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Li Z, Xu L, Luo W, Zhang S, Hou C, Xu X, Peng X, Shiju E, Pathak JL, Zhang S, Liu J, Li L, Li Y. AI-driven analysis establishes the single base substitution signatures as personalized prognostic predictors for five-year survival of gastric cancer. Genes Dis 2024; 11:101030. [PMID: 38495926 PMCID: PMC10943050 DOI: 10.1016/j.gendis.2023.05.021] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/25/2023] [Indexed: 03/19/2024] Open
Affiliation(s)
- Zhenzhang Li
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
- College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong 510665, China
| | - Lingqing Xu
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Wen Luo
- College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong 510665, China
| | - Shaoan Zhang
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
- College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong 510665, China
| | - Chunyu Hou
- Center for Learning Sciences and Technologies, The Chinese University of Hong Kong, Shatin, New Territories 999077, China
| | - Xiaohong Xu
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510260, China
| | - Xubei Peng
- College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong 510665, China
| | - E. Shiju
- International School of Photonics, Cochin University of Science and Technology, Kochi, Kerala 682022, India
| | - Janak L. Pathak
- Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510182, China
| | - Shizhen Zhang
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510260, China
| | - Jiawei Liu
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Linhai Li
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Yang Li
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
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Chen G, Qi L, Zhang S, Peng H, Lin Z, Zhang X, Nie Q, Luo W. Metabolomic, lipidomic, and proteomic profiles provide insights on meat quality differences between Shitou and Wuzong geese. Food Chem 2024; 438:137967. [PMID: 37979274 DOI: 10.1016/j.foodchem.2023.137967] [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: 07/28/2023] [Revised: 10/05/2023] [Accepted: 11/09/2023] [Indexed: 11/20/2023]
Abstract
A comprehensive comparison of metabolomic, lipidomic, and proteomic profiles was conducted between the breast and leg muscles of Shitou goose (STE) and Wuzhong goose (WZE), which exhibit significant variations in body size and growth rate, to evaluate their impact on meat quality. WZE had higher intramuscular fat content in their breast muscles, which were also chewier and had higher drip and cooking losses than STE. Metabolomic analysis revealed differential regulation of amino acid and purine metabolism between WZE and STE. Lipidomic analysis indicated a higher abundance of PE and PC lipid molecules in WZE. Integration of proteomic and metabolomic data highlighted purine metabolism and amino acid biosynthesis as the major distinguishing pathways between STE and WZE. The primary differential pathways between breast and leg muscles were associated with energy metabolism and fatty acid metabolism. This comprehensive analysis provides valuable insights into the distinct meat quality of STE and WZE.
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Affiliation(s)
- Genghua Chen
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Lin Qi
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Shuai Zhang
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Haoqi Peng
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Zetong Lin
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Xiquan Zhang
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Qinghua Nie
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Wen Luo
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China.
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Pang L, Yang X, Zhang P, Ding L, Yuan J, Liu H, Liu J, Gong X, Yu M, Luo W. Development and Validation of a Nomogram Based on Multimodality Ultrasonography Images for Differentiating Malignant from Benign American College of Radiology Thyroid Imaging, Reporting and Data System (TI-RADS) 3-5 Thyroid Nodules. Ultrasound Med Biol 2024; 50:557-563. [PMID: 38262884 DOI: 10.1016/j.ultrasmedbio.2023.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 12/06/2023] [Accepted: 12/21/2023] [Indexed: 01/25/2024]
Abstract
OBJECTIVE The aim of the work described here was to develop and validate a predictive nomogram based on combined image features of gray-scale ultrasonography (US), elastosonography (ES) and contrast-enhanced US (CEUS) to differentiate malignant from benign American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) 3-5 thyroid nodules. METHODS Among 2767 thyroid nodules scanned by CEUS in Xijing Hospital between April 2014 and November 2018, 669 nodules classified as ACR TI-RADS 3-5 were included, with confirmed diagnosis and ES examination. Four hundred fifty-five nodules were set as a training cohort and 214 as a validation cohort. Images were categorized as gray-scale US ACR TI-RADS 3, TI-RADS 4 and TI-RADS 5; ES patterns of ES-1 and ES-2; and CEUS patterns of either heterogeneous hypo-enhancement, concentric hypo-enhancement, homogeneous hyper-/iso-enhancement, no perfusion, hypo-enhancement with sharp margin, island-like enhancement or ring-like enhancement. On the basis of multivariate logistic regression analysis, a predictive nomogram model was developed and validated by receiver operating characteristic curve analysis. RESULTS In the training cohort, ACR TI-RADS 4 and 5, ES-2, heterogeneous hypo-enhancement, concentric hypo-enhancement and homogeneous hyper-/iso-enhancement were selected as predictors of malignancy by univariate logistic regression analysis. A predictive nomogram (combining indices of ACR TI-RADS, ES and CEUS) indicated excellent predictive ability for differentiating malignant from benign lesions in the training cohort: area under the receiver operating characteristic curve (AUC) = 0.93, 95% confidence interval (CI): 0.90-0.95. The prediction nomogram model was determined to have a sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of 0.84, 0.88, 0.91 and 0.81. In the validation cohort, the AUC of the prediction nomogram model was significantly higher than those of the single modalities (p < 0.005) . The AUCs of the validation cohort were 0.93 (95% CI: 0.89-0.96) and 0.93 (95% CI: 0.89-0.97), respectively, for senior and junior radiologists. The prediction nomogram model has a sensitivity, specificity, PPV and NPV of 0.86, 0.87, 0.87 and 0.86. CONCLUSION A predictive nomogram model combining ACR TI-RADS, ES and CEUS exhibited potential clinical utility in differentiating malignant from benign ACR TI-RADS 3-5 thyroid nodules.
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Affiliation(s)
- Lina Pang
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Xiao Yang
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Peidi Zhang
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Lei Ding
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Jiani Yuan
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Haijing Liu
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Jin Liu
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Xue Gong
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Ming Yu
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Wen Luo
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China.
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Godinez Paredes JM, Rodriguez I, Ren M, Orozco A, Ortiz J, Albanez A, Jones C, Nahleh Z, Barreda L, Garland L, Torres-Gonzalez E, Wu D, Luo W, Liu J, Argueta V, Orozco R, Gharzouzi E, Dean M. Germline pathogenic variants associated with triple-negative breast cancer in US Hispanic and Guatemalan women using hospital and community-based recruitment strategies. Breast Cancer Res Treat 2024:10.1007/s10549-024-07300-2. [PMID: 38520597 DOI: 10.1007/s10549-024-07300-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 02/21/2024] [Indexed: 03/25/2024]
Abstract
PURPOSE Recruit and sequence breast cancer subjects in Guatemalan and US Hispanic populations. Identify optimum strategies to recruit Latin American and Hispanic women into genetic studies of breast cancer. METHODS We used targeted gene sequencing to identify pathogenic variants in 19 familial breast cancer susceptibility genes in DNA from unselected Hispanic breast cancer cases in the US and Guatemala. Recruitment across the US was achieved through community-based strategies. In addition, we obtained patients receiving cancer treatment at major hospitals in Texas and Guatemala. RESULTS We recruited 287 Hispanic US women, 38 (13%) from community-based and 249 (87%) from hospital-based strategies. In addition, we ascertained 801 Guatemalan women using hospital-based recruitment. In our experience, a hospital-based approach was more efficient than community-based recruitment. In this study, we sequenced 103 US and 137 Guatemalan women and found 11 and 10 pathogenic variants, respectively. The most frequently mutated genes were BRCA1, BRCA2, CHEK2, and ATM. In addition, an analysis of 287 US Hispanic patients with pathology reports showed a significantly higher percentage of triple-negative disease in patients with pathogenic variants (41% vs. 15%). Finally, an analysis of mammography usage in 801 Guatemalan patients found reduced screening in women with a lower socioeconomic status (p < 0.001). CONCLUSION Guatemalan and US Hispanic women have rates of hereditary breast cancer pathogenic variants similar to other populations and are more likely to have early age at diagnosis, a family history, and a more aggressive disease. Patient recruitment was higher using hospital-based versus community enrollment. This data supports genetic testing in breast cancer patients to reduce breast cancer mortality in Hispanic women.
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Affiliation(s)
- Jesica M Godinez Paredes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD, USA
| | - Isabel Rodriguez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD, USA
| | - Megan Ren
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD, USA
| | - Anali Orozco
- Instituto Cancerologia, Guatemala City, Guatemala
| | - Jeremy Ortiz
- Instituto Cancerologia, Guatemala City, Guatemala
| | | | - Catherine Jones
- Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | | | - Lilian Barreda
- Hospital General San Juan de Dios, Guatemala City, Guatemala
| | - Lisa Garland
- Cancer Genetics Research Laboratory, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
| | - Edmundo Torres-Gonzalez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD, USA
| | - Dongjing Wu
- Cancer Genetics Research Laboratory, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
| | - Wen Luo
- Cancer Genetics Research Laboratory, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
| | - Jia Liu
- Cancer Genetics Research Laboratory, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
| | - Victor Argueta
- Hospital General San Juan de Dios, Guatemala City, Guatemala
| | - Roberto Orozco
- Hospital General San Juan de Dios, Guatemala City, Guatemala
| | | | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD, USA.
- National Cancer Institute, 9615 Medical Center Drive, Rm 3130, Rockville, MD, 20850, USA.
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Huang Y, Yang C, Nie J, Zeng M, Kuang H, Zheng K, Sun H, Xie X, He X, Luo HB, Luo W. The application of drug behavior management methods in the treatment of dental fear and oral diseases in children: A review. Medicine (Baltimore) 2024; 103:e37520. [PMID: 38518036 PMCID: PMC10956992 DOI: 10.1097/md.0000000000037520] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 02/15/2024] [Indexed: 03/24/2024] Open
Abstract
Oral behavior management methods include basic behavior management methods and drug behavior management methods. In many cases, dental treatment that cannot be done simply through basic behavior management is not possible. The uncooperative behavior of children with dental fear in oral treatment has increased the demand for medication based behavior management methods. Drug sedation can provide more effective analgesic and anti-anxiety effects, thereby helping to provide comfortable, efficient, and high-quality dental services. This article will review the drug sedation methods selected in clinical treatment of pediatric dental fear in recent years, as well as the safety and effectiveness of commonly used drugs, in order to provide guidance for dental professionals in clinical practice.
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Affiliation(s)
- Yuqi Huang
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Chao Yang
- Department of Stomatology, The People’s Hospital of Longhua, Shenzhen, China
- Research and Development Department, Shenzhen Uni-medica Technology CO., Ltd, Shenzhen, China
| | - Jingjing Nie
- Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Manman Zeng
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Huifang Kuang
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Kaiyue Zheng
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Honglan Sun
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Xi Xie
- Key Laboratory of Tropical Biological Resources of Ministry of Education and Hainan Engineering Research Center for Drug Screening and Evaluation, School of Pharmaceutical Sciences, Hainan University, Haikou, China
| | - Xiaoning He
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Hai-Bin Luo
- Key Laboratory of Tropical Biological Resources of Ministry of Education and Hainan Engineering Research Center for Drug Screening and Evaluation, School of Pharmaceutical Sciences, Hainan University, Haikou, China
| | - Wen Luo
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
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Yang H, Wu H, Kong L, Luo W, Xie Q, Pan J, Quan W, Hu L, Li D, Wu X, Liang H, Qin P. Precise detection of awareness in disorders of consciousness using deep learning framework. Neuroimage 2024; 290:120580. [PMID: 38508294 DOI: 10.1016/j.neuroimage.2024.120580] [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: 01/19/2024] [Revised: 03/14/2024] [Accepted: 03/16/2024] [Indexed: 03/22/2024] Open
Abstract
Diagnosis of disorders of consciousness (DOC) remains a formidable challenge. Deep learning methods have been widely applied in general neurological and psychiatry disorders, while limited in DOC domain. Considering the successful use of resting-state functional MRI (rs-fMRI) for evaluating patients with DOC, this study seeks to explore the conjunction of deep learning techniques and rs-fMRI in precisely detecting awareness in DOC. We initiated our research with a benchmark dataset comprising 140 participants, including 76 unresponsive wakefulness syndrome (UWS), 25 minimally conscious state (MCS), and 39 Controls, from three independent sites. We developed a cascade 3D EfficientNet-B3-based deep learning framework tailored for discriminating MCS from UWS patients, referred to as "DeepDOC", and compared its performance against five state-of-the-art machine learning models. We also included an independent dataset consists of 11 DOC patients to test whether our model could identify patients with cognitive motor dissociation (CMD), in which DOC patients were behaviorally diagnosed unconscious but could be detected conscious by brain computer interface (BCI) method. Our results demonstrate that DeepDOC outperforms the five machine learning models, achieving an area under curve (AUC) value of 0.927 and accuracy of 0.861 for distinguishing MCS from UWS patients. More importantly, DeepDOC excels in CMD identification, achieving an AUC of 1 and accuracy of 0.909. Using gradient-weighted class activation mapping algorithm, we found that the posterior cortex, encompassing the visual cortex, posterior middle temporal gyrus, posterior cingulate cortex, precuneus, and cerebellum, as making a more substantial contribution to classification compared to other brain regions. This research offers a convenient and accurate method for detecting covert awareness in patients with MCS and CMD using rs-fMRI data.
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Affiliation(s)
- Huan Yang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou 510080, China
| | - Hang Wu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China
| | - Lingcong Kong
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou 510080, China
| | - Wen Luo
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 528199, China
| | - Qiuyou Xie
- Joint Research Center for disorders of consciousness, Department of Rehabilitation, Zhujiang Hospital, School of Rehabilitation Sciences, Southern Medical University, Guangzhou 510220, China
| | - Jiahui Pan
- School of Software, South China Normal University, Foshan 528225, China; Pazhou Lab, Guangzhou 510330, China
| | - Wuxiu Quan
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou 510080, China
| | - Lianting Hu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou 510080, China
| | - Dantong Li
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou 510080, China
| | - Xuehai Wu
- Pazhou Lab, Guangzhou 510330, China; Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200433, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai Key laboratory of Brain Function Restoration and Neural Regeneration, Neurosurgical Institute of Fudan University, Shanghai 200433, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai 200433, China
| | - Huiying Liang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou 510080, China.
| | - Pengmin Qin
- Pazhou Lab, Guangzhou 510330, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China.
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Wei Q, Chen L, Luo W, Chen C, Shi Y, Xie J, Xie X, Luo HB. PDE12 disrupts mitochondrial oxidative phosphorylation and mediates mitochondrial dysfunction to induce oral mucosal epithelial barrier damage in oral submucous fibrosis. Eur J Pharmacol 2024; 967:176353. [PMID: 38325798 DOI: 10.1016/j.ejphar.2024.176353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/16/2024] [Accepted: 01/22/2024] [Indexed: 02/09/2024]
Abstract
Oral submucous fibrosis (OSF) is a chronic oral mucosal disease. The pathological changes of OSF include epithelial damage and subepithelial matrix fibrosis. This study aimed to reveal the epithelial injury mechanism of OSF. A histopathological method was used to analyze oral mucosal tissue from OSF patients and OSF rats. The expression of PDE12 in the oral epithelium was analyzed by immunohistochemistry. The epithelial-mesenchymal transition (EMT) and tight junction proteins in arecoline-treated HOKs were explored by western blotting. Epithelial leakage was assessed by transepithelial electrical resistance and lucifer yellow permeability. The expression of PDE12 and the mitochondrial morphology, mitochondrial permeability transition pore opening, mitochondrial membrane potential, and mitochondrial reactive oxygen species (mtROS) were evaluated in arecoline-induced HOKs. Oxidative phosphorylation (OXPHOS) complexes and ATP content were also explored in HOKs. The results showed significant overexpression of PDE12 in oral mucosal tissue from OSF patients and rats. PDE12 was also overexpressed and aggregated in mitochondria in arecoline-induced HOKs, resulting in dysfunction of OXPHOS and impaired mitochondrial function. An EMT, disruption of tight junctions with epithelial leakage, and extracellular matrix remodeling were also observed. PDE12 overexpression induced by PDE12 plasmid transfection enhanced the mtROS level and interfered with occludin protein localization in HOKs. Interestingly, knockdown of PDE12 clearly ameliorated arecoline-induced mitochondrial dysfunction and epithelial barrier dysfunction in HOKs. Therefore, we concluded that overexpression of PDE12 impaired mitochondrial OXPHOS and mitochondrial function and subsequently impaired epithelial barrier function, ultimately leading to OSF. We suggest that PDE12 may be a new potential target against OSF.
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Affiliation(s)
- Qihui Wei
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570228, Hainan Province, China
| | - Linlin Chen
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570228, Hainan Province, China
| | - Wen Luo
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, 570102, Hainan Province, China
| | - Cailian Chen
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570228, Hainan Province, China
| | - Yuqing Shi
- School of Life Sciences, Hainan University, Haikou, 570228, Hainan Province, China
| | - Jinmei Xie
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570228, Hainan Province, China
| | - Xi Xie
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570228, Hainan Province, China.
| | - Hai-Bin Luo
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou, 570228, Hainan Province, China.
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Luo J, Zhang SY, Luo W, Jiang LL, Yuan JP, Yan DD. [Incubation method and application time of hexamine silver working solution on the staining effect of fungal hexamine silver]. Zhonghua Bing Li Xue Za Zhi 2024; 53:296-298. [PMID: 38433060 DOI: 10.3760/cma.j.cn112151-20230901-00121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Affiliation(s)
- J Luo
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - S Y Zhang
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - W Luo
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - L L Jiang
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - J P Yuan
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - D D Yan
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China
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9
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Rodriguez I, Rossi NM, Keskus AG, Xie Y, Ahmad T, Bryant A, Lou H, Paredes JG, Milano R, Rao N, Tulsyan S, Boland JF, Luo W, Liu J, O'Hanlon T, Bess J, Mukhina V, Gaykalova D, Yuki Y, Malik L, Billingsley KJ, Blauwendraat C, Carrington M, Yeager M, Mirabello L, Kolmogorov M, Dean M. Insights into the mechanisms and structure of breakage-fusion-bridge cycles in cervical cancer using long-read sequencing. Am J Hum Genet 2024; 111:544-561. [PMID: 38307027 PMCID: PMC10940022 DOI: 10.1016/j.ajhg.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/20/2023] [Accepted: 01/04/2024] [Indexed: 02/04/2024] Open
Abstract
Cervical cancer is caused by human papillomavirus (HPV) infection, has few approved targeted therapeutics, and is the most common cause of cancer death in low-resource countries. We characterized 19 cervical and four head and neck cancer cell lines using long-read DNA and RNA sequencing and identified the HPV types, HPV integration sites, chromosomal alterations, and cancer driver mutations. Structural variation analysis revealed telomeric deletions associated with DNA inversions resulting from breakage-fusion-bridge (BFB) cycles. BFB is a common mechanism of chromosomal alterations in cancer, and our study applies long-read sequencing to this important chromosomal rearrangement type. Analysis of the inversion sites revealed staggered ends consistent with exonuclease digestion of the DNA after breakage. Some BFB events are complex, involving inter- or intra-chromosomal insertions or rearrangements. None of the BFB breakpoints had telomere sequences added to resolve the dicentric chromosomes, and only one BFB breakpoint showed chromothripsis. Five cell lines have a chromosomal region 11q BFB event, with YAP1-BIRC3-BIRC2 amplification. Indeed, YAP1 amplification is associated with a 10-year-earlier age of diagnosis of cervical cancer and is three times more common in African American women. This suggests that individuals with cervical cancer and YAP1-BIRC3-BIRC2 amplification, especially those of African ancestry, might benefit from targeted therapy. In summary, we uncovered valuable insights into the mechanisms and consequences of BFB cycles in cervical cancer using long-read sequencing.
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Affiliation(s)
- Isabel Rodriguez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nicole M Rossi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Ayse G Keskus
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yi Xie
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Tanveer Ahmad
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Asher Bryant
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Hong Lou
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jesica Godinez Paredes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Rose Milano
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nina Rao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA; Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Sonam Tulsyan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Joseph F Boland
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Wen Luo
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jia Liu
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Tim O'Hanlon
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jazmyn Bess
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vera Mukhina
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medical Center, Baltimore, MD, USA
| | - Daria Gaykalova
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; Marlene & Stewart Greenebaum Comprehensive Cancer Center, University of Maryland Medical System, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Yuko Yuki
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Laksh Malik
- Center for Alzheimer's and Related Dementias, National Institute on Aging, Bethesda, MD, USA
| | | | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institute on Aging, Bethesda, MD, USA; Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Mary Carrington
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Meredith Yeager
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
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Luo W, Yan X, Pan X, Jiao J, Mai L. What Makes On-Chip Microdevices Stand Out in Electrocatalysis? Small 2024; 20:e2305020. [PMID: 37875658 DOI: 10.1002/smll.202305020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/03/2023] [Indexed: 10/26/2023]
Abstract
Clean and sustainable energy conversion and storage through electrochemistry shows great promise as an alternative to traditional fuel or fossil-consumption energy systems. With regards to practical and high-efficient electrochemistry application, the rational design of active sites and the accurate description of mechanism remain a challenge. Toward this end, in this Perspective, a unique on-chip micro/nano device coupling nanofabrication and low-dimensional electrochemical materials is presented, in which material structure analysis, field-effect regulation, in situ monitoring, and simulation modeling are highlighted. The critical mechanisms that influence electrochemical response are discussed, and how on-chip micro/nano device distinguishes itself is emphasized. The key challenges and opportunities of on-chip electrochemical platforms are also provided through the Perspective.
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Affiliation(s)
- Wen Luo
- Department of Physics, School of Science, Wuhan University of Technology, Wuhan, 430070, China
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, 430070, China
| | - Xin Yan
- Department of Physics, School of Science, Wuhan University of Technology, Wuhan, 430070, China
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, 430070, China
| | - Xuelei Pan
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, 430070, China
- Wolfson Catalysis Centre, Department of Chemistry, University of Oxford, Oxford, OX1 3QR, UK
| | - Jinying Jiao
- Department of Physics, School of Science, Wuhan University of Technology, Wuhan, 430070, China
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, 430070, China
| | - Liqiang Mai
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, 430070, China
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11
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Ma F, Wen Y, Fu P, Zhang J, Tang Q, Chen T, Luo W, Zhou Y, Wang J. Engineering 0D/2D Architecture of Ni(OH) 2 Nanoparticles on Covalent Organic Framework Nanosheets for Selective Visible-Light-Driven CO 2 Reduction. Small 2024; 20:e2305767. [PMID: 37919097 DOI: 10.1002/smll.202305767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/07/2023] [Indexed: 11/04/2023]
Abstract
Low-dimensional materials serving as photocatalysts favor providing abundant unsaturated active sites and shortening the charge transport distance, but the high surface energy readily causes the aggregation that limits their application. Herein, it is demonstrated that 2D covalent organic framework (COF) TpBD nanosheets are effective in the dispersion and stabilization of 0D Ni(OH)2 . The COF precursor TpBD is synthesized from the Schiff base condensation of 1,3,5-triformylphloroglucinol (Tp) and benzidine (BD) and exfoliated into 2D nanosheets named BDNs via ultrasonication. The formation of highly dispersive 0D Ni(OH)2 on BDNs is reached under a mild weak basic condition, enabling robust active sites for CO2 adsorption/activation and rapid interface cascaded electron transport channels for the accumulation of long-lived photo-generated charges. The champion catalyst 30%Ni-BDNs effectively catalyze the CO2 to CO conversion under visible-light irradiation, offering a high CO evolution rate of 158.4 mmol g-1 h-1 and turnover frequency of 51 h-1 . By contrast, the counterpart photocatalyst, the bulk TpBD stabilized Ni(OH)2 , affords a much lower CO evolution rate and selectivity. This work demonstrates a new avenue to simultaneously construct efficient active sites and electron transport channels by coupling 0D metal hydroxides and 2D COF nanosheets for CO2 photoreduction.
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Affiliation(s)
- Fangpei Ma
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Ying Wen
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Ping Fu
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Junjun Zhang
- School of Environmental and Chemical Engineering, Shanghai University, 99 Hangda Road, Shanghai, 200444, China
- Department of Chemical Engineering, Sichuan University, Chengdu, 610065, China
| | - Qingping Tang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Tao Chen
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Wen Luo
- School of Environmental and Chemical Engineering, Shanghai University, 99 Hangda Road, Shanghai, 200444, China
| | - Yu Zhou
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Jun Wang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China
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12
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Gao H, Li G, Fu C, Ren J, Kang F, Luo W, Yin Q, Zhou C, Li B, Lu S, Wang H, Zhang Y, Zhang Y. Comparison of diagnostic efficacy between 99mTc-methylene diphosphate SPECT/CT and MRI for bone and joint infections: a multicenter retrospective analysis. Front Endocrinol (Lausanne) 2024; 15:1359655. [PMID: 38487344 PMCID: PMC10937577 DOI: 10.3389/fendo.2024.1359655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 01/18/2024] [Indexed: 03/17/2024] Open
Abstract
Objective There is currently no non-invasive examination that can fully determine the diagnosis of osteomyelitis. SPECT/CT tomographic fusion imaging can provide both local metabolic activity and anatomical information to determine the condition and location. This study evaluates the diagnostic efficacy of 99mTc-MDP SPECT/CT in bone infections, compared to MRI. Methods In this multicenter retrospective study, 363 patients with suspected bone and joint infections or osteomyelitis were included. Participants underwent 99mTc-MDP SPECT/CT and/or MRI examinations, supplemented by pathogenic bacterial cultures and histopathological analysis. Results Only SPECT/CT was tested in 169 patients, and only MRI was used in 116. 78 people have implemented both inspections and have detailed information. The diagnostic sensitivity and specificity of SPECT/CT for infection were 96% and 92% respectively, with an accuracy of 96%. For MRI, these figures were 88%, 84%, and 87% respectively. Conclusion This represents the largest global study to date evaluating osteomyelitis and bone infection diagnosis using 99mTc-MDP SPECT/CT tomographic fusion imaging. The findings indicate that 99mTc-MDP SPECT/CT fusion imaging offers superior diagnostic accuracy compared to MRI. This is particularly evident in cases involving metallic implants and chronic infections. 99mTc-MDP SPECT/CT fusion imaging emerges as a highly suitable non-invasive diagnostic modality, facilitating enhanced clinical follow-up and treatment.
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Affiliation(s)
- Hao Gao
- Department of Orthopaedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Guoquan Li
- Department of Nuclear Medicine, First Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Congxiao Fu
- Department of Orthopaedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Jun Ren
- Department of Orthopaedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Fei Kang
- Department of Nuclear Medicine, First Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Wen Luo
- Department of Ultrasound, First Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Qian Yin
- Department of Radiology, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Cheng Zhou
- Department of Nuclear Medicine, First Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Bo Li
- Department of Radiology, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Shuaikun Lu
- Department of Orthopaedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Hu Wang
- Department of Orthopaedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Yong Zhang
- Department of Orthopaedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Yunfei Zhang
- Department of Orthopaedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
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13
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Liu F, Li X, Jiang ZL, Luo W, Gao H. [Comparing the impact of left bundle branch area pacing and traditional left ventricular pacing on right heart function following dual-chamber pacemaker implantation]. Zhonghua Xin Xue Guan Bing Za Zhi 2024; 52:180-184. [PMID: 38326070 DOI: 10.3760/cma.j.cn112148-20230912-00153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Objective: To compare the effects of left bundle branch area pacing (LBBaP) versus traditional right ventricular pacing (RVP) on left ventricular function in patients after dual-chamber pacemaker implantation. Methods: A retrospective cohort study was conducted on patients who underwent dual-chamber pacemaker implantation from March 2017 to April 2021 in Beijing Anzhen Hospital. The patients were divided into the LBBaP group and RVP group based on the placement of the ventricular lead. Follow-up was conducted until March 2022, comparing baseline and follow-up echocardiographic parameters, pacing parameters, and the incidence and timing of complications between the two groups. The complications included ventricular electrode perforation, dislocation, pericardial effusion, tricuspid valve perforation, etc. Results: A total of 163 patients aged (68.3±13.5) years were included, including 82 (50.3%) men, with 80 patients in the LBBaP group and 83 in the RVP group. Baseline left ventricular end-diastolic diameter ((50.49±4.95) mm vs. (47.43±8.15) mm, P=0.01) and left atrium (LA) ((33.14±5.94) mm vs. (30.18±3.92) mm, P=0.001) in the LBBaP group were significantly higher than those in the RVP group. Follow-up LA diameter ((37.10±6.70) mm vs. (40.10±8.90) mm, P=0.016) showed a statistically significant difference in the LBBaP group compared to the RVP group. There was no statistically significant difference between the two groups in baseline QRS duration(P=0.490). Postoperative QRS duration in the LBBaP group was significantly lower ((110.69±24.01) ms vs. (139.65±29.85) ms, P<0.010). Intraoperative threshold in the LBBaP group was significantly higher ((0.83±0.32) V/0.48 ms vs. (0.71±0.23) V/0.48 ms, P=0.004), while impedance was lower ((754.53±205.59) Ω vs. (905.41±302.75) Ω, P<0.01). Comparing with the RVP group, postoperative ventricular pacing ratio (VP) ((87.39±20.92) % vs. (79.49±25.76) %, P=0.034), threshold ((0.90±0.38) V/0.48 ms vs. (0.69±0.27) V/0.48 ms, P<0.01) in the LBBaP group were higher, and impedance ((507.45±77.37) Ω vs. (620.52±197.29) Ω, P<0.01) in the LBBaP group was lower. Postoperative follow-up period was 5 to 51 months, with a median follow-up time of 17 months. No statistically significant difference in overall complications between the LBBaP and RVP groups was found (13.8% (11/80) vs. 7.2% (6/83), P>0.05). The median time to occurrence of complications after surgery was significantly earlier in the LBBaP group (29.74 (95%CI 27.21-32.26) months vs. 46.17 (95%CI 42.48-49.86) months, P=0.030). Conclusion: LBBaP demonstrates more stable pacing parameters, substantial improvement in clinical left ventricular function, with a relatively higher threshold compared to traditional RVP, and complications occurs relatively early.
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Affiliation(s)
- F Liu
- Deparment of Cardiology, Emergency Coronary Artery Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - X Li
- Deparment of Cardiology, Emergency Coronary Artery Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Z L Jiang
- Deparment of Cardiology, Emergency Coronary Artery Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - W Luo
- Deparment of Cardiology, Emergency Coronary Artery Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - H Gao
- Deparment of Cardiology, Emergency Coronary Artery Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
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Li H, Luo W, Baek E. Multilevel modeling in single-case studies with zero-inflated and overdispersed count data. Behav Res Methods 2024:10.3758/s13428-024-02359-7. [PMID: 38383801 DOI: 10.3758/s13428-024-02359-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2024] [Indexed: 02/23/2024]
Abstract
Count outcomes are frequently encountered in single-case experimental designs (SCEDs). Generalized linear mixed models (GLMMs) have shown promise in handling overdispersed count data. However, the presence of excessive zeros in the baseline phase of SCEDs introduces a more complex issue known as zero-inflation, often overlooked by researchers. This study aimed to deal with zero-inflated and overdispersed count data within a multiple-baseline design (MBD) in single-case studies. It examined the performance of various GLMMs (Poisson, negative binomial [NB], zero-inflated Poisson [ZIP], and zero-inflated negative binomial [ZINB] models) in estimating treatment effects and generating inferential statistics. Additionally, a real example was used to demonstrate the analysis of zero-inflated and overdispersed count data. The simulation results indicated that the ZINB model provided accurate estimates for treatment effects, while the other three models yielded biased estimates. The inferential statistics obtained from the ZINB model were reliable when the baseline rate was low. However, when the data were overdispersed but not zero-inflated, both the ZINB and ZIP models exhibited poor performance in accurately estimating treatment effects. These findings contribute to our understanding of using GLMMs to handle zero-inflated and overdispersed count data in SCEDs. The implications, limitations, and future research directions are also discussed.
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Affiliation(s)
- Haoran Li
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA.
| | - Wen Luo
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Eunkyeng Baek
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
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15
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Yang S, Sun J, Wang C, Li S, Li Z, Luo W, Wei G, Chen W. Residue quality drives SOC sequestration by altering microbial taxonomic composition and ecophysiological function in desert ecosystem. Environ Res 2024; 250:118518. [PMID: 38382662 DOI: 10.1016/j.envres.2024.118518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/14/2024] [Accepted: 02/16/2024] [Indexed: 02/23/2024]
Abstract
Plant residues are important sources of soil organic carbon in terrestrial ecosystems. The degradation of plant residue by microbes can influence the soil carbon cycle and sequestration. However, little is known about the microbial composition and function, as well as the accumulation of soil organic carbon (SOC) in response to the inputs of different quality plant residues in the desert environment. The present study evaluated the effects of plant residue addition from Pinus sylvestris var. mongolica (Pi), Artemisia desertorum (Ar) and Amorpha fruticosa (Am) on desert soil microbial community composition and function in a field experiment in the Mu Us Desert. The results showed that the addition of the three plant residues with different C/N ratios induced significant variation in soil microbial communities. The Am treatment (low C/N ratio) improved microbial diversity compared with the Ar and Pi treatments (medium and high C/N ratios). The variations in the taxonomic and functional compositions of the dominant phyla Actinobacteria and Proteobacteria were higher than those of the other phyla among the different treatments. Moreover, the network links between Proteobacteria and other phyla and the CAZyme genes abundances from Proteobacteria increased with increasing residue C/N, whereas those decreased for Actinobacteria. The SOC content of the Am, Ar and Pi treatments increased by 45.73%, 66.54% and 107.99%, respectively, as compared to the original soil. The net SOC accumulation was positively correlated with Proteobacteria abundance and negatively correlated with Actinobacteria abundance. These findings showed that changing the initial quality of plant residue from low C/N to high C/N can result in shifts in taxonomic and functional composition from Actinobacteria to Proteobacteria, which favors SOC accumulation. This study elucidates the ecophysiological roles of Actinobacteria and Proteobacteria in the desert carbon cycle, expands our understanding of the potential microbial-mediated mechanisms by which plant residue inputs affect SOC sequestration in desert soils, and provides valuable guidance for species selection in desert vegetation reconstruction.
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Affiliation(s)
- Shanshan Yang
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China
| | - Jieyu Sun
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China
| | - Chang Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China
| | - Shuyue Li
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China
| | - Zubing Li
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China
| | - Wen Luo
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China
| | - Gehong Wei
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China
| | - Weimin Chen
- State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Shaanxi, China.
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Huang R, Chen J, Dong X, Zhang X, Luo W. Transcriptome Data Revealed the circRNA-miRNA-mRNA Regulatory Network during the Proliferation and Differentiation of Myoblasts in Shitou Goose. Animals (Basel) 2024; 14:576. [PMID: 38396545 PMCID: PMC10885906 DOI: 10.3390/ani14040576] [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: 01/05/2024] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
CircRNA, a recently characterized non-coding RNA (ncRNA) variant, functions as a molecular sponge, exerting regulatory control by binding to microRNA (miRNA) and modulating the expression of downstream proteins, either promoting or inhibiting their expression. Among poultry species, geese hold significant importance, prized by consumers for their delectable taste and rich nutritional content. Despite the prominence of geese, research on the growth and development of goose muscle, particularly the regulatory role of circRNAs in goose muscle formation, remains insufficiently explored. In this study, we constructed comprehensive expression profiles of circRNAs and messenger RNAs (mRNAs) within the myoblasts and myotubes of Shitou geese. We identified a total of 96 differentially expressed circRNAs (DEcircRNAs) and 880 differentially expressed mRNAs (DEmRNAs). Notably, the parental genes of DEcircRNAs and DEmRNAs exhibited enrichment in the Wnt signaling pathway, highlighting its potential impact on the proliferation and differentiation of goose myoblasts. Employing RNAhybrid and miRDB, we identified circRNA-miRNA pairs and mRNA-miRNA pairs that may play a role in regulating myogenic differentiation or muscle growth. Subsequently, utilizing Cytoscape, we constructed a circRNA-miRNA-mRNA interaction network aimed at unraveling the intricate regulatory mechanisms involved in goose muscle growth and development, which comprises 93 circRNAs, 351 miRNAs, and 305 mRNAs. Moreover, the identification of 10 hub genes (ACTB, ACTN1, BDNF, PDGFRA, MYL1, EFNA5, MYSM1, THBS1, ITGA8, and ELN) potentially linked to myogenesis, along with the exploration of their circRNA-miRNA-hub gene regulatory axis, was also conducted. These competitive endogenous RNA (ceRNA) regulatory networks elucidate the molecular regulatory mechanisms associated with muscle growth in Shitou geese, providing deeper insights into the reciprocal regulation of circRNA, miRNA, and mRNA in the context of goose muscle formation.
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Affiliation(s)
- Rongqin Huang
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (R.H.)
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Jiahui Chen
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (R.H.)
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Xu Dong
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (R.H.)
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Xiquan Zhang
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (R.H.)
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Wen Luo
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (R.H.)
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
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17
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Pan R, Qi L, Xu Z, Zhang D, Nie Q, Zhang X, Luo W. Weighted single-step GWAS identified candidate genes associated with carcass traits in a Chinese yellow-feathered chicken population. Poult Sci 2024; 103:103341. [PMID: 38134459 PMCID: PMC10776626 DOI: 10.1016/j.psj.2023.103341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
Carcass traits in broiler chickens are complex traits that are influenced by multiple genes. To gain deeper insights into the genetic mechanisms underlying carcass traits, here we conducted a weighted single-step genome-wide association study (wssGWAS) in a population of Chinese yellow-feathered chicken. The objective was to identify genomic regions and candidate genes associated with carcass weight (CW), eviscerated weight with giblets (EWG), eviscerated weight (EW), breast muscle weight (BMW), drumstick weight (DW), abdominal fat weight (AFW), abdominal fat percentage (AFP), gizzard weight (GW), and intestine length (IL). A total of 1,338 broiler chickens with phenotypic and pedigree information were included in this study. Of these, 435 chickens were genotyped using a 600K single nucleotide polymorphism chip for association analysis. The results indicate that the most significant regions for 9 traits explained 2.38% to 5.09% of the phenotypic variation, from which the region of 194.53 to 194.63Mb on chromosome 1 with the gene RELT and FAM168A identified on it was significantly associated with CW, EWG, EW, BMW, and DW. Meanwhile, the 5 traits have a strong genetic correlation, indicating that the region and the genes can be used for further research. In addition, some candidate genes associated with skeletal muscle development, fat deposition regulation, intestinal repair, and protection were identified. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses suggested that the genes are involved in processes such as vascular development (CD34, FGF7, FGFR3, ITGB1BP1, SEMA5A, LOXL2), bone formation (FGFR3, MATN1, MEF2D, DHRS3, SKI, STC1, HOXB1, HOXB3, TIPARP), and anatomical size regulation (ADD2, AKT1, CFTR, EDN3, FLII, HCLS1, ITGB1BP1, SEMA5A, SHC1, ULK1, DSTN, GSK3B, BORCS8, GRIP2). In conclusion, the integration of phenotype, genotype, and pedigree information without creating pseudo-phenotype will facilitate the genetic improvement of carcass traits in chickens, providing valuable insights into the genetic architecture and potential candidate genes underlying carcass traits, enriching our understanding and contributing to the breeding of high-quality broiler chickens.
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Affiliation(s)
- Rongyang Pan
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Xugang Yellow Poultry Seed Industry Group Co., Ltd, Jiangmen City, Guangdong Province, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Lin Qi
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhenqiang Xu
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Dexiang Zhang
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Qinghua Nie
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiquan Zhang
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Wen Luo
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
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18
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Tang M, Luo W, Zhou Y, Zhang Z, Jiang Z. Anoikis-related gene CDKN2A predicts prognosis and immune response and mediates proliferation and migration in thyroid carcinoma. Transl Oncol 2024; 40:101873. [PMID: 38141377 PMCID: PMC10788268 DOI: 10.1016/j.tranon.2023.101873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 11/25/2023] [Accepted: 12/18/2023] [Indexed: 12/25/2023] Open
Abstract
Thyroid carcinoma (THCA) is a tumor commonly occurring in the endocrine system, and its incidence rate is increasing yearly. Anoikis is a type of cell death involved in the carcinogenesis process. This study aimed to investigate the prognosis and immune correlations of anoikis in THCA. Our study used several bioinformatics algorithms (co-expression analysis, univariate and multivariate Cox analysis) to screen anoikis-related genes (ARGs) to construct risk models. Through receiver operating characteristic (ROC) curve, nomogram, and independent prognostic analysis found that the constructed model had ideal predictive value for THCA. The consensus clustering method was used to divide ARG patterns into three subgroups, and there were significant differences in survival among the three subgroups. The CIBERSORT algorithm demonstrated strong correlations among immune infiltrating cells, prognostic genes, and risk scores. Univariate and multivariate Cox analysis showed that CDKN2A is an independent prognostic gene. Basic experiments (immunohistochemistry, qRT-PCR, etc.) showed that the expression levels of CDKN2A mRNA and protein were highly expressed in THCA, which was consistent with the results of bioinformatics analysis. In vitro, the knockdown of CDKN2A significantly inhibited the proliferation and migration of THCA cells. In summary, our study utilized eight ARGs to construct an accurate risk model. ARGs, especially CDKN2A, play a crucial role in the occurrence and development of THCA and can become potential targets for treating THCA patients.
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Affiliation(s)
- Mengjie Tang
- Department of Pathology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Wen Luo
- Department of Nuclear Medicine, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yusong Zhou
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhun Zhang
- Department of Breast and Thyroid Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.
| | - Zhongjun Jiang
- Department of Thyroid and Breast Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China.
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19
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Chen G, Chen J, Qi L, Yin Y, Lin Z, Wen H, Zhang S, Xiao C, Bello SF, Zhang X, Nie Q, Luo W. Bulk and single-cell alternative splicing analyses reveal roles of TRA2B in myogenic differentiation. Cell Prolif 2024; 57:e13545. [PMID: 37705195 PMCID: PMC10849790 DOI: 10.1111/cpr.13545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/08/2023] [Accepted: 08/28/2023] [Indexed: 09/15/2023] Open
Abstract
Alternative splicing (AS) disruption has been linked to disorders of muscle development, as well as muscular atrophy. However, the precise changes in AS patterns that occur during myogenesis are not well understood. Here, we employed isoform long-reads RNA-seq (Iso-seq) and single-cell RNA-seq (scRNA-seq) to investigate the AS landscape during myogenesis. Our Iso-seq data identified 61,146 full-length isoforms representing 11,682 expressed genes, of which over 52% were novel. We identified 38,022 AS events, with most of these events altering coding sequences and exhibiting stage-specific splicing patterns. We identified AS dynamics in different types of muscle cells through scRNA-seq analysis, revealing genes essential for the contractile muscle system and cytoskeleton that undergo differential splicing across cell types. Gene-splicing analysis demonstrated that AS acts as a regulator, independent of changes in overall gene expression. Two isoforms of splicing factor TRA2B play distinct roles in myogenic differentiation by triggering AS of TGFBR2 to regulate canonical TGF-β signalling cascades differently. Our study provides a valuable transcriptome resource for myogenesis and reveals the complexity of AS and its regulation during myogenesis.
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Affiliation(s)
- Genghua Chen
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Jiahui Chen
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Lin Qi
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Yunqian Yin
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Zetong Lin
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Huaqiang Wen
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Shuai Zhang
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Chuanyun Xiao
- Human and Animal PhysiologyWageningen UniversityWageningenThe Netherlands
| | - Semiu Folaniyi Bello
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Xiquan Zhang
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Qinghua Nie
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Wen Luo
- College of Animal ScienceSouth China Agricultural UniversityGuangzhouGuangdongChina
- Guangdong Provincial Key Lab of Agro‐Animal Genomics and Molecular Breeding, Lingnan Guangdong Laboratory of Modern Agriculture & State Key Laboratory for Conservation and Utilization of Subtropical Agro‐Bioresources, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of AgricultureGuangzhouGuangdongChina
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of AgricultureSouth China Agricultural UniversityGuangzhouChina
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20
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Dorion MF, Yaqubi M, Senkevich K, Kieran NW, MacDonald A, Chen CXQ, Luo W, Wallis A, Shlaifer I, Hall JA, Dudley RWR, Glass IA, Stratton JA, Fon EA, Bartels T, Antel JP, Gan-or Z, Durcan TM, Healy LM. MerTK is a mediator of alpha-synuclein fibril uptake by human microglia. Brain 2024; 147:427-443. [PMID: 37671615 PMCID: PMC10834256 DOI: 10.1093/brain/awad298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 07/26/2023] [Accepted: 08/29/2023] [Indexed: 09/07/2023] Open
Abstract
Mer tyrosine kinase (MerTK) is a receptor tyrosine kinase that mediates non-inflammatory, homeostatic phagocytosis of diverse types of cellular debris. Highly expressed on the surface of microglial cells, MerTK is of importance in brain development, homeostasis, plasticity and disease. Yet, involvement of this receptor in the clearance of protein aggregates that accumulate with ageing and in neurodegenerative diseases has yet to be defined. The current study explored the function of MerTK in the microglial uptake of alpha-synuclein fibrils which play a causative role in the pathobiology of synucleinopathies. Using human primary and induced pluripotent stem cell-derived microglia, the MerTK-dependence of alpha-synuclein fibril internalization was investigated in vitro. Relevance of this pathway in synucleinopathies was assessed through burden analysis of MERTK variants and analysis of MerTK expression in patient-derived cells and tissues. Pharmacological inhibition of MerTK and siRNA-mediated MERTK knockdown both caused a decreased rate of alpha-synuclein fibril internalization by human microglia. Consistent with the non-inflammatory nature of MerTK-mediated phagocytosis, alpha-synuclein fibril internalization was not observed to induce secretion of pro-inflammatory cytokines such as IL-6 or TNF, and downmodulated IL-1β secretion from microglia. Burden analysis in two independent patient cohorts revealed a significant association between rare functionally deleterious MERTK variants and Parkinson's disease in one of the cohorts (P = 0.002). Despite a small upregulation in MERTK mRNA expression in nigral microglia from Parkinson's disease/Lewy body dementia patients compared to those from non-neurological control donors in a single-nuclei RNA-sequencing dataset (P = 5.08 × 10-21), no significant upregulation in MerTK protein expression was observed in human cortex and substantia nigra lysates from Lewy body dementia patients compared to controls. Taken together, our findings define a novel role for MerTK in mediating the uptake of alpha-synuclein fibrils by human microglia, with possible involvement in limiting alpha-synuclein spread in synucleinopathies such as Parkinson's disease. Upregulation of this pathway in synucleinopathies could have therapeutic values in enhancing alpha-synuclein fibril clearance in the brain.
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Affiliation(s)
- Marie-France Dorion
- Early Drug Discovery Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Neuroimmunology Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Moein Yaqubi
- Neuroimmunology Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Konstantin Senkevich
- McGill Parkinson Program and Neurodegenerative Diseases Group, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Human Genetics, McGill University, Montreal H3A 0C7, Canada
| | - Nicholas W Kieran
- Neuroimmunology Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Adam MacDonald
- Neuroimmunology Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Carol X Q Chen
- Early Drug Discovery Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Wen Luo
- Early Drug Discovery Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Amber Wallis
- UK Dementia Research Institute, University College London, London WC1E 6BT, UK
| | - Irina Shlaifer
- Early Drug Discovery Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Jeffery A Hall
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Roy W R Dudley
- Department of Pediatric Surgery, Division of Neurosurgery, Montreal Children's Hospital, McGill University Health Centers, Montreal H4A 3J1, Canada
| | - Ian A Glass
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | | | - Jo Anne Stratton
- Neuroimmunology Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Edward A Fon
- Early Drug Discovery Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- McGill Parkinson Program and Neurodegenerative Diseases Group, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Tim Bartels
- UK Dementia Research Institute, University College London, London WC1E 6BT, UK
| | - Jack P Antel
- Neuroimmunology Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Ziv Gan-or
- McGill Parkinson Program and Neurodegenerative Diseases Group, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Human Genetics, McGill University, Montreal H3A 0C7, Canada
| | - Thomas M Durcan
- Early Drug Discovery Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
| | - Luke M Healy
- Neuroimmunology Unit, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal H3A 2B4, Canada
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21
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Jin C, Cheng K, Jiang R, Zhang Y, Luo W. A Novel Kunitz-Type Serine Protease Inhibitor (HcKuSPI) is Involved in Antibacterial Defense in Innate Immunity and Participates in Shell Formation of Hyriopsis cumingii. Mar Biotechnol (NY) 2024; 26:37-49. [PMID: 38117374 DOI: 10.1007/s10126-023-10275-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/07/2023] [Indexed: 12/21/2023]
Abstract
Serine protease inhibitors (SPIs) are abundantly reported for its inhibition against specific proteases involved in the immune responses, but SPI data related to calcareous shells are scarce. Previously, our research group has reported the proteome analysis of non-nucleated pearl powder, and a candidate matrix protein containing two Kunitz domains in the acid soluble fraction caught our attention. In the present study, the full-length cDNA sequence of HcKuSPI was obtained from Hyriopsis cumingii. HcKuSPI was specifically expressed in the mantle, with hybridization signals mainly concentrated to dorsal epithelial cells at the mantle edge and weak signals at the mantle pallium, suggesting HcKuSPI was involved in shell formation. HcKuSPI expression in the mantle was upregulated after Aeromonas hydrophila and Staphylococcus aureus challenge to extrapallial fluids (EPFs). A glutathione S transferase (GST)-HcKuSPI recombinant protein showed strong inhibitory activity against the proteases, trypsin and chymotrypsin. Moreover, HcKuSPI expression in an experimental group was significantly higher when compared with a control group during pellicle growth and crystal deposition in shell regeneration processes, while the organic shell framework of newborn prisms and nacre tablets was completely destroyed after HcKuSPI RNA interference (RNAi). Therefore, HcKuSPI secreted by the mantle may effectively neutralize excess proteases and bacterial proteases in the EPF during bacterial infection and could prevent matrix protein extracellular degradation by suppressing protease proteolytic activity, thereby ensuring a smooth shell biomineralization. In addition, GST-HcKuSPI was also crucial for crystal morphology regulation. These results have important implications for our understanding of the potential roles of SPIs during shell biomineralization.
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Affiliation(s)
- Can Jin
- School of Life and Environmental Sciences, Shaoxing University, Shaoxing, 312000, People's Republic of China
| | - Kang Cheng
- School of Life and Environmental Sciences, Shaoxing University, Shaoxing, 312000, People's Republic of China
| | - Rui Jiang
- School of Life and Environmental Sciences, Shaoxing University, Shaoxing, 312000, People's Republic of China
| | - Yihang Zhang
- School of Life and Environmental Sciences, Shaoxing University, Shaoxing, 312000, People's Republic of China
| | - Wen Luo
- School of Life and Environmental Sciences, Shaoxing University, Shaoxing, 312000, People's Republic of China.
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22
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Chen G, Lin Z, Peng H, Zhang S, Zhang Z, Zhang X, Nie Q, Luo W. The transmembrane protein TMEM182 promotes fat deposition and alters metabolomics and lipidomics. Int J Biol Macromol 2024; 259:129144. [PMID: 38181918 DOI: 10.1016/j.ijbiomac.2023.129144] [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: 10/29/2023] [Revised: 12/10/2023] [Accepted: 12/28/2023] [Indexed: 01/07/2024]
Abstract
TMEM182, a transmembrane protein highly expressed in muscle and adipose tissues, plays a crucial role in muscle cell differentiation, metabolism, and signaling. However, its role in fat deposition and metabolism is still unknown. In this study, we used overexpression and knockout models to examine the impact of TMEM182 on fat synthesis and metabolism. Our results showed that TMEM182 overexpression increased the expression of fat synthesis-related genes and promoted the differentiation of preadipocytes into fat cells. In TMEM182 knockout mice, there was a significant decrease in abdominal fat deposition. RNA sequencing results showed that TMEM182 overexpression in preadipocytes enhanced the activity of pathways related to fat formation, ECM-receptor interaction, and cell adhesion. Furthermore, our analysis using UPLC-MS/MS showed that TMEM182 significantly altered the metabolite and lipid content and composition in chicken breast muscle. Specifically, TMEM182 increased the content of amino acids and their derivatives in chicken breast muscle, promoting amino acid metabolic pathways. Lipidomics also revealed a significant increase in the content of glycerophospholipids, sphingolipids, and phospholipids in the breast muscle after TMEM182 overexpression. These findings suggest that TMEM182 plays a crucial role in regulating fat deposition and metabolism, making it a potential target for treating obesity-related diseases and animal breeding.
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Affiliation(s)
- Genghua Chen
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Zetong Lin
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Haoqi Peng
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Shuai Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Zihao Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Xiquan Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Qinghua Nie
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Wen Luo
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
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23
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Luo W, Wang C, Wang W, Yao X, Lu F, Wu D, Lin Y. Serum uric acid is inversely associated with lung function in US adults. Sci Rep 2024; 14:1300. [PMID: 38221538 PMCID: PMC10788334 DOI: 10.1038/s41598-024-51808-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024] Open
Abstract
The relationship between serum uric acid and lung function has been controversial. This study aims to determine whether there is an independent relationship between serum uric acid and lung function in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2012. Serum uric acid was considered the exposure variable, and lung function (FEV1 and FVC) was the outcome variable. Multivariable linear regression was conducted with adjustments for potential confounders. The total number of participants from NHANES (2007-2012) was 30,442, of which 7514 were included in our analysis after applying exclusion criteria. We observed that serum uric acid was negatively associated with FEV1 and FVC after adjusting for confounders (β for FEV1 [- 24.77 (- 36.11, - 13.43)] and FVC [- 32.93 (- 47.42, - 18.45)]). Similarly, serum uric acid showed a negative correlation with FEV1 and FVC after adjusting for confounding variables both in male and female populations. The relationship between serum uric acid and FEV1 and FVC remained consistent and robust in various subgroups within both male and female populations, including age, race, BMI, alcohol consumption, smoking status, and income-poverty ratio. Serum uric acid is negatively associated with FEV1 and FVC in the US general healthy population. This negative relationship is significant in both the male and female populations.
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Affiliation(s)
- Wen Luo
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Chen Wang
- Department of Neurology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Wanyu Wang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Xiangyang Yao
- Department of Pulmonary, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Fang Lu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China
| | - Dinghui Wu
- Department of Pulmonary, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China.
| | - Yihua Lin
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China.
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24
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Zhou H, Li Y, Fang R, Li J, Hong C, Luo W. A dicyanoisophorone-based long-wavelength fluorescent probe for detection of cysteine in vitro and in vivo. Spectrochim Acta A Mol Biomol Spectrosc 2024; 304:123403. [PMID: 37716047 DOI: 10.1016/j.saa.2023.123403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/02/2023] [Accepted: 09/11/2023] [Indexed: 09/18/2023]
Abstract
In this research, an "off-on" long-wavelength fluorescent probe (DCMN-Cl) based on (E)-2-(3-(2-(6-hydroxynaphthalen-2-yl)vinyl)-5,5-dimethylcyclohex-2-en-1-ylidene) malononitrile (DCMN) is designed and synthesized for cysteine (Cys) detection. DCMN-Cl exhibits a large Stokes shift (211 nm) and shows rapid response and high specificity to Cys. The fluorescence initensity at 635 nm reveals a good linear relationship with Cys concentration in the 0 to 50 μM range, and the detection limit is as low as 159 nM. The probe is also used for fluorescence imaging of Cys in cells and mice. Moreover, the probe provided visual evidence of Cu2+ and curcumin-induced intracellular Cys fluctuations.
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Affiliation(s)
- Hui Zhou
- Huaihe Hospital, Henan University, Kaifeng 475004, China; Key Laboratory of Natural Medicine and Immuno-Engineering, Henan University, Kaifeng 475004, China
| | - Yang Li
- Key Laboratory of Natural Medicine and Immuno-Engineering, Henan University, Kaifeng 475004, China
| | - Ru Fang
- Key Laboratory of Natural Medicine and Immuno-Engineering, Henan University, Kaifeng 475004, China
| | - Jinghua Li
- Key Laboratory of Natural Medicine and Immuno-Engineering, Henan University, Kaifeng 475004, China
| | - Chen Hong
- Huaihe Hospital, Henan University, Kaifeng 475004, China.
| | - Wen Luo
- Key Laboratory of Natural Medicine and Immuno-Engineering, Henan University, Kaifeng 475004, China.
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25
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Liu Z, Luo Y, Kirimunda S, Verboom M, Onabajo OO, Gouveia MH, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Otim I, Legason ID, Nabalende H, Dhudha H, Ayers LW, Bhatia K, Goedert JJ, Cole N, Luo W, Liu J, Manning M, Hicks B, Prokunina-Olsson L, Chagaluka G, Johnston WT, Mutalima N, Borgstein E, Liomba GN, Kamiza S, Mkandawire N, Mitambo C, Molyneux EM, Newton R, Hsing AW, Mensah JE, Adjei AA, Hutchinson A, Carrington M, Yeager M, Blasczyk R, Chanock SJ, Raychaudhuri S, Mbulaiteye SM. Human leukocyte antigen-DQA1*04:01 and rs2040406 variants are associated with elevated risk of childhood Burkitt lymphoma. Commun Biol 2024; 7:41. [PMID: 38182727 PMCID: PMC10770398 DOI: 10.1038/s42003-023-05701-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 12/12/2023] [Indexed: 01/07/2024] Open
Abstract
Burkitt lymphoma (BL) is responsible for many childhood cancers in sub-Saharan Africa, where it is linked to recurrent or chronic infection by Epstein-Barr virus or Plasmodium falciparum. However, whether human leukocyte antigen (HLA) polymorphisms, which regulate immune response, are associated with BL has not been well investigated, which limits our understanding of BL etiology. Here we investigate this association among 4,645 children aged 0-15 years, 800 with BL, enrolled in Uganda, Tanzania, Kenya, and Malawi. HLA alleles are imputed with accuracy >90% for HLA class I and 85-89% for class II alleles. BL risk is elevated with HLA-DQA1*04:01 (adjusted odds ratio [OR] = 1.61, 95% confidence interval [CI] = 1.32-1.97, P = 3.71 × 10-6), with rs2040406(G) in HLA-DQA1 region (OR = 1.43, 95% CI = 1.26-1.63, P = 4.62 × 10-8), and with amino acid Gln at position 53 versus other variants in HLA-DQA1 (OR = 1.36, P = 2.06 × 10-6). The associations with HLA-DQA1*04:01 (OR = 1.29, P = 0.03) and rs2040406(G) (OR = 1.68, P = 0.019) persist in mutually adjusted models. The higher risk rs2040406(G) variant for BL is associated with decreased HLA-DQB1 expression in eQTLs in EBV transformed lymphocytes. Our results support the role of HLA variation in the etiology of BL and suggest that a promising area of research might be understanding the link between HLA variation and EBV control.
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Affiliation(s)
- Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yang Luo
- Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuel Kirimunda
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Murielle Verboom
- Institute of Transfusion Medicine and Transplant Engineering, Hanover, Germany
| | - Olusegun O Onabajo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mateus H Gouveia
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Martin D Ogwang
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Kuluva Hospital, Arua, Uganda
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Constance N Tenge
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Moi University College of Health Sciences, Eldoret, Kenya
| | - Pamela A Were
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T Kuremu
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N Wekesa
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Kuluva Hospital, Arua, Uganda
| | - Hadijah Nabalende
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Herry Dhudha
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathan Cole
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jia Liu
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Michelle Manning
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - George Chagaluka
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - W Thomas Johnston
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Nora Mutalima
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Eric Borgstein
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - George N Liomba
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Steve Kamiza
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Nyengo Mkandawire
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Collins Mitambo
- National Health Sciences Research Committee, Research Department, Ministry of Health, Lilongwe, Malawi
| | - Elizabeth M Molyneux
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Robert Newton
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Ann W Hsing
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | | | | | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Rainer Blasczyk
- Institute of Transfusion Medicine and Transplant Engineering, Hanover, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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26
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Hong HG, Gouveia MH, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Wang X, Zhou J, Leal TP, Otim I, Legason ID, Nabalende H, Dhudha H, Mumia M, Baker FS, Okusolubo T, Ayers LW, Bhatia K, Goedert JJ, Woo J, Manning M, Cole N, Luo W, Hicks B, Chagaluka G, Johnston WT, Mutalima N, Borgstein E, Liomba GN, Kamiza S, Mkandawire N, Mitambo C, Molyneux EM, Newton R, Hutchinson A, Yeager M, Adeyemo AA, Thein SL, Rotimi CN, Chanock SJ, Prokunina-Olsson L, Mbulaiteye SM. Sickle cell allele HBB-rs334(T) is associated with decreased risk of childhood Burkitt lymphoma in East Africa. Am J Hematol 2024; 99:113-123. [PMID: 38009642 PMCID: PMC10872868 DOI: 10.1002/ajh.27149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/30/2023] [Accepted: 10/23/2023] [Indexed: 11/29/2023]
Abstract
Burkitt lymphoma (BL) is an aggressive B-cell lymphoma that significantly contributes to childhood cancer burden in sub-Saharan Africa. Plasmodium falciparum, which causes malaria, is geographically associated with BL, but the evidence remains insufficient for causal inference. Inference could be strengthened by demonstrating that mendelian genes known to protect against malaria-such as the sickle cell trait variant, HBB-rs334(T)-also protect against BL. We investigated this hypothesis among 800 BL cases and 3845 controls in four East African countries using genome-scan data to detect polymorphisms in 22 genes known to affect malaria risk. We fit generalized linear mixed models to estimate odds ratios (OR) and 95% confidence intervals (95% CI), controlling for age, sex, country, and ancestry. The ORs of the loci with BL and P. falciparum infection among controls were correlated (Spearman's ρ = 0.37, p = .039). HBB-rs334(T) was associated with lower P. falciparum infection risk among controls (OR = 0.752, 95% CI 0.628-0.9; p = .00189) and BL risk (OR = 0.687, 95% CI 0.533-0.885; p = .0037). ABO-rs8176703(T) was associated with decreased risk of BL (OR = 0.591, 95% CI 0.379-0.992; p = .00271), but not of P. falciparum infection. Our results increase support for the etiological correlation between P. falciparum and BL risk.
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Affiliation(s)
- Hyokyoung G. Hong
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Mateus H. Gouveia
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Martin D. Ogwang
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
| | - Steven J. Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Pamela A. Were
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T. Kuremu
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N. Wekesa
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Xunde Wang
- Sickle Cell Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USAs
| | - Jiefu Zhou
- Department of Statistics and Probability, Michigan State University, MI, USA
| | - Thiago Peixoto Leal
- Lerner Research Institute, Genomic Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Isaac Otim
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D. Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Herry Dhudha
- EMBLEM Study, Bugando Medical Center, Mwanza, Tanzania
| | - Mediatrix Mumia
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Francine S. Baker
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Temiloluwa Okusolubo
- Sickle Cell Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USAs
| | - Leona W. Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Joshua Woo
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Michelle Manning
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Nathan Cole
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - George Chagaluka
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - W Thomas Johnston
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Nora Mutalima
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Eric Borgstein
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - George N. Liomba
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Steve Kamiza
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Nyengo Mkandawire
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | | | - Elizabeth M. Molyneux
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Robert Newton
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Adebowale A. Adeyemo
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Swee Lay Thein
- Sickle Cell Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USAs
| | - Charles N. Rotimi
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Sam M. Mbulaiteye
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
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27
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Zhou K, Luo W, Gui DD, Ren Z, Wei DH, Liu LS, Li GH, Tang ZH, Xiong WH, Hu HJ, Jiang ZS. Hydrogen sulfide attenuates atherosclerosis induced by low shear stress by sulfhydrylating endothelium NFIL3 to restrain MEST mediated endothelial mesenchymal transformation. Nitric Oxide 2024; 142:47-57. [PMID: 38049061 DOI: 10.1016/j.niox.2023.11.005] [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: 07/26/2023] [Revised: 10/17/2023] [Accepted: 11/23/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Endothelial-mesenchymal transition (EndMT) induced by low shear stress plays an important role in the development of atherosclerosis. However, little is known about the correlation between hydrogen sulfide (H2S), a protective gaseous mediator in atherosclerosis and the process of EndMT. METHODS We constructed a stable low-shear-stress-induced(2 dyn/cm2) EndMT model, acombined with the pretreatment method of hydrogen sulfide slow release agent(GYY4137). The level of MEST was detected in the common carotid artery of ApoE-/- mice with local carotid artery ligation. The effect of MEST on atherosclerosis development in vivo was verified using ApoE-/- mice were given tail-vein injection of endothelial-specific overexpressed and knock-down MEST adeno-associated virus (AAV). RESULTS These findings confirmed that MEST is up-regulated in low-shear-stress-induced EndMT and atherosclerosis. In vivo experiments showed that MEST gene overexpression significantly promoted EndMT and aggravated the development of atherosclerotic plaques and MEST gene knockdown significantly inhibited EndMT and delayed the process of atherosclerosis. In vitro, H2S inhibits the expression of MEST and EndMT induced by low shear stress and inhibits EndMT induced by MEST overexpression. Knockdown of NFIL3 inhibit the up regulation of MEST and EndMT induced by low shear stress in HUVECs. CHIP-qPCR assay and Luciferase Reporter assay confirmed that NFIL3 binds to MEST DNA, increases its transcription and H2S inhibits the binding of NFIL3 and MEST DNA, weakening NFIL3's transcriptional promotion of MEST. Mechanistically, H2S increased the sulfhydrylation level of NFIL3, an important upstream transcription factors of MEST. In part, transcription factor NFIL3 restrain its binding to MEST DNA by sulfhydration. CONCLUSIONS H2S negatively regulate the expression of MEST by sulfhydrylation of NFIL3, thereby inhibiting low-shear-stress-induced EndMT and atherosclerosis.
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Affiliation(s)
- Kun Zhou
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Wen Luo
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China; Department of Basic Medicine, Changsha Health Vocational College, Changsha, 410699, China.
| | - Dan-Dan Gui
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Zhong Ren
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Dang-Heng Wei
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Lu-Shan Liu
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Guo-Hua Li
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Zhi-Han Tang
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Wen-Hao Xiong
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Heng-Jing Hu
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang City, Hunan Province, 421001, China.
| | - Zhi-Sheng Jiang
- Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, Hengyang Medical School, University of South China, Hengyang, 421001, China.
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Zhang Z, Luo W, Chen G, Chen J, Lin S, Ren T, Lin Z, Zhao C, Wen H, Nie Q, Meng X, Zhang X. Chicken muscle antibody array reveals the regulations of LDHA on myoblast differentiation through energy metabolism. Int J Biol Macromol 2024; 254:127629. [PMID: 37890747 DOI: 10.1016/j.ijbiomac.2023.127629] [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: 08/08/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 10/29/2023]
Abstract
Myoblast proliferation and differentiation are highly dynamic and regulated processes in skeletal muscle development. Given that proteins serve as the executors for the majority of biological processes, exploring key regulatory factors and mechanisms at the protein level offers substantial opportunities for understanding the skeletal muscle development. In this study, a total of 607 differentially expressed proteins between proliferation and differentiation in myoblasts were screened out using our chicken muscle antibody array. Biological function analysis revealed the importance of energy production processes and compound metabolic processes in myogenesis. Our antibody array specifically identified an upregulation of LDHA during differentiation, which was associated with the energy metabolism. Subsequent investigation demonstrated that LDHA promoted the glycolysis and TCA cycle, thereby enhancing myoblasts differentiation. Mechanistically, LDHA promotes the glycolysis and TCA cycle but inhibits the ETC oxidative phosphorylation through enhancing the NADH cycle, providing the intermediate metabolites that improve the myoblasts differentiation. Additionally, increased glycolytic ATP by LDHA induces Akt phosphorylation and activate the PI3K-Akt pathway, which might also contribute to the promotion of myoblasts differentiation. Our studies not only present a powerful tool for exploring myogenic regulatory factors in chicken muscle, but also identify a novel role for LDHA in modulating myoblast differentiation through its regulation of cellular NAD+ levels and subsequent downstream effects on mitochondrial function.
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Affiliation(s)
- Zihao Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China; College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Wen Luo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China; Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Department of Orthaepedics and Traumatology, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Genghua Chen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Jiahui Chen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Shudai Lin
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Tuanhui Ren
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Zetong Lin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Changbin Zhao
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Huaqiang Wen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China; Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Xun Meng
- School of Life Sciences, Northwest University, Xi'an 710069, China; Abmart, 333 Guiping Road, Shanghai 200033, China.
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510642, China; Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
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Gong L, Chen K, Zhang H, Zhang S, Luo W, Zhou W, Zhang B, Xu R, Xi C. Higher Cognitive Reserve Is Beneficial for Cognitive Performance Via Various Locus Coeruleus Functional Pathways in the Pre-Dementia Stage of Alzheimer's Disease. J Prev Alzheimers Dis 2024; 11:484-494. [PMID: 38374755 DOI: 10.14283/jpad.2023.127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Cognitive reserve (CR) shows protective effects on cognitive function in older adult and in Alzheimer's disease (AD). However, the brain mechanisms underlying the CR effect on the non-dementia AD spectrum (subjective cognitive decline (SCD) and mild cognitive impairment (MCI)) are unknown. The aim of this study was to investigate the potential moderate effect of CR on brain functional networks associated with cognitive performance. METHODS We selected 200 participants, including 48 cognitively normal (CN) and 56 SCD, and 96 patients with MCI from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Seed-based locus coeruleus functional connectivity (LC FC) was conducted to detect early brain functional changes in the non-dementia AD spectrum. CR was assessed via years of education and intelligence (IQ). The ANDI composite executive function scores (ADNI-EF) and ADNI composite memory scores (ANDI-MEM) at baseline and 24-month follow-up were used to assess cognitive performance. RESULTS Compared to the CN group, the SCD group showed abnormal LC FC with the executive control network (dorsolateral prefrontal cortex, DLPFC), salience network, sensorimotor network, reward network, and hippocampus, while these alterations were inverted at the MCI stage. The LC-hippocampus FC was correlated with ADNI-MEM at baseline and follow-up, and these relationships were moderated by education. The LC-DLPFC FC was correlated with ADNI-EF at baseline, and this association was moderated by IQ. CONCLUSION Our results manifested that higher levels of CR would confer protective effects on SCD and MCI. Furthermore, IQ and education could moderate the relationship between LC FC and cognition through different pathways.
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Affiliation(s)
- L Gong
- Liang Gong and Chunhua XI: Gong, Department of Neurology, Chengdu Second People's Hospital, Qingyunnan Road 10, Chengdu, Sichuan 610017, China; ; Tel: +86 17360251891; Fax: +86 28 67830800; Xi, Department of Neurology, The Third Affiliated Hospital of Anhui Medical University, Huaihe Road 390, Heifei, Anhui 230061, China,
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30
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Rafati M, Brown DW, Zhou W, Jones K, Luo W, St. Martin A, Wang Y, He M, Spellman SR, Wang T, Deeg HJ, Gupta V, Lee SJ, Bolon YT, Chanock SJ, Machiela MJ, Saber W, Gadalla SM. JAK2 V617F mutation and associated chromosomal alterations in primary and secondary myelofibrosis and post-HCT outcomes. Blood Adv 2023; 7:7506-7515. [PMID: 38011490 PMCID: PMC10758737 DOI: 10.1182/bloodadvances.2023010882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/02/2023] [Accepted: 10/02/2023] [Indexed: 11/29/2023] Open
Abstract
JAK2 V617F is the most common driver mutation in primary or secondary myelofibrosis for which allogeneic hematopoietic cell transplantation (HCT) is the only curative treatment. Knowledge of the prognostic utility of JAK2 alterations in the HCT setting is limited. We identified all patients with MF who received HCT between 2000 and 2016 and had a pre-HCT blood sample (N = 973) available at the Center of International Blood and Marrow Transplant Research biorepository. PacBio sequencing and single nucleotide polymorphism-array genotyping were used to identify JAK2V617F mutation and associated mosaic chromosomal alterations (mCAs), respectively. Cox proportional hazard models were used for HCT outcome analyses. Genomic testing was complete for 924 patients with MF (634 primary MF [PMF], 135 postpolycythemia vera [PPV-MF], and 155 postessential thrombocytopenia [PET-MF]). JAK2V617F affected 562 patients (57.6% of PMF, 97% of PPV-MF, and 42.6% of PET-MF). Almost all patients with mCAs involving the JAK2 region (97.9%) were JAK2V617-positive. In PMF, JAK2V617F mutation status, allele burden, or identified mCAs were not associated with disease progression/relapse, nonrelapse mortality (NRM), or overall survival. Almost all PPV-MF were JAK2V617F-positive (97%), with no association between HCT outcomes and mutation allele burden or mCAs. In PET-MF, JAK2V617F high mutation allele burden (≥60%) was associated with excess risk of NRM, restricted to transplants received in the era of JAK inhibitors (2013-2016; hazard ratio = 7.65; 95% confidence interval = 2.10-27.82; P = .002). However, allele burden was not associated with post-HCT disease progression/relapse or survival. Our findings support the concept that HCT can mitigate the known negative effect of JAK2V617F in patients with MF, particularly for PMF and PPV-MF.
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Affiliation(s)
- Maryam Rafati
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Derek W. Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Wen Luo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Andrew St. Martin
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Youjin Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Meilun He
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Tao Wang
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI
- Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI
| | - H. Joachim Deeg
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Vikas Gupta
- MPN Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Stephanie J. Lee
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Yung-Tsi Bolon
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Wael Saber
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI
| | - Shahinaz M. Gadalla
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
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31
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Zhou W, Fischer A, Ogwang MD, Luo W, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Otim I, Legason ID, Nabalende H, Ayers LW, Bhatia K, Goedert JJ, Gouveia MH, Cole N, Hicks B, Jones K, Hummel M, Schlesner M, Chagaluka G, Mutalima N, Borgstein E, Liomba GN, Kamiza S, Mkandawire N, Mitambo C, Molyneux EM, Newton R, Glaser S, Kretzmer H, Manning M, Hutchinson A, Hsing AW, Tettey Y, Adjei AA, Chanock SJ, Siebert R, Yeager M, Prokunina-Olsson L, Machiela MJ, Mbulaiteye SM. Mosaic chromosomal alterations in peripheral blood leukocytes of children in sub-Saharan Africa. Nat Commun 2023; 14:8081. [PMID: 38057307 PMCID: PMC10700489 DOI: 10.1038/s41467-023-43881-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023] Open
Abstract
In high-income countries, mosaic chromosomal alterations in peripheral blood leukocytes are associated with an elevated risk of adverse health outcomes, including hematologic malignancies. We investigate mosaic chromosomal alterations in sub-Saharan Africa among 931 children with Burkitt lymphoma, an aggressive lymphoma commonly characterized by immunoglobulin-MYC chromosomal rearrangements, 3822 Burkitt lymphoma-free children, and 674 cancer-free men from Ghana. We find autosomal and X chromosome mosaic chromosomal alterations in 3.4% and 1.7% of Burkitt lymphoma-free children, and 8.4% and 3.7% of children with Burkitt lymphoma (P-values = 5.7×10-11 and 3.74×10-2, respectively). Autosomal mosaic chromosomal alterations are detected in 14.0% of Ghanaian men and increase with age. Mosaic chromosomal alterations in Burkitt lymphoma cases include gains on chromosomes 1q and 8, the latter spanning MYC, while mosaic chromosomal alterations in Burkitt lymphoma-free children include copy-neutral loss of heterozygosity on chromosomes 10, 14, and 16. Our results highlight mosaic chromosomal alterations in sub-Saharan African populations as a promising area of research.
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Affiliation(s)
- Weiyin Zhou
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Anja Fischer
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | | | - Wen Luo
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Constance N Tenge
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Pamela A Were
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T Kuremu
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N Wekesa
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Mateus H Gouveia
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Nathan Cole
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Michael Hummel
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Berlin, Germany
- Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany
| | - Mathias Schlesner
- Biomedical Informatics, Data Mining and Data Analytics, University of Augsburg, Augsburg, Germany
| | - George Chagaluka
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Nora Mutalima
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Eric Borgstein
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - George N Liomba
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Steve Kamiza
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Nyengo Mkandawire
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Collins Mitambo
- Research Department, Ministry of Health, P.O. Box 30377, Lilongwe 3, Malawi
| | - Elizabeth M Molyneux
- Departments of Pediatrics and Surgery, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Robert Newton
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Selina Glaser
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Helene Kretzmer
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Michelle Manning
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ann W Hsing
- Stanford Cancer Institute, Stanford University, Stanford, Palo Alto, CA, USA
| | - Yao Tettey
- Department of Pathology, University of Ghana Medical School, College of Health Sciences, P.O. Box KB 52, Korle-Bu, Accra, Ghana
| | - Andrew A Adjei
- Department of Pathology, University of Ghana Medical School, College of Health Sciences, P.O. Box KB 52, Korle-Bu, Accra, Ghana
| | - Stephen J Chanock
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Meredith Yeager
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA.
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32
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Liu G, Wang Z, Yuan H, Yan C, Hao R, Zhang F, Luo W, Wang H, Cao Y, Gu S, Zeng C, Li Y, Wang Z, Qin N, Luo G, Lu Z. Deciphering Electrolyte Dominated Na + Storage Mechanisms in Hard Carbon Anodes for Sodium-Ion Batteries. Adv Sci (Weinh) 2023; 10:e2305414. [PMID: 37875394 PMCID: PMC10754077 DOI: 10.1002/advs.202305414] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/26/2023] [Indexed: 10/26/2023]
Abstract
Although hard carbon (HC) demonstrates superior initial Coulombic efficiency, cycling durability, and rate capability in ether-based electrolytes compared to ester-based electrolytes for sodium-ion batteries (SIBs), the underlying mechanisms responsible for these disparities remain largely unexplored. Herein, ex situ electron paramagnetic resonance (EPR) spectra and in situ Raman spectroscopy are combined to investigate the Na storage mechanism of HC under different electrolytes. Through deconvolving the EPR signals of Na in HC, quasi-metallic-Na is successfully differentiated from adsorbed-Na. By monitoring the evolution of different Na species during the charging/discharging process, it is found that the initial adsorbed-Na in HC with ether-based electrolytes can be effectively transformed into intercalated-Na in the plateau region. However, this transformation is obstructed in ester-based electrolytes, leading to the predominant storage of Na in HC as adsorbed-Na and pore-filled-Na. Furthermore, the intercalated-Na in HC within the ether-based electrolytes contributes to the formation of a uniform, dense, and stable solid-electrolyte interphase (SEI) film and eventually enhances the electrochemical performance of HC. This work successfully deciphers the electrolyte-dominated Na+ storage mechanisms in HC and provides fundamental insights into the industrialization of HC in SIBs.
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Affiliation(s)
- Guiyu Liu
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Zhiqiang Wang
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Huimin Yuan
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Chunliu Yan
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Rui Hao
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Fangchang Zhang
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Wen Luo
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Hongzhi Wang
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Yulin Cao
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Shuai Gu
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Chun Zeng
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Yingzhi Li
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Zhenyu Wang
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Ning Qin
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
| | - Guangfu Luo
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
- Guangdong Provincial Key Laboratory of Computational Science and Material DesignSouthern University of Science and TechnologyShenzhen518055China
| | - Zhouguang Lu
- Department of Materials Science and EngineeringShenzhen Key Laboratory of Interfacial Science and Engineering of MaterialsSouthern University of Science and TechnologyShenzhen518055China
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Yang X, Gao S, Luo W, Fu W, Xiong Y, Li J, Lan D, Yin S. Dynamic transcriptome analysis of Maiwa yak corpus luteum during the estrous cycle. Anim Biotechnol 2023; 34:4569-4579. [PMID: 36752221 DOI: 10.1080/10495398.2023.2174130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Maiwa yak is a special breed of animal living on the Qinghai-Tibet Plateau, which has great economic value, but its fertility rate is low. The corpus luteum (CL) is a temporary tissue that plays a crucial role in maintaining the physiological cycle. However, little is known about the transcriptome profile in Maiwa yak CL. In the present study, the transcriptome of Maiwa yak CL at early (EYCL), middle (MYCL) and late-stages (LYCL) was studied employing high-throughput sequencing. A total of 25,922 transcripts were identified, including 22,277 known as well as 3,645 novel ones. Furthermore, 690 and 212 differentially expressed (DE) mRNAs were detected in the EYCL vs. MYCL and MYCL vs. LYCL groups, respectively. KEGG pathway enrichment analysis of DEGs illustrated that the most enriched pathway was PI3K-Akt pathway. Furthermore, twenty-six DEGs were totally found to be associated with different biological processes of CL development. One of these genes, PGRMC1, displayed a dynamical expression trend during the lifespan of yak CL. The knockdown of PGRMC1 in luteinized yak granulosa cells resulted in defective steroidogenesis. In conclusion, this study analyzed the transcriptome profiles in yak CL of different stages, and provided a novel database for analyzing the gene network in yak CL.HIGHLIGHTSThe manuscript analyzed the transcriptome profiles in yak CL during the estrous cycle.Twenty-six DEGs were found to be associated with the development or function of CL.One of the DEGs, PGRMC1, was found to be responsible for steroidogenesis in luteinized yak granulosa cells.
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Affiliation(s)
- Xue Yang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
| | - Shaoshuai Gao
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
| | - Wen Luo
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
| | - Wei Fu
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
| | - Yan Xiong
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
| | - Jian Li
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
| | - Daoliang Lan
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
| | - Shi Yin
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Chengdu, Sichuan, China
- College of Animal & Veterinary, Southwest Minzu University, Chengdu, Sichuan, China
- Key Laboratory of Modem Technology (Southwest Minzu University), State Ethnic Affairs Commission, Chengdu, Sichuan, China
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Huang Y, Luo W, Chen S, Su H, Zhu W, Wei Y, Qiu Y, Long Y, Shi Y, Wei J. Isovitexin alleviates hepatic fibrosis by regulating miR-21-mediated PI3K/Akt signaling and glutathione metabolic pathway: based on transcriptomics and metabolomics. Phytomedicine 2023; 121:155117. [PMID: 37820467 DOI: 10.1016/j.phymed.2023.155117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/06/2023] [Accepted: 09/21/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Effective drugs for the treatment of hepatic fibrosis have not yet been identified. Isovitexin (IVT) is a promising hepatoprotective agent owing to its efficacy against acute liver injury. However, the role of IVT in liver fibrosis has not been reported. PURPOSE To explore the effect of IVT on liver fibrosis both in vitro and in vivo. STUDY DESIGN AND METHODS A mouse model of liver fibrosis induced by carbon tetrachloride (CCl4) and two types of hepatic stellate cell models induced by platelet-derived growth factor-BB (PDGF-BB) were established to evaluate the effect of IVT on hepatic fibrosis. Transcriptomics and metabolomics were used to predict the underlying targets of IVT and were validated by a combination of in vitro and in vivo experiments. Exploration of miRNA and N6-methyladenosine (m6A) modifications was also carried out to detect the key upstream targets of the above targets. RESULTS IVT reduced collagen deposition and hepatic stellate cell activation to alleviate liver fibrosis. The transcriptomics and metabolomics analyses showed that phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signaling and the glutathione (GSH) metabolic pathway may be the main regulatory processes of IVT in hepatic fibrosis. Both the in vitro and in vivo experiments confirmed the inhibitory effect of IVT on the PTEN-PI3K-Akt-mTOR axis and activation of the GSH metabolic pathway. A miR-21 mimic inhibited the effects of IVT on these two pathways, suggesting that miR-21 is the hub for IVT regulation of PI3K-Akt signaling and the GSH metabolic pathway. IVT also increased pri-miR-21 level and reduced the m6A enrichment of pri-miR-21, demonstrating that IVT may regulate pri-miR-21 through m6A modification, thereby affecting the maturation of miR-21. CONCLUSION This study is the first to propose a protective effect of IVT against liver fibrosis. The mechanism of IVT against hepatic fibrosis is based on the regulation of miR-21, targeting PTEN-Akt signaling and the GSH metabolic pathway, which is also a novel discovery.
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Affiliation(s)
- Yushen Huang
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Wen Luo
- Department of Gastrointestinal Surgery, Liuzhou Workers Hospital, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China
| | - Siyun Chen
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Hongmei Su
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Wuchang Zhu
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Yuanyuan Wei
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Yue Qiu
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Yan Long
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Yanxia Shi
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China
| | - Jinbin Wei
- Pharmaceutical College, Guangxi Medical University, Nanning, Guangxi, China; National Center for International Research of Bio-targeting Theranostics, Guangxi Medical University, Nanning, Guangxi, China.
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Schorova L, Bedard N, Khayachi A, Ho HH, Bolivar-Pedroso J, Huynh J, Piccirelli M, Wang Y, Plourde M, Luo W, Del Cid-Pellitero E, Shlaifer I, Castellanos-Montiel MJ, Yu Z, Valenzuela DVC, Lacalle-Aurioles M, Kriz A, Ye Y, Durcan TM, Wing SS. USP19 deubiquitinase inactivation regulates α-synuclein ubiquitination and inhibits accumulation of Lewy body-like aggregates in mice. NPJ Parkinsons Dis 2023; 9:157. [PMID: 38017009 PMCID: PMC10684503 DOI: 10.1038/s41531-023-00601-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 11/14/2023] [Indexed: 11/30/2023] Open
Abstract
The USP19 deubiquitinase is found in a locus associated with Parkinson's Disease (PD), interacts with chaperonins, and promotes secretion of α-synuclein (α-syn) through the misfolding-associated protein secretion (MAPS) pathway. Since these processes might modulate the processing of α-syn aggregates in PD, we inactivated USP19 (KO) in mice expressing the A53T mutation of α-syn and in whom α-syn preformed fibrils (PFF) had been injected in the striatum. Compared to WT, KO brains showed decreased accumulation of phospho-synuclein (pSyn) positive aggregates. This improvement was associated with less activation of microglia and improved performance in a tail-suspension test. Exposure of primary neurons from WT and KO mice to PFF in vitro also led to decreased accumulation of pSyn aggregates. KO did not affect uptake of PFF nor propagation of aggregates in the cultured neurons. We conclude that USP19 instead modulates intracellular dynamics of aggregates. At an early time following PFF injection when the number of pSyn-positive neurons were similar in WT and KO brains, the KO neurons contained less aggregates. KO brain aggregates stained more intensely with anti-ubiquitin antibodies. Immunoprecipitation of soluble proteins from WT and KO brains with antibodies to pSyn showed higher levels of ubiquitinated oligomeric species in the KO samples. We propose that the improved pathology in USP19 KO brains may arise from decreased formation or enhanced clearance of the more ubiquitinated aggregates and/or enhanced disassembly towards more soluble oligomeric species. USP19 inhibition may represent a novel therapeutic approach that targets the intracellular dynamics of α-syn complexes.
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Affiliation(s)
- Lenka Schorova
- Department of Medicine, McGill University and Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Nathalie Bedard
- Department of Medicine, McGill University and Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Anouar Khayachi
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Hung-Hsiang Ho
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Joao Bolivar-Pedroso
- Department of Medicine, McGill University and Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Julie Huynh
- Department of Biochemistry, McGill University, Montreal, QC, Canada
| | - Mikaela Piccirelli
- Department of Medicine, McGill University and Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Yifei Wang
- Department of Medicine, McGill University and Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Marie Plourde
- Department of Medicine, McGill University and Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Wen Luo
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | | | - Irina Shlaifer
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - María José Castellanos-Montiel
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Ziqi Yu
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | | | | | - Anita Kriz
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Yihong Ye
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Thomas M Durcan
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada.
| | - Simon S Wing
- Department of Medicine, McGill University and Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada.
- Department of Biochemistry, McGill University, Montreal, QC, Canada.
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Jones-Tabah J, He K, Senkevich K, Karpilovsky N, Deyab G, Cousineau Y, Nikanorova D, Goldsmith T, Pellitero EDC, Chen CXQ, Luo W, You Z, Abdian N, Pietrantonio I, Goiran T, Ahmad J, Ruskey JA, Asayesh F, Spiegelman D, Waters C, Monchi O, Dauvilliers Y, Dupré N, Miliukhina I, Timofeeva A, Emelyanov A, Pchelina S, Greenbaum L, Hassin-Baer S, Alcalay RN, Milnerwood A, Durcan TM, Gan-Or Z, Fon EA. The Parkinson's disease risk gene cathepsin B promotes fibrillar alpha-synuclein clearance, lysosomal function and glucocerebrosidase activity in dopaminergic neurons. bioRxiv 2023:2023.11.11.566693. [PMID: 38014143 PMCID: PMC10680785 DOI: 10.1101/2023.11.11.566693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Variants in the CTSB gene encoding the lysosomal hydrolase cathepsin B (catB) are associated with increased risk of Parkinson's disease (PD). However, neither the specific CTSB variants driving these associations nor the functional pathways that link catB to PD pathogenesis have been characterized. CatB activity contributes to lysosomal protein degradation and regulates signaling processes involved in autophagy and lysosome biogenesis. Previous in vitro studies have found that catB can cleave monomeric and fibrillar alpha-synuclein, a key protein involved in the pathogenesis of PD that accumulates in the brains of PD patients. However, truncated synuclein isoforms generated by catB cleavage have an increased propensity to aggregate. Thus, catB activity could potentially contribute to lysosomal degradation and clearance of pathogenic alpha synuclein from the cell, but also has the potential of enhancing synuclein pathology by generating aggregation-prone truncations. Therefore, the mechanisms linking catB to PD pathophysiology remain to be clarified. Here, we conducted genetic analyses of the association between common and rare CTSB variants and risk of PD. We then used genetic and pharmacological approaches to manipulate catB expression and function in cell lines and induced pluripotent stem cell-derived dopaminergic neurons and assessed lysosomal activity and the handling of aggregated synuclein fibrils. We find that catB inhibition impairs autophagy, reduces glucocerebrosidase (encoded by GBA1 ) activity, and leads to an accumulation of lysosomal content. In cell lines, reduction of CTSB gene expression impairs the degradation of pre-formed alpha-synuclein fibrils, whereas CTSB gene activation enhances fibril clearance. In midbrain organoids and dopaminergic neurons treated with alpha-synuclein fibrils, catB inhibition potentiates the formation of inclusions which stain positively for phosphorylated alpha-synuclein. These results indicate that the reduction of catB function negatively impacts lysosomal pathways associated with PD pathogenesis, while conversely catB activation could promote the clearance of pathogenic alpha-synuclein.
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Li Z, Yang C, Wang J, Zheng K, Luo W. The application of CGF combined with GBR in alveolar bone increment for patients with anxiety disorder: A rare case report and literature review. Medicine (Baltimore) 2023; 102:e35905. [PMID: 37960737 PMCID: PMC10637472 DOI: 10.1097/md.0000000000035905] [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: 07/26/2023] [Accepted: 10/12/2023] [Indexed: 11/15/2023] Open
Abstract
RATIONALE Selective serotonin reuptake inhibitors (SSRIs), one of the commonly used anti-anxiety drugs, may have impacts on bone metabolism and potentially lead to drug-induced osteoporosis. The traditional approach of oral implantation in individuals with both anxiety disorder and drug-induced osteoporosis poses a significant challenge. To address this issue, concentrated growth factor (CGF) has been utilized in patients undergoing concurrent alveolar ridge augmentation during oral implantation, resulting in favorable clinical outcomes. Consequently, combining CGF with guided bone regeneration (GBR) in alveolar bone increment may represent a promising new surgical approach for such patients. In this report, we present a case study of a 25-year-old male with anxiety disorder and drug-induced osteoporosis, in who CGF combined with GBR was employed in alveolar bone increment. PATIENT CONCERNS This article reports the case of a 25-year-old male who underwent cone beam computed tomography (CBCT) due to the absence of his right lower second molar for a period of six months. The CBCT scan revealed significant bone defects, which were attributed to the tooth loss and prolonged use of anti-anxiety drugs. Consequently, the patient sought medical assistance from our department. DIAGNOSES Based on the patient's self-report, he was diagnosed with an anxiety disorder. Additionally, the CBCT scan confirmed the loss of the right mandibular second molar and revealed the presence of dental irregularity and an alveolar bone defect. INTERVENTIONS During the patient's course of treatment with anti-anxiety medication, a combination of CGF and GBR was employed for the simultaneous implantation of the missing right mandibular second molar, along with bone augmentation. OUTCOMES The patient had a follow-up visit two weeks after the surgical procedure, and the wound in the operation area had healed satisfactorily. Six months later, CBCT images revealed excellent osseointegration. The buccal and lingual width of the alveolar bone measured 6.95mm, which was an increase of 1.35mm compared to the pre-implantation stage. LESSONS This article presents a case study in which CGF combined with GBR were utilized to address alveolar bone augmentation during the implantation phase in patients taking anti-anxiety medication. The results demonstrated that CGF combined with GBR, as a cutting-edge platelet concentrate technique, could effectively stimulate bone tissue proliferation in individuals who have been on long-term anti-anxiety medication, specifically in oral implant areas. This approach can help prevent poor osseointegration, promote higher osseointegration rates, and facilitate wound healing.
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Affiliation(s)
- Zhixin Li
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Chao Yang
- Department of Stomatology, The People's Hospital of Longhua, Shenzhen, China
- Research and Development Department, Shenzhen Uni-medica Technology CO., Ltd, Shenzhen, China
| | - Jinrong Wang
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Kaiyue Zheng
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Wen Luo
- Department of Stomatology, First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
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38
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Pham TH, Shen TH, Ko Y, Zhong L, Lombardo L, Luo W, Horike S, Tileli V, Züttel A. Elucidating the Mechanism of Fe Incorporation in In Situ Synthesized Co-Fe Oxygen-Evolving Nanocatalysts. J Am Chem Soc 2023; 145:23691-23701. [PMID: 37862452 PMCID: PMC10623561 DOI: 10.1021/jacs.3c08099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Indexed: 10/22/2023]
Abstract
Ni- and Co-based catalysts with added Fe demonstrate promising activity in the oxygen evolution reaction (OER) during alkaline water electrolysis, with the presence of Fe in a certain quantity being crucial for their enhanced performance. The mode of incorporation, local placement, and structure of Fe ions in the host catalyst, as well as their direct/indirect contribution to enhancing the OER activity, remain under active investigation. Herein, the mechanism of Fe incorporation into a Co-based host was investigated using an in situ synthesized Co-Fe catalyst in an alkaline electrolyte containing Co2+ and Fe3+. Fe was found to be uniformly incorporated, which occurs solely after the anodic deposition of the Co host structure and results in exceptional OER activity with an overpotential of 319 mV at 10 mA cm-2 and a Tafel slope of 28.3 mV dec-1. Studies on the lattice structure, chemical oxidation states, and mass changes indicated that Fe is incorporated into the Co host structure by replacing the Co3+ sites with Fe3+ from the electrolyte. Operando Raman measurements revealed that the presence of doped Fe in the Co host structure reduces the transition potential of the in situ Co-Fe catalyst to the OER-active phase CoO2. The findings of our facile synthesis of highly active and stable Co-Fe particle catalysts provide a comprehensive understanding of the role of Fe in Co-based electrocatalysts, covering aspects that include the incorporation mode, local structure, placement, and mechanistic role in enhancing the OER activity.
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Affiliation(s)
- Thi Ha
My Pham
- Laboratory
of Materials for Renewable Energy (LMER), Institute of Chemical Sciences
and Engineering (ISIC), Basic Science Faculty (SB), École Polytechnique Fédérale de Lausanne (EPFL), Valais/Wallis, Energypolis, CH-1951 Sion, Switzerland
- Empa
Materials Science & Technology, CH-8600 Dübendorf, Switzerland
| | - Tzu-Hsien Shen
- Institute
of Materials, Ecole Polytechnique Fédérale
de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Youngdon Ko
- Laboratory
of Materials for Renewable Energy (LMER), Institute of Chemical Sciences
and Engineering (ISIC), Basic Science Faculty (SB), École Polytechnique Fédérale de Lausanne (EPFL), Valais/Wallis, Energypolis, CH-1951 Sion, Switzerland
- Empa
Materials Science & Technology, CH-8600 Dübendorf, Switzerland
| | - Liping Zhong
- Laboratory
of Materials for Renewable Energy (LMER), Institute of Chemical Sciences
and Engineering (ISIC), Basic Science Faculty (SB), École Polytechnique Fédérale de Lausanne (EPFL), Valais/Wallis, Energypolis, CH-1951 Sion, Switzerland
- Empa
Materials Science & Technology, CH-8600 Dübendorf, Switzerland
| | - Loris Lombardo
- Department
of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho,
Sakyo-ku, Kyoto 606-8502, Japan
| | - Wen Luo
- School
of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Satoshi Horike
- Department
of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho,
Sakyo-ku, Kyoto 606-8502, Japan
| | - Vasiliki Tileli
- Institute
of Materials, Ecole Polytechnique Fédérale
de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Andreas Züttel
- Laboratory
of Materials for Renewable Energy (LMER), Institute of Chemical Sciences
and Engineering (ISIC), Basic Science Faculty (SB), École Polytechnique Fédérale de Lausanne (EPFL), Valais/Wallis, Energypolis, CH-1951 Sion, Switzerland
- Empa
Materials Science & Technology, CH-8600 Dübendorf, Switzerland
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Baek E, Luo W, Lam KH. Meta-Analysis of Single-Case Experimental Design using Multilevel Modeling. Behav Modif 2023; 47:1546-1573. [PMID: 36647266 DOI: 10.1177/01454455221144034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Multilevel modeling (MLM) is an approach for meta-analyzing single-case experimental designs (SCED). In this paper, we provide a step-by-step guideline for using the MLM to meta-analyze SCED time-series data. The MLM approach is first presented using a basic three-level model, then gradually extended to represent more realistic situations of SCED data, such as modeling a time variable, moderators representing different design types and multiple outcomes, and heterogeneous within-case variance. The presented approach is then illustrated using real SCED data. Practical recommendations using the MLM approach are also provided for applied researchers based on the current methodological literature. Available free and commercial software programs to meta-analyze SCED data are also introduced, along with several hands-on software codes for applied researchers to implement their own studies. Potential advantages and limitations of using the MLM approach to meta-analyzing SCED are discussed.
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Affiliation(s)
| | - Wen Luo
- Texas A&M University, College Station, TX, USA
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40
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Yuan J, Ding L, Han L, Pang L, Zhang P, Yang X, Liu H, Zheng M, Zhang Y, Luo W. Thermal/ultrasound-triggered release of liposomes loaded with Ganoderma applanatum polysaccharide from microbubbles for enhanced tumour ablation. J Control Release 2023; 363:84-100. [PMID: 37730090 DOI: 10.1016/j.jconrel.2023.09.030] [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: 01/02/2023] [Revised: 09/16/2023] [Accepted: 09/17/2023] [Indexed: 09/22/2023]
Abstract
The effectiveness of thermal ablation for the treatment of liver tumours is limited by the risk of incomplete ablation, which can result in residual tumours. Herein, an enhancement strategy is proposed based on the controlled release of Ganoderma applanatum polysaccharide (GAP) liposome-microbubble complexes (GLMCs) via ultrasound (US)-targeted microbubble destruction (UTMD) and sublethal hyperthermic (SH) field. GLMCs were prepared by conjugating GAP liposomes onto the surface of microbubbles via biotin-avidin linkage. In vitro, UTMD promotes the cellular uptake of liposomes and leads to apoptosis of M2-like macrophages. Secretion of arginase-1 (Arg-1) and transforming growth factor-beta (TGF-β) by M2-like macrophages decreased. In vivo, restriction of tumour volume was observed in rabbit VX2 liver tumours after treatment with GLMCs via UTMD in GLMCs + SH + US group. The expression levels of CD68 and CD163, as markers of tumour-associated macrophages (TAMs) in the GLMCs + SH + US group were reduced in liver tumour tissue. Decreased Arg-1, TGF-β, Ki67, and CD31 factors related to tumour cell proliferation and angiogenesis was evident on histological analysis. In conclusion, thermal/US-triggered drug release from GLMCs suppressed rabbit VX2 liver tumour growth in the SH field by inhibiting TAMs, which represents a potential approach to improve the effectiveness of thermal ablation.
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Affiliation(s)
- Jiani Yuan
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Lei Ding
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Lu Han
- Department of Ultrasound, Xi'an Central Hospital, Xi'an, China
| | - Lina Pang
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Peidi Zhang
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Xiao Yang
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Haijing Liu
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Minjuan Zheng
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
| | - Yunfei Zhang
- Department of Orthopaedics, Second Affiliated Hospital, Fourth Military Medical University, Xi'an, China.
| | - Wen Luo
- Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
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Tullo S, Miranda AS, Del Cid-Pellitero E, Lim MP, Gallino D, Attaran A, Patel R, Novikov V, Park M, Beraldo FH, Luo W, Shlaifer I, Durcan TM, Bussey TJ, Saksida LM, Fon EA, Prado VF, Prado MAM, Chakravarty MM. Neuroanatomical and cognitive biomarkers of alpha-synuclein propagation in a mouse model of synucleinopathy prior to onset of motor symptoms. J Neurochem 2023. [PMID: 37804203 DOI: 10.1111/jnc.15967] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 08/31/2023] [Accepted: 09/11/2023] [Indexed: 10/09/2023]
Abstract
Significant evidence suggests that misfolded alpha-synuclein (aSyn), a major component of Lewy bodies, propagates in a prion-like manner contributing to disease progression in Parkinson's disease (PD) and other synucleinopathies. In fact, timed inoculation of M83 hemizygous mice with recombinant human aSyn preformed fibrils (PFF) has shown symptomatic deficits after substantial spreading of pathogenic alpha-synuclein, as detected by markers for the phosphorylation of S129 of aSyn. However, whether accumulated toxicity impact human-relevant cognitive and structural neuroanatomical measures is not fully understood. Here we performed a single unilateral striatal PFF injection in M83 hemizygous mice, and using two assays with translational potential, ex vivo magnetic resonance imaging (MRI) and touchscreen testing, we examined the combined neuroanatomical and behavioral impact of aSyn propagation. In PFF-injected mice, we observed widespread atrophy in bilateral regions that project to or receive input from the injection site using MRI. We also identified early deficits in reversal learning prior to the emergence of motor symptoms. Our findings highlight a network of regions with related cellular correlates of pathology that follow the progression of aSyn spreading, and that affect brain areas relevant for reversal learning. Our experiments suggest that M83 hemizygous mice injected with human PFF provides a model to understand how misfolded aSyn affects human-relevant pre-clinical measures and suggest that these pre-clinical biomarkers could be used to detect early toxicity of aSyn and provide better translational measures between mice and human disease.
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Affiliation(s)
- Stephanie Tullo
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Aline S Miranda
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Departamento de Morfologia, Instituto de Ciencias Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Esther Del Cid-Pellitero
- McGill Parkinson Program, Neurodegenerative Diseases Group, Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Mei Peng Lim
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Daniel Gallino
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Anoosha Attaran
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Raihaan Patel
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
- Department of Biological & Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Vladislav Novikov
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Megan Park
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Flavio H Beraldo
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Wen Luo
- Early Drug Discovery Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Irina Shlaifer
- Early Drug Discovery Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Thomas M Durcan
- Early Drug Discovery Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Timothy J Bussey
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Lisa M Saksida
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Edward A Fon
- McGill Parkinson Program, Neurodegenerative Diseases Group, Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Vania F Prado
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Anatomy & Cell Biology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Marco A M Prado
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Anatomy & Cell Biology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - M Mallar Chakravarty
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
- Department of Biological & Biomedical Engineering, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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Luo W, Hoang H, Liao Y, Pan J, Ayello J, Cairo MS. A humanized orthotopic mouse model for preclinical evaluation of immunotherapy in Ewing sarcoma. Front Immunol 2023; 14:1277987. [PMID: 37868989 PMCID: PMC10587429 DOI: 10.3389/fimmu.2023.1277987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 09/19/2023] [Indexed: 10/24/2023] Open
Abstract
The advent of novel cancer immunotherapy approaches is revolutionizing the treatment for cancer. Current small animal models for most cancers are syngeneic or genetically engineered mouse models or xenograft models based on immunodeficient mouse strains. These models have been limited in evaluating immunotherapy regimens due to the lack of functional human immune system. Development of animal models for bone cancer faces another challenge in the accessibility of tumor engraftment sites. Here, we describe a protocol to develop an orthotopic humanized mouse model for a bone and soft tissue sarcoma, Ewing sarcoma, by transplanting fresh human cord blood CD34+ hematopoietic stem cells into young NSG-SGM3 mice combined with subsequent Ewing sarcoma patient derived cell engraftment in the tibia of the humanized mice. We demonstrated early and robust reconstitution of human CD45+ leukocytes including T cells, B cells, natural killer cells and monocytes. Ewing sarcoma xenograft tumors successfully orthotopically engrafted in the humanized mice with minimal invasive procedures. We validated the translational utility of this orthotopic humanized model by evaluating the safety and efficacy of an immunotherapy antibody, magrolimab. Treatment with magrolimab induces CD47 blockade resulting in significantly decreased primary tumor growth, decreased lung metastasis and prolonged animal survival in the established humanized model. Furthermore, the humanized model recapitulated the dose dependent toxicity associated with the CD47 blockade as observed in patients in clinical trials. In conclusion, this orthotopic humanized mouse model of Ewing sarcoma represents an improved platform for evaluating immunotherapy in bone and soft tissue sarcoma, such as Ewing sarcoma. With careful design and optimization, this model is generalizable for other bone malignancies.
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Affiliation(s)
- Wen Luo
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
- Department of Pathology, Immunology and Microbiology, New York Medical College, Valhalla, NY, United States
| | - Hai Hoang
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Yanling Liao
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Jian Pan
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Janet Ayello
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Mitchell S. Cairo
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
- Department of Pathology, Immunology and Microbiology, New York Medical College, Valhalla, NY, United States
- Department of Medicine, New York Medical College, Valhalla, NY, United States
- Department of Cell Biology and Anatomy, New York Medical College, Valhalla, NY, United States
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43
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Zeng RF, Zeng QY, Luo W, Luo AM, Tang HM, Sun LL, Ben XM. An Investigation into a Throat Swab Collection Device for Children. Indian J Pediatr 2023; 90:1050. [PMID: 37291390 PMCID: PMC10250177 DOI: 10.1007/s12098-023-04705-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 05/26/2023] [Indexed: 06/10/2023]
Affiliation(s)
- Rong-Fang Zeng
- Department of Pediatrics, The Third People's Hospital of Shenzhen, No.29 of Bulan Road, Longgang District, Shenzhen, 518000, China
| | - Qiu-Ying Zeng
- Department of Pediatrics, The Third People's Hospital of Shenzhen, No.29 of Bulan Road, Longgang District, Shenzhen, 518000, China
| | - Wen Luo
- Department of Pediatrics, The Third People's Hospital of Shenzhen, No.29 of Bulan Road, Longgang District, Shenzhen, 518000, China
| | - A-Mei Luo
- Department of Pediatrics, The Third People's Hospital of Shenzhen, No.29 of Bulan Road, Longgang District, Shenzhen, 518000, China
| | - Hui-Min Tang
- Department of Pediatrics, The Third People's Hospital of Shenzhen, No.29 of Bulan Road, Longgang District, Shenzhen, 518000, China
| | - Lu-Lu Sun
- Department of Pediatrics, The Third People's Hospital of Shenzhen, No.29 of Bulan Road, Longgang District, Shenzhen, 518000, China.
| | - Xiao-Ming Ben
- Department of Pediatrics, The Third People's Hospital of Shenzhen, No.29 of Bulan Road, Longgang District, Shenzhen, 518000, China.
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44
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Gandara E, Harvey IS, McKyer L, Luo W, Burdine J. Qualitative Inquiry of African American Female Church Leaders on Facilitators and Barriers of Conducting Adult Health Programs Within African American Churches: A Pilot Study Using a Socioecological Perspective Within the United States. J Relig Health 2023; 62:3430-3452. [PMID: 37314599 DOI: 10.1007/s10943-023-01852-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/04/2023] [Indexed: 06/15/2023]
Abstract
Despite the success of health programs conducted within African American (AA) churches, research has been limited in understanding the facilitators and barriers of conducting adult health programs in churches led by female AA pastors/leaders. In addition, research has yet to analyze the effect of policy on these church-based health programs. Thus, this pilot study's objective is to use the socio-ecological model (SEM) as a framework to explore female AA pastors' and church leaders' perspectives, in the U.S., on facilitators and barriers that exist when conducting adult health programs within their congregations. Using snowball sampling to recruit AA female church leaders and pastors (n = 6), semi-structured interviews were conducted with study participants. Data were then transcribed and analyzed using First and Second Cycle coding to identify themes. Nine themes emerged from the data, and after stratifying the themes according to the SEM, this study found that facilitators and barriers exist at the intrapersonal, organizational, community, and policy levels of the SEM. It is important for these factors to be considered to ensure that health programs led by AA women pastors/leaders are successful within AA churches. Study limitations and the need for further research are also noted.
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Affiliation(s)
- Eduardo Gandara
- Department of Public Health, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, USA.
| | | | - Lisako McKyer
- Alice L. Walton School of Medicine, Bentonville, AR, USA
| | - Wen Luo
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Jim Burdine
- Department of Health Behavior, Texas A&M School of Public Health, College Station, TX, USA
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45
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Ettekal I, Li H, Chaudhary A, Luo W, Brooker RJ. Chronic, increasing, and decreasing peer victimization trajectories and the development of externalizing and internalizing problems in middle childhood. Dev Psychopathol 2023; 35:1756-1774. [PMID: 35574659 DOI: 10.1017/s0954579422000426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Children's peer victimization trajectories and their longitudinal associations with externalizing and internalizing problems were investigated from Grades 2 to 5. Secondary data analysis was performed with the Early Childhood Longitudinal Study (ECLS-K-2011; n = 13,860, M age = 8.1 years old in the spring of Grade 2; 51.1% male, 46.7% White, 13.2% African-American, 25.3% Hispanic or Latino, 8.5% Asian, and 6.1% other or biracial). Children who experienced high and persistent levels of peer victimization (high-chronic victims) exhibited co-occurring externalizing and internalizing problems. Moreover, among high-chronic victims, boys had a more pronounced increase in their externalizing trajectories, and girls had greater increases in their social anxiety trajectories. In contrast, those with decreasing peer victimization across time exhibited signs of recovery, particularly with respect to their social anxiety. These findings elucidated how chronic, increasing, and decreasing victims exhibited distinct patterns in the co-occurring development of their externalizing and internalizing problems, and how findings varied depending on the form of problem behavior and by child sex.
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Affiliation(s)
- Idean Ettekal
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Haoran Li
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Anjali Chaudhary
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Wen Luo
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Rebecca J Brooker
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA
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46
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Wen C, Zuo W, Luo W, He F. Effectiveness of three auxiliary irrigation methods for cleaning the internal walls of root canals of curved isolated teeth. Hua Xi Kou Qiang Yi Xue Za Zhi 2023; 41:554-562. [PMID: 37805679 PMCID: PMC10580228 DOI: 10.7518/hxkq.2023.2023062] [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] [Received: 02/25/2023] [Revised: 05/26/2023] [Indexed: 10/09/2023]
Abstract
OBJECTIVES This study aimed to compare the effectiveness of ultrasound and acoustic and laser cleaning of curved root canals. METHODS A total of 92 molars with independent root canals with a curvature of 20°-40° were prepared and standardized at 04 25# and stained with gentian violet solution for 72 h. Among them, 52 were randomly divi-ded into four groups for final rinsing (n=13): NI group, PUI group, EDDY group, and PIPS group. Ten samples in each group were cut horizontally along the long axis perpendicular to the root and divided into curved upper, curved, and apical segments. Images were taken with a stereomicroscope and Image J measurements were taken to calculate the depth of rinse penetration. The remaining three samples from each group were split along the long axis of the dentin, photographed by scanning electron microscope to record the dentin tubule exposure and staining layer, and scored for staining layer by double-blind method. SPSS 26.0 software was used to perform statistical analysis and select the best flushing method. An extra 40 samples were randomly divided into four groups for detection of flushing fluid penetration depth (n=10): 10, 20, 30, and 40 s. RESULTS In the upper part, the mean depth of infiltration was not significantly different between the experimental and control groups (P>0.05). The PIPS group had a significantly lower smear layer score than the control group and the EDDY group (P<0.01). In the curved segment, the mean depth of infiltration was significantly greater in the PUI group than in the control group (P<0.05); the tarnish layer score was lower in each experimental group than in the control group. At the top, the mean depth of infiltration was greater in the PUI and PIPS groups than in the control group (P<0.05), and the smear layer score was lower in the PIPS group than in the other groups (P<0.05). After the time was changed, the depth of infiltration of PUI increased only in the apical segment as the flushing time increased. CONCLUSIONS The PUI and PIPS methods facilitate the penetration of irrigation solution into the dentin canal in curved root canals, especially in the apical segment. The PIPS technique is effective in removing the smear layer in curved root canals.
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Affiliation(s)
- Chaoying Wen
- School of Stomatology, Jinan University, Guangzhou 510632, China
- Dept. of Stomatology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China
| | - Wenxin Zuo
- Dept. of Stomatology, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
| | - Wen Luo
- School of Stomatology, Jinan University, Guangzhou 510632, China
- Dept. of Stomatology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China
| | - Fei He
- Dept. of Stomatology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China
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47
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Baek E, Luo W. Modeling multiple dependent variables in meta-analysis of single-case experimental design using multilevel modeling. Behav Res Methods 2023; 55:3760-3771. [PMID: 36253594 DOI: 10.3758/s13428-022-01987-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2022] [Indexed: 11/08/2022]
Abstract
Although meta-analyses of single-case experimental design (SCED) often include multiple types of dependent variables (DVs), multiple DVs are rarely considered within models in the analysis. Baek et al. (Journal of Experimental Education, 90(4), 934-961, 2022) identified several statistical issues that arise when researchers fail to model multiple DVs in meta-analyses of SCED data. However, the degree to which non-modeling of multiple DVs impacts the results of the meta-analysis of SCED has not been fully examined. In this simulation study, we have systematically investigated the impact of non-modeling of multiple DVs when analyzing meta SCED data using multilevel modeling. The result demonstrates that modeling multiple DVs has advantages over the non-modeling option for meta-analysis of SCED. Modeling multiple DVs enables the determination of precise effects from different DVs in addition to the unbiased and accurate average effect and accurate estimates and inferences for the error variances at the study level as well as the observation level. The current study also reveals potential factors (i.e., the number of DVs, degree of heterogeneity in the level-1 error variances and autocorrelation, and presence of the moderator effect) that impact the precision and accuracy of the variance parameters.
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Affiliation(s)
- Eunkyeng Baek
- Educational Psychology, Texas A&M University, 718E Harrington Tower, 4225 TAMU, College Station, TX, 77843-4225, USA.
| | - Wen Luo
- Educational Psychology, Texas A&M University, 718E Harrington Tower, 4225 TAMU, College Station, TX, 77843-4225, USA
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48
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Wang J, Hu T, Han Q, Luo W, Zhong J, Ding M. The synthesis and functionalization of metal organic frameworks and their applications for the selective separation of proteins/peptides. Anal Bioanal Chem 2023; 415:5859-5874. [PMID: 37433955 DOI: 10.1007/s00216-023-04843-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 07/13/2023]
Abstract
Recently, proteins separation has drawn great interest for the full investigation of a proteome because the proteins separation is the precondition when conducting clinical research or proteomics research. Metal organic frameworks (MOFs) are fabricated via covalent connection between organic ligands and metal ions/clusters units. MOFs have attracted much attention due to the ultra-high specific surface area, tunable structure, more metal site or unsaturated site, and chemical stability. Over the past decade, different functionalization types of MOFs have been reported in combination with amino acids, nucleic acids, proteins, polymers, and nanoparticles for various applications. In this review, the synthesis and functionalization of MOFs have been thoroughly discussed, and we introduced the existing problems and development trends in these fields. Furthermore, MOFs as advanced adsorbents for selective separation of proteins/peptides are summarized. Additionally, we present a comprehensive prospects and challenges in the preparation of robust functional MOFs-based adsorbents and make a final outlook on their future development prospects in selective separation of proteins/peptides.
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Affiliation(s)
- Jundong Wang
- State Key Laboratory of Rare Metal Special Material, Northwest Rare Metal Material Research Institute Ningxia Co., Ltd., Ningxia, 753000, China
- China Nonferrous Metal Mining (Group) Co., Ltd., Beijing, 100029, China
| | - Tingxia Hu
- Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Qiang Han
- MOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, China
| | - Wen Luo
- State Key Laboratory of Rare Metal Special Material, Northwest Rare Metal Material Research Institute Ningxia Co., Ltd., Ningxia, 753000, China
| | - Jingming Zhong
- State Key Laboratory of Rare Metal Special Material, Northwest Rare Metal Material Research Institute Ningxia Co., Ltd., Ningxia, 753000, China.
- China Nonferrous Metal Mining (Group) Co., Ltd., Beijing, 100029, China.
| | - Mingyu Ding
- MOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, China.
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Kuang H, Yang L, Li Z, Wang J, Zheng K, Mei J, Sun H, Huang Y, Yang C, Luo W. DNA methyltransferase 3A induces the occurrence of oral submucous fibrosis by promoting the methylation of the von Hippel-Lindau. Oral Dis 2023. [PMID: 37743610 DOI: 10.1111/odi.14725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/25/2023] [Accepted: 08/15/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND Oral submucous fibrosis (OSF) is associated with malignant disorders. DNA methyltransferase 3A (DNMT3A) is a DNA methylesterase reported to be upregulated in multiple organs and shown to inhibit fibrosis. However, the detailed effect of DNMT3A on OSF remains unclear. METHODS To mimic OSF in vitro, oral fibroblasts were exposed to arecoline and molecular biological experiments were performed to detect the function of DNMT3A in OSF. RESULTS We found that von Hippel-Lindau (VHL) was downregulated and highly methylated in OSF. Arecoline remarkably increased the viability, invasiveness, and migration of oral fibroblasts, but upregulation of VHL partially reversed these effects. DNMT3A induces DNA hypermethylation in the VHL promoter, and VHL markedly inhibits the level of tenascin-C (TNC) by inducing the ubiquitination of TNC. TNC reversed the inhibitory effect of VHL upregulation on the differentiation of oral fibroblasts into myofibroblasts. CONCLUSION DNMT3A induces OSF by promoting methylation of the VHL promoter. Hence, our study provides novel insights into the discovery of novel strategies that can be employed against OSF.
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Affiliation(s)
- Huifang Kuang
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Liyan Yang
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Zhixin Li
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Jinrong Wang
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Kaiyue Zheng
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Jie Mei
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Honglan Sun
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Yuqi Huang
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
| | - Chao Yang
- Department of Stomatology, The People's Hospital of Longhua, Shenzhen, China
- Research and Development Department, Shenzhen Uni-Medica Technology Co., Ltd, Shenzhen, China
| | - Wen Luo
- Department of Stomatology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- School of Stomatology, Hainan Medical University, Haikou, China
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50
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Anderson-Crannage M, Ascensión AM, Ibanez-Solé O, Zhu H, Schaefer E, Ottomanelli D, Hochberg B, Pan J, Luo W, Tian M, Chu Y, Cairo MS, Izeta A, Liao Y. Inflammation-mediated fibroblast activation and immune dysregulation in collagen VII-deficient skin. Front Immunol 2023; 14:1211505. [PMID: 37809094 PMCID: PMC10557493 DOI: 10.3389/fimmu.2023.1211505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/17/2023] [Indexed: 10/10/2023] Open
Abstract
Inflammation is known to play a critical role in all stages of tumorigenesis; however, less is known about how it predisposes the tissue microenvironment preceding tumor formation. Recessive dystrophic epidermolysis bullosa (RDEB), a skin-blistering disease secondary to COL7A1 mutations and associated with chronic wounding, inflammation, fibrosis, and cutaneous squamous cell carcinoma (cSCC), models this dynamic. Here, we used single-cell RNA sequencing (scRNAseq) to analyze gene expression patterns in skin cells from a mouse model of RDEB. We uncovered a complex landscape within the RDEB dermal microenvironment that exhibited altered metabolism, enhanced angiogenesis, hyperproliferative keratinocytes, infiltration and activation of immune cell populations, and inflammatory fibroblast priming. We demonstrated the presence of activated neutrophil and Langerhans cell subpopulations and elevated expression of PD-1 and PD-L1 in T cells and antigen-presenting cells, respectively. Unsupervised clustering within the fibroblast population further revealed two differentiation pathways in RDEB fibroblasts, one toward myofibroblasts and the other toward a phenotype that shares the characteristics of inflammatory fibroblast subsets in other inflammatory diseases as well as the IL-1-induced inflammatory cancer-associated fibroblasts (iCAFs) reported in various cancer types. Quantitation of inflammatory cytokines indicated dynamic waves of IL-1α, TGF-β1, TNF, IL-6, and IFN-γ concentrations, along with dermal NF-κB activation preceding JAK/STAT signaling. We further demonstrated the divergent and overlapping roles of these cytokines in inducing inflammatory phenotypes in RDEB patients as well as RDEB mouse-derived fibroblasts together with their healthy controls. In summary, our data have suggested a potential role of inflammation, driven by the chronic release of inflammatory cytokines such as IL-1, in creating an immune-suppressed dermal microenvironment that underlies RDEB disease progression.
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Affiliation(s)
- Morgan Anderson-Crannage
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
- Department of Cell Biology and Anatomy, New York Medical College, Valhalla, NY, United States
| | - Alex M. Ascensión
- Biodonostia Health Research Institute, Tissue Engineering Group, San Sebastian, Spain
| | - Olga Ibanez-Solé
- Biodonostia Health Research Institute, Tissue Engineering Group, San Sebastian, Spain
| | - Hongwen Zhu
- Department of Research & Development, Guizhou Atlasus Technology Co., Ltd., Guiyang, China
| | - Edo Schaefer
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Darcy Ottomanelli
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Bruno Hochberg
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Jian Pan
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Wen Luo
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Meijuan Tian
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Yaya Chu
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Mitchell S. Cairo
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
- Department of Cell Biology and Anatomy, New York Medical College, Valhalla, NY, United States
- Department of Medicine, New York Medical College, Valhalla, NY, United States
- Department of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, United States
| | - Ander Izeta
- Biodonostia Health Research Institute, Tissue Engineering Group, San Sebastian, Spain
- Department of Biomedical Engineering and Science, School of Engineering, Tecnun University of Navarra, San Sebastian, Spain
| | - Yanling Liao
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
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