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Ding T, Wen B, Chen J, Chu W, Fan R, Chen X. Excess homocysteine inhibits pancreatic β-cell secretory function by repressing Zbtb20 expression. Mol Cell Endocrinol 2024; 586:112195. [PMID: 38432501 DOI: 10.1016/j.mce.2024.112195] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/22/2024] [Accepted: 02/25/2024] [Indexed: 03/05/2024]
Abstract
Homocysteine (Hcy) is a sulfur-containing amino acid. An elevated level of Hcy is a risk factor for diabetes development. However, the mechanism of its effect on pancreatic β-cell function is unclear. In this study, we constructed a hyperhomocysteinemia (HHcy) mouse model by feeding mice a high methionine diet (HMD). The mice suffered impaired glucose tolerance and reduced insulin secretion. Furthermore, at the cellular level, INS1 cells exhibited impaired insulin secretory function after the Hcy intervention. Transcriptomics revealed that Zbtb20 expression was downregulated and the downstream gene Fbp1 was upregulated in HHcy-induced mice compared with mice fed with normal diet. Insulin secretion could be restored by Zbtb20 overexpression or fructose 1,6-bisphosphatase (FBPase) activity inhibition in INS1 cells. In conclusion, our study suggested that Hcy inhibited the insulin secretory function of pancreatic β-cells by suppressing Zbtb20 expression, leading to the development of diabetes. Zbtb20 may be a key target in the development of diabetes associated with elevated Hcy levels.
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Affiliation(s)
- Tianqi Ding
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Bo Wen
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Jian Chen
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Wenbin Chu
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Rong Fan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China; Central Laboratory, Tianjin Xiqing Hospital, Tianjin, 300380, China.
| | - Xuewei Chen
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China.
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2
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Bian Z, Zhang R, Yuan S, Fan R, Wang L, Larsson SC, Theodoratou E, Zhu Y, Wu S, Ding Y, Li X. Healthy lifestyle and cancer survival: A multinational cohort study. Int J Cancer 2024; 154:1709-1718. [PMID: 38230569 DOI: 10.1002/ijc.34846] [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: 07/06/2023] [Revised: 12/11/2023] [Accepted: 12/19/2023] [Indexed: 01/18/2024]
Abstract
Lifestyle factors after a cancer diagnosis could influence the survival of cancer 60 survivors. To examine the independent and joint associations of healthy lifestyle factors with mortality outcomes among cancer survivors, four prospective cohorts (National Health and Nutrition Examination Survey [NHANES], National Health Interview Survey [NHIS], UK Biobank [UKB] and Kailuan study) across three countries. A healthy lifestyle score (HLS) was defined based on five common lifestyle factors (smoking, alcohol drinking, diet, physical activity and body mass index) that related to cancer survival. We used Cox proportional hazards regression to estimate the hazard ratios (HRs) for the associations of individual lifestyle factors and HLS with all-cause and cancer mortality among cancer survivors. During the follow-up period of 37,095 cancer survivors, 8927 all-cause mortality events were accrued in four cohorts and 4449 cancer death events were documented in the UK and US cohorts. Never smoking (adjusted HR = 0.77, 95% CI: 0.69-0.86), light alcohol consumption (adjusted HR = 0.86, 95% CI: 0.82-0.90), adequate physical activity (adjusted HR = 0.90, 95% CI: 0.85-0.94), a healthy diet (adjusted HR = 0.69, 95% CI: 0.61-0.78) and optimal BMI (adjusted HR = 0.89, 95% CI: 0.85-0.93) were significantly associated with a lower risk of all-cause mortality. In the joint analyses of HLS, the HR of all-cause and cancer mortality for cancer survivors with a favorable HLS (4 and 5 healthy lifestyle factors) were 0.55 (95% CI 0.42-0.64) and 0.57 (95% CI 0.44-0.72), respectively. This multicohort study of cancer survivors from the United States, the United Kingdom and China found that greater adherence to a healthy lifestyle might be beneficial in improving cancer prognosis.
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Affiliation(s)
- Zilong Bian
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Rongqi Zhang
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Rong Fan
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lijuan Wang
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Yimin Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Yuan Ding
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xue Li
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
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3
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Hu B, Wiesehöfer M, de Miguel FJ, Liu Z, Chan LH, Choi J, Melnick MA, Arnal Estape A, Walther Z, Zhao D, Lopez-Giraldez F, Wurtz A, Cai G, Fan R, Gettinger S, Xiao A, Yan Q, Homer R, Nguyen DX, Politi K. ASCL1 Drives Tolerance to Osimertinib in EGFR Mutant Lung Cancer in Permissive Cellular Contexts. Cancer Res 2024; 84:1303-1319. [PMID: 38359163 DOI: 10.1158/0008-5472.can-23-0438] [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: 03/09/2023] [Revised: 11/28/2023] [Accepted: 02/13/2024] [Indexed: 02/17/2024]
Abstract
The majority of EGFR mutant lung adenocarcinomas respond well to EGFR tyrosine kinase inhibitors (TKI). However, most of these responses are partial, with drug-tolerant residual disease remaining even at the time of maximal response. This residual disease can ultimately lead to relapses, which eventually develop in most patients. To investigate the cellular and molecular properties of residual tumor cells in vivo, we leveraged patient-derived xenograft (PDX) models of EGFR mutant lung cancer. Subcutaneous EGFR mutant PDXs were treated with the third-generation TKI osimertinib until maximal tumor regression. Residual tissue inevitably harbored tumor cells that were transcriptionally distinct from bulk pretreatment tumor. Single-cell transcriptional profiling provided evidence of cells matching the profiles of drug-tolerant cells present in the pretreatment tumor. In one of the PDXs analyzed, osimertinib treatment caused dramatic transcriptomic changes that featured upregulation of the neuroendocrine lineage transcription factor ASCL1. Mechanistically, ASCL1 conferred drug tolerance by initiating an epithelial-to-mesenchymal gene-expression program in permissive cellular contexts. This study reveals fundamental insights into the biology of drug tolerance, the plasticity of cells through TKI treatment, and why specific phenotypes are observed only in certain tumors. SIGNIFICANCE Analysis of residual disease following tyrosine kinase inhibitor treatment identified heterogeneous and context-specific mechanisms of drug tolerance in lung cancer that could lead to the development of strategies to forestall drug resistance. See related commentary by Rumde and Burns, p. 1188.
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Affiliation(s)
- Bomiao Hu
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Marc Wiesehöfer
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | | | - Zongzhi Liu
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Lok-Hei Chan
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Jungmin Choi
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut
| | - Mary Ann Melnick
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Anna Arnal Estape
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Zenta Walther
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Dejian Zhao
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Genome Analysis (YCGA) Yale School of Medicine, New Haven, Connecticut
| | - Francesc Lopez-Giraldez
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Genome Analysis (YCGA) Yale School of Medicine, New Haven, Connecticut
| | - Anna Wurtz
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Guoping Cai
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Rong Fan
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
- Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, Connecticut
| | - Scott Gettinger
- Department of Medicine (Section of Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Andrew Xiao
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut
| | - Qin Yan
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Robert Homer
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - Don X Nguyen
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
- Department of Medicine (Section of Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Katerina Politi
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
- Department of Medicine (Section of Medical Oncology), Yale School of Medicine, New Haven, Connecticut
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4
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Dong L, Fan R, Shen B, Bo J, Pang Y, Song Y. A comparative study on fundamental movement skills among children with autism spectrum disorder and typically developing children aged 7-10. Front Psychol 2024; 15:1287752. [PMID: 38605844 PMCID: PMC11007089 DOI: 10.3389/fpsyg.2024.1287752] [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: 09/04/2023] [Accepted: 03/19/2024] [Indexed: 04/13/2024] Open
Abstract
Background Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with unique differences in social interaction, communication, and a spectrum of behavioral characteristics. In the past, motor disturbance in individuals with ASD has not been considered a significant core deficit due to the predominant focus on sociability and communication issues. However, recent studies indicate that motor deficits are indeed associated with the fundamental symptoms of ASD. As there is limited research on the motor behavior of children with ASD, particularly in China, the objective of this study is to investigate the development of fundamental movement skills (FMS) in children with ASD and compare them to typically developing children. Method The study recruited 108 children with ASD (87 boys, 21 girls) aged 7-10 years from two special education rehabilitation centers in Wuhan, China. For comparison, a control group of 108 typically developing children, matched by age and gender, was randomly selected from three local primary schools. FMS were assessed using the Movement Assessment Battery for Children - Second Edition (MABC-2), which evaluates manual dexterity, aiming and catching, as well as static and dynamic balance. Group differences on MABC-2 percentile scores were analyzed using descriptive statistics and Mann-Whitney U test. Effect sizes were also calculated for practical significance. Results Findings from the study showed that a significant majority, around 80%, of children with ASD either displayed motor challenges or were at risk of developing such delays. When comparing to their typically developing peers, children with ASD scored notably lower in areas of manual dexterity, ball skills, and both static and dynamic balance (with all these findings being statistically significant at p < 0.001). Interestingly, gender did not show a significant influence on these results (p > 0.05). Conclusion In addition to addressing the other skill development areas outlined in the diagnostic manual for ASD, clinicians diagnosing and treating children with ASD should also assess the presence of motor skill development. For individuals with ASD who have co-existing motor difficulties, it is essential to offer evidence-based interventions tailored to their specific needs.
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Affiliation(s)
- Liangshan Dong
- School of Physical Education, China University of Geoscience, Wuhan, China
| | - Rong Fan
- School of Physical Education, China University of Geoscience, Wuhan, China
| | - Bo Shen
- Division of Kinesiology, Wayne State University, Detroit, MI, United States
| | - Jin Bo
- Department of Psychology, Eastern Michigan University, Ypsilanti, MI, United States
| | - Yanli Pang
- School of Physical Education, Central China Normal University, Wuhan, China
| | - Yu Song
- School of Physical Education, Ji Mei University, Xiamen, China
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Johnston AC, Alicea GM, Lee CC, Patel PV, Hanna EA, Vaz E, Forjaz A, Wan Z, Nair PR, Lim Y, Chen T, Du W, Kim D, Nichakawade TD, Rebecca VW, Bonifant CL, Fan R, Kiemen AL, Wu PH, Wirtz D. Engineering self-propelled tumor-infiltrating CAR T cells using synthetic velocity receptors. bioRxiv 2024:2023.12.13.571595. [PMID: 38168186 PMCID: PMC10760159 DOI: 10.1101/2023.12.13.571595] [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] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Chimeric antigen receptor (CAR) T cells express antigen-specific synthetic receptors, which upon binding to cancer cells, elicit T cell anti-tumor responses. CAR T cell therapy has enjoyed success in the clinic for hematological cancer indications, giving rise to decade-long remissions in some cases. However, CAR T therapy for patients with solid tumors has not seen similar success. Solid tumors constitute 90% of adult human cancers, representing an enormous unmet clinical need. Current approaches do not solve the central problem of limited ability of therapeutic cells to migrate through the stromal matrix. We discover that T cells at low and high density display low- and high-migration phenotypes, respectively. The highly migratory phenotype is mediated by a paracrine pathway from a group of self-produced cytokines that include IL5, TNFα, IFNγ, and IL8. We exploit this finding to "lock-in" a highly migratory phenotype by developing and expressing receptors, which we call velocity receptors (VRs). VRs target these cytokines and signal through these cytokines' cognate receptors to increase T cell motility and infiltrate lung, ovarian, and pancreatic tumors in large numbers and at doses for which control CAR T cells remain confined to the tumor periphery. In contrast to CAR therapy alone, VR-CAR T cells significantly attenuate tumor growth and extend overall survival. This work suggests that approaches to the design of immune cell receptors that focus on migration signaling will help current and future CAR cellular therapies to infiltrate deep into solid tumors.
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Affiliation(s)
- Adrian C Johnston
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | | | - Cameron C Lee
- Department of Biomedical Engineering, Johns Hopkins University
| | - Payal V Patel
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Eban A Hanna
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Eduarda Vaz
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - André Forjaz
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Zeqi Wan
- Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University
| | - Praful R Nair
- Institute for NanoBioTechnology, Johns Hopkins University
| | - Yeongseo Lim
- Department of Biomedical Engineering, Johns Hopkins University
| | - Tina Chen
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Wenxuan Du
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
| | - Dongjoo Kim
- Department of Biomedical Engineering, Yale University
| | - Tushar D Nichakawade
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
| | - Vito W Rebecca
- Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University
| | - Challice L Bonifant
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
| | - Rong Fan
- Department of Biomedical Engineering, Yale University
| | - Ashley L Kiemen
- Institute for NanoBioTechnology, Johns Hopkins University
- Department of Pathology, Johns Hopkins School of Medicine, Johns Hopkins University
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
| | - Pei-Hsun Wu
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
| | - Denis Wirtz
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Department of Pathology, Johns Hopkins School of Medicine, Johns Hopkins University
- Department of Oncology, Johns Hopkins School of Medicine, Johns Hopkins University
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6
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Zhang X, Fan R, Yu Z, Du X, Yang X, Wang H, Xu W, Yu X. Genome-wide identification of GATA transcription factors in tetraploid potato and expression analysis in differently colored potato flesh. Front Plant Sci 2024; 15:1330559. [PMID: 38576788 PMCID: PMC10991705 DOI: 10.3389/fpls.2024.1330559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/04/2024] [Indexed: 04/06/2024]
Abstract
The GATA gene family belongs to a kind of transcriptional regulatory protein featuring a zinc finger motif, which is essential for plant growth and development. However, the identification of the GATA gene family in tetraploid potato is still not performed. In the present research, a total of 88 GATA genes in the tetraploid potato C88.v1 genome were identified by bioinformatics methods. These StGATA genes had an uneven distribution on 44 chromosomes, and the corresponding StGATA proteins were divided into four subfamilies (I-IV) based on phylogenetic analysis. The cis-elements of StGATA genes were identified, including multiple cis-elements related to light-responsive and hormone-responsive. The collinearity analysis indicates that segmental duplication is a key driving force for the expansion of GATA gene family in tetraploid potato, and that the GATA gene families of tetraploid potato and Arabidopsis share a closer evolutionary relationship than rice. The transcript profiling analysis showed that all 88 StGATA genes had tissue-specific expression, indicating that the StGATA gene family members participate in the development of multiple potato tissues. The RNA-seq analysis was also performed on the tuber flesh of two potato varieties with different color, and 18 differentially expressed GATA transcription factor genes were screened, of which eight genes were validated through qRT-PCR. In this study, we identified and characterized StGATA transcription factors in tetraploid potato for the first time, and screened differentially expressed genes in potato flesh with different color. It provides a theoretical basis for further understanding the StGATA gene family and its function in anthocyanin biosynthesis.
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Affiliation(s)
| | | | | | | | | | | | | | - Xiaoxia Yu
- Agricultural College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
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7
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Nair PR, Danilova L, Gómez-de-Mariscal E, Kim D, Fan R, Muñoz-Barrutia A, Fertig EJ, Wirtz D. MLL1 regulates cytokine-driven cell migration and metastasis. Sci Adv 2024; 10:eadk0785. [PMID: 38478601 PMCID: PMC10936879 DOI: 10.1126/sciadv.adk0785] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 02/07/2024] [Indexed: 03/17/2024]
Abstract
Cell migration is a critical contributor to metastasis. Cytokine production and its role in cancer cell migration have been traditionally associated with immune cells. We find that the histone methyltransferase Mixed-Lineage Leukemia 1 (MLL1) controls 3D cell migration via cytokines, IL-6, IL-8, and TGF-β1, secreted by the cancer cells themselves. MLL1, with its scaffold protein Menin, controls actin filament assembly via the IL-6/8/pSTAT3/Arp3 axis and myosin contractility via the TGF-β1/Gli2/ROCK1/2/pMLC2 axis, which together regulate dynamic protrusion generation and 3D cell migration. MLL1 also regulates cell proliferation via mitosis-based and cell cycle-related pathways. Mice bearing orthotopic MLL1-depleted tumors exhibit decreased lung metastatic burden and longer survival. MLL1 depletion leads to lower metastatic burden even when controlling for the difference in primary tumor growth rates. Combining MLL1-Menin inhibitor with paclitaxel abrogates tumor growth and metastasis, including preexistent metastasis. These results establish MLL1 as a potent regulator of cell migration and highlight the potential of targeting MLL1 in patients with metastatic disease.
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Affiliation(s)
- Praful R. Nair
- Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Ludmila Danilova
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Estibaliz Gómez-de-Mariscal
- Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid, 28911 Leganés, and Instituto de Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain
- Optical Cell Biology Group, Instituto Gulbenkian de Ciência, R. Q.ta Grande 6 2780, 2780-156 Oeiras, Portugal
| | - Dongjoo Kim
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Arrate Muñoz-Barrutia
- Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid, 28911 Leganés, and Instituto de Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain
| | - Elana J. Fertig
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21218, USA
| | - Denis Wirtz
- Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
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8
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Zhang G, Fan R, Yang H, Su H, Yu X, Wang Y, Feng F, Zhu L. Safety and efficacy of sirolimus in recurrent intravenous leiomyomatosis, pulmonary benign metastatic leiomyomatosis, and leiomyomatosis peritonealis disseminata: a pilot study. BMC Med 2024; 22:119. [PMID: 38481209 PMCID: PMC10938730 DOI: 10.1186/s12916-024-03344-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/06/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Intravenous leiomyomatosis (IVL), pulmonary benign metastatic leiomyomatosis (PBML), and leiomyomatosis peritonealis disseminata (LPD) are leiomyomas with special growth patterns and high postoperative recurrence rates. We report the safety and efficacy of a pilot study of sirolimus in the treatment of recurrent IVL, PBML, and recurrent LPD. METHODS This was a pilot study to evaluate the safety and efficacy of sirolimus in the treatment of leiomyomatosis (ClinicalTrials.gov identifier NCT03500367) conducted in China. Patients received oral sirolimus 2 mg once a day for a maximum of 60 months or until disease progression, intolerable toxicity, withdrawal of consent, or investigator decision to stop. The primary end point of this study was the objective response rate. Secondary end points included safety and tolerability, disease control rate, and progression-free survival. RESULTS A total of 15 patients with leiomyomatosis were included in the study, including five with recurrent IVL, eight with PBML and two with recurrent LPD. The median follow-up time was 15 months (range 6-54 months), nine patients (60%) had treatment-related adverse events (including all levels), and two patients had treatment-related grade 3 or 4 adverse events. The objective response rate was 20.0% (95% CI, 7.1-45.2%), and the disease control rate was 86.7% (95% CI, 62.1-96.3%). Partial response was achieved in three patients. The median response time in the three partial response patients was 33 months (range 29-36 months), and the sustained remission time of these three patients reached 0, 18, and 25 months, respectively. CONCLUSIONS Sirolimus was safe and effective in the treatment of recurrent IVL, PBML, and recurrent LPD. TRIAL REGISTRATION ClinicalTrials.gov identifier NCT03500367. Registered on 18 April 2018.
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Affiliation(s)
- Guorui Zhang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China
| | - Rong Fan
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China
| | - Hua Yang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China
| | - Hao Su
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China
| | - Xin Yu
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China
| | - Yutong Wang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China
| | - Fengzhi Feng
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China.
| | - Lan Zhu
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Fengzhi Feng, No. 1, Shuaifuyuan, Beijing, 100730, Wangfujing, China.
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Yan Q, Zhuang Z, Fan R, Wang J, Yao T, Tan J. Access to N-Aryl (Iso)quinolones via Aryne-Induced Three-Component Coupling Reaction. Org Lett 2024; 26:1840-1844. [PMID: 38412291 DOI: 10.1021/acs.orglett.3c04385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
N-Aryl (iso)quinolones are of increasing interest in material and medicinal chemistry, although general routes for their provision remain underexplored, especially when compared with its N-alkyl counterparts. Herein, we report a modular and transition-metal-free, aryne-induced three-component coupling protocol that allows the facile synthesis of structurally diverse N-aryl (iso)quinolones from readily accessible halo-(iso)quinolines in the presence of water. Preliminary results highlight the applicability of our method through scale-up synthesis, downstream derivatization, and flexible synthesis involving other types of aryne precursors.
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Affiliation(s)
- Qiang Yan
- College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
- College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China
| | - Zhe Zhuang
- College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Rong Fan
- College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Jingwen Wang
- College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Tuanli Yao
- College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China
| | - Jiajing Tan
- College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
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10
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Janiszewska M, Tabassum DP, Castaño Z, Cristea S, Yamamoto KN, Kingston NL, Murphy KC, Shu S, Harper NW, Del Alcazar CG, Alečković M, Ekram MB, Cohen O, Kwak M, Qin Y, Laszewski T, Luoma A, Marusyk A, Wucherpfennig KW, Wagle N, Fan R, Michor F, McAllister SS, Polyak K. Author Correction: Subclonal cooperation drives metastasis by modulating local and systemic immune microenvironments. Nat Cell Biol 2024:10.1038/s41556-024-01385-z. [PMID: 38443568 DOI: 10.1038/s41556-024-01385-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Affiliation(s)
- Michalina Janiszewska
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Molecular Medicine, The Scripps Research Institute, Jupiter, FL, USA
| | - Doris P Tabassum
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Research Square, Durham, NC, USA
| | - Zafira Castaño
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Hematology Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Simona Cristea
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Kimiyo N Yamamoto
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Natalie L Kingston
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Katherine C Murphy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shaokun Shu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nicholas W Harper
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Carlos Gil Del Alcazar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Maša Alečković
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Muhammad B Ekram
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- WuXi NextCODE, Cambridge, MA, USA
| | - Ofir Cohen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- The Eli and Edythe L. Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Minsuk Kwak
- Department of Biomedical Engineering, Yale School of Medicine, New Haven, CT, USA
- Yale Comprehensive Cancer Center, New Haven, CT, USA
| | - Yuanbo Qin
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Hematology Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- EdiGene, Cambridge, MA, USA
| | - Tyler Laszewski
- Hematology Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Adrienne Luoma
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, and Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA
| | - Andriy Marusyk
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Cancer Imaging and Metabolism, Moffitt Cancer Center, Tampa, FL, USA
| | - Kai W Wucherpfennig
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, and Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA
| | - Nikhil Wagle
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- The Eli and Edythe L. Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale School of Medicine, New Haven, CT, USA
- Yale Comprehensive Cancer Center, New Haven, CT, USA
| | - Franziska Michor
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- The Eli and Edythe L. Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA, USA
- Ludwig Center at Harvard, Boston, MA, USA
| | - Sandra S McAllister
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Hematology Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- The Eli and Edythe L. Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- The Eli and Edythe L. Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA, USA.
- Ludwig Center at Harvard, Boston, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
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11
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Fan R, Yu N, Li G, Arshad T, Liu WY, Wong GLH, Liang X, Chen Y, Jin XZ, Leung HHW, Chen J, Wang XD, Yip TCF, Sanyal AJ, Sun J, Wong VWS, Zheng MH, Hou J. Machine-learning model comprising five clinical indices and liver stiffness measurement can accurately identify MASLD-related liver fibrosis. Liver Int 2024; 44:749-759. [PMID: 38131420 DOI: 10.1111/liv.15818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/13/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND & AIMS aMAP score, as a hepatocellular carcinoma risk score, is proven to be associated with the degree of chronic hepatitis B-related liver fibrosis. We aimed to evaluate the ability of aMAP score for metabolic dysfunction-associated steatotic liver disease (MASLD; formerly NAFLD)-related fibrosis diagnosis and establish a machine-learning (ML) model to improve the diagnostic performance. METHODS A total of 946 biopsy-proved MASLD patients from China and the United States were included in the analysis. The aMAP score, demographic/clinical indices and liver stiffness measurement (LSM) were included in seven ML algorithms to build fibrosis diagnostic models in the training set (N = 703). The performance of ML models was evaluated in the external validation set (N = 125). RESULTS The AUROCs of aMAP versus fibrosis-4 index (FIB-4) and aspartate aminotransferase-platelet ratio (APRI) in cirrhosis and advanced fibrosis were (0.850 vs. 0.857 [P = 0.734], 0.735 [P = 0.001]) and (0.759 vs. 0.795 [P = 0.027], 0.709 [P = 0.049]). When using dual cut-off values, aMAP had a smaller uncertainty area and higher accuracy (26.9%, 86.6%) than FIB-4 (37.3%, 85.0%) and APRI (59.0%, 77.3%) in cirrhosis diagnosis. The seven ML models performed satisfactorily in most cases. In the validation set, the ML model comprising LSM and 5 indices (including age, sex, platelets, albumin and total bilirubin used in aMAP calculator), built by logistic regression algorithm (called LSM-plus model), exhibited excellent performance. In cirrhosis and advanced fibrosis detection, the LSM-plus model had higher accuracy (96.8%, 91.2%) than LSM alone (86.4%, 67.2%) and Agile score (76.0%, 83.2%), respectively. Additionally, the LSM-plus model also displayed high specificity (cirrhosis: 98.3%; advanced fibrosis: 92.6%) with satisfactory AUROC (0.932, 0.875, respectively) and sensitivity (88.9%, 82.4%, respectively). CONCLUSIONS The aMAP score is capable of diagnosing MASLD-related fibrosis. The LSM-plus model could accurately identify MASLD-related cirrhosis and advanced fibrosis.
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Affiliation(s)
- Rong Fan
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ning Yu
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guanlin Li
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Tamoore Arshad
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Wen-Yue Liu
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Grace Lai-Hung Wong
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Xieer Liang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yongpeng Chen
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiao-Zhi Jin
- MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Howard Ho-Wai Leung
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Jinjun Chen
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiao-Dong Wang
- Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Terry Cheuk-Fung Yip
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Arun J Sanyal
- Division of Gastroenterology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jian Sun
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Ming-Hua Zheng
- MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Jinlin Hou
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Bai Z, Zhang D, Gao Y, Tao B, Bao S, Enninful A, Zhang D, Su G, Tian X, Zhang N, Xiao Y, Liu Y, Gerstein M, Li M, Xing Y, Lu J, Xu ML, Fan R. Spatially Exploring RNA Biology in Archival Formalin-Fixed Paraffin-Embedded Tissues. bioRxiv 2024:2024.02.06.579143. [PMID: 38370833 PMCID: PMC10871202 DOI: 10.1101/2024.02.06.579143] [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] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Spatial transcriptomics has emerged as a powerful tool for dissecting spatial cellular heterogeneity but as of today is largely limited to gene expression analysis. Yet, the life of RNA molecules is multifaceted and dynamic, requiring spatial profiling of different RNA species throughout the life cycle to delve into the intricate RNA biology in complex tissues. Human disease-relevant tissues are commonly preserved as formalin-fixed and paraffin-embedded (FFPE) blocks, representing an important resource for human tissue specimens. The capability to spatially explore RNA biology in FFPE tissues holds transformative potential for human biology research and clinical histopathology. Here, we present Patho-DBiT combining in situ polyadenylation and deterministic barcoding for spatial full coverage transcriptome sequencing, tailored for probing the diverse landscape of RNA species even in clinically archived FFPE samples. It permits spatial co-profiling of gene expression and RNA processing, unveiling region-specific splicing isoforms, and high-sensitivity transcriptomic mapping of clinical tumor FFPE tissues stored for five years. Furthermore, genome-wide single nucleotide RNA variants can be captured to distinguish different malignant clones from non-malignant cells in human lymphomas. Patho-DBiT also maps microRNA-mRNA regulatory networks and RNA splicing dynamics, decoding their roles in spatial tumorigenesis trajectory. High resolution Patho-DBiT at the cellular level reveals a spatial neighborhood and traces the spatiotemporal kinetics driving tumor progression. Patho-DBiT stands poised as a valuable platform to unravel rich RNA biology in FFPE tissues to study human tissue biology and aid in clinical pathology evaluation.
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Affiliation(s)
- Zhiliang Bai
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Dingyao Zhang
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Yan Gao
- Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Bo Tao
- Department of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Shuozhen Bao
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Archibald Enninful
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Daiwei Zhang
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Graham Su
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Xiaolong Tian
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Ningning Zhang
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Yang Xiao
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Yang Liu
- Department of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Mark Gerstein
- Section on Biomedical Informatics and Data Science, Yale University, New Haven, CT 06520, USA
| | - Mingyao Li
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yi Xing
- Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jun Lu
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Mina L. Xu
- Department of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale University School of Medicine, New Haven, CT 06520, USA
- Human and Translational Immunology, Yale University School of Medicine, New Haven, CT 06520, USA
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13
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Geng J, Zhao J, Fan R, Zhu Z, Zhang Y, Zhu Y, Yang Y, Xu L, Lin X, Hu K, Rudan I, Song P, Li X, Wu X. Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019. J Glob Health 2024; 14:04033. [PMID: 38299781 PMCID: PMC10832550 DOI: 10.7189/jogh.14.04033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2024] Open
Abstract
Background Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary indicator - the quality of care index (QCI) - and examined its potential for improvement. Methods Using the Global Burden of Disease 2019 data set, we calculated the QCI of MM for 195 countries and territories. We used the principal component analysis to extract the first principal component of ratios with the combinations of mortality to incidence, prevalence to incidence, disability-adjusted life years to prevalence, and years of life lost to years lived with disability as QCI. We also conducted a series of descriptive and comparative analyses of QCI disparities with age, gender, period, geographies, and sociodemographic development, and compared the QCI among countries with similar socio-demographic index (SDI) through frontier analysis. Results The age-standardised rates of MM were 1.92 (95% uncertainty interval (UI) = 1.68, 2.12) in incidence and 1.42 (95% UI = 1.24, 1.52) in deaths per 100 000 population in 2019, and were predicted to increase in the future. The global age-standardised QCI increased from 51.31 in 1990 to 64.28 in 2019. In 2019, New Zealand had the highest QCI at 99.29 and the Central African Republic had the lowest QCI at 10.74. The gender disparity of QCI was reduced over the years, with the largest being observed in the sub-Saharan region. Regarding age, QCI maintained a decreasing trend in patients aged >60 in SDI quintiles. Generally, QCI improved with the SDI increase. Results of frontier analysis suggested that there is a potential to improve the quality of care across all levels of development spectrum. Conclusions Quality of care of MM improved during the past three decades, yet disparities in MM care remain across different countries, age groups, and genders. It is crucial to establish local objectives aimed at enhancing MM care and closing the gap in health care inequality.
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Affiliation(s)
- Jiawei Geng
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhui Zhao
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Rong Fan
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zecheng Zhu
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuchen Zhang
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yingshuang Zhu
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yichi Yang
- Department of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Liying Xu
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangjie Lin
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Hematologic Malignancies, Diagnosis and Treatment, Hangzhou, Zhejiang, China
| | - Kejia Hu
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Igor Rudan
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Peige Song
- School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Xifeng Wu
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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14
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Shi R, Liu Z, Yue H, Li M, Liu S, De D, Li R, Chen Y, Cheng S, Gu X, Jia M, Li J, Li J, Zhang S, Feng N, Fan R, Fu F, Liu Y, Ding M, Pei J. IP 3R1-mediated MAMs formation contributes to mechanical trauma-induced hepatic injury and the protective effect of melatonin. Cell Mol Biol Lett 2024; 29:22. [PMID: 38308199 PMCID: PMC10836028 DOI: 10.1186/s11658-023-00509-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/02/2023] [Indexed: 02/04/2024] Open
Abstract
INTRODUCTION There is a high morbidity and mortality rate in mechanical trauma (MT)-induced hepatic injury. Currently, the molecular mechanisms underlying liver MT are largely unclear. Exploring the underlying mechanisms and developing safe and effective medicines to alleviate MT-induced hepatic injury is an urgent requirement. The aim of this study was to reveal the role of mitochondria-associated ER membranes (MAMs) in post-traumatic liver injury, and ascertain whether melatonin protects against MT-induced hepatic injury by regulating MAMs. METHODS Hepatic mechanical injury was established in Sprague-Dawley rats and primary hepatocytes. A variety of experimental methods were employed to assess the effects of melatonin on hepatic injury, apoptosis, MAMs formation, mitochondrial function and signaling pathways. RESULTS Significant increase of IP3R1 expression and MAMs formation were observed in MT-induced hepatic injury. Melatonin treatment at the dose of 30 mg/kg inhibited IP3R1-mediated MAMs and attenuated MT-induced liver injury in vivo. In vitro, primary hepatocytes cultured in 20% trauma serum (TS) for 12 h showed upregulated IP3R1 expression, increased MAMs formation and cell injury, which were suppressed by melatonin (100 μmol/L) treatment. Consequently, melatonin suppressed mitochondrial calcium overload, increased mitochondrial membrane potential and improved mitochondrial function under traumatic condition. Melatonin's inhibitory effects on MAMs formation and mitochondrial calcium overload were blunted when IP3R1 was overexpressed. Mechanistically, melatonin bound to its receptor (MR) and increased the expression of phosphorylated ERK1/2, which interacted with FoxO1 and inhibited the activation of FoxO1 that bound to the IP3R1 promoter to inhibit MAMs formation. CONCLUSION Melatonin prevents the formation of MAMs via the MR-ERK1/2-FoxO1-IP3R1 pathway, thereby alleviating the development of MT-induced liver injury. Melatonin-modulated MAMs may be a promising therapeutic therapy for traumatic hepatic injury.
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Affiliation(s)
- Rui Shi
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Zhenhua Liu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Huan Yue
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
- School of Life Science, Northwest University, Xi'an, China
| | - Man Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
- School of Life Science, Northwest University, Xi'an, China
| | - Simin Liu
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dema De
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Runjing Li
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Yunan Chen
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Shuli Cheng
- The Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Laboratory Center of Stomatology, Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, Xi'an, China
| | - Xiaoming Gu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Min Jia
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Jun Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Juan Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Shumiao Zhang
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Na Feng
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Rong Fan
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Feng Fu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Yali Liu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China.
| | - Mingge Ding
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
- The Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Laboratory Center of Stomatology, Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
| | - Jianming Pei
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China.
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15
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Chen L, Wu T, Fan R, Qian YS, Liu JF, Bai J, Zheng B, Liu XL, Zheng D, Du LT, Jiang GQ, Wang YC, Fan XT, Deng GH, Wang CY, Shen F, Hu HP, Zhang QZ, Ye YN, Zhang J, Gao YH, Xia J, Yan HD, Liang MF, Yu YL, Sun FM, Gao YJ, Sun J, Zhong CX, Wang Y, Wang H, Kong F, Chen JM, Wen H, Wu BM, Wang CX, Wu L, Hou JL, Wang HY. Cell-free DNA testing for early hepatocellular carcinoma surveillance. EBioMedicine 2024; 100:104962. [PMID: 38184937 PMCID: PMC10808903 DOI: 10.1016/j.ebiom.2023.104962] [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: 09/11/2023] [Revised: 12/17/2023] [Accepted: 12/24/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND Liver cirrhosis (LC) is the highest risk factor for hepatocellular carcinoma (HCC) development worldwide. The efficacy of the guideline-recommended surveillance methods for patients with LC remains unpromising. METHODS A total of 4367 LCs not previously known to have HCC and 510 HCCs from 16 hospitals across 11 provinces of China were recruited in this multi-center, large-scale, cross-sectional study. Participants were divided into Stage Ⅰ cohort (510 HCCs and 2074 LCs) and Stage Ⅱ cohort (2293 LCs) according to their enrollment time and underwent Tri-phasic CT/enhanced MRI, US, AFP, and cell-free DNA (cfDNA). A screening model called PreCar Score was established based on five features of cfDNA using Stage Ⅰ cohort. Surveillance performance of PreCar Score alone or in combination with US/AFP was evaluated in Stage Ⅱ cohort. FINDINGS PreCar Score showed a significantly higher sensitivity for the detection of early/very early HCC (Barcelona stage A/0) in contrast to US (sensitivity of 51.32% [95% CI: 39.66%-62.84%] at 95.53% [95% CI: 94.62%-96.38%] specificity for PreCar Score; sensitivity of 23.68% [95% CI: 14.99%-35.07%] at 99.37% [95% CI: 98.91%-99.64%] specificity for US) (P < 0.01, Fisher's exact test). PreCar Score plus US further achieved a higher sensitivity of 60.53% at 95.08% specificity for early/very early HCC screening. INTERPRETATION Our study developed and validated a cfDNA-based screening tool (PreCar Score) for HCC in cohorts at high risk. The combination of PreCar Score and US can serve as a promising and practical strategy for routine HCC care. FUNDING A full list of funding bodies that contributed to this study can be found in Acknowledgments section.
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Affiliation(s)
- Lei Chen
- National Center of Liver Cancer, Navel Medical University, Shanghai, 210822, PR China; International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute/Hospital, Shanghai, 200438, PR China.
| | - Tong Wu
- National Center of Liver Cancer, Navel Medical University, Shanghai, 210822, PR China; Department of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, l10016, PR China
| | - Rong Fan
- Department of Infectious Diseases, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, PR China; Hepatology Unit, Shenzhen Hospital, Southern Medical University, Shenzhen, PR China
| | - Yun-Song Qian
- Hepatology Department, Ningbo Hwamei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, PR China
| | - Jing-Feng Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, PR China
| | - Jian Bai
- Berry Oncology Corporation, Beijing, 100102, PR China
| | - Bo Zheng
- National Center of Liver Cancer, Navel Medical University, Shanghai, 210822, PR China; International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute/Hospital, Shanghai, 200438, PR China
| | - Xiao-Long Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, PR China
| | - Dan Zheng
- Department of Gastroenterology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, PR China
| | - Lu-Tao Du
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 247 Beiyuan Street, Jinan 250033, Shandong, PR China; Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, PR China
| | - Guo-Qing Jiang
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, 225001, PR China
| | - Ying-Chao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, PR China
| | - Xiao-Tang Fan
- Department of Hepatology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830000, PR China
| | - Guo-Hong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, PR China
| | - Chun-Ying Wang
- Xuzhou Infectious Diseases Hospital, Xuzhou, 221004, PR China
| | - Feng Shen
- Department of Hepatic Surgery IV, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, 200438, PR China
| | - He-Ping Hu
- Department of Hepatobiliary Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 210822, PR China
| | | | - Yi-Nong Ye
- The Department of Infectious Disease, The First People's Hospital of Foshan, Foshan City, 528000, PR China
| | - Jing Zhang
- Berry Oncology Corporation, Beijing, 100102, PR China
| | - Yan-Hang Gao
- The First Hospital of Jilin University, Jilin, 130021, PR China
| | - Jie Xia
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, PR China
| | - Hua-Dong Yan
- Hepatology Department, Ningbo Hwamei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, PR China
| | - Min-Feng Liang
- The Department of Infectious Disease, The First People's Hospital of Foshan, Foshan City, 528000, PR China
| | - Yan-Long Yu
- Chifeng Clinical Medical School of Inner Mongolia Medical University, Chifeng, 024000, PR China
| | - Fu-Ming Sun
- Berry Oncology Corporation, Beijing, 100102, PR China
| | - Yu-Jing Gao
- Xuzhou Infectious Diseases Hospital, Xuzhou, 221004, PR China
| | - Jian Sun
- Department of Infectious Diseases, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, PR China
| | - Chun-Xiu Zhong
- Department of Infectious Diseases, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, PR China
| | - Yin Wang
- Berry Oncology Corporation, Beijing, 100102, PR China
| | - Hui Wang
- Department of Hepatobiliary Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 210822, PR China
| | - Fei Kong
- The First Hospital of Jilin University, Jilin, 130021, PR China
| | - Jin-Ming Chen
- Chifeng Clinical Medical School of Inner Mongolia Medical University, Chifeng, 024000, PR China
| | - Hao Wen
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830000, PR China
| | - Bo-Ming Wu
- Hepatology Department, Ningbo Hwamei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, PR China
| | - Chuan-Xin Wang
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 247 Beiyuan Street, Jinan 250033, Shandong, PR China; Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, PR China.
| | - Lin Wu
- Berry Oncology Corporation, Beijing, 100102, PR China.
| | - Jin-Lin Hou
- Department of Infectious Diseases, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, PR China; Hepatology Unit, Shenzhen Hospital, Southern Medical University, Shenzhen, PR China.
| | - Hong-Yang Wang
- National Center of Liver Cancer, Navel Medical University, Shanghai, 210822, PR China; International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute/Hospital, Shanghai, 200438, PR China; Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer (SMMU), Ministry of Education, Shanghai, 200438, PR China; Shanghai Key Laboratory of Hepatobiliary Tumor Biology (EHBH), Shanghai, 200438, PR China.
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16
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Zhu K, Fan R, Cao Y, Yang W, Zhang Z, Zhou Q, Ren J, Shi X, Gao Y, Guo X. Glycyrrhizin attenuates myocardial ischemia reperfusion injury by suppressing Inflammation, oxidative stress, and ferroptosis via the HMGB1-TLR4-GPX4 pathway. Exp Cell Res 2024; 435:113912. [PMID: 38176464 DOI: 10.1016/j.yexcr.2024.113912] [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: 12/30/2023] [Accepted: 01/01/2024] [Indexed: 01/06/2024]
Abstract
Ferroptosis, a form of regulated cell death process, play an important role in myocardial ischemia‒reperfusion (I/R) injury. Glycyrrhizin (GL), a natural glycoconjugate triterpene, has the property to improve growth rate, immune regulation, antioxidant, anti-inflammatory. However, whether GL can attenuate myocardial I/R injury by modulating ferroptosis or other mechanisms are still unclear. In this study, SD rats underwent in vivo myocardial ischemia/reperfusion (I/R) surgery, while H9C2 cells were subjected to the hypoxia/reoxygenation (H/R) model for in vitro experiments. In addition, TAK-242, a TLR4-specific antagonist, and GL were also used to evaluate the effect and mechanisms of GL on the cardiac function and expression of ferroptosis-related gene and protein in vivo and vitro. The results show that GL decreased not only the expression of the inflammation-related factors (HMGB1, TNF-α, IL-6, IL-18 and IL-1β), but also reduced the number of TUNEL-positive cardiomyocytes, and mitigated pathological alterations in I/R injury. In addition, GL decreased the levels of MDA, promoted antioxidant capacity such as GSH, CAT, Cu/Zn-SOD, Mn-SOD, and SOD in vivo and vitro. More importantly, GL and TAK-242 regulate ferroptosis-related protein and gene expression in I/R and H/R model. Surprisingly, GL may ameliorate cardiomyocyte ferroptosis and ultimately improves cardiac function induced by H/R via the HMGB1-TLR4-GPX4 axis. Therefore, we have highlighted a novel mechanism by which GL regulates inflammation, oxidative stress, and ferroptosis via the HMGB1-TLR4-GPX4 pathway to prevent myocardial I/R injury. GL appears to be a potentially applicable drug for the treatment of myocardial I/R injury.
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Affiliation(s)
- Kaiyi Zhu
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanxi Academy of Advanced Research and Innovation, Taiyuan, 030032, China.
| | - Rong Fan
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuchen Cao
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Yang
- Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China
| | - Zhe Zhang
- Shanxi Academy of Advanced Research and Innovation, Taiyuan, 030032, China; Department of Pulmonary and Critical Care Medicine, Aerospace Center Hospital, Beijing, 100049, China
| | - Qiang Zhou
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Ren
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiushan Shi
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuping Gao
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Cellular Physiology, Shanxi Province, Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, China.
| | - Xiang Guo
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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17
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Zhang D, Wang M, Li Y, Liang G, Zheng W, Gui L, Li X, Zhang L, Zeng W, Yang Y, Zeng Y, Huang Z, Fan R, Lu Y, Guan J, Li T, Cheng J, Yang H, Chen L, Zhou J, Gong M. Integrated metabolomics revealed the photothermal therapy of melanoma by Mo 2C nanosheets: toward rehabilitated homeostasis in metabolome combined lipidome. J Mater Chem B 2024; 12:730-741. [PMID: 38165726 DOI: 10.1039/d3tb02123h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Melanoma, the most aggressive and life-threatening form of skin cancer, lacks innovative therapeutic approaches and deeper bioinformation. In this study, we developed a photothermal therapy (PTT) based on Mo2C nanosheets to eliminate melanoma while utilizing integrated metabolomics to investigate the metabolic shift of metabolome combined lipidome during PTT at the molecular level. Our results demonstrated that 1 mg ml-1 Mo2C nanosheets could efficiently convert laser energy into heat with a strong and stable photothermal effect (74 ± 0.9 °C within 7 cycles). Furthermore, Mo2C-based PTT led to a rapid decrease in melanoma volume (from 3.299 to 0 cm2) on the sixth day, indicating the effective elimination of melanoma. Subsequent integrated metabolomics analysis revealed significant changes in aqueous metabolites (including organic acids, amino acids, fatty acids, and amines) and lipid classes (including phospholipids, lysophospholipids, and sphingolipids), suggesting that melanoma caused substantial fluctuations in both metabolome and lipidome, while Mo2C-based PTT helped improve amino acid metabolism-related biological events (such as tryptophan metabolism) impaired by melanoma. These findings suggest that Mo2C nanosheets hold significant potential as an effective therapeutic agent for skin tumors, such as melanoma. Moreover, through exploring multidimensional bioinformation, integrated metabolomics technology provides novel insights for studying the metabolic effects of tumors, monitoring the correction of metabolic abnormalities by Mo2C nanosheet therapy, and evaluating the therapeutic effect on tumors.
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Affiliation(s)
- Dingkun Zhang
- Department of Plastic and Burn Surgery, Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, P. R. China.
- NHC Key Laboratory of Transplant Engineering and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Ming Wang
- Department of Neurosurgery, Sichuan Clinical Medical Research Center for Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, P. R. China.
| | - Yijin Li
- Department of Plastic and Burn Surgery, Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, P. R. China.
- NHC Key Laboratory of Transplant Engineering and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Ge Liang
- Metabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, P. R. China
| | - Wen Zheng
- Metabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, P. R. China
| | - Luolan Gui
- Metabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, P. R. China
| | - Xin Li
- Metabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, P. R. China
| | - Lu Zhang
- Metabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, P. R. China
| | - Wenjuan Zeng
- Metabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, P. R. China
| | - Yin Yang
- Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yu Zeng
- Metabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, P. R. China
| | - Zhe Huang
- Department of Neurosurgery, Sichuan Clinical Medical Research Center for Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, P. R. China.
| | - Rong Fan
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, P. R. China
- Chengdu Research Institute, City University of Hong Kong, Chengdu, P. R. China
| | - Yang Lu
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, P. R. China
- Chengdu Research Institute, City University of Hong Kong, Chengdu, P. R. China
| | - Junwen Guan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Tao Li
- Laboratory of Mitochondria and Metabolism, Department of Anesthesiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jingqiu Cheng
- Department of Plastic and Burn Surgery, Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, P. R. China.
- NHC Key Laboratory of Transplant Engineering and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Yang
- Department of Plastic and Burn Surgery, Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, P. R. China.
- NHC Key Laboratory of Transplant Engineering and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Ligang Chen
- Department of Neurosurgery, Sichuan Clinical Medical Research Center for Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, P. R. China.
| | - Jie Zhou
- Department of Neurosurgery, Sichuan Clinical Medical Research Center for Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, P. R. China.
| | - Meng Gong
- Department of Plastic and Burn Surgery, Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, P. R. China.
- NHC Key Laboratory of Transplant Engineering and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
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18
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Malik S, Pradeep SP, Kumar V, Xiao Y, Deng Y, Fan R, Vasquez JC, Singh V, Bahal R. Antitumor efficacy of a sequence-specific DNA-targeted γPNA-based c-Myc inhibitor. Cell Rep Med 2024; 5:101354. [PMID: 38183981 PMCID: PMC10829792 DOI: 10.1016/j.xcrm.2023.101354] [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: 10/13/2022] [Revised: 09/21/2023] [Accepted: 12/11/2023] [Indexed: 01/08/2024]
Abstract
Targeting oncogenes at the genomic DNA level can open new avenues for precision medicine. Significant efforts are ongoing to target oncogenes using RNA-targeted and protein-targeted platforms, but no progress has been made to target genomic DNA for cancer therapy. Here, we introduce a gamma peptide nucleic acid (γPNA)-based genomic DNA-targeted platform to silence oncogenes in vivo. γPNAs efficiently invade the mixed sequences of genomic DNA with high affinity and specificity. As a proof of concept, we establish that γPNA can inhibit c-Myc transcription in multiple cell lines. We evaluate the in vivo efficacy and safety of genomic DNA targeting in three pre-clinical models. We also establish that anti-transcription γPNA in combination with histone deacetylase inhibitors and chemotherapeutic drugs results in robust antitumor activity in cell-line- and patient-derived xenografts. Overall, this strategy offers a unique therapeutic platform to target genomic DNA to inhibit oncogenes for cancer therapy.
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Affiliation(s)
- Shipra Malik
- Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Sai Pallavi Pradeep
- Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Vikas Kumar
- Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Yong Xiao
- Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA; Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yanxiang Deng
- Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA; Human and Translational Immunology, Yale School of Medicine, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Juan C Vasquez
- Department of Pediatrics, Yale School of Medicine, New Haven, CT 06520, USA
| | - Vijender Singh
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
| | - Raman Bahal
- Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269, USA.
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19
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Luan X, Li G, Ding Y, Sun J, Li X, Jiang W, Shi Y, He M, Guo J, Fan R, Zheng J, Li Y, Duan X, Zhang G. Serum apoptosis-associated speck-like protein containing a caspase-recruitment domain (ASC) is a novel stroke biomarker. Clin Chim Acta 2024; 553:117734. [PMID: 38128818 DOI: 10.1016/j.cca.2023.117734] [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: 06/20/2023] [Revised: 11/20/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Apoptosis-associated speck-like protein containing a caspase-recruitment domain (ASC) is a promising stroke biomarker. However, a large study of human serum ASC has not yet to be reported; additionally, the diagnostic value of prehospital concentration and practicality of ASC remains unknown. METHODS We recruited 774 Chinese stroke patients, including 523 with ischemic stroke (IS) and 251 with hemorrhagic stroke (HS) within 14 days following symptom onset in the emergency department, alongside 481 healthy individuals and 64 cognitive impairment patients as controls. Serum ASC concentrations were determined using automated chemiluminescence immunoassay, exploring the relationship between serum ASC concentration and subtypes, severity, and sampling timepoints of stroke. RESULTS ASC concentrations were significantly higher in stroke patients compared with all controls (P < 0.001). HS patients had greater ASC concentrations than IS patients (P < 0.05). With increasing ASC concentration, the proportion of severe cases increased. The area under the receiver operating characteristic curve (AUC) for differentiating between healthy individuals and stroke patients in the hyperacute phase was 0.78; this markedly improved (0.90) when considering samples from healthy individuals and patients with subarachnoid hemorrhage (SAH) ≤ 3 h from last-known-well (LKW). CONCLUSIONS Serum ASC is a valuable biomarker for stroke differentiation and aids in the clinical diagnosis of stroke severity and subtypes.
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Affiliation(s)
- Xin Luan
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China
| | - Guoge Li
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China
| | - Yaowei Ding
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China
| | - Jialu Sun
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China
| | - Xiaotong Li
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China
| | - Wencan Jiang
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China
| | - Yijun Shi
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China
| | - Min He
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai District, Beijing 100076, China
| | - Jinghan Guo
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai District, Beijing 100076, China
| | - Rong Fan
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai District, Beijing 100076, China
| | - Jiageng Zheng
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai District, Beijing 100076, China
| | - Yubin Li
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai District, Beijing 100076, China
| | - Xuejun Duan
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai District, Beijing 100076, China.
| | - Guojun Zhang
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing 100070, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing 100070, China.
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20
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Bian W, Wang L, Li J, Cui S, Wu W, Fan R, Niu J. Comparison of reduced field-of-view DWI and conventional DWI techniques for the assessment of lumbar bone marrow infiltration in patients with acute leukemia. Front Oncol 2024; 13:1321080. [PMID: 38260859 PMCID: PMC10800863 DOI: 10.3389/fonc.2023.1321080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 11/28/2023] [Indexed: 01/24/2024] Open
Abstract
Objectives To compare the imaging quality, apparent diffusion coefficient (ADC), and the value of assessing bone marrow infiltration between reduced field-of-view diffusion-weighted imaging (r-FOV DWI) and conventional DWI in the lumbar spine of acute leukemia (AL). Methods Patients with newly diagnosed AL were recruited and underwent both r-FOV DWI and conventional DWI in the lumbar spine. Two radiologists evaluated image quality scores using 5-Likert-type scales qualitatively and measured signal-to-noise ratio (SNR), contrast-to-noise (CNR), signal intensity ratio (SIR), and ADC quantitatively. Patients were divided into hypo- and normocellular group, moderately hypercellular group, and severely hypercellular group according to bone marrow cellularity (BMC) obtained from bone marrow biopsies. The image quality parameters and ADC value between the two sequences were compared. One-way analysis of variance followed by LSD post hoc test was used for the comparisons of the ADC values among the three groups. The performance of ADC obtained with r-FOV DWI (ADCr) and conventional DWI(ADCc) in evaluating BMC and their correlations with BMC and white blood cells (WBC) were analyzed and compared. Results 71 AL patients (hypo- and normocellular: n=20; moderately hypercellular: n=19; severely hypercellular: n=32) were evaluated. The image quality scores, CNR, SIR, and ADC value of r-FOV DWI were significantly higher than those of conventional DWI (all p<0.05), and the SNR of r-FOV DWI was significantly lower (p<0.001). ADCr showed statistical differences in all pairwise comparisons among the three groups (all p<0.05), while ADCc showed significant difference only between hypo- and normocellular group and severely hypercellular group (p=0.014). The performance of ADCr in evaluating BMC (Z=2.380, p=0.017) and its correlations with BMC (Z=-2.008, p = 0.045) and WBC (Z=-2.022, p = 0.043) were significantly higher than those of ADCc. Conclusion Compared with conventional DWI, r-FOV DWI provides superior image quality of the lumbar spine in AL patients, thus yielding better performance in assessing bone marrow infiltration.
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Affiliation(s)
- Wenjin Bian
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Luyao Wang
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jianting Li
- Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Sha Cui
- Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wenqi Wu
- Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Rong Fan
- Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jinliang Niu
- Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
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21
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Fan R, Yang Z, Wang R, Liu H, Feng C, Wu F, Fan M. Hemostasis after transradial coronary intervention by rotary compression device with sterile gauze is associated with more adverse events: a retrospective study. Coron Artery Dis 2024; 35:14-22. [PMID: 38085858 DOI: 10.1097/mca.0000000000001303] [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] [Indexed: 12/18/2023]
Abstract
OBJECTIVE We investigated the relationship between using a rotary compression device (RCD) with or without sterile gauze and adverse events in transradial access (TRA) for coronary intervention. METHODS In this study involving 933 patients at Yueyang Hospital, we recorded TRA-related adverse events, such as bleeding, forearm hematoma, swollen palms, radial artery occlusion (RAO) and others. Logistic regression was applied to assess the association. RESULTS Of the 933 patients (66.7% males, average age 67.8 years), 511 used RCD with sterile gauze, whereas 422 used RCD without sterile gauze. The most common adverse events were radial artery hemorrhage (7.4%), hand swelling (4.8%) and RAO (4.6%). Logistic regression analysis revealed that the use of RCD with sterile gauze was associated with a higher prevalence of adverse events [odds ratio (OR), 1.74; 95% confidence interval (CI), 1.22-2.49), even with the adjustment of potential confounders (OR, 1.71; 95% CI, 1.19-2.45). Moreover, patients who used RCD with sterile gauze exhibited an increased risk of radial artery hemorrhage (OR, 1.83; 95% CI, 1.07-3.12), swelling of the hand (OR, 1.96; 95% CI, 1.02-3.75) and RAO (OR, 3.17; 95% CI, 1.49-6.72). CONCLUSIONS The use of RCD with sterile gauze in TRA is associated with a higher incidence of adverse events.
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Affiliation(s)
- Rong Fan
- Department of Cardiology, Yueyang Hospital Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine
| | - Zixuan Yang
- Department of Cardiology, Yueyang Hospital Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine
| | - Ruiping Wang
- Clinical Research Center, Shanghai Skin Diseases Hospital, Tongji University, Shanghai, China
| | - Haoqi Liu
- Department of Cardiology, Yueyang Hospital Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine
| | - Can Feng
- Department of Cardiology, Yueyang Hospital Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine
| | - Feng Wu
- Department of Cardiology, Yueyang Hospital Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine
| | - Min Fan
- Department of Cardiology, Yueyang Hospital Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine
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22
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Zhou G, Xie D, Fan R, Yang Z, Du J, Mai S, Xie L, Wang Q, Mai T, Han Y, Lai F. Comparison of Pulmonary and Extrapulmonary Models of Sepsis-Associated Acute Lung Injury. Physiol Res 2023; 72:741-752. [PMID: 38215061 PMCID: PMC10805253] [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] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 09/09/2023] [Indexed: 01/14/2024] Open
Abstract
To compare different rat models of sepsis at different time points, based on pulmonary or extrapulmonary injury mechanisms, to identify a model which is more stable and reproducible to cause sepsis-associated acute lung injury (ALI). Adult male Sprague-Dawley rats were subjected to (1) cecal ligation and puncture (CLP) with single (CLP1 group) or two repeated through-and-through punctures (CLP2 group); (2) tail vein injection with lipopolysaccharide (LPS) of 10mg/kg (IV-LPS10 group) or 20 mg/kg (IV-LPS20 group); (3) intratracheal instillation with LPS of 10mg/kg (IT-LPS10 group) or 20mg/kg (IT-LPS20 group). Each of the model groups had a sham group. 7-day survival rates of each group were observed (n=15 for each group). Moreover, three time points were set for additional experimental studying in each model group: 4 hours, 24 hours and 48 hours after modeling (every time point, n=8 for each group). Rats were sacrificed to collect BALF and lung tissue samples at different time points for detection of IL-6, TNF-alpha, total protein concentration in BALF and MPO activity, HMGB1 protein expression in lung tissues, as well as the histopathological changes of lung tissues. More than 50 % of the rats died within 7 days in each model group, except for the IT-LPS10 group. In contrast, the mortality rates in the two IV-LPS groups as well as the IT-LPS20 group were significantly higher than that in IT-LPS10 group. Rats received LPS by intratracheal instillation exhibited evident histopathological changes and inflammatory exudation in the lung, but there was no evidence of lung injury in CLP and IV-LPS groups. Rat model of intratracheal instillation with LPS proved to be a more stable and reproducible animal model to cause sepsis-associated ALI than the extrapulmonary models of sepsis.
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Affiliation(s)
- G Zhou
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
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Qiao C, Sun G, Cao W, Shen F, Fan R, Wan Y. Green process for isolation and purification of poly(β-L-malic acid) from Aureobasidium spp. by an integrated ion exchange and membrane separation. Int J Biol Macromol 2023; 253:126505. [PMID: 37648124 DOI: 10.1016/j.ijbiomac.2023.126505] [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: 06/13/2023] [Revised: 07/18/2023] [Accepted: 08/22/2023] [Indexed: 09/01/2023]
Abstract
Poly (β-L-malic acid) (PMLA) is a biopolymer used in food and medical fields. However, the industrial processes are susceptible to the pollution of CaSO4 waste and organic solvent owing to the heavy use of CaCO3 in fermentation process and organic solvents in isolation process. This study developed an organic solvent and CaSO4 -free process for the industrial-scale production of PMLA. Firstly, calcium ion was removed at pH 9.2 by pH adjustment with Na2CO3, and the generated CaCO3 was reused in the fermentation process. Then, the D296 resin was selected to isolate the PMLA from the Ca2+-free broth, where the adsorption data were both primely described by the Freundlich and Langmuir equation, while Freundlich model better fit the process than Langmuir equation, indicating that it was non-monolayer adsorption of PMLA on the resin. Meanwhile, a three-step gradient elution with phosphate buffer (i.e., 0.2 mol/L, pH 7.0) containing 0.1, 0.2 and 1 mol/L NaCl was developed to recover PMLA. Finally, a PES15 membrane was selected to recover the PMLA from the elution solution, which could be reused in the next cycle. As a result, the PMLA with a purity of 98.89 % was obtained with the developed green process. In the developed process, it removed the pollution of organic solvent and calcium waste for the biosynthesis of PMLA on an industrial scale, which also offers a sustainable and green route for the biosynthesis of other carboxylic acids.
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Affiliation(s)
- Changsheng Qiao
- College of Bioengineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Guohang Sun
- College of Bioengineering, Tianjin University of Science and Technology, Tianjin 300457, PR China; State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Weifeng Cao
- College of Bioengineering, Tianjin University of Science and Technology, Tianjin 300457, PR China; State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
| | - Fei Shen
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China; School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rong Fan
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China; School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yinhua Wan
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China; School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.
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24
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Hao X, Fan R, Zeng HM, Hou JL. Hepatocellular Carcinoma Risk Scores from Modeling to Real Clinical Practice in Areas Highly Endemic for Hepatitis B Infection. J Clin Transl Hepatol 2023; 11:1508-1519. [PMID: 38161501 PMCID: PMC10752803 DOI: 10.14218/jcth.2023.00087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/04/2023] [Accepted: 06/02/2023] [Indexed: 01/03/2024] Open
Abstract
Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers and represents a global health challenge. Liver cancer ranks third in cancer-related mortality with 830,000 deaths and sixth in incidence with 906,000 new cases annually worldwide. HCC most commonly occurs in patients with underlying liver disease, especially chronic hepatitis B virus (HBV) infection in highly endemic areas. Predicting HCC risk based on scoring models for patients with chronic liver disease is a simple, effective strategy for identifying and stratifying patients to improve the early diagnosis rate and prognosis of HCC. We examined 23 HCC risk scores published worldwide in CHB patients with (n=10) or without (n=13) antiviral treatment. We also described the characteristics of the risk score's predictive performance and application status. In the future, higher predictive accuracy could be achieved by combining novel technologies and machine learning algorithms to develop and update HCC risk score models and integrated early warning and diagnosis systems for HCC in hospitals and communities.
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Affiliation(s)
- Xin Hao
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou, Guangdong, China
| | - Rong Fan
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou, Guangdong, China
| | - Hong-Mei Zeng
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jin-Lin Hou
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou, Guangdong, China
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25
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Liu J, Wang X, Guan Z, Wu M, Wang X, Fan R, Zhang F, Yan J, Liu Y, Zhang D, Yin P, Yan J. The LIKE SEX FOUR 1-malate dehydrogenase complex functions as a scaffold to recruit β-amylase to promote starch degradation. Plant Cell 2023; 36:194-212. [PMID: 37804098 PMCID: PMC10734626 DOI: 10.1093/plcell/koad259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 10/08/2023]
Abstract
In plant leaves, starch is composed of glucan polymers that accumulate in chloroplasts as the products of photosynthesis during the day; starch is mobilized at night to continuously provide sugars to sustain plant growth and development. Efficient starch degradation requires the involvement of several enzymes, including β-amylase and glucan phosphatase. However, how these enzymes cooperate remains largely unclear. Here, we show that the glucan phosphatase LIKE SEX FOUR 1 (LSF1) interacts with plastid NAD-dependent malate dehydrogenase (MDH) to recruit β-amylase (BAM1), thus reconstituting the BAM1-LSF1-MDH complex. The starch hydrolysis activity of BAM1 drastically increased in the presence of LSF1-MDH in vitro. We determined the structure of the BAM1-LSF1-MDH complex by a combination of cryo-electron microscopy, crosslinking mass spectrometry, and molecular docking. The starch-binding domain of the dual-specificity phosphatase and carbohydrate-binding module of LSF1 was docked in proximity to BAM1, thus facilitating BAM1 access to and hydrolysis of the polyglucans of starch, thus revealing the molecular mechanism by which the LSF1-MDH complex improves the starch degradation activity of BAM1. Moreover, LSF1 is phosphatase inactive, and the enzymatic activity of MDH was dispensable for starch degradation, suggesting nonenzymatic scaffold functions for LSF1-MDH in starch degradation. These findings provide important insights into the precise regulation of starch degradation.
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Affiliation(s)
- Jian Liu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuecui Wang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Zeyuan Guan
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Menglong Wu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Xinyue Wang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Rong Fan
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Fei Zhang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Junjun Yan
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Yanjun Liu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Delin Zhang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Ping Yin
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
| | - Junjie Yan
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
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Fan R, Satilmis H, Vandewalle N, Verheye E, De Bruyne E, Menu E, De Beule N, De Becker A, Ates G, Massie A, Kerre T, Törngren M, Eriksson H, Vanderkerken K, Breckpot K, Maes K, De Veirman K. Targeting S100A9 protein affects mTOR-ER stress signaling and increases venetoclax sensitivity in Acute Myeloid Leukemia. Blood Cancer J 2023; 13:188. [PMID: 38110349 PMCID: PMC10728073 DOI: 10.1038/s41408-023-00962-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: 08/08/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/20/2023] Open
Abstract
Acute Myeloid Leukemia (AML) is a heterogeneous disease with limited treatment options and a high demand for novel targeted therapies. Since myeloid-related protein S100A9 is abundantly expressed in AML, we aimed to unravel the therapeutic impact and underlying mechanisms of targeting both intracellular and extracellular S100A9 protein in AML cell lines and primary patient samples. S100A9 silencing in AML cell lines resulted in increased apoptosis and reduced AML cell viability and proliferation. These therapeutic effects were associated with a decrease in mTOR and endoplasmic reticulum stress signaling. Comparable results on AML cell proliferation and mTOR signaling could be observed using the clinically available S100A9 inhibitor tasquinimod. Interestingly, while siRNA-mediated targeting of S100A9 affected both extracellular acidification and mitochondrial metabolism, tasquinimod only affected the mitochondrial function of AML cells. Finally, we found that S100A9-targeting approaches could significantly increase venetoclax sensitivity in AML cells, which was associated with a downregulation of BCL-2 and c-MYC in the combination group compared to single agent therapy. This study identifies S100A9 as a novel molecular target to treat AML and supports the therapeutic evaluation of tasquinimod in venetoclax-based regimens for AML patients.
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Affiliation(s)
- Rong Fan
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Hatice Satilmis
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Niels Vandewalle
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Emma Verheye
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Laboratory of Myeloid Cell Immunology, VIB Center for Inflammation Research, Pleinlaan 2, 1050, Brussels, Belgium
| | - Elke De Bruyne
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Eline Menu
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Nathan De Beule
- Department of Clinical Hematology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium. Laarbeeklaan 101, 1090, Brussel, Belgium
| | - Ann De Becker
- Department of Clinical Hematology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium. Laarbeeklaan 101, 1090, Brussel, Belgium
| | - Gamze Ates
- Neuro-Aging & Viro-Immunotherapy, Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Ann Massie
- Neuro-Aging & Viro-Immunotherapy, Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Tessa Kerre
- Department of Hematology, Ghent University Hospital, Faculty of Medicine and Health Sciences, Ghent University, 9000, Ghent, Belgium
| | - Marie Törngren
- Active Biotech AB, Lund, Sweden. Scheelevägen 22, 22363, Lund, Sweden
| | - Helena Eriksson
- Active Biotech AB, Lund, Sweden. Scheelevägen 22, 22363, Lund, Sweden
| | - Karin Vanderkerken
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Karine Breckpot
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Laboratory for Molecular and Cellular Therapy, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Ken Maes
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Clinical Sciences, Research Group Reproduction and Genetics, Centre for Medical Genetics, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Kim De Veirman
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium.
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium.
- Department of Clinical Hematology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium. Laarbeeklaan 101, 1090, Brussel, Belgium.
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Zeng X, Nong WX, Zou XQ, Li F, Ge YY, Zhang QM, Luo B, Huang W, Zou JX, Fan R, Xie XX. Prediction and identification of HLA-A*0201-restricted epitopes from cancer testis antigen CT23. Hum Vaccin Immunother 2023; 19:2293299. [PMID: 38100550 PMCID: PMC10730135 DOI: 10.1080/21645515.2023.2293299] [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: 09/03/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023] Open
Abstract
Cancer-testis antigen CT23 is a class of tumor-associated antigens (TAA) characterized by restricted expression in male germ cells and a variety of tumor tissues. Numerous studies have shown that CT23 is closely related to tumor cell viability, proliferation, metastasis and invasion. CT23 is immunogenic and can cause specific immune response in tumor patients. Therefore, it is considered to be one of the best target antigens for designing therapeutic tumor vaccines and T-cell-mediated tumor immunotherapy. In this study, we initially obtained seven HLA-A*0201-restricted CT23 epitope candidate peptides through the T cell epitope prediction program. Subsequently, a T2 cell binding assay revealed the potential binding of all candidate peptides with HLA-A2 molecules. Notably, peptide P7 (ALLVLCYSI) exhibited the highest affinity, as evidenced by a fluorescence index (FI) of 2.19. Dendritic cells (DCs) loaded with CT23 candidate peptide can stimulate CD8+T cell activation and proliferation, and compared with other candidate peptides, candidate peptide P7 is superior. The cytotoxic T lymphocytes (CTLs) stimulated by the peptide P7 had killing effect on tumor cells (HLA-A*0201+, CT23+), but no killing effect on tumor cells (HLA-A*0201-, CT23+). The CTLs induced by the peptide P7 also had a specific killing effect on T2 cells bearing the peptide P7. In summary, our findings suggest that the CT23 peptide P7 (ALLVLCYSI) can induce immune responses and holds potential for tumor-specific CTL therapy.
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Affiliation(s)
- Xia Zeng
- Department of Immunology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Wei-Xia Nong
- Department of Histology and Embryology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Xiao-Qiong Zou
- Department of Histology and Embryology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Feng Li
- Department of Histology and Embryology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Ying-Ying Ge
- Department of Histology and Embryology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Qing-Mei Zhang
- Department of Histology and Embryology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
- Education Department of Guangxi Zhuang Autonomous Region, Key Laboratory of Basic Research on Regional Diseases (Guangxi Medical University), Nanning, P. R. China
| | - Bin Luo
- Department of Histology and Embryology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
- Education Department of Guangxi Zhuang Autonomous Region, Key Laboratory of Basic Research on Regional Diseases (Guangxi Medical University), Nanning, P. R. China
| | - Wei Huang
- Department of Gynecology, First Affiliated Hospital, Guangxi University of Traditional Chinese Medicine, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Jian-Xia Zou
- Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Rong Fan
- Department of Histology and Embryology, School of Pre-Clinical Medicine, Guangxi University of Traditional Chinese Medicine, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Xiao-Xun Xie
- Department of Histology and Embryology, School of Basic Medicine Science, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
- Education Department of Guangxi Zhuang Autonomous Region, Key Laboratory of Basic Research on Regional Diseases (Guangxi Medical University), Nanning, P. R. China
- Ministry of Education, Key Laboratory of Early Prevention and Treatment of Regional High Frequency Tumor (Guangxi Medical University), Nanning, P. R. China
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Cao X, Ma T, Fan R, Yuan GC. Broad H3K4me3 Domain Is Associated with Spatial Coherence during Mammalian Embryonic Development. bioRxiv 2023:2023.12.11.570452. [PMID: 38168252 PMCID: PMC10760050 DOI: 10.1101/2023.12.11.570452] [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] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
It is well known that the chromatin states play a major role in cell-fate decision and cell-identity maintenance; however, the spatial variation of chromatin states in situ remains poorly characterized. Here, by leveraging recently available spatial-CUT&Tag data, we systematically characterized the global spatial organization of the H3K4me3 profiles in a mouse embryo. Our analysis identified a subset of genes with spatially coherent H3K4me3 patterns, which together delineate the tissue boundaries. The spatially coherent genes are strongly enriched with tissue-specific transcriptional regulators. Remarkably, their corresponding genomic loci are marked by broad H3K4me3 domains, which is distinct from the typical H3K4me3 signature. Spatial transition across tissue boundaries is associated with continuous shortening of the broad H3K4me3 domains as well as expansion of H3K27me3 domains. Our analysis reveals a strong connection between the genomic and spatial variation of chromatin states, which may play an important role in embryonic development.
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Affiliation(s)
- Xuan Cao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
| | - Terry Ma
- Department of Statistics, Harvard University, Cambridge, MA, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Havens, CT, USA
| | - Guo-Cheng Yuan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
- Lead contact
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Zhou Y, Wu YM, Fan R, Ouyang J, Zhou XL, Li ZB, Janjua MU, Li HG, Bao MH, He BS. Transcriptome analysis unveils the mechanisms of lipid metabolism response to grayanotoxin I stress in Spodoptera litura. PeerJ 2023; 11:e16238. [PMID: 38077416 PMCID: PMC10710133 DOI: 10.7717/peerj.16238] [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: 05/01/2023] [Accepted: 09/14/2023] [Indexed: 12/18/2023] Open
Abstract
Background Spodoptera litura (tobacco caterpillar, S. litura) is a pest of great economic importance due to being a polyphagous and world-distributed agricultural pest. However, agricultural practices involving chemical pesticides have caused resistance, resurgence, and residue problems, highlighting the need for new, environmentally friendly methods to control the spread of S. litura. Aim This study aimed to investigate the gut poisoning of grayanotoxin I, an active compound found in Pieris japonica, on S. litura, and to explore the underlying mechanisms of these effects. Methods S. litura was cultivated in a laboratory setting, and their survival rate, growth and development, and pupation time were recorded after grayanotoxin I treatment. RNA-Seq was utilized to screen for differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to determine the functions of these DEGs. ELISA was employed to analyze the levels of lipase, 3-hydroxyacyl-CoA dehydrogenase (HOAD), and acetyl-CoA carboxylase (ACC). Hematoxylin and Eosin (H & E) staining was used to detect the development of the fat body. Results Grayanotoxin I treatment significantly suppressed the survival rate, growth and development, and pupation of S. litura. RNA-Seq analysis revealed 285 DEGs after grayanotoxin I exposure, with over 16 genes related to lipid metabolism. These 285 DEGs were enriched in the categories of cuticle development, larvae longevity, fat digestion and absorption. Grayanotoxin I treatment also inhibited the levels of FFA, lipase, and HOAD in the hemolymph of S. litura. Conclusion The results of this study demonstrated that grayanotoxin I inhibited the growth and development of S. litura. The mechanisms might, at least partly, be related to the interference of lipid synthesis, lipolysis, and fat body development. These findings provide valuable insights into a new, environmentally-friendly plant-derived insecticide, grayanotoxin I, to control the spread of S. litura.
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Affiliation(s)
- Yi Zhou
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
| | - Yong-mei Wu
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
| | - Rong Fan
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
| | - Jiang Ouyang
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
| | - Xiao-long Zhou
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
| | - Zi-bo Li
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
| | - Muhammad Usman Janjua
- Changsha Medical University, School of International Education, Changsha, Hunan, China
| | - Hai-gang Li
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
- Changsha Medical University, Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha, Hunan, China
| | - Mei-hua Bao
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
- Changsha Medical University, Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha, Hunan, China
| | - Bin-sheng He
- Changsha Medical University, The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha, Hunan, China
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Yuan C, Fan R, Zhu K, Wang Y, Xie W, Liang Y. Curcumin induces ferroptosis and apoptosis in osteosarcoma cells by regulating Nrf2/GPX4 signaling pathway. Exp Biol Med (Maywood) 2023; 248:2183-2197. [PMID: 38166505 PMCID: PMC10903231 DOI: 10.1177/15353702231220670] [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: 04/18/2023] [Accepted: 09/26/2023] [Indexed: 01/04/2024] Open
Abstract
Curcumin, an antitumor agent, has been shown to inhibit cell growth and metastasis in osteosarcoma. However, there is no evidence of curcumin and its regulation of cell ferroptosis and nuclear factor E2-related factor 2 (Nrf2)/glutathione peroxidase 4 (GPX4) signaling pathways in osteosarcoma. This study aimed to investigate the effects of curcumin on osteosarcoma both in vitro and in vivo. To explore the effects and mechanisms of curcumin on osteosarcoma, cells (MNNG/HOS and MG-63) and xenograft mice models were established. Cell viability, cell apoptosis rate, cycle distribution, cell migration, cell invasion, reactive oxygen species, malonaldehyde and glutathione abilities, and protein levels were detected by cell counting kit-8, flow cytometry, wound healing, transwell assay, respectively. Nrf2 and GPX4 expressions were detected using an immunofluorescence assay. Nrf2/GPX4-related protein levels were detected using western blotting. The results showed that curcumin effectively decreased cell viability and increased apoptosis rate. Meanwhile, curcumin inhibited tumor volume in the xenograft model, and Nrf2/GPX4-related protein levels were also altered. Interestingly, the effects of curcumin were reversed by liproxstatin-1 (an effective inhibitor of ferroptosis) and bardoxolone-methyl (an effective activator of Nrf2). Our results indicate that curcumin has therapeutic effects on osteosarcoma cells and a xenograft model by regulating the expression of the Nrf2/GPX4 signaling pathway.
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Affiliation(s)
- Chuanjian Yuan
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Rong Fan
- Yantai Raphael Biotechnology Co., Ltd, Yantai 264000, China
| | - Kai Zhu
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
- Department of Orthopedics, Gaoqing Traditional Chinese Medicine Hospital Co., Ltd, Zibo 256300, China
| | - Yutong Wang
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Wenpeng Xie
- Department of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Yanchen Liang
- Department of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
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Liao X, Fan Y, Zhong C, Zhao S, Guo L, Tan W, Yin J, Fan R. Effects of entecavir and tenofovir disoproxil fumarate on the incidence and severity of COVID-19 in patients with chronic hepatitis B. BMC Infect Dis 2023; 23:843. [PMID: 38036959 PMCID: PMC10688146 DOI: 10.1186/s12879-023-08838-0] [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: 06/15/2023] [Accepted: 11/22/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Whether different anti-hepatitis B virus (HBV) drugs have different effects on COVID-19 is controversial. We aimed to evaluate the incidence of COVID-19 in chronic hepatitis B (CHB) patients receiving anti-HBV treatment, and to compare the impact of entecavir (ETV) and tenofovir disoproxil fumarate (TDF) on the severity of COVID-19. METHODS CHB outpatients were enrolled from December 2022 to February 2023. Questionnaires were used to collect whether subjects were currently or previously had COVID-19 within the past 2 months, and the information of symptoms, duration, and severity if infected. RESULTS Six hundred thirty CHB patients were enrolled, 64.3% (405/630) patients were currently or previously had COVID-19. No COVID-19 patient required hospitalization, intensive care unit admission, oxygen support or died. Majority of patients reported mild (32.8% [133/405]) and moderate (48.1% [195/405]) symptoms. After propensity score matching, 400 matched patients were obtained (ETV: 238; TDF: 162), among which the incidences of COVID-19 were comparable between ETV and TDF-treated patients (60.1% [143/238] vs. 64.2% [104/162], p = 0.468). The proportion of patients complicated with any symptom caused by COVID-19 were also similar (ETV vs. TDF: 90.9% [130/143] vs. 91.3% [95/104], p = 1.000). In addition, the severity of overall symptom was comparable between ETV and TDF-treated patients, in terms of proportion of patients complicated with severe symptom (9.8% vs. 8.7%, p = 0.989), symptom duration (4.3 vs. 4.3 days, p = 0.927), and symptom severity score (4.1 vs. 4.0, p = 0.758). Subgroup analysis supported these results. CONCLUSIONS During the current pandemic, the vast majority of CHB patients experienced non-severe COVID-19, and ETV and TDF did not affect COVID-19 severity differently.
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Affiliation(s)
- Xingmei Liao
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yujie Fan
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chunxiu Zhong
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Siru Zhao
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Liangxu Guo
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wenjuan Tan
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Junhua Yin
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Rong Fan
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China.
- Guangdong Provincial Clinical Research Center for Viral Hepatitis, Nanfang Hospital, Southern Medical University, Guangzhou, China.
- Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Nanfang Hospital, Southern Medical University, Guangzhou, China.
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Zhuang QB, Tian JR, Lu K, Zhang XM, Zhang FM, Tu YQ, Fan R, Li ZH, Zhang YD. Catalytic Asymmetric Polycyclization of Tertiary Enamides with Silyl Enol Ethers: Total Synthesis of (-)-Cephalocyclidin A. J Am Chem Soc 2023. [PMID: 38019148 DOI: 10.1021/jacs.3c11178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
A catalytic enantioselective polycyclization of tertiary enamides with terminal silyl enol ethers has been developed by virtue of Cu(OTf)2 catalysis with a novel spiropyrroline-derived oxazole (SPDO) ligand. This tandem reaction offers an effective approach to assemble bicyclic and tricyclic N-heterocycles bearing both aza- and oxa-quaternary stereogenic centers, which are primal subunits in a range of natural alkaloids. Strategic application of this methodology and a late-stage radical cyclization as key steps have been showcased in the concise total synthesis of (-)-cephalocyclidin A.
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Affiliation(s)
- Qing-Bo Zhuang
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Jin-Rui Tian
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Ka Lu
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Xiao-Ming Zhang
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Fu-Min Zhang
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Yong-Qiang Tu
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
- School of Chemistry and Chemical Engineering, Frontier Scientific Center of Transformative Molecules, Shanghai Key Laboratory of Chiral Drugs and Engineering, Shanghai Jiao Tong University, Shanghai Minhang 200240, China
| | - Rong Fan
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Zhi-Hao Li
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Yu-Dong Zhang
- State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
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Yang H, Gu X, Fan R, Zhu Q, Zhong S, Wan X, Chen Q, Zhu L, Feng F. Deciphering tumor immune microenvironment differences between high-grade serous and endometrioid ovarian cancer to investigate their potential in indicating immunotherapy response. J Ovarian Res 2023; 16:223. [PMID: 37993916 PMCID: PMC10664484 DOI: 10.1186/s13048-023-01284-1] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/17/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Ovarian cancer is a significant public health concern with a poor prognosis for epithelial ovarian cancer. To explore the potential of immunotherapy in treating epithelial ovarian cancer, we investigated the immune microenvironments of 52 patients with epithelial ovarian cancer, including 43 with high-grade serous ovarian cancer and 9 with endometrioid ovarian cancer. RESULTS Fresh tumor tissue was analyzed for genetic mutations and various parameters related to immune evasion and infiltration. The mean stromal score (stromal cell infiltration) in high-grade serous ovarian cancer was higher than in endometrioid ovarian cancer. The infiltration of CD8 T cells and exhausted CD8 T cells were found to be more extensive in high-grade serous ovarian cancer. Tumor Immune Dysfunction and Exclusion scores, T cell exclusion scores, and cancer-associated fibroblasts (CAF) scores were also higher in the high-grade serous ovarian cancer group, suggesting that the number of cytotoxic lymphocytes in the tumor microenvironment of high-grade serous ovarian cancer is likely lower compared to endometrioid ovarian cancer. CONCLUSIONS The high mean stromal score and more extensive infiltration and exhaustion of CD8 T cells in high-grade serous ovarian cancer indicate that high-grade serous ovarian cancer exhibits a higher level of cytotoxic T cell infiltration, yet these T cells tend to be in a dysfunctional state. Higher Tumor Immune Dysfunction and Exclusion scores, T cell exclusion scores, and CAF scores in high-grade serous ovarian cancers suggest that immune escape is more likely to occur in high-grade serous ovarian cancer, thus endometrioid ovarian cancer may be more conducive to immunotherapy. Therefore, it is crucial to design immunotherapy clinical trials for ovarian cancer to distinguish between high-grade serous and endometrioid ovarian cancer from the outset. This distinction will help optimize treatment strategies and improve outcomes for patients with different subtypes.
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Affiliation(s)
- Hua Yang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China
| | - Xiangyu Gu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China
- 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Rong Fan
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China
| | - Qun Zhu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China
- Department of Obstetrics and Gynecology, Beijing Puren Hospital, Beijing, China
| | - Sen Zhong
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China
| | - Xirun Wan
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China
| | | | - Lan Zhu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China.
| | - Fengzhi Feng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuai Fu Yuan, Wang Fu Jing Street, Beijing, China.
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Dong SY, Deng SY, Fan R, Chen JZ, Cheng X, Hao X, Dai WC. [Predictive value of aMAP risk score for early recurrence of small hepatocellular carcinoma after microwave ablation]. Zhonghua Nei Ke Za Zhi 2023; 62:1329-1334. [PMID: 37935500 DOI: 10.3760/cma.j.cn112138-20221108-00835] [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: 11/09/2023]
Abstract
Objective: To explore the value of the aMAP risk score (age, male, albumin-bilirubin, and platelets) to predict early recurrence within one year after microwave ablation in patients with small hepatocellular carcinoma. Methods: This was a retrospective study that enrolled 142 patients diagnosed with hepatocellular carcinoma who were treated with microwave ablation in the Department of Hepatology Unit of Nanfang Hospital, Southern Medical University from July 2016 to July 2021. The cohort enrolled 121 male and 21 female patients, including 110 patients that were <60 years old. All the patients were followed-up after microwave ablation to evaluate residual tumor and recurrence of tumor by computed tomography or magnetic resonance imaging. The observation indices mainly included general data and imaging data of patients. Using the X-tile tools, patients were divided into two groups: a high aMAP score group and a low aMAP score group. Multivariate Cox regression analysis was conducted for comparison of independent risk factors. Results: Multivariate Cox regression showed that high aMAP score, maximum tumor diameter >20 mm, and high AFP were the independent risk factors of early recurrence (all P<0.05). Kaplan-Meier survival curves showed that the median recurrence-free survival was 25.5 months in the low aMAP score group and 6.1 months in the high aMAP score group (P=0.001). Conclusions: The aMAP score could predict the early recurrence within 1 year of small hepatocellular carcinoma after microwave ablation. Patients with high aMAP score should undergo rigorous postoperative follow-up evaluations..
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Affiliation(s)
- S Y Dong
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China First Clinical Medical College, Southern Medical University, Guangzhou, Guangzhou, 510515, China
| | - S Y Deng
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - R Fan
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - J Z Chen
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - X Cheng
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - X Hao
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
| | - W C Dai
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Institute of Liver Diseases, Guangzhou 510515, China
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Fan R, Li G, Yu N, Chang X, Arshad T, Liu WY, Chen Y, Wong GLH, Jiang Y, Liang X, Chen Y, Jin XZ, Dong Z, Leung HHW, Wang XD, Zeng Z, Yip TCF, Xie Q, Tan D, You S, Ji D, Zhao J, Sanyal AJ, Sun J, Zheng MH, Wong VWS, Yang Y, Hou J. aMAP Score and Its Combination With Liver Stiffness Measurement Accurately Assess Liver Fibrosis in Chronic Hepatitis B Patients. Clin Gastroenterol Hepatol 2023; 21:3070-3079.e13. [PMID: 36933605 DOI: 10.1016/j.cgh.2023.03.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/07/2023] [Accepted: 03/07/2023] [Indexed: 03/20/2023]
Abstract
BACKGROUND & AIMS The changes in liver stiffness measurement (LSM) are unreliable to estimate regression of fibrosis during antiviral treatment for chronic hepatitis B (CHB) patients. The age-male-albumin-bilirubin-platelets score (aMAP), as an accurate hepatocellular carcinoma risk score, may reflect the liver fibrosis stage. Here, we aimed to evaluate the performance of aMAP for diagnosing liver fibrosis in CHB patients with or without treatment. METHODS A total of 2053 patients from 2 real-world cohorts and 2 multicentric randomized controlled trials in China were enrolled, among which 2053 CHB patients were included in the cross-sectional analysis, and 889 CHB patients with paired liver biopsies before and after 72 or 104 weeks of treatment were included in the longitudinal analysis. RESULTS In the cross-sectional analysis, the areas under the receiver operating characteristic curve of aMAP in diagnosing cirrhosis and advanced fibrosis were 0.788 and 0.757, which were comparable with or significantly higher than those of the fibrosis index based on 4 factors and the aspartate aminotransferase-platelet ratio. The stepwise approach using aMAP and LSM further improved performance in detecting cirrhosis and advanced fibrosis with the smallest uncertainty area (29.7% and 46.2%, respectively) and high accuracy (82.3% and 79.8%, respectively). In the longitudinal analysis, we established a novel model (aMAP-LSM model) by calculating aMAP and LSM results before and after treatment, which had satisfactory performance in diagnosing cirrhosis and advanced fibrosis after treatment (area under the receiver operating characteristic curve, 0.839 and 0.840, respectively), especially for those with a significant decrease in LSM after treatment (vs LSM alone, 0.828 vs 0.748; P < .001 [cirrhosis]; 0.825 vs 0.750; P < .001 [advanced fibrosis]). CONCLUSIONS The aMAP score is a promising noninvasive tool for diagnosing fibrosis in CHB patients. The aMAP-LSM model could accurately estimate fibrosis stage for treated CHB patients.
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Affiliation(s)
- Rong Fan
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Guanlin Li
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Ning Yu
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiujuan Chang
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Tamoore Arshad
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Wen-Yue Liu
- Department of Endocrinology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yan Chen
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Grace Lai-Hung Wong
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Yiyue Jiang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xieer Liang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yongpeng Chen
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiao-Zhi Jin
- Nonalcoholic Fatty Liver Disease Research Center, Department of Hepatology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zheng Dong
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Howard Ho-Wai Leung
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Xiao-Dong Wang
- Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Zhen Zeng
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Terry Cheuk-Fung Yip
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Qing Xie
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Deming Tan
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Shaoli You
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Dong Ji
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jun Zhao
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Arun J Sanyal
- Division of Gastroenterology, Virginia Commonwealth University, Richmond, Virginia
| | - Jian Sun
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ming-Hua Zheng
- Nonalcoholic Fatty Liver Disease Research Center, Department of Hepatology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China; Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
| | - Yongping Yang
- Senior Department of Hepatology, Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
| | - Jinlin Hou
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
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Guo Y, Zhou JX, Guo XG, Song WY, Zhao CF, Zhang ZW, Fan R, Chen T, Lv Y, Yin PW, Jin DC. Species diversity and related ecology of chiggers on small mammals in a unique geographical area of Yunnan Province, southwest China. Exp Appl Acarol 2023; 91:439-461. [PMID: 37870736 DOI: 10.1007/s10493-023-00841-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] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 09/16/2023] [Indexed: 10/24/2023]
Abstract
Chiggers are common ectoparasites and the exclusive vector of scrub typhus. Based on previous investigations from a unique geographical area in Yunnan Province of southwest China, the Three Parallel Rivers Area, we retrospectively studied the species diversity and related ecology of chiggers on rodents and other small mammals. A very high species diversity of 120 chigger species was identified. Five dominant chigger species accounted for 59.4% (5238/8965) of total chiggers, and among them Leptotrombidium scutellare is the second major vector of scrub typhus in China. Species diversity of the chigger community fluctuates greatly in different altitudinal and latitudinal gradients. There are significant differences in species composition, species diversity and dominant species of chiggers among hosts with apparent community heterogeneity. Based on the species abundance distribution, the expected total number of chigger species was estimated to be 170, 50 more than the number of actually collected species; this further indicates a very high chigger species diversity in this area. The bipartite ecological network analysis revealed the intricate relationships between chigger and host species-positive and negative correlations existed among some species of dominant and vector chiggers.
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Affiliation(s)
- Yu Guo
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Juan-Xiu Zhou
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Xian-Guo Guo
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China.
| | - Wen-Yu Song
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Cheng-Fu Zhao
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Zhi-Wei Zhang
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Rong Fan
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Ting Chen
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Yan Lv
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Peng-Wu Yin
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
- Institute of Entomology, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Dao-Chao Jin
- Institute of Entomology, Guizhou University, Guiyang, 550025, Guizhou, China
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Fan R, Liu W, Jiang S, Huang Y, Ji W. Recovering from trampling: The role of dauciform roots to functional traits response of Carex filispica in alpine meadow. Ecol Evol 2023; 13:e10709. [PMID: 37928191 PMCID: PMC10623233 DOI: 10.1002/ece3.10709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 08/28/2023] [Accepted: 10/23/2023] [Indexed: 11/07/2023] Open
Abstract
In the natural habitats of China, dauciform roots were only described in degraded alpine meadows. It was found that the presence of dauciform roots of Carex filispica was related to the advantage of multiple functional traits after trampling, reflecting short-term resistance. However, the long-term response of dauciform roots to trampling and the recovery of C. filispica with and without dauciform roots to trampling require further studies. In this study, different intensities of trampling (0, 50, 200 and 500 passages) were performed in an alpine meadow. One year later, individuals with and without dauciform roots were separated and their functional traits related to the economic spectrum of leaves and roots were measured as a reflection of recovery from trampling. The results showed that: (1) 1 year after trampling, the number of dauciform roots showed an increase with trampling intensity; (2) 1 year later, there was no significant difference in the response of economic spectrum traits among trampling intensities, or between plants with and without dauciform roots; (3) the number of dauciform roots was positively correlated with the leaf area of both individuals with and without dauciform roots, as well as with the biomass of those without dauciform roots; and (4) plants with more resource-conservative roots showed an advantage after trampling recovery: specifically, plants with dauciform roots showed such an advantage in the control group, which was lost with a leaning towards resource-acquisitive roots and an increased density of dauciform roots once trampled. In contrast, plants without dauciform roots showed a significant advantage of conservative roots only after trampling. In conclusion, the presence of dauciform roots is related to the plants' position on the root economic spectrum, thereby influencing the recovery of C. filispica from trampling. Carex filispica showed strong recovery from trampling after 1 year, which makes it an adequate choice for ecological restoration in alpine meadows. Dauciform roots showed a positive correlation with the aboveground growth of both plants with and without them, however, it requires a lab-controlled study to confirm whether there is indeed a positive effect on the growth of neighbouring plants.
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Affiliation(s)
- Rong Fan
- College of Landscape Architecture and ArtsNorthwest A&F UniversityYanglingChina
| | - Wanting Liu
- College of Landscape Architecture and ArtsNorthwest A&F UniversityYanglingChina
| | - Songlin Jiang
- College of Landscape Architecture and ArtsNorthwest A&F UniversityYanglingChina
| | - Yulin Huang
- College of Landscape Architecture and ArtsNorthwest A&F UniversityYanglingChina
| | - Wenli Ji
- College of Landscape Architecture and ArtsNorthwest A&F UniversityYanglingChina
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VanOudenhove J, Liu Y, Nelakanti R, Kim D, Busarello E, Ovalle NT, Qi Z, Mamillapalli P, Siddon A, Bai Z, Axtmayer A, Corso C, Kothari S, Foss F, Isufi I, Tebaldi T, Gowda L, Fan R, Seropian S, Halene S. Impact of Memory T Cells on SARS-COV-2 Vaccine Response in Hematopoietic Stem Cell Transplant. bioRxiv 2023:2023.10.26.564259. [PMID: 37961434 PMCID: PMC10634862 DOI: 10.1101/2023.10.26.564259] [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: 11/15/2023]
Abstract
During the COVID-19 pandemic, hematopoietic stem cell transplant (HSCT) recipients faced an elevated mortality rate from SARS-CoV-2 infection, ranging between 10-40%. The SARS-CoV-2 mRNA vaccines are important tools in preventing severe disease, yet their efficacy in the post-transplant setting remains unclear, especially in patients subjected to myeloablative chemotherapy and immunosuppression. We evaluated the humoral and adaptive immune responses to the SARS-CoV-2 mRNA vaccination series in 42 HSCT recipients and 5 healthy controls. Peripheral blood mononuclear nuclear cells and serum were prospectively collected before and after each dose of the SARS-CoV-2 vaccine. Post-vaccination responses were assessed by measuring anti-spike IgG and nucleocapsid titers, and antigen specific T cell activity, before and after vaccination. In order to examine mechanisms behind a lack of response, pre-and post-vaccine samples were selected based on humoral and cellular responses for single-cell RNA sequencing with TCR and BCR sequencing. Our observations revealed that while all participants eventually mounted a humoral response, transplant recipients had defects in memory T cell populations that were associated with an absence of T cell response, some of which could be detected pre-vaccination.
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39
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Fan R, Liang Z, Wang Q, Chen S, Huang S, Liu J, Huang R, Chen J, Zhao F, Huang W. Beneficial action of cinnamic acid against ovarian cancer via network pharmacology analysis and the pharmacological activity assessment. Naunyn Schmiedebergs Arch Pharmacol 2023:10.1007/s00210-023-02766-1. [PMID: 37870582 DOI: 10.1007/s00210-023-02766-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/02/2023] [Indexed: 10/24/2023]
Abstract
Naturally occurring cinnamic acid (CA) shows the beneficial potential in the suppression of ovarian cancer (OC). Currently, the in-depth molecular mechanisms of CA to suppress OC are still undescribed entirely. Thus, our research used the preclinical methodology through network pharmacology approach and pharmacological evaluation in vitro to unshroud the anti-OC targets and mechanisms of CA. Our data primarily identified 202 CA targets and 495 OC targets, and additional 45 shared targets in CA and OC were screened as presented in interaction network map. All 11 core targets in CA against OC were identified completely. The enrichment analysis of core targets revealed the biological functions and molecular mechanisms of CA against OC in details, including metabolic recombination and immune microenvironment regulation. Additionally, pharmacological evaluation data in vitro suggested that CA inhibited human OC cell proliferation in the time- and dose-dependent manners. In conclusion, CA can exert antineoplastic effects against OC effectively, and the pharmacological functions may directly actualize through a multi-target and multi-pathway avenue for suppressing OC.
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Affiliation(s)
- Rong Fan
- School of Basic Medical Sciences, Guangxi Traditional Chinese Medical University, No. 179 Mingxiu East Road, Nanning, 530001, China
| | - Zining Liang
- School of Pharmacy, Guangxi Traditional Chinese Medical University, Nanning, 530001, China
| | - Qing Wang
- School of Basic Medical Sciences, Guangxi Traditional Chinese Medical University, No. 179 Mingxiu East Road, Nanning, 530001, China
- Guangxi Key Laboratory of Translational Medicine for Treating High-Incidence Infectious Diseases With Integrative Medicine, Guangxi Traditional Chinese Medical University, Nanning, 530001, China
| | - Sizhe Chen
- First Clinical Medical College, Guangxi Traditional Chinese Medical University, No. 89-9 Dongge Road, Nanning, 530023, China
| | - Shiting Huang
- First Clinical Medical College, Guangxi Traditional Chinese Medical University, No. 89-9 Dongge Road, Nanning, 530023, China
| | - Jiansu Liu
- First Clinical Medical College, Guangxi Traditional Chinese Medical University, No. 89-9 Dongge Road, Nanning, 530023, China
| | - Rui Huang
- First Clinical Medical College, Guangxi Traditional Chinese Medical University, No. 89-9 Dongge Road, Nanning, 530023, China
| | - Jie Chen
- First Clinical Medical College, Guangxi Traditional Chinese Medical University, No. 89-9 Dongge Road, Nanning, 530023, China
| | - Feilan Zhao
- School of Basic Medical Sciences, Guangxi Traditional Chinese Medical University, No. 179 Mingxiu East Road, Nanning, 530001, China.
| | - Wei Huang
- First Clinical Medical College, Guangxi Traditional Chinese Medical University, No. 89-9 Dongge Road, Nanning, 530023, China.
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40
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Fan R, Huang Y, Liu W, Jiang S, Ji W. Dauciform roots affect the position of the neighboring plants on the economic spectrum in degraded alpine meadows. Front Plant Sci 2023; 14:1277013. [PMID: 37936938 PMCID: PMC10627033 DOI: 10.3389/fpls.2023.1277013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 10/11/2023] [Indexed: 11/09/2023]
Abstract
Background and aims Special root structures that can dissolve insoluble phosphorus locked in soil are supposed to contribute not only to the growing status of themselves but also to the neighbouring plants. However, whether dauciform roots have any effect on the neighbouring plants and how does it respond to meadow degradation had not been studied. Methods Alpine meadows with different degradation statuses were selected and the functional traits of Carex filispica and the co-occurring species Polygonum viviparum were measured to explore their response to degradation, as well as the response of Polygonum viviparum to the dauciform roots of Carex filispica. Results The results showed that 1) the number of dauciform roots decreased with the intensifying degradation, positively related to available phosphorus in the soil and negatively related to the aboveground phosphorus of Carex filispica. 2) Carex filispica and Polygonum viviparum are similar in specific leaf area and specific root area, yet different in the phosphorus content. The available phosphorus in the soil was negatively related to the aboveground phosphorus of Carex filispica and positively related to that of Polygonum viviparum. 3) When lightly degraded, the proportion of dauciform roots had positive effects on the aboveground resource-acquiring traits of Polygonum viviparum, which were no longer significant at heavy degradation. 4) Polygonum viviparum and Carex filispica without dauciform roots have similar performance: a decrease of belowground carbon with the increasing degradation, and a trend toward resource conservation with the increasing proportion of dauciform roots, which did not exist in Carex filispica with dauciform roots. Conclusion Our study found that dauciform roots had a beneficial effect on the resource acquisition of their neighbouring plants. However, due to the uncontrollable nature of natural habitats, whether this effect is stable and strong enough to be performed in ecological restoration requires further lab-controlled studies.
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Affiliation(s)
| | | | | | | | - Wenli Ji
- College of Landscape Architecture and Arts, Northwest A&F University, Yangling, Shaanxi, China
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41
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Wang R, Lei Y, Zhu T, Fan R, Jiang Z, Sheng J. Fast Recovery Double-Network Hydrogels Based on Particulate Macro-RAFT Agents. ACS Omega 2023; 8:35619-35627. [PMID: 37810646 PMCID: PMC10551918 DOI: 10.1021/acsomega.3c01813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/08/2023] [Indexed: 10/10/2023]
Abstract
Synthetic hydrogels struggle to match the high strength, toughness, and recoverability of biological tissues under periodic mechanical loading. Although the hydrophobic polymer chain of polystyrene (PS) may initially collapse into a nanosphere upon contact with water, it has the ability to be elongated when it is subjected to an external force. To address this challenge, we employ the reversible addition-fragmentation chain transfer (RAFT) method to design a carboxyl-substituted polystyrene (CPS) which can form a covalently cross-linked network with four-armed amino-terminated polyethylene glycol (4-armed-PEG-NH2), and a ductile polyacrylamide network is introduced in order to prepare a double-network (DN) hydrogel. Our results demonstrate that the DN hydrogel exhibits exceptional mechanical properties (0.62 kJ m-2 fracture energy, 2510.89 kJ m-3 toughness, 0.43 MPa strength, and 820% elongation) when a sufficient external force is applied to fracture it. Moreover, when the DN hydrogel is subjected to a 200% strain, it displays superior recoverability (94.5%). This holds a significant potential in enhancing the mechanical performance of synthetic hydrogels and can have wide-ranging applications in fields such as tissue engineering for hydrophobic polymers.
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Affiliation(s)
- Runda Wang
- Key
Laboratory of Micro-nano Electric Sensing Technology and Bionic Devices,
Department of Network Security and Information Technology, Yili Normal University, Yining 835000, P. R. China
- Department
of Electronics and Engineering, Yili Normal
University, Yining 835000, P. R. China
| | - Yiteng Lei
- Department
of Electronics and Engineering, Yili Normal
University, Yining 835000, P. R. China
| | - Tao Zhu
- National
Key Laboratory of Solid State Microstructures, Department of Physics, Nanjing University, Nanjing 210093, P. R. China
| | - Rong Fan
- Department
of Electronics and Engineering, Yili Normal
University, Yining 835000, P. R. China
| | - Zhongying Jiang
- Key
Laboratory of Micro-nano Electric Sensing Technology and Bionic Devices,
Department of Network Security and Information Technology, Yili Normal University, Yining 835000, P. R. China
| | - Jie Sheng
- Department
of Electronics and Engineering, Yili Normal
University, Yining 835000, P. R. China
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Li X, Meng Y, Li W, Zhang J, Dang C, Wang H, Hung SW, Fan R, Chen FR, Zhao S, Ho JC, Lu Y. Multislip-enabled morphing of all-inorganic perovskites. Nat Mater 2023; 22:1175-1181. [PMID: 37580366 DOI: 10.1038/s41563-023-01631-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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 07/10/2023] [Indexed: 08/16/2023]
Abstract
All-inorganic lead halide perovskites (CsPbX3, X = Cl, Br or I) are becoming increasingly important for energy conversion and optoelectronics because of their outstanding performance and enhanced environmental stability. Morphing perovskites into specific shapes and geometries without damaging their intrinsic functional properties is attractive for designing devices and manufacturing. However, inorganic semiconductors are often intrinsically brittle at room temperature, except for some recently reported layered or van der Waals semiconductors. Here, by in situ compression, we demonstrate that single-crystal CsPbX3 micropillars can be substantially morphed into distinct shapes (cubic, L and Z shapes, rectangular arches and so on) without localized cleavage or cracks. Such exceptional plasticity is enabled by successive slips of partial dislocations on multiple [Formula: see text] systems, as evidenced by atomic-resolution transmission electron microscopy and first-principles and atomistic simulations. The optoelectronic performance and bandgap of the devices were unchanged. Thus, our results suggest that CsPbX3 perovskites, as potential deformable inorganic semiconductors, may have profound implications for the manufacture of advanced optoelectronics and energy systems.
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Affiliation(s)
- Xiaocui Li
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, China
- Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, China
- Time-resolved Aberration Corrected Environmental Electron Microscope Unit, City University of Hong Kong, Kowloon, China
| | - You Meng
- Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, China
| | - Wanpeng Li
- Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, China
- Time-resolved Aberration Corrected Environmental Electron Microscope Unit, City University of Hong Kong, Kowloon, China
| | - Jun Zhang
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, China
| | - Chaoqun Dang
- Center for X-mechanics, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, China
| | - Heyi Wang
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, China
| | - Shih-Wei Hung
- Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, China
- Time-resolved Aberration Corrected Environmental Electron Microscope Unit, City University of Hong Kong, Kowloon, China
| | - Rong Fan
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, China
| | - Fu-Rong Chen
- Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, China.
- Time-resolved Aberration Corrected Environmental Electron Microscope Unit, City University of Hong Kong, Kowloon, China.
| | - Shijun Zhao
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, China.
| | - Johnny C Ho
- Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, China.
| | - Yang Lu
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, China.
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.
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Kim D, Biancon G, Bai Z, VanOudenhove J, Liu Y, Kothari S, Gowda L, Kwan JM, Buitrago-Pocasangre NC, Lele N, Asashima H, Racke MK, Wilson JE, Givens TS, Tomayko MM, Schulz WL, Longbrake EE, Hafler DA, Halene S, Fan R. Microfluidic Immuno-Serolomic Assay Reveals Systems Level Association with COVID-19 Pathology and Vaccine Protection. Small Methods 2023; 7:e2300594. [PMID: 37312418 PMCID: PMC10592458 DOI: 10.1002/smtd.202300594] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/23/2023] [Indexed: 06/15/2023]
Abstract
How to develop highly informative serology assays to evaluate the quality of immune protection against coronavirus disease-19 (COVID-19) has been a global pursuit over the past years. Here, a microfluidic high-plex immuno-serolomic assay is developed to simultaneously measure50 plasma or serum samples for50 soluble markers including 35proteins, 11 anti-spike/receptor binding domian (RBD) IgG antibodies spanningmajor variants, and controls. This assay demonstrates the quintuplicate test in a single run with high throughput, low sample volume, high reproducibilityand accuracy. It is applied to the measurement of 1012 blood samples including in-depth analysis of sera from 127 patients and 21 healthy donors over multiple time points, either with acute COVID infection or vaccination. The protein analysis reveals distinct immune mediator modules that exhibit a reduced degree of diversity in protein-protein cooperation in patients with hematologic malignancies or receiving B cell depletion therapy. Serological analysis identifies that COVID-infected patients with hematologic malignancies display impaired anti-RBD antibody response despite high level of anti-spike IgG, which can be associated with limited clonotype diversity and functional deficiency in B cells. These findings underscore the importance to individualize immunization strategies for these high-risk patients and provide an informative tool to monitor their responses at the systems level.
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Affiliation(s)
- Dongjoo Kim
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Giulia Biancon
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Zhiliang Bai
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Jennifer VanOudenhove
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Yuxin Liu
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Shalin Kothari
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Lohith Gowda
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Jennifer M Kwan
- Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
| | | | - Nikhil Lele
- Department of Neurology, Yale University, New Haven, CT, 06520, USA
| | | | | | | | | | - Mary M Tomayko
- Departments of Dermatology, Yale University, New Haven, CT, 06520, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Wade L Schulz
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Erin E Longbrake
- Department of Neurology, Yale University, New Haven, CT, 06520, USA
| | - David A Hafler
- Department of Neurology, Yale University, New Haven, CT, 06520, USA
- Department of Immunobiology, Yale University, New Haven, CT, 06520, USA
| | - Stephanie Halene
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, 06520, USA
- Yale Center for RNA Science and Medicine, Yale School of Medicine, New Haven, CT, 06520, USA
- Yale Cancer Center and Stem Cell Center, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, 06520, USA
- Yale Cancer Center and Stem Cell Center, Yale School of Medicine, New Haven, CT, 06520, USA
- Human and Translational Immunology, Yale School of Medicine, New Haven, CT, 06520, USA
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Fan R, Chen L, Zhao S, Yang H, Li Z, Qian Y, Ma H, Liu X, Wang C, Liang X, Bai J, Xie J, Fan X, Xie Q, Hao X, Wang C, Yang S, Gao Y, Bai H, Dou X, Liu J, Wu L, Jiang G, Xia Q, Zheng D, Rao H, Xia J, Shang J, Gao P, Xie D, Yu Y, Yang Y, Gao H, Liu Y, Sun A, Jiang Y, Yu Y, Niu J, Sun J, Wang H, Hou J. Novel, high accuracy models for hepatocellular carcinoma prediction based on longitudinal data and cell-free DNA signatures. J Hepatol 2023; 79:933-944. [PMID: 37302583 DOI: 10.1016/j.jhep.2023.05.039] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/09/2023] [Accepted: 05/23/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND & AIMS Current hepatocellular carcinoma (HCC) risk scores do not reflect changes in HCC risk resulting from liver disease progression/regression over time. We aimed to develop and validate two novel prediction models using multivariate longitudinal data, with or without cell-free DNA (cfDNA) signatures. METHODS A total of 13,728 patients from two nationwide multicenter prospective observational cohorts, the majority of whom had chronic hepatitis B, were enrolled. aMAP score, as one of the most promising HCC prediction models, was evaluated for each patient. Low-pass whole-genome sequencing was used to derive multi-modal cfDNA fragmentomics features. A longitudinal discriminant analysis algorithm was used to model longitudinal profiles of patient biomarkers and estimate the risk of HCC development. RESULTS We developed and externally validated two novel HCC prediction models with a greater accuracy, termed aMAP-2 and aMAP-2 Plus scores. The aMAP-2 score, calculated with longitudinal data on the aMAP score and alpha-fetoprotein values during an up to 8-year follow-up, performed superbly in the training and external validation cohorts (AUC 0.83-0.84). The aMAP-2 score showed further improvement and accurately divided aMAP-defined high-risk patients into two groups with 5-year cumulative HCC incidences of 23.4% and 4.1%, respectively (p = 0.0065). The aMAP-2 Plus score, which incorporates cfDNA signatures (nucleosome, fragment and motif scores), optimized the prediction of HCC development, especially for patients with cirrhosis (AUC 0.85-0.89). Importantly, the stepwise approach (aMAP -> aMAP-2 -> aMAP-2 Plus) stratified patients with cirrhosis into two groups, comprising 90% and 10% of the cohort, with an annual HCC incidence of 0.8% and 12.5%, respectively (p <0.0001). CONCLUSIONS aMAP-2 and aMAP-2 Plus scores are highly accurate in predicting HCC. The stepwise application of aMAP scores provides an improved enrichment strategy, identifying patients at a high risk of HCC, which could effectively guide individualized HCC surveillance. IMPACT AND IMPLICATIONS In this multicenter nationwide cohort study, we developed and externally validated two novel hepatocellular carcinoma (HCC) risk prediction models (called aMAP-2 and aMAP-2 Plus scores), using longitudinal discriminant analysis algorithm and longitudinal data (i.e., aMAP and alpha-fetoprotein) with or without the addition of cell-free DNA signatures, based on 13,728 patients from 61 centers across mainland China. Our findings demonstrated that the performance of aMAP-2 and aMAP-2 Plus scores was markedly better than the original aMAP score, and any other existing HCC risk scores across all subsets, especially for patients with cirrhosis. More importantly, the stepwise application of aMAP scores (aMAP -> aMAP-2 -> aMAP-2 Plus) provides an improved enrichment strategy, identifying patients at high risk of HCC, which could effectively guide individualized HCC surveillance.
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Affiliation(s)
- Rong Fan
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lei Chen
- International Cooperation Laboratory on Signal Transduction, National Center for Liver Cancer, Eastern Hepatobiliary Surgery Institute/hospital, Shanghai, China
| | - Siru Zhao
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hao Yang
- Berry Oncology Corporation, Beijing, China
| | | | - Yunsong Qian
- Hepatology Department, Ningbo Hwamei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Hong Ma
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Chuanxin Wang
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xieer Liang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jian Bai
- Berry Oncology Corporation, Beijing, China
| | - Jianping Xie
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaotang Fan
- Department of Hepatology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Qing Xie
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Hao
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | | | - Song Yang
- Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yanhang Gao
- The First Hospital of Jilin University, Changchun, China
| | - Honglian Bai
- The Department of Infectious Disease, The First People's Hospital of Foshan, Foshan, China
| | - Xiaoguang Dou
- Department of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jingfeng Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Lin Wu
- Berry Oncology Corporation, Beijing, China
| | - Guoqing Jiang
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Qi Xia
- Department of Infectious Diseases, Zhejiang University 1st Affiliated Hospital, Hangzhou, China
| | - Dan Zheng
- Department of Gastroenterology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiying Rao
- Peking University Hepatology Institute, Peking University People's Hospital, Beijing, China
| | - Jie Xia
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jia Shang
- Henan Provincial People's Hospital, Zhengzhou, China
| | - Pujun Gao
- The First Hospital of Jilin University, Changchun, China
| | - Dongying Xie
- Department of Infectious Diseases, Sun Yat-Sen University 3rd Affiliated Hospital, Guangzhou, China
| | - Yanlong Yu
- Chifeng Clinical Medical School of Inner, Mongolia Medical University, Chifeng, China
| | | | | | - Yali Liu
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Aimin Sun
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Yongfang Jiang
- Liver Disease Research Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yanyan Yu
- Department of Infectious Diseases, First Hospital of Peking University, Beijing, China
| | - Junqi Niu
- The First Hospital of Jilin University, Changchun, China
| | - Jian Sun
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Hongyang Wang
- International Cooperation Laboratory on Signal Transduction, National Center for Liver Cancer, Eastern Hepatobiliary Surgery Institute/hospital, Shanghai, China.
| | - Jinlin Hou
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
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Abstract
Single-cell multi-omics technologies and methods characterize cell states and activities by simultaneously integrating various single-modality omics methods that profile the transcriptome, genome, epigenome, epitranscriptome, proteome, metabolome and other (emerging) omics. Collectively, these methods are revolutionizing molecular cell biology research. In this comprehensive Review, we discuss established multi-omics technologies as well as cutting-edge and state-of-the-art methods in the field. We discuss how multi-omics technologies have been adapted and improved over the past decade using a framework characterized by optimization of throughput and resolution, modality integration, uniqueness and accuracy, and we also discuss multi-omics limitations. We highlight the impact that single-cell multi-omics technologies have had in cell lineage tracing, tissue-specific and cell-specific atlas production, tumour immunology and cancer genetics, and in mapping of cellular spatial information in fundamental and translational research. Finally, we discuss bioinformatics tools that have been developed to link different omics modalities and elucidate functionality through the use of better mathematical modelling and computational methods.
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Affiliation(s)
- Alev Baysoy
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Zhiliang Bai
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Rahul Satija
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
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46
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Liu Y, DiStasio M, Su G, Asashima H, Enninful A, Qin X, Deng Y, Nam J, Gao F, Bordignon P, Cassano M, Tomayko M, Xu M, Halene S, Craft JE, Hafler D, Fan R. High-plex protein and whole transcriptome co-mapping at cellular resolution with spatial CITE-seq. Nat Biotechnol 2023; 41:1405-1409. [PMID: 36823353 PMCID: PMC10567548 DOI: 10.1038/s41587-023-01676-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [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: 03/28/2022] [Accepted: 01/12/2023] [Indexed: 02/25/2023]
Abstract
In this study, we extended co-indexing of transcriptomes and epitopes (CITE) to the spatial dimension and demonstrated high-plex protein and whole transcriptome co-mapping. We profiled 189 proteins and whole transcriptome in multiple mouse tissue types with spatial CITE sequencing and then further applied the method to measure 273 proteins and transcriptome in human tissues, revealing spatially distinct germinal center reactions in tonsil and early immune activation in skin at the Coronavirus Disease 2019 mRNA vaccine injection site.
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Affiliation(s)
- Yang Liu
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Marcello DiStasio
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Graham Su
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Hiromitsu Asashima
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Archibald Enninful
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Xiaoyu Qin
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Yanxiang Deng
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Jungmin Nam
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Fu Gao
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | | | | | - Mary Tomayko
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Department of Dermatology, Yale School of Medicine, New Haven, CT, USA
| | - Mina Xu
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Stephanie Halene
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Joseph E Craft
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Human and Translational Immunology Program, Yale School of Medicine, New Haven, CT, USA
| | - David Hafler
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Human and Translational Immunology Program, Yale School of Medicine, New Haven, CT, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
- Human and Translational Immunology Program, Yale School of Medicine, New Haven, CT, USA.
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47
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Wang D, Zhao Z, Long Y, Fan R. Protein Kinase C Is Involved in Vegetative Development, Stress Response and Pathogenicity in Verticillium dahliae. Int J Mol Sci 2023; 24:14266. [PMID: 37762573 PMCID: PMC10531995 DOI: 10.3390/ijms241814266] [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: 07/31/2023] [Revised: 08/30/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Potato Verticillium wilt, caused by Verticillium dahliae, is a serious soil-borne vascular disease, which restricts the sustainable development of the potato industry, and the pathogenic mechanism of the fungus is complex. Therefore, it is of great significance to explore the important pathogenic factors of V. dahliae to expand the understanding of its pathology. Protein kinase C (PKC) gene is located in the Ca2+ signaling pathway, which is highly conserved in filamentous fungi and involved in the regulation of a variety of biological processes. In the current study, the PKC gene in V. dahliae (VdPKC) was characterized, and its effects on the fungal pathogenicity and tolerance to fungicide stress were further studied. The results showed that the VdPKC positively regulated the growth and development, conidial germination, and production of V. dahliae, which was necessary for the fungus to achieve pathogenicity. It also affected the formation of melanin and microsclerotia and changed the adaptability of V. dahliae to different environmental stresses. In addition, VdPKC altered the tolerance of V. dahliae to different fungicides, which may be a potential target for polyoxin. Therefore, our results strongly suggest that VdPKC gene is necessary for the vegetative growth, stress response, and pathogenicity of V. dahliae.
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Affiliation(s)
| | | | | | - Rong Fan
- College of Agriculture, Guizhou University, Guiyang 550025, China; (D.W.); (Z.Z.); (Y.L.)
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48
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Chen J, Liu S, Su S, Fan R, Zhang R, Meng W, Tan J. Sulfonium-based precise alkyl transposition reactions. Sci Adv 2023; 9:eadi1370. [PMID: 37713480 PMCID: PMC10881050 DOI: 10.1126/sciadv.adi1370] [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] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 08/14/2023] [Indexed: 09/17/2023]
Abstract
S-adenosyl-L-methionine (SAM), a sulfonium-based cofactor, plays an important role in numerous biological processes as methyl donor. Inspired by the function of sulfonium motif in this nature's synthetic toolkit, we here present an aryne-activation strategy that the sulfonium intermediates in situ generated from thioethers display unique reactivity toward alkyl group transposition. Experimental and theoretical studies indicate that the reaction occurs in an intermolecular fashion where the TfO--incorporated [K(18-crown-6)] complex acts as a key promoter for this thermodynamically favored process. Next, a series of robust, easy-to-prepare sulfonium salts are designed and developed as electrophilic alkylation reagents accordingly. Both systems feature for broad scope, excellent selectivity, and simple operation. Moreover, we highlight the synthetic value through molecular editing and late-stage modification of complex scaffolds or even active pharmaceutical ingredients.
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Affiliation(s)
- Jian Chen
- Department of Organic Chemistry, College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Shilu Liu
- Department of Organic Chemistry, College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Shuaisong Su
- Department of Organic Chemistry, College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Rong Fan
- Department of Organic Chemistry, College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Ruirui Zhang
- Department of Organic Chemistry, College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
| | - Wei Meng
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Molecular Recognition and Function, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiajing Tan
- Department of Organic Chemistry, College of Chemistry, Beijing University of Chemical Technology (BUCT), Beijing 100029, China
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49
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Wang X, Chen M, Chu S, Fan R, Chan ISF. A rank-based approach to improve the efficiency of inferential seamless phase 2/3 clinical trials with dose optimization. Contemp Clin Trials 2023; 132:107300. [PMID: 37467949 DOI: 10.1016/j.cct.2023.107300] [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: 02/07/2023] [Revised: 06/27/2023] [Accepted: 07/15/2023] [Indexed: 07/21/2023]
Abstract
To accelerate clinical development, seamless 2/3 adaptive design is an attractive strategy to combine phase 2 dose selection with phase 3 confirmatory objectives. As the regulatory requirement for dose optimization in oncology drugs shifted from maximum tolerated dose to maximum effective dose, it's important to gather more data on multiple candidate doses to inform dose selection. A phase 3 dose may be selected based on phase 2 results and carried forward in phase 3 study. Data obtained from both phases will be combined in the final analysis. In many disease settings biomarker endpoints are utilized for dose selection as they are correlated with the clinical efficacy endpoints. As discussed in Li et al. (2015), the combined analysis may cause type I error inflation due to the correlation and dose selection. Sidák adjustment has been proposed to control the overall type I error by adjusting p-values in phase 2 when performing the combined p-value test. However, this adjustment could be overly conservative as it does not consider the underlying correlations among doses/endpoints. We propose an alternative approach utilizing biomarker rank-based ordered test statistics which takes the rank order of the selected dose and the correlation into consideration. If the correlation is unknown, we propose a rank-based Dunnett adjustment, which includes the traditional Dunnett adjustment as a special case. We show that the proposed method controls the overall type I error, and leads to a uniformly higher power than Sidák adjustment and the traditional Dunnett adjustment under all potential correlation scenarios discussed.
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Affiliation(s)
- Xin Wang
- Bristol Myers Squibb Company, 86 Morris Ave, Summit, NJ 07901, USA
| | - Min Chen
- Bristol Myers Squibb Company, 86 Morris Ave, Summit, NJ 07901, USA
| | - Shuyu Chu
- Bristol Myers Squibb Company, 86 Morris Ave, Summit, NJ 07901, USA
| | - Rong Fan
- Pfizer Inc., 500 Arcola Rd, Collegeville, PA 19426, USA.
| | - Ivan S F Chan
- Bristol Myers Squibb Company, 86 Morris Ave, Summit, NJ 07901, USA
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50
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Dong M, Kluger H, Fan R, Kluger Y. SIMVI reveals intrinsic and spatial-induced states in spatial omics data. bioRxiv 2023:2023.08.28.554970. [PMID: 37693629 PMCID: PMC10491129 DOI: 10.1101/2023.08.28.554970] [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] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Spatial omics analyze gene expression and interaction dynamics in relation to tissue structure and function. However, existing methods cannot model the intrinsic and spatial-induced variation in spatial omics data, thus failing to identify true spatial interaction effects. Here, we present Spatial Interaction Modeling using Variational Inference (SIMVI), an annotation-free framework that disentangles cell intrinsic and spatial-induced latent variables for modeling gene expression in spatial omics data. SIMVI enables novel downstream analyses, such as clustering and differential expression analysis based on disentangled representations, spatial effect (SE) identification, SE interpretation, and transfer learning on new measurements / modalities. We benchmarked SIMVI on both simulated and real datasets and show that SIMVI uniquely generates highly accurate SE inferences in synthetic datasets and unveils intrinsic variation in complex real datasets. We applied SIMVI to spatial omics data from diverse platforms and tissues (MERFISH human cortex / mouse liver, Slide-seqv2 mouse hippocampus, Spatial-ATAC-RNA-seq) and revealed various region-specific and cell-type-specific spatial interactions. In addition, our experiments on MERFISH human cortex and spatial-ATAC-RNA-seq showcased SIMVI's power in identifying SEs for new samples / modalities. Finally, we applied SIMVI on a newly collected CosMx melanoma dataset. Using SIMVI, we identified immune cells associated with spatial-dependent interactions and revealed the underlying spatial variations associated with patient outcomes.
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Affiliation(s)
- Mingze Dong
- Interdepartmental Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Harriet Kluger
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Yale Center for Immuno-Oncology, Yale School of Medicine, New Haven, CT, USA
| | - Rong Fan
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Yuval Kluger
- Interdepartmental Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Applied Mathematics Program, Yale University, New Haven, CT, USA
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