, Zhejiang, China
| | - Guo-Dong Wang
- Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Tao Li
- Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiao-Yang Liu
- Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jian-Min Sun
- Department of Spine Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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Luo T, He SJ, Chen SR, Wang TL, Huang CJ, Wang DP, Ju WQ, Zhao Q, Chen MG, Chen YH, Hu AB, Ma Y, Wang GD, Zhu XF, Huang SW, Guo ZY, He XS. Prediction of post-transplant graft survival by different definitions of early allograft dysfunction. Ann Palliat Med 2021; 10:8584-8595. [PMID: 34379984 DOI: 10.21037/apm-21-1012] [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] [Received: 04/24/2021] [Accepted: 07/07/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND The efficacy of early allograft dysfunction (EAD) definitions in predicting post-transplant graft survival in a Chinese population is still unclear. METHODS A total of 607 orthotopic liver transplants (OLT) have been included in the current study. Model accuracy was evaluated using receiver operating characteristic (ROC) analysis. Risk factors for EAD was evaluated using univariable analysis and multivariable logistic regression model. RESULTS The 3-, 6-, and 12-month patient/graft survival were 91.6%/91.4%, 91.1%/90%, and 87.5%/87.3%, respectively. MELDPOD5 had a superior discrimination of 3-month graft survival (C statistic, 0.83), compared with MEAF (C statistic, 0.77) and Olthoff criteria (C statistic, 0.72). Multivariate analysis of risk factors for EAD defined by MELDPOD5, showed that donor body mass index (P=0.001), donor risk index (P=0.006), intraoperative use of packed red blood cells (P=0.001), hypertension of recipient (P=0.004), and preoperative total bilirubin (P<0.001) were independent risk factors. CONCLUSIONS The results suggest that MLEDPOD5 is a better criterion of EAD for the Chinese population, which might serve as a surrogate end-point for graft survival in clinical study.
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Affiliation(s)
- Tao Luo
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Shu-Jiao He
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Shi-Rui Chen
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Tie-Long Wang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Chang-Jun Huang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Dong-Ping Wang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Wei-Qiang Ju
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Qiang Zhao
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Mao-Gen Chen
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Ying-Hua Chen
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - An-Bin Hu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Yi Ma
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Guo-Dong Wang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Xiao-Feng Zhu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Shun-Wei Huang
- Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhi-Yong Guo
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
| | - Xiao-Shun He
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China
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Liu YH, Wang L, Zhang Z, Otecko NO, Khederzadeh S, Dai Y, Liang B, Wang GD, Zhang YP. Whole-genome sequencing reveals lactase persistence adaptation in European dogs. Mol Biol Evol 2021; 38:4884-4890. [PMID: 34289055 PMCID: PMC8557436 DOI: 10.1093/molbev/msab214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Coexistence and cooperation between dogs and humans over thousands of years have supported convergent evolutionary processes in the two species. Previous studies found that Eurasian dogs evolved into a distinct geographic cluster. In this study, we used the genomes of 242 European dogs, 38 Southeast Asian indigenous (SEAI) dogs, and 41 gray wolves to identify adaptation of European dogs . We report 86 unique positively selected genes in European dogs, among which is LCT (lactase). LCT encodes lactase, which is fundamental for the digestion of lactose. We found that an A-to-G mutation (chr19:38,609,592) is almost fixed in Middle Eastern and European dogs. The results of two-dimensional site frequency spectrum (2D SFS) support that the mutation is under soft sweep . We inferred that the onset of positive selection of the mutation is shorter than 6,535 years and behind the well-developed dairy economy in central Europe. It increases the expression of LCT by reducing its binding with ZEB1, which would enhance dog’s ability to digest milk-based diets. Our study uncovers the genetic basis of convergent evolution between humans and dogs with respect to diet, emphasizing the import of the dog as a biomedical model for studying mechanisms of the digestive system.
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Affiliation(s)
- Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Lu Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, and School of Life Sciences, Yunnan University, Kunming, Yunnan, China
| | - Zhiguo Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Newton O Otecko
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Saber Khederzadeh
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yongqin Dai
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, and School of Life Sciences, Yunnan University, Kunming, Yunnan, China
| | - Bin Liang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, and School of Life Sciences, Yunnan University, Kunming, Yunnan, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Corresponding authors: E-mails: ; ;
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- Corresponding authors: E-mails: ; ;
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, and School of Life Sciences, Yunnan University, Kunming, Yunnan, China
- Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- Corresponding authors: E-mails: ; ;
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Zhai RC, Li NC, Liu XD, Zhu SK, Hu BF, Zhang AN, Tong X, Wang GD, Wan YJ, Ma Y. [Discussion of grading method of small opacity profusion of pneumoconiosis on CT scans and the corresponding reference images]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:453-457. [PMID: 34218566 DOI: 10.3760/cma.j.cn121094-20200917-00537] [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 explore the CT grading method of small opacity profusion of pneumoconiosis, and draw up the corresponding CT reference film. Methods: In December 2019, Three hundred thirty-seven cases of pneumoconosis and suspected pneumoconiosis were examined by chest radiography and Computed Tomography (CT) in the same period. According to Diagnosis of Occupational Pneumoconiosis (GBZ 70-2015) , small opacity profusion of pneumoconiosis in each zone of lung was divided. On CT scans, it was divided into 5 grades of 0, 0+, 1, 2 and 3. Grade 0 corresponded to Sub-grade 0/- and Sub-grade 0/0 of Grade 0 in chest radiograph. Grade 0+ was equivalent to Sub-grade 0/1 of Grade 0. Grade 1, 2, 3 were equivalent to Grade 1, 2 and 3, respectively (including each sub-grade) . The CT image quality of each zone of lung was divided into 1 to 4 levels. Results of level 4 were not included in statistical analyses.Based on the results of small opacity profusion in each zone of lung, consistency analysis was performed between chest radiograph and CT. The selection method of reference films was developed. Based on the types and grades of small opacity, the final reference films were determined. Results: There were 1877 zones of lung with CT image quality from level 1 to 3, including 335 in upper right, 319 in middle right, 284 in lower right, 334 in upper left, 320 in middle left and 286 in lower left. The Kappa values of small opacity profusion in upper right zone, upper left zone, left middle zone, and lower left zone were all between 0.4-0.75. In middle right zone and lower right zone, they were all above 0.75.Among all 6 zones of lung, the diagnostic concordance rates between CT and chest radiograph were all above 80%.The corresponding CT reference films were proposed, including type p and q in Grade 2 and 3, type r in Grade 2, type s and t in Grade 0+ to 3. Conclusion: The CT grading method for small opacity profusion of pneumoconiosis is feasible, and the application value of its reference films needs to be further verified.
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Affiliation(s)
- R C Zhai
- Medical Imaging Center, Tongling Municipal Hospital, Tongling 244000, China
| | - N C Li
- Medical Imaging Center, Tongling Municipal Hospital, Tongling 244000, China
| | - X D Liu
- Medical Imaging Center, Tongling Municipal Hospital, Tongling 244000, China
| | - S K Zhu
- Medical Imaging Center, Tongling Municipal Hospital, Tongling 244000, China
| | - B F Hu
- Medical Imaging Center, Tongling Municipal Hospital, Tongling 244000, China
| | - A N Zhang
- Medical Imaging Center, Tongling Municipal Hospital, Tongling 244000, China
| | - X Tong
- Tongling Municipal Hospital Shicheng Hospital, Tongling 244000, China
| | - G D Wang
- Tongling Municipal Hospital Shicheng Hospital, Tongling 244000, China
| | - Y J Wan
- Tongling Municipal Hospital Shicheng Hospital, Tongling 244000, China
| | - Y Ma
- Medical Imaging Center, Tongling Municipal Hospital, Tongling 244000, China
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Wang M, Li XL, Dong YM, Wang SZ, Liu B, Jiang M, Wang GD. [Plant species diversity of Carex peat mire in Changbai Mountains, China]. Ying Yong Sheng Tai Xue Bao 2021; 32:2138-2146. [PMID: 34212620 DOI: 10.13287/j.1001-9332.202106.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
We investigated the plant species richness both in cespitose Carex mires (C. schmidtii, C. meyeriana) and non-cespitose Carex mire (C. lasiocarpa) in Changbai Mountain. A total of 83 species (36 families, 59 genuses) was recorded in three sites. Among which, 71 species occurred in the C. meyeriana site, 61 species in the C. schmidtii site, and 26 species in the C. lasiocarpa site. The total species number and species richness in the two cespitose Carex mires were much higher than that in the non-cespitose Carex mire, while those on tussocks were much higher than between tussocks in the two cespitose Carex mires. Plant species richness on tussocks was positively related to the height, basal circumference and surface area of the tussocks, suggesting that tussocks were important for plant species diversity in Carex mires. Results of the canonical correspondence analysis indicated that the differences in soil water content, nutrient (soil organic carbon, total N, total P and C/N), and litter layer depth were the main factors influencing the differences of plant community composition on tussocks and between-tussocks. In the cespitose Carex mires, the hummock-hollow microtopography could foster high diversity by increasing surface area and creating multiple micro-habitats. Given its function in maintaining high species diversity, cespitose Carex could be a preferred species for vegetation restoration in degraded peat mires.
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Affiliation(s)
- Ming Wang
- Institute for Peat and Mire Research, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China.,Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, Changchun 130024, China.,Jilin Provincial Key Laboratory for Wetland Ecological Processes and Environmental Change in the Changbai Mountains, Changchun 130024, China
| | - Xing-Li Li
- Institute for Peat and Mire Research, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
| | - Yan-Min Dong
- Institute for Peat and Mire Research, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
| | - Sheng-Zhong Wang
- Institute for Peat and Mire Research, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China.,Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, Changchun 130024, China.,Jilin Provincial Key Laboratory for Wetland Ecological Processes and Environmental Change in the Changbai Mountains, Changchun 130024, China
| | - Bo Liu
- Jilin Provincial Key Laboratory for Wetland Ecological Processes and Environmental Change in the Changbai Mountains, Changchun 130024, China.,Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Ming Jiang
- Jilin Provincial Key Laboratory for Wetland Ecological Processes and Environmental Change in the Changbai Mountains, Changchun 130024, China.,Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Guo-Dong Wang
- Jilin Provincial Key Laboratory for Wetland Ecological Processes and Environmental Change in the Changbai Mountains, Changchun 130024, China.,Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
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Xu Q, Tang PP, Wang XJ, Mao JF, Xu AJ, Li HM, Wang GD, Zhang JB. [Origin and development of HUA Tuo's acupuncturing sensation technique]. Zhongguo Zhen Jiu 2021; 41:570-4. [PMID: 34002576 DOI: 10.13703/j.0255-2930.20200328-k0003] [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: 11/06/2022]
Abstract
Based on HUA Tuo's personal experience, teaching experience, works as well as ancient books of similar times, this paper discusses the origin and development of HUA Tuo's acupuncturing sensation technique, and analyzes the reasons why this technology has been lost. The formation of this technique is influenced by the descriptions of "regulating qi " "arrival of qi " and "reaching qi" in Neijing (Internal Canon of Medicine) and Nanjing, and combines with the clinical summary of conduction direction and specific position of acupuncturing sensation. Due to HUA Tuo's personal experience, the inheritance characteristics of acupuncture technology and the background of his times, this technology may have been lost, but it still affects the acupuncture concept and practice of "qi reaching affected area" in later generations.
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Affiliation(s)
- Qian Xu
- College of Acupuncture-Moxibustion and Tuina, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu Province, China
| | - Ping-Ping Tang
- Department of Acupuncture-Moxibustion and Rehabilitation, Affiliated Hospital of Nanjing University of Chinese Medicine
| | - Xin-Jun Wang
- College of Acupuncture-Moxibustion and Tuina, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu Province, China
| | - Jin-Feng Mao
- Second Clinical Medical College of Nanjing University of Chinese Medicine/Department of Acupuncture and Moxibustion of Second TCM Hospital of Jiangsu Province, Nanjing 210017
| | - Ai-Jun Xu
- College of Nursing of Nanjing University of Chinese Medicine; 5College of Economics and Management of Nanjing University of Chinese Medicine
| | - Hong-Mei Li
- College of Economics and Management of Nanjing University of Chinese Medicine
| | - Guo-Dong Wang
- Second Clinical Medical College of Nanjing University of Chinese Medicine/Department of Acupuncture and Moxibustion of Second TCM Hospital of Jiangsu Province, Nanjing 210017
| | - Jian-Bin Zhang
- Second Clinical Medical College of Nanjing University of Chinese Medicine/Department of Acupuncture and Moxibustion of Second TCM Hospital of Jiangsu Province, Nanjing 210017
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40
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Sahlén P, Yanhu L, Xu J, Kubinyi E, Wang GD, Savolainen P. Variants That Differentiate Wolf and Dog Populations Are Enriched in Regulatory Elements. Genome Biol Evol 2021; 13:6261009. [PMID: 33929504 PMCID: PMC8086526 DOI: 10.1093/gbe/evab076] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2021] [Indexed: 12/21/2022] Open
Abstract
Research on the genetics of domestication most often focuses on the protein-coding exons. However, exons cover only a minor part (1–2%) of the canine genome, whereas functional mutations may be located also in regions beyond the exome, in regulatory regions. Therefore, a large proportion of phenotypical differences between dogs and wolves may remain genetically unexplained. In this study, we identified variants that have high allelic frequency differences (i.e., highly differentiated variants) between wolves and dogs across the canine genome and investigated the potential functionality. We found that the enrichment of highly differentiated variants was substantially higher in promoters than in exons and that such variants were enriched also in enhancers. Several enriched pathways were identified including oxytocin signaling, carbohydrate digestion and absorption, cancer risk, and facial and body features, many of which reflect phenotypes of potential importance during domestication, including phenotypes of the domestication syndrome. The results highlight the importance of regulatory mutations during dog domestication and motivate the functional annotation of the noncoding part of the canine genome.
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Affiliation(s)
- Pelin Sahlén
- KTH Royal Institute of Technology, School of Chemistry, Biotechnology and Health, Science for Life Laboratory, Stockholm, Sweden
| | - Liu Yanhu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Jinrui Xu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA
| | - Eniko Kubinyi
- Department of Ethology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Peter Savolainen
- KTH Royal Institute of Technology, School of Chemistry, Biotechnology and Health, Science for Life Laboratory, Stockholm, Sweden
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41
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Huang YY, Wang GD, Liu JS, Zhang LL, Huang SY, Wang YL, Yang ZW, Ge H. Analysis of transcriptome difference between rapid-growing and slow-growing in Penaeus vannamei. Gene 2021; 787:145642. [PMID: 33848570 DOI: 10.1016/j.gene.2021.145642] [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: 02/03/2021] [Revised: 03/28/2021] [Accepted: 04/07/2021] [Indexed: 01/13/2023]
Abstract
Penaeus vannamei is the principle cultured shrimp species in China. However, with the increase of culture density, the growth difference between individuals is also expanding. Here, we make use of RNA-seq to study the growth mechanisms of P. vannamei. After 120 days, we examined the transcriptomes of rapid-growing individuals (RG) and slow-growing individuals (SG). A total of 2116 and 176 differentially expressed genes (DEGs) were found in SG and RG, respectively. Moreover, the main DEGs are opsin, heat shock protein (HSP), actin, myosin, superoxide dismutase (SOD), cuticle protein, and chitinase. GO analysis further revealed that the DEGs were enriched in biological processes significantly, such as "sensory perception," "sensory perception of light stimulus," "response to stimulus," and "response to stress." Additionally, KEGG enrichment analysis showed that the DEGs were mainly enriched in "pentose and glucuronate interconversions," "amino sugar and nucleotide sugar metabolism," "glycophospholipid biosynthesis," and "glutathione metabolism." Interestingly, the upstream genes in the ecdysone signaling pathway, including molting inhibition hormone (MIH) and crustacean hyperglycemic hormone (CHH), did not differ significantly between RG and SG, which suggests that the cause for the inconsistent growth performance is due to the stress levels rather than the ecdysone signal pathway. In summary, this work provides data that will be useful for future studies on shrimp growth and development.
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Affiliation(s)
- Yong-Yu Huang
- Fisheries College of Jimei University, Xiamen 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China
| | - Guo-Dong Wang
- Fisheries College of Jimei University, Xiamen 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China.
| | - Jun-Sheng Liu
- Fisheries College of Jimei University, Xiamen 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China
| | - Li-Li Zhang
- Fisheries College of Jimei University, Xiamen 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China
| | - Shi-Yu Huang
- Fisheries College of Jimei University, Xiamen 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China
| | - Yi-Lei Wang
- Fisheries College of Jimei University, Xiamen 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China
| | - Zhang-Wu Yang
- Fisheries Research Institute of Fujian, 7 Shanhai Road, Huli, Xiamen 361000, China.
| | - Hui Ge
- Fisheries Research Institute of Fujian, 7 Shanhai Road, Huli, Xiamen 361000, China
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Zhang M, Sun G, Ren L, Yuan H, Dong G, Zhang L, Liu F, Cao P, Ko AMS, Yang MA, Hu S, Wang GD, Fu Q. Ancient DNA Evidence from China Reveals the Expansion of Pacific Dogs. Mol Biol Evol 2021; 37:1462-1469. [PMID: 31913480 DOI: 10.1093/molbev/msz311] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The ancestral homeland of Australian dingoes and Pacific dogs is proposed to be in South China. However, the location and timing of their dispersal and relationship to dog domestication is unclear. Here, we sequenced 7,000- to 2,000-year-old complete mitochondrial DNA (mtDNA) genomes of 27 ancient canids (one gray wolf and 26 domestic dogs) from the Yellow River and Yangtze River basins (YYRB). These are the first complete ancient mtDNA of Chinese dogs from the cradle of early Chinese civilization. We found that most ancient dogs (18/26) belong to the haplogroup A1b lineage that is found in high frequency in present-day Australian dingoes and precolonial Pacific Island dogs but low frequency in present-day China. Particularly, a 7,000-year-old dog from the Tianluoshan site in Zhejiang province possesses a haplotype basal to the entire haplogroup A1b lineage. We propose that A1b lineage dogs were once widely distributed in the YYRB area. Following their dispersal to South China, and then into Southeast Asia, New Guinea and remote Oceania, they were largely replaced by dogs belonging to other lineages in the last 2,000 years in present-day China, especially North China.
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Affiliation(s)
- Ming Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Life and Paleoenvironment, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Guoping Sun
- Zhejiang Provincial Institute of Relics and Archaeology, Hangzhou, China
| | - Lele Ren
- School of History and Culture, Lanzhou University, Lanzhou, China
| | - Haibing Yuan
- National Demonstration Center for Experimental Archaeology Education, Department of Archaeology, Sichuan University, Chengdu, China
| | - Guanghui Dong
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
| | - Lizhao Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Albert Min-Shan Ko
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Melinda A Yang
- Department of Biology, University of Richmond, Richmond, VA
| | - Songmei Hu
- Shaanxi Academy of Archaeology, Xi'an, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Life and Paleoenvironment, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
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Cao X, Liu WP, Cheng LG, Li HJ, Wu H, Liu YH, Chen C, Xiao X, Li M, Wang GD, Zhang YP. Whole genome analyses reveal significant convergence in obsessive-compulsive disorder between humans and dogs. Sci Bull (Beijing) 2021; 66:187-196. [PMID: 36654227 DOI: 10.1016/j.scib.2020.09.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 08/20/2020] [Accepted: 08/31/2020] [Indexed: 01/20/2023]
Abstract
Obsessive-compulsive disorder (OCD) represents a heterogeneous collection of diseases with diverse levels of phenotypic, genetic, and etiologic variability, making it difficult to identify the underlying genetic and biological mechanisms in humans. Domestic dogs exhibit several OCD-like behaviors. Using continuous circling as a representative phenotype for OCD, we screened two independent dog breeds, the Belgian Malinois and Kunming Dog and subsequently sequenced ten circling dogs and ten unaffected dogs for each breed. Using population differentiation analyses, we identified 11 candidate genes in the extreme tail of the differentiated regions between cases and controls. These genes overlap significantly with genes identified in a genome wide association study (GWAS) of human OCD, indicating strong convergence between humans and dogs. Through gene expressional analysis and functional exploration, we found that two candidate OCD risk genes, PPP2R2B and ADAMTSL3, affected the density and morphology of dendritic spines. Therefore, changes in dendritic spine may underlie some common biological and physiological pathways shared between humans and dogs. Our study revealed an unprecedented level of convergence in OCD shared between humans and dogs, and highlighted the importance of using domestic dogs as a model species for many human diseases including OCD.
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Affiliation(s)
- Xue Cao
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Department of Laboratory Animal Science, Kunming Medical University, Kunming 650500, China
| | - Wei-Peng Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Lu-Guang Cheng
- Kunming Police Dog Base, Ministry of Public Security, Kunming 650204, China
| | - Hui-Juan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Hong Wu
- Laboratory for Conservation and Utilization of Bio-resource & Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming 650091, China
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Chao Chen
- Kunming Police Dog Base, Ministry of Public Security, Kunming 650204, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
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Wang GD, Yang SL, Han X. Transaxonal Spread of Varicella-Zoster Virus in Trigeminal Zoster Followed by Ramsay Hunt Syndrome. Neurol India 2021; 69:1899-1900. [DOI: 10.4103/0028-3886.333511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Wang GD, Wang HZ, Shen YF, Dong J, Wang XP, Wang XZ, Zheng YY, Chen J, Guo SS. The Influence of Venous Characteristics on Peripherally Inserted Central Catheter-Related Symptomatic Venous Thrombosis in Cancer Patients. Cancer Manag Res 2020; 12:11909-11920. [PMID: 33244268 PMCID: PMC7685368 DOI: 10.2147/cmar.s282370] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 09/16/2020] [Accepted: 11/05/2020] [Indexed: 11/23/2022] Open
Abstract
Background With increasing use, peripherally inserted central catheters (PICCs) are associated with the risk of venous thrombosis. Few studies have focused on the relationships between venous thrombosis and venous characteristics. This study aimed to identify effects of venous characteristics on symptomatic PICC-related venous thrombosis in cancer patients and explore the relationship between venous characteristics and blood flow velocity. Methods The data of patients who underwent placement of PICC were retrospectively studied between January 2015 and September 2017. Symptomatic PICC-related venous thrombosis was confirmed by ultrasound. Univariable, multivariable logistic regression analyses were performed to identify the risk factors associated with PICC-related venous thrombosis. In October 2017, 169 patients with PICCs were enrolled prospectively, and the relationships between blood flow velocity and venous characteristics were recorded and analyzed. Results A total of 2933 cancer patients were enrolled in this study; of these patients, 68 experienced symptomatic venous thrombosis. In the bivariate analysis, body mass index (BMI), history of venous thrombosis, triglycerides, tumor category, vessel diameter, vessel depth and arm circumference were associated with thrombosis. The multivariable analyses showed that arm circumference, vascular diameter, triglyceride level and tumor category were independent risk factors for thrombosis. Blood flow velocity was positively correlated with vessel depth and arm circumference but not with vessel diameter. Conclusion Different venous characteristics can lead to different blood flow rates, which can affect the incidence of thrombosis. A vein depth of greater than 1.07cm or less than 0.57cm was associated with a higher incidence of PICC-related venous thrombosis, and the greater the arm circumference and vessel diameter, the greater the risk of venous thrombosis.
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Affiliation(s)
- Guo-Dong Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Hong-Zhi Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Yan-Fen Shen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Jing Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Xin-Peng Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Xiao-Zheng Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Yuan-Yuan Zheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Jie Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
| | - Shuang-Shuang Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), ICU, Peking University Cancer Hospital & Institute, Beijing 100142, People's Republic of China
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Xu Q, Tang PP, Mao JF, Xu AJ, Wang GD, Li HM, Zhang JB. [Definition of lost acupuncture technique: based on Dictionary of Chinese Acupuncture- Moxibustion]. Zhongguo Zhen Jiu 2020; 40:1255-1257. [PMID: 33788499 DOI: 10.13703/j.0255-2930.20191011-k0006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
OBJECTIVE By defining the inclusion criteria of the lost acupuncture technique and sorting out the content of lost acupuncture technique (possibly lost acupuncture technique), this article aimed to provide ideas and methods of the inheritance of acupuncture technique. METHODS The whole entries of Dictionary of Chinese Acupuncture-Moxibustion were searched. The items of acupuncture technique were screened and used as the key terms to retrieve the literature from the database of CNKI, Wanfang, VIP and SinoMed. After that, the lost acupuncture technique and the possibly lost technique were selected from included items, and the terminologies of acupuncture technique were standardized. RESULTS A total of 364 items of acupuncture technique were retrieved, including 17 items of lost acupuncture technique and 12 items of possibly lost acupuncture technique. CONCLUSION The lost acupuncture technique is defined as the acupuncture technique recorded in ancient classics but can not be retrieved in modern literature of clinical application or expert's experience. The change of government or alternation of dynasty, the evolution of acupuncture-moxibustion theories and education are the related causes of lost acupuncture technique.
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Affiliation(s)
- Qian Xu
- School of Acupuncture-Moxibustion and Tuina, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu Province, China; Second Chinese Medicine Hospital of Jiangsu Province/Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210017
| | | | - Jin-Feng Mao
- Second Chinese Medicine Hospital of Jiangsu Province/Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210017
| | - Ai-Jun Xu
- School of Nursing, Nanjing University of Chinese Medicine
| | - Guo-Dong Wang
- School of Acupuncture-Moxibustion and Tuina, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu Province, China; Second Chinese Medicine Hospital of Jiangsu Province/Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210017
| | - Hong-Mei Li
- School of Economics and Management, Nanjing University of Chinese Medicine
| | - Jian-Bin Zhang
- School of Acupuncture-Moxibustion and Tuina, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu Province, China; Second Chinese Medicine Hospital of Jiangsu Province/Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210017
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Dang YZ, Zhang DX, Wang GD, Zhao HL, Huang SG, Li J. Safety and Efficacy of the Metabolic Profiling of the BIMRT Utilizing 18F FDG PET-CT. Technol Cancer Res Treat 2020; 19:1533033820960723. [PMID: 32990157 PMCID: PMC7534080 DOI: 10.1177/1533033820960723] [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] [Indexed: 11/16/2022] Open
Abstract
AIM This study aims to evaluate the safety and efficacy of fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) guided intensity-modulated radiation therapy (IMRT) for patients with peritoneal metastases. PATIENTS AND METHODS A total of 55 patients with peritoneal metastases were treated with 18F-FDG-PET/CT-guided IMRT (BIMRT) from January 2012 to January 2019. They were prescribed with a fraction of the median dose of 2 Gy to a total dose of 50.4 Gy. The multivariate analysis was used the Cox proportional hazard model and the Kaplan-Meier plot was used to perform local control rate (LCR), progression-free survival (PFS), and overall survival (OS) analysis. RESULTS The 1-year, 2-year, and 3-year LCR were 72.7%, 36.4%, and 9.1%, respectively; the 1-year, 2-year, and 3-year PFS were 69.1%, 30.9%, and 7.3%, respectively, and the median PFS time was 18 months. The 1-year, 3-year and 5-year OS were 70.9%, 28.7%, and 4.2%, respectively. Based on the multivariate analysis using the Cox proportional hazard model, the Karnofsky performance status (KPS) score and radiotherapy joint chemotherapy (RJC) method were independent prognostic-related indicators (P < 0.0001). CONCLUSION BIMRT may be a safe and effective treatment for patients with peritoneal metastases, especially for patients who cannot undergo surgery. In addition, the results indicated that the patient's KPS score and RJC method were independent prognostic-related indicators for patients survival time.
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Affiliation(s)
- Ya-Zheng Dang
- Department of Radiation Oncology, 986 Hospital of People's Liberation Army Air Force, Xi'an, Shaanxi, Province, China
| | - Dong-Xian Zhang
- Department of Radiation Oncology, 986 Hospital of People's Liberation Army Air Force, Xi'an, Shaanxi, Province, China
| | - Guo-Dong Wang
- Department of Radiation Oncology, 986 Hospital of People's Liberation Army Air Force, Xi'an, Shaanxi, Province, China
| | - Hong-Liang Zhao
- Department of Radiation Oncology, 986 Hospital of People's Liberation Army Air Force, Xi'an, Shaanxi, Province, China
| | - Shi-Gao Huang
- Cancer Center, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, People's Republic of China
| | - Jie Li
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Taizhou Enze Medical Center (Group), Linhai, Zhejiang Province, China
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Amiri Ghanatsaman Z, Wang GD, Asadi Fozi M, Zhang YP, Esmailizadeh A. Genome resequencing data for Iranian local dogs and wolves. BMC Res Notes 2020; 13:436. [PMID: 32938490 PMCID: PMC7493879 DOI: 10.1186/s13104-020-05271-3] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 09/04/2020] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE The data provided herein represent the whole-genome resequencing data related to three wolves and three Iranian local dogs. The understanding of genome evolution during animal domestication is an interesting subject in genome biology. Dog is an excellent model for understanding of domestication due to its considerable variety of behavioral and physical traits. The Zagros area of current day Iran has been identified as one of the initial centers of animal domestication. The availability of the complete genome sequences of Iranian local canids can be a valuable resource for researchers to address questions and testing hypotheses on the dog domestication process. DATA DESCRIPTION We collected blood samples from six Iranian local canids including two hunting dogs (Saluki breed), a mastiff dog (Qahderijani ecotype) and three wolves. We extracted genomic DNA from blood samples. Sequence data were produced using the Illumina HiSeq 2500 system. All sequence data are available in the National Genomics Data Center (NGDC), Genome Sequence Archive (GSA) database under the accession of CRA001324 and the National Center for Biotechnology Information (NCBI) under the accession of PRJNA639312. The short-read sequences with the mean depth of 16X were aligned to the dog reference genome (CanFam3.1) and achieved 99% coverage of the reference assembly. The obtained information from this experiment will be useful in evolutionary biology.
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Affiliation(s)
- Zeinab Amiri Ghanatsaman
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran
- Young Researchers Society, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 32 Jiaochang Donglu, Kunming, 650223, Yunnan, China
| | - Masood Asadi Fozi
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran
| | - Ya-Ping Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, 650091, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 32 Jiaochang Donglu, Kunming, 650223, Yunnan, China.
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Zhang J, Dong XJ, Ding MR, You CY, Lin X, Wang Y, Wu MJY, Xu GF, Wang GD. Resveratrol decreases high glucose‑induced apoptosis in renal tubular cells via suppressing endoplasmic reticulum stress. Mol Med Rep 2020; 22:4367-4375. [PMID: 33000199 PMCID: PMC7533457 DOI: 10.3892/mmr.2020.11511] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 08/20/2020] [Indexed: 12/30/2022] Open
Abstract
Diabetic nephropathy (DN) is the second most common complication of diabetes mellitus after cardiovascular complications. Endoplasmic reticulum (ER) stress is known to be associated with DN. Resveratrol (RSV) exhibits anti-oxidative, anti-inflammatory and cytoprotective effects. Therefore, the aims of the present study were to investigate the role of RSV in the inhibition of high concentration glucose (HG)-induced apoptosis in renal tubular cells, as well as to examine the protective effects of RSV against diabetes-mediated renal damage via inhibition of ER stress in DN. RSV was orally administered to diabetic db/db mice once a day for 12 consecutive weeks. Compared with untreated db/db mice, treating db/db mice with RSV significantly decreased urine albumin excretion and the urine albumin to creatinine ratio, and attenuated renal histopathological injury. Furthermore, RSV treatment resulted in decreased expression levels of glucose-regulated protein of 78 kDa and C/EBP-homologous protein (two ER stress markers) and caspase12 in murine kidneys. RSV administration also inhibited the apoptosis of NRK-52E cells and activation of the ER stress signal transduction pathway induced by HG treatment in vitro. Collectively, the present results indicated that RSV protected renal tubular cells against HG-induced apoptosis in DN by suppressing ER stress.
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Affiliation(s)
- Jing Zhang
- Department of Nephrology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241001, P.R. China
| | - Xiong-Jun Dong
- Department of Nephrology, The Second People's Hospital of Wuhu, Wuhu, Anhui 241000, P.R. China
| | - Meng-Ru Ding
- Anhui Provincial Engineering Research Center for Polysaccharide Drugs, Anhui Province Key Laboratory of Active Biological Macro‑Molecules, Wuhu, Anhui 241002, P.R. China
| | - Chun-Yu You
- Department of Nephrology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241001, P.R. China
| | - Xin Lin
- Department of Nephrology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241001, P.R. China
| | - Ying Wang
- School of Medical Imaging, Wannan Medical College, Wuhu, Anhui 241002, P.R. China
| | - Miao-Jie-Yang Wu
- School of Medical Imaging, Wannan Medical College, Wuhu, Anhui 241002, P.R. China
| | - Guo-Fei Xu
- Anhui Provincial Engineering Research Center for Polysaccharide Drugs, Anhui Province Key Laboratory of Active Biological Macro‑Molecules, Wuhu, Anhui 241002, P.R. China
| | - Guo-Dong Wang
- Anhui Provincial Engineering Research Center for Polysaccharide Drugs, Anhui Province Key Laboratory of Active Biological Macro‑Molecules, Wuhu, Anhui 241002, P.R. China
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50
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Wang X, Feng H, Chang Y, Ma C, Wang L, Hao X, Li A, Cheng H, Wang L, Cui P, Jin J, Wang X, Wei K, Ai C, Zhao S, Wu Z, Li Y, Liu B, Wang GD, Chen L, Ruan J, Yang Y. Population sequencing enhances understanding of tea plant evolution. Nat Commun 2020; 11:4447. [PMID: 32895382 PMCID: PMC7477583 DOI: 10.1038/s41467-020-18228-8] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [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: 03/16/2020] [Accepted: 08/07/2020] [Indexed: 12/21/2022] Open
Abstract
Tea is an economically important plant characterized by a large genome, high heterozygosity, and high species diversity. In this study, we assemble a 3.26-Gb high-quality chromosome-scale genome for the 'Longjing 43' cultivar of Camellia sinensis var. sinensis. Genomic resequencing of 139 tea accessions from around the world is used to investigate the evolution and phylogenetic relationships of tea accessions. We find that hybridization has increased the heterozygosity and wide-ranging gene flow among tea populations with the spread of tea cultivation. Population genetic and transcriptomic analyses reveal that during domestication, selection for disease resistance and flavor in C. sinensis var. sinensis populations has been stronger than that in C. sinensis var. assamica populations. This study provides resources for marker-assisted breeding of tea and sets the foundation for further research on tea genetics and evolution.
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Affiliation(s)
- Xinchao Wang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - Hu Feng
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Yuxiao Chang
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Chunlei Ma
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - Liyuan Wang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - Xinyuan Hao
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - A'lun Li
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Hao Cheng
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - Lu Wang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - Peng Cui
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Jiqiang Jin
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - Xiaobo Wang
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Kang Wei
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China
| | - Cheng Ai
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Sheng Zhao
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Zhichao Wu
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China
| | - Youyong Li
- Tea Research Institute, Yunnan Academy of Agricultural Sciences, 650231, Menghai, China
| | - Benying Liu
- Tea Research Institute, Yunnan Academy of Agricultural Sciences, 650231, Menghai, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China.
| | - Liang Chen
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China.
| | - Jue Ruan
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 518120, Shenzhen, China.
| | - Yajun Yang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 310008, Hangzhou, China.
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