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Hu B, Chen D, Li Y, Yu S, Kuang L, Ma X, Yang Q, He K, Zhao Y, Wang G, Guo M. Expression of TXLNA in brain gliomas and its clinical significance: a bioinformatics analysis. Chin Neurosurg J 2023; 9:27. [PMID: 37752559 PMCID: PMC10521531 DOI: 10.1186/s41016-023-00341-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 08/29/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND To analyze the expression of TXLNA in brain gliomas and its clinical significance. METHODS Gene Expression Profiling Interactive Analysis(GEPIA)and Chinese Glioma Genome Atlas(CGGA)databases were retrieved as the methods. To assess the disparity between TXLNA expression in glioma and normal brain tissue. The Kaplan-Meier survival curve was employed to preliminarily evaluate the survival curves of the high and low expression groups, this was done for investigate the correlation between TXLNA expression level and the survival and prognosis of glioma. A Cox proportional regression risk model of multivariate nature was employed to evaluate the elements impacting the survival and prognosis of glioma. Gene pool enrichment analysis(GSEA)was used to investigate the related function of TXLNA in glioma. A Pearson correlation test and co-expression analysis were employed to identify the genes most associated with TXLNA expression. RESULT The enrichment analysis results were observably enriched in signal pathways for instance the cell cycle and completion and coordination cascade pathways, and it is evident that high expression of TXLNA in gliomas is related to a poor survival and a bad patient prognosis, thus making it an independent prognostic factor for gliomas. Genes such as STK40 and R1MS1 are significantly correlated with TXLNA, playing a synergistic or antagonistic role. CONCLUSIONS The prognosis of GBM patients is strongly linked to the high expression of TXLNA, which may be a viable therapeutic target for curbing cancer progression and creating new immunotherapies for GBM.
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Affiliation(s)
- Bowen Hu
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Desheng Chen
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Yang Li
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Shan Yu
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Liangwen Kuang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Xinqi Ma
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Qingsong Yang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Ke He
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Yan Zhao
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Guangzhi Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China.
| | - Mian Guo
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China.
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Aleksander SA, Balhoff J, Carbon S, Cherry JM, Drabkin HJ, Ebert D, Feuermann M, Gaudet P, Harris NL, Hill DP, Lee R, Mi H, Moxon S, Mungall CJ, Muruganugan A, Mushayahama T, Sternberg PW, Thomas PD, Van Auken K, Ramsey J, Siegele DA, Chisholm RL, Fey P, Aspromonte MC, Nugnes MV, Quaglia F, Tosatto S, Giglio M, Nadendla S, Antonazzo G, Attrill H, Dos Santos G, Marygold S, Strelets V, Tabone CJ, Thurmond J, Zhou P, Ahmed SH, Asanitthong P, Luna Buitrago D, Erdol MN, Gage MC, Ali Kadhum M, Li KYC, Long M, Michalak A, Pesala A, Pritazahra A, Saverimuttu SCC, Su R, Thurlow KE, Lovering RC, Logie C, Oliferenko S, Blake J, Christie K, Corbani L, Dolan ME, Drabkin HJ, Hill DP, Ni L, Sitnikov D, Smith C, Cuzick A, Seager J, Cooper L, Elser J, Jaiswal P, Gupta P, Jaiswal P, Naithani S, Lera-Ramirez M, Rutherford K, Wood V, De Pons JL, Dwinell MR, Hayman GT, Kaldunski ML, Kwitek AE, Laulederkind SJF, Tutaj MA, Vedi M, Wang SJ, D'Eustachio P, Aimo L, Axelsen K, Bridge A, Hyka-Nouspikel N, Morgat A, Aleksander SA, Cherry JM, Engel SR, Karra K, Miyasato SR, Nash RS, Skrzypek MS, Weng S, Wong ED, Bakker E, Berardini TZ, Reiser L, Auchincloss A, Axelsen K, Argoud-Puy G, Blatter MC, Boutet E, Breuza L, Bridge A, Casals-Casas C, Coudert E, Estreicher A, Livia Famiglietti M, Feuermann M, Gos A, Gruaz-Gumowski N, Hulo C, Hyka-Nouspikel N, Jungo F, Le Mercier P, Lieberherr D, Masson P, Morgat A, Pedruzzi I, Pourcel L, Poux S, Rivoire C, Sundaram S, Bateman A, Bowler-Barnett E, Bye-A-Jee H, Denny P, Ignatchenko A, Ishtiaq R, Lock A, Lussi Y, Magrane M, Martin MJ, Orchard S, Raposo P, Speretta E, Tyagi N, Warner K, Zaru R, Diehl AD, Lee R, Chan J, Diamantakis S, Raciti D, Zarowiecki M, Fisher M, James-Zorn C, Ponferrada V, Zorn A, Ramachandran S, Ruzicka L, Westerfield M. The Gene Ontology knowledgebase in 2023. Genetics 2023; 224:iyad031. [PMID: 36866529 PMCID: PMC10158837 DOI: 10.1093/genetics/iyad031] [Citation(s) in RCA: 326] [Impact Index Per Article: 326.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 03/04/2023] Open
Abstract
The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO-a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations-evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)-mechanistic models of molecular "pathways" (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project.
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Studying Sjögren's syndrome in mice: What is the best available model? J Oral Biol Craniofac Res 2021; 11:245-255. [PMID: 33665074 DOI: 10.1016/j.jobcr.2020.12.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 12/04/2020] [Accepted: 12/05/2020] [Indexed: 01/18/2023] Open
Abstract
Sjögren's syndrome (SS) is a common autoimmune disease characterized by lymphocytic infiltration and destruction of exocrine glands. The disease manifests primarily in the salivary and lacrimal glands, but other organs are also involved, leading to dry mouth, dry eyes, and other extra-glandular manifestations. Studying the disease in humans is entailed with many limitations and restrictions; therefore, the need for a proper mouse model is mandatory. SS mouse models are categorized, depending on the disease emergence into spontaneous or experimentally manipulated models. The usefulness of each mouse model varies depending on the SS features exhibited by that model; each SS model has advanced our understanding of the disease pathogenesis. In this review article, we list all the available murine models which have been used to study SS and we comment on the characteristics exhibited by each mouse model to assist scientists to select the appropriate model for their specific studies. We also recommend a murine strain that is the most relevant to the ideal SS model, based on our experience acquired during previous and current investigations.
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Lv S, Zhang G, Xie L, Yan Z, Wang Q, Li Y, Zhang L, Han Y, Li H, Du Y, Yang Y, Guo X. High TXLNA Expression Predicts Favourable Outcome for Pancreatic Adenocarcinoma Patients. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2585862. [PMID: 32185195 PMCID: PMC7060861 DOI: 10.1155/2020/2585862] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Accepted: 01/30/2020] [Indexed: 02/06/2023]
Abstract
TXLNA (taxilin alpha), a binding partner of the syntaxin family, was identified as a key factor in the coordination of intracellular vesicle trafficking and highly expressed in various tumor cells. However, the accurate relation between TXLNA and tumorigenesis and progression of pancreatic adenocarcinoma (PAAD) is still unclear. The present study was designed to examine the expression profile of TXLNA and explore its prognostic significance in PAAD patients and the possible molecular regulatory mechanism by analyzing a series of data from databases, including GEPIA, LOGpc, STRING, and GeneMANIA. The results indicate that TXLNA mRNA and protein were remarkably increased in PAAD tissues compared with normal pancreatic tissues. The high TXLNA expression was significantly correlated with superior overall survival (OS), disease-free interval (DFI), disease specific survival (DSS), and progression-free interval (PFI) for PAAD patients. In summary, high TXLNA expression could predict favourable OS, DFI, DSS, and PFI for PAAD patients, and it might be as potential prognostic biomarkers and targets for PAAD.
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Affiliation(s)
- Shuangyu Lv
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Guosen Zhang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Longxiang Xie
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Zhongyi Yan
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Qiang Wang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Yongqiang Li
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Lu Zhang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Yali Han
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Huimin Li
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Yaowu Du
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Yanjie Yang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
| | - Xiangqian Guo
- Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China
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Zhong W, Dong L, Poston TB, Darville T, Spracklen CN, Wu D, Mohlke KL, Li Y, Li Q, Zheng X. Inferring Regulatory Networks From Mixed Observational Data Using Directed Acyclic Graphs. Front Genet 2020; 11:8. [PMID: 32127796 PMCID: PMC7038820 DOI: 10.3389/fgene.2020.00008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 01/06/2020] [Indexed: 02/02/2023] Open
Abstract
Construction of regulatory networks using cross-sectional expression profiling of genes is desired, but challenging. The Directed Acyclic Graph (DAG) provides a general framework to infer causal effects from observational data. However, most existing DAG methods assume that all nodes follow the same type of distribution, which prohibit a joint modeling of continuous gene expression and categorical variables. We present a new mixed DAG (mDAG) algorithm to infer the regulatory pathway from mixed observational data containing both continuous variables (e.g. expression of genes) and categorical variables (e.g. categorical phenotypes or single nucleotide polymorphisms). Our method can identify upstream causal factors and downstream effectors closely linked to a variable and generate hypotheses for causal direction of regulatory pathways. We propose a new permutation method to test the conditional independence of variables of mixed types, which is the key for mDAG. We also utilize an L1 regularization in mDAG to ensure it can recover a large sparse DAG with limited sample size. We demonstrate through extensive simulations that mDAG outperforms two well-known methods in recovering the true underlying DAG. We apply mDAG to a cross-sectional immunological study of Chlamydia trachomatis infection and successfully infer the regularity network of cytokines. We also apply mDAG to a large cohort study, generating sensible mechanistic hypotheses underlying plasma adiponectin level. The R package mDAG is publicly available from CRAN at https://CRAN.R-project.org/package=mDAG.
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Affiliation(s)
- Wujuan Zhong
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Li Dong
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Taylor B Poston
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Toni Darville
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Di Wu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.,Department of Oral and Craniofacial Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.,Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Quefeng Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Xiaojing Zheng
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.,Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Abstract
PURPOSE OF REVIEW Over the last five decades, the attention of nephrologists has focused on cellular rejection which was considered to be responsible for the early loss of function of the transplanted kidney. The use of new drugs in different combinations with steroids resulted in an improved short-term survival of the graft, which has significantly reduced the incidence of acute rejections. The main problem now, however, is ensuring the long-term survival of the transplanted kidney. This has become the challenge of the new millennium. RECENT FINDINGS The current literature clearly focuses on donor-specific alloantibodies, directed against human leukocyte antigen (HLA) and non-HLA antigens [donor-specific antibodies (DSA)], which have been shown to play an important role in graft dysfunction, longevity, and loss. To mitigate allograft loss due to antibodies, it is important to treat the source of antibody production, the plasma cells. Drugs used prior to 2007, such as Rituximab, intravenous immunoglobulins, and plasmapheresis, lack effects on these long-lived plasma cells. Their ability to remove DSA is incomplete and/or cost prohibitive. Since 2007, Bortezomib, a proteasome inhibitor, has been used to deplete plasma cells, thus eliminating the synthesis of DSA. SUMMARY Antibody-mediated rejection (AMR) is common in patients with DSA and is associated with a poor prognosis. Novel medications that target each step of AMR pathogenesis have been produced and are successful when compared with more traditional therapies.
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Kemp EH, Ajjan RA, Metcalfe RA, Watson PF, Weetman AP. IL-14 and IL-16 are expressed in the thyroid of patients with either Graves' disease or Hashimoto's thyroiditis. Clin Endocrinol (Oxf) 2015; 83:726-32. [PMID: 25940130 DOI: 10.1111/cen.12810] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Revised: 01/26/2015] [Accepted: 04/23/2015] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Cytokines have an important role in orchestrating the pathophysiology in autoimmune thyroid disease. The aim of the current study was to analyse the expression of interleukin (IL)-14 and IL-16 in the thyroid tissue of patients with Graves' disease (GD), Hashimoto's thyroiditis (HT) or multinodular goitre (MNG) and in that of normal individuals, in patients' intrathyroidal CD4(+) and CD8(+) T cells, and in patient and normal cultured thyroid follicular cells. METHODS The expression of IL-14 and IL-16 mRNA and protein was investigated using reverse transcription-polymerase chain reaction (RT-PCR) amplification, and Western blotting and ELISAs, respectively. RESULTS IL-14 mRNA expression was detected in thyroid tissue from 8/9 GD, 3/4 HT and 3/13 MNG patients and 1/6 normal individuals, and IL-16 mRNA expression in thyroid tissue from 9/9 GD, 4/4 HT and 9/13 MNG patients and 4/6 normal individuals. IL-14 mRNA expression was detected in intrathyroidal CD4(+) and CD8(+) T cells from 2/2 GD and 2/2 HT patients, while IL-16 mRNA was detected in samples from 1/2 HT patients but not in those from either patient with GD. IL-14 and IL-16 mRNA expression was found in thyroid follicular cells derived from 2/2 patient with GD and 1/1 normal individual. IL-14 protein was detected in thyroid tissue from 6/6 GD, 1/1 HT and 0/6 MNG patients and 0/6 normal individuals, and IL-16 protein in thyroid tissue from 6/6 GD, 1/1 HT and 1/6 MNG patients and 0/6 normal individuals. Expression of IL-14 protein was stimulated in thyroid follicular cells derived from two patients with GD and one normal individual by peripheral blood mononuclear cell (PBMC)-conditioned medium. Treatment of thyrocytes from two patients with GD and one normal individual with PBMC-conditioned medium and tumour necrosis factor (TNF)-α stimulated IL-16 protein expression. In normal thyrocytes, IL-16 protein synthesis was induced also by IL-1β, IL-17A, IL-4 and transforming growth factor (TGF)-β. CONCLUSIONS The data provide evidence that the intrathyroidal production of IL-14 and IL-16 is associated with the pathogenesis of autoimmune thyroid disease. Thyroid follicular cells display the ability to express IL-14 and IL-16 mRNA and can be stimulated to express IL-16 protein, by a panel of cytokines, and IL-14 protein, by as yet unidentified factors.
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Affiliation(s)
- Elizabeth Helen Kemp
- Department of Human Metabolism, The Medical School, University of Sheffield, Sheffield, UK
| | - Ramzi A Ajjan
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Russell A Metcalfe
- Department of Human Metabolism, The Medical School, University of Sheffield, Sheffield, UK
| | - Philip F Watson
- Department of Human Metabolism, The Medical School, University of Sheffield, Sheffield, UK
| | - Anthony P Weetman
- Department of Human Metabolism, The Medical School, University of Sheffield, Sheffield, UK
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Pankewycz O, Soliman K, Laftavi MR. The increasing clinical importance of alloantibodies in kidney transplantation. Immunol Invest 2014; 43:775-89. [DOI: 10.3109/08820139.2014.910016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Xuan J, Shen L, Malyavantham K, Pankewycz O, Ambrus JL, Suresh L. Temporal histological changes in lacrimal and major salivary glands in mouse models of Sjogren's syndrome. BMC Oral Health 2013; 13:51. [PMID: 24093879 PMCID: PMC4015998 DOI: 10.1186/1472-6831-13-51] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2013] [Accepted: 09/26/2013] [Indexed: 12/04/2022] Open
Abstract
Background Evidence in imaging studies suggests that there may be differences in glandular involvement in Sjogren’s syndrome (SS) depending on the stage of the disease. No detailed histological studies are available to show if there are any such difference in glandular involvement at various time periods and stages of SS. This cross sectional study examines the inflammatory changes in mouse models of SS at various ages. Methods The histological changes in major salivary and lacrimal glands were studied at ages of 3, 6, 9, 12, 15 and 18 months in both sexes in well characterized mouse models of SS, non-obese diabetes mouse and Interleukin-14 alpha-transgenic mice. Results Our results indicate that early inflammation concurrently occur in submandibular and lacrimal glands around the age of 6 weeks. Parotid glands are involved much later in the course of SS with less severe inflammation. Sublingual glands are rarely involved. Conclusions Our conclusions are that SS may be an organ specific disease with early inflammation occurring in submandibular and lacrimal glands, followed by the parotid. Non organ specific events occur in later courses of the disease. The understanding of the disease progression is important in tailoring early local therapeutic interventions before complete destruction of salivary and lacrimal glands.
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Affiliation(s)
- Jingxiu Xuan
- IMMCO Diagnostics Inc,, 60 Pineview Drive, 14228 Buffalo, NY, USA.
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Lee BH, Gauna AE, Pauley KM, Park YJ, Cha S. Animal models in autoimmune diseases: lessons learned from mouse models for Sjögren's syndrome. Clin Rev Allergy Immunol 2012; 42:35-44. [PMID: 22105703 DOI: 10.1007/s12016-011-8288-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
The mouse model is the one of the most frequently used and well-established animal models, and is currently used in many research areas. To date, various mouse models have been utilized to elucidate underlying causes of multifactorial autoimmune conditions, including pathological immune components and specific signaling pathways. This review summarizes the more recent mouse models for Sjögren's syndrome, a systemic autoimmune disease characterized by lymphocytic infiltration in the exocrine glands, such as the salivary and lacrimal glands, and loss of secretory function, resulting in dry mouth and dry eyes in patients. Although every Sjögren's syndrome mouse model resembles the major symptoms or phenotypes of Sjögren's syndrome conditions in humans, the characteristics of each model are variable. Moreover, to date, there is no single mouse model that can completely replicate the human conditions. However, unique features of each mouse model provide insights into the roles of potential etiological and immunological factors in the development and progression of Sjögren's syndrome. Here, we will overview the Sjögren's syndrome mouse models. Lessons from these mouse models will aid us to understand underlying immune dysregulation in autoimmune diseases in general, and will guide us to direct future research towards appropriate diagnostic and therapeutic strategies.
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Affiliation(s)
- Byung Ha Lee
- Department of Oral and Maxillofacial Diagnostic Sciences, University of Florida College of Dentistry, JHMHSC, Gainesville, FL 32610, USA
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Akdis M, Burgler S, Crameri R, Eiwegger T, Fujita H, Gomez E, Klunker S, Meyer N, O'Mahony L, Palomares O, Rhyner C, Ouaked N, Quaked N, Schaffartzik A, Van De Veen W, Zeller S, Zimmermann M, Akdis CA. Interleukins, from 1 to 37, and interferon-γ: receptors, functions, and roles in diseases. J Allergy Clin Immunol 2011; 127:701-21.e1-70. [PMID: 21377040 DOI: 10.1016/j.jaci.2010.11.050] [Citation(s) in RCA: 518] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2010] [Revised: 11/11/2010] [Accepted: 11/12/2010] [Indexed: 12/17/2022]
Abstract
Advancing our understanding of mechanisms of immune regulation in allergy, asthma, autoimmune diseases, tumor development, organ transplantation, and chronic infections could lead to effective and targeted therapies. Subsets of immune and inflammatory cells interact via ILs and IFNs; reciprocal regulation and counter balance among T(h) and regulatory T cells, as well as subsets of B cells, offer opportunities for immune interventions. Here, we review current knowledge about ILs 1 to 37 and IFN-γ. Our understanding of the effects of ILs has greatly increased since the discoveries of monocyte IL (called IL-1) and lymphocyte IL (called IL-2); more than 40 cytokines are now designated as ILs. Studies of transgenic or knockout mice with altered expression of these cytokines or their receptors and analyses of mutations and polymorphisms in human genes that encode these products have provided important information about IL and IFN functions. We discuss their signaling pathways, cellular sources, targets, roles in immune regulation and cellular networks, roles in allergy and asthma, and roles in defense against infections.
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Affiliation(s)
- Mübeccel Akdis
- Swiss Institute of Allergy and Asthma Research, University of Zurich, Davos, Switzerland.
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12
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Current concepts: mouse models of Sjögren's syndrome. J Biomed Biotechnol 2010; 2011:549107. [PMID: 21253584 PMCID: PMC3018660 DOI: 10.1155/2011/549107] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2010] [Accepted: 11/10/2010] [Indexed: 11/18/2022] Open
Abstract
Sjögren's syndrome (SjS) is a complex chronic autoimmune disease of unknown etiology which primarily targets the exocrine glands, resulting in eventual loss of secretory function. The disease can present as either primary SjS or secondary SjS, the latter of which occurs concomitantly with another autoimmune disease such as rheumatoid arthritis, systemic lupus erythematosus, scleroderma, or primary biliary cirrhosis. Current advancements in therapeutic prevention and treatment for SjS are impeded by lack of understanding in the pathophysiological and clinical progression of the disease. Development of appropriate mouse models for both primary and secondary SjS is needed in order to advance knowledge of this disease. This paper details important features, advantages, and pitfalls of current animal models of SjS, including spontaneous, transgenic, knockout, immunization, and transplantation chimera mouse models, and emphasizes the need for a better model in representing the human SjS phenotype.
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Peng X, Zhou C, Wei D, Luo Z, Zhang C. Characteristics of a Novel Monoclonal Antibody Against Interleukin-14α. Hybridoma (Larchmt) 2009; 28:235-9. [PMID: 19663695 DOI: 10.1089/hyb.2009.0007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Xiaodong Peng
- Department of Immunology, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, China
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14
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Regulation of Human Interleukin 14 Transcription In Vitro and In Vivo After Renal Transplantation. Transplantation 2008; 86:336-41. [DOI: 10.1097/tp.0b013e31817c6380] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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15
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Soyfoo MS, Steinfeld S, Delporte C. Usefulness of mouse models to study the pathogenesis of Sjögren's syndrome. Oral Dis 2007; 13:366-75. [PMID: 17577322 DOI: 10.1111/j.1601-0825.2007.01376.x] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Sjögren's syndrome (SS) is an autoimmune disorder characterized by ocular and oral dryness as well as systemic manifestations. The immunopathogenesis of SS is complex with different intricate factors. Because of the delay in the appearance of symptoms and due to ethical issues it is very difficult to study the wide array of factors intervening in the pathogenesis of SS in human patients. To circumvent this problem, different animal models have been elaborated for studying the different subsets of the aspects of the physiopathology of this disease. In this review, we focus on the mouse models that have been established to deepen our insight into the immunopathogenesis of SS.
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Affiliation(s)
- M S Soyfoo
- Laboratory of Biological Chemistry and Nutrition, Université Libre de Bruxelles, Brussels, Belgium
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16
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Ford RJ, Shen L, Lin-Lee YC, Pham LV, Multani A, Zhou HJ, Tamayo AT, Zhang C, Hawthorn L, Cowell JK, Ambrus JL. Development of a murine model for blastoid variant mantle-cell lymphoma. Blood 2007; 109:4899-906. [PMID: 17311992 PMCID: PMC1885517 DOI: 10.1182/blood-2006-08-038497] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2006] [Accepted: 02/12/2007] [Indexed: 12/20/2022] Open
Abstract
Blastoid-variant mantle-cell lymphoma (MCL-BV), unlike most B-cell non-Hodgkin lymphomas (NHL-Bs), is refractory to conventional chemotherapy and associated with a very poor prognosis. Development of new therapies has been hampered by the lack of valid animal models. We have developed a novel murine model of MCL-BV by crossing interleukin 14alpha (IL-14alpha) transgenic mice with c-Myc transgenic mice (double transgenic [DTG]). IL-14alpha is a B-cell growth factor that is expressed in a number of high-grade lymphomas, including MCL-BV. Ninety-five percent of IL-14alpha transgenic mice develop CD5(+) large B-cell lymphomas by 18 months of age. Sixty percent of c-Myc transgenic mice develop pre-B-cell lymphomas by 12 months of age. Close to 100% of DTG mice develop an aggressive, rapidly fatal lymphoma at 3 to 4 months of age that is CD5(+), CD19(+), CD21(-), CD23(-), sIgM(+). The tumor is found in the blood, bone marrow, liver, spleen, lymph nodes, gastrointestinal tract, and lungs and rarely in the brain, similar to the involvement seen in human MCL-BV. Immunoglobulin gene rearrangements document the monoclonality of the tumor. Cyclin D1 is highly expressed in these tumors, as it is in MCL-BV. DTG represents a novel model for MCL-BV that should reveal important insights into the pathogenesis of the lymphoma and contribute to the development of new forms of therapy.
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Affiliation(s)
- Richard J Ford
- Department of Hematopathology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
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17
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Shen L, Zhang C, Wang T, Brooks S, Ford RJ, Lin-Lee YC, Kasianowicz A, Kumar V, Martin L, Liang P, Cowell J, Ambrus JL. Development of Autoimmunity in IL-14α-Transgenic Mice. THE JOURNAL OF IMMUNOLOGY 2006; 177:5676-86. [PMID: 17015757 DOI: 10.4049/jimmunol.177.8.5676] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Multiple genetic loci contribute to the development of systemic lupus erythematosus (SLE). In murine models for SLE, various genes on chromosome four have been implicated. IL-14 is a cytokine originally identified as a B cell growth factor. The il14 gene is located on chromosome 4. IL-14alpha is a cytokine encoded by the plus strand of the IL-14 gene using exons 3-10. The expression of IL-14alpha is increased in (NZB x NZW)F1 mice. In this study, we produced IL-14alpha-transgenic mice to study the role of IL-14alpha in the development of autoimmunity. At age 3-9 mo, IL-14alpha-transgenic mice demonstrate increased numbers of B1 cells in the peritoneum, increased serum IgM, IgG, and IgG 2a and show enhanced responses to T-dependent and T-independent Ags compared with littermate controls. At age 9-17 mo, IL-14alpha-transgenic mice develop autoantibodies, sialadenitis, as in Sjögren's syndrome, and immune complex-mediated nephritis, as in World Health Organization class II SLE nephritis. Between the ages 14-18 mo, 95% of IL-14alpha-transgenic mice developed CD5+ B cell lymphomas, consistent with the lymphomas seen in elderly patients with Sjögren's syndrome and SLE. These data support a role for IL-14alpha in the development of both autoimmunity and lymphomagenesis. These studies may provide a genetic link between these often related disorders.
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Affiliation(s)
- Long Shen
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY 14203, USA
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18
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Christiansen JH, Coles EG, Robinson V, Pasini A, Wilkinson DG. Screening from a subtracted embryonic chick hindbrain cDNA library: identification of genes expressed during hindbrain, midbrain and cranial neural crest development. Mech Dev 2001; 102:119-33. [PMID: 11287186 DOI: 10.1016/s0925-4773(01)00294-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
The vertebrate hindbrain is segmented into a series of transient structures called rhombomeres. Despite knowing several factors that are responsible for the segmentation and maintenance of the rhombomeres, there are still large gaps in understanding the genetic pathways that govern their development. To find previously unknown genes that are expressed within the embryonic hindbrain, a subtracted chick hindbrain cDNA library has been made and 445 randomly picked clones from this library have been analysed using whole mount in situ hybridisation. Thirty-six of these clones (8%) display restricted expression patterns within the hindbrain, midbrain or cranial neural crest and of these, twenty-two are novel and eleven encode peptides that correspond to or are highly related to proteins with previously uncharacterised roles during early neural development. The large proportion of genes with restricted expression patterns and previously unknown functions in the embryonic brain identified during this screen provides insights into the different types of molecules that have spatially regulated expression patterns in cranial neural tissue.
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Affiliation(s)
- J H Christiansen
- Division of Developmental Neurobiology, National Institute for Medical Research, The Ridgeway, Mill Hill, NW7 1AA, London, UK
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19
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Vidal S, Kono DH, Theofilopoulos AN. Loci predisposing to autoimmunity in MRL-Fas lpr and C57BL/6-Faslpr mice. J Clin Invest 1998; 101:696-702. [PMID: 9449705 PMCID: PMC508615 DOI: 10.1172/jci1817] [Citation(s) in RCA: 176] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Background genes determine the incidence and severity of lymphoaccumulation and histopathologic manifestations of systemic autoimmunity in mice homozygous for the apoptosis-defective Faslpr mutation. By interval mapping of 274 F2 mice intercrossed between MRL-Faslpr (severe disease) and C57BL/6-Faslpr (minimal disease), four loci were identified with significant linkage to lymphadenopathy and/ or splenomegaly on chromosomes 4, 5, 7, and 10, which were named lupus in (MRL-Faslpr x B6-Faslpr)F2 cross1-4 (Lmb1-4), respectively. Lmb1, -2, and -3 were also linked to the production of anti-dsDNA antibodies, but not glomerulonephritis, whereas Lmb4 was associated with glomerulonephritis. Lmb2, -3, and -4 were inherited from the MRL background, but interestingly, Lmb1 was derived from the C57BL16-Faslpr. Nevertheless, each locus, regardless of the strain of origin, appeared to act in an additive manner, although certain combinations were more effective. Only a single suggestive locus on chromosome 1 could be correlated with arthritis. The identification of loci with highly significant linkage to disease manifestations in Faslpr strains will make it possible to map and clone new genetic defects contributing to autoimmunity.
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Affiliation(s)
- S Vidal
- Department of Immunology, The Scripps Research Institute, La Jolla, California 92037, USA
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20
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Yuan X, Downing AK, Knott V, Handford PA. Solution structure of the transforming growth factor beta-binding protein-like module, a domain associated with matrix fibrils. EMBO J 1997; 16:6659-66. [PMID: 9362480 PMCID: PMC1170270 DOI: 10.1093/emboj/16.22.6659] [Citation(s) in RCA: 103] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Here we describe the high resolution nuclear magnetic resonance (NMR) structure of a transforming growth factor beta (TGF-beta)-binding protein-like (TB) domain, which comes from human fibrillin-1, the protein defective in the Marfan syndrome (MFS). This domain is found in fibrillins and latent TGF-beta-binding proteins (LTBPs) which are localized to fibrillar structures in the extracellular matrix. The TB domain manifests a novel fold which is globular and comprises six antiparallel beta-strands and two alpha-helices. An unusual cysteine triplet conserved in the sequences of TB domains is localized to the hydrophobic core, at the C-terminus of an alpha-helix. The structure is stabilized by four disulfide bonds which pair in a 1-3, 2-6, 4-7, 5-8 pattern, two of which are solvent exposed. Analyses of MFS-causing mutations and the fibrillin-1 cell-binding RGD site provide the first clues to the surface specificity of TB domain interactions. Modelling of a homologous TB domain from LTBP-1 (residues 1018-1080) suggests that hydrophobic contacts may play a role in its interaction with the TGF-beta1 latency-associated peptide.
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Affiliation(s)
- X Yuan
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
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21
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Banchereau J, Galibert L, Arpin C, Burdin N, Liu YJ, Garrone P. Positive and negative selection of human B lymphocytes in vitro. Ann N Y Acad Sci 1997; 815:237-45. [PMID: 9186660 DOI: 10.1111/j.1749-6632.1997.tb52065.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- J Banchereau
- Laboratory for Immunological Research, Schering-Plough, Dardilly, France
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22
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Smithrud DB, Benkovic PA, Benkovic SJ, Taylor CM, Yager KM, Witherington J, Philips BW, Sprengeler PA, Smith AB, Hirschmann R. Investigations of an Antibody Ligase. J Am Chem Soc 1997. [DOI: 10.1021/ja963167u] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- David B. Smithrud
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Patricia A. Benkovic
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Stephen J. Benkovic
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Carol M. Taylor
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Kraig M. Yager
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Jason Witherington
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Barton W. Philips
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Paul A. Sprengeler
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Amos B. Smith
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Ralph Hirschmann
- Contribution from the Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, and Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104
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23
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Ali H, Haribabu B, Richardson RM, Snyderman R. Mechanisms of inflammation and leukocyte activation. Med Clin North Am 1997; 81:1-28. [PMID: 9012753 DOI: 10.1016/s0025-7125(05)70503-4] [Citation(s) in RCA: 62] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This article reviews the current status of the knowledge of mechanisms of activating inflammatory responses. It also describes inflammatory mediators, adhesion proteins, the inflammatory process itself, and the molecular mechanisms controlling inflammatory cell activation and regulation.
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Affiliation(s)
- H Ali
- Department of Medicine and Immunology, School of Medicine, Duke University Medical Center, Durham, North Carolina, USA
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24
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Affiliation(s)
- S H Goey
- Department of Medical Oncology, Rotterdam Cancer Institute (Daniel den Hoed Kliniek), The Netherlands
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25
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Dührsen U, Knieling G, Beecken W, Neumann S, Hossfeld DK. Chimaeric cultures of human marrow stroma and murine leukaemia cells: evidence for abnormalities in the haemopoietic microenvironment in myeloid malignancies and other infiltrating marrow disorders. Br J Haematol 1995; 90:502-11. [PMID: 7646986 DOI: 10.1111/j.1365-2141.1995.tb05576.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
PGM-1 is a transplantable C3H/HeJ leukaemia which is not viable in unstimulated in vitro culture, differentiates into mature granulocytes and macrophages in response to soluble cytokines, and undergoes self-renewing cell divisions in coculture with selected human bone marrow stromal cell lines. When PGM-1 cells were cultured on pre-established adherent layers from primary human marrow samples, their fate depended on the source of the human marrow. Adherent layers from healthy marrow donors or patients with reactive marrow alterations had no or very little capacity to maintain PGM-1 cells in an immature colony-forming state. However, in coculture with adherent layers from patients with myeloid leukaemia or, to a lesser extent, lymphoblastic leukaemia or marrow-infiltrating lymphoma the colony-forming potential was retained. There was no correlation between the remission status of the patient and the PGM-1 activity of the adherent layer. Consistent morphological differences between active and inactive stromal layers were not observed. The PGM-1 coculture system enables the detection of a hitherto undescribed regulatory abnormality in bone marrow malignancies. Whether the PGM-1 supporting activity is mediated through differences in the production of a cytokine with close homology to complement factor Bb which has recently been shown to induce self-renewal in immature PGM-1 cells, requires further investigation.
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Affiliation(s)
- U Dührsen
- Abteilung für Onkologie und Hämatologie, Medizinische Klinik, Universitätskrankenhaus Eppendorf, Hamburg, Germany
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26
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Luger TA, Schwarz T. The role of cytokines and neuroendocrine hormones in cutaneous immunity and inflammation. Allergy 1995; 50:292-302. [PMID: 7573811 DOI: 10.1111/j.1398-9995.1995.tb01151.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- T A Luger
- Department of Dermatology, University of Münster, Germany
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27
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Banchereau J, Brière F, Liu YJ, Rousset F. Molecular control of B lymphocyte growth and differentiation. Stem Cells 1994; 12:278-88. [PMID: 7521239 DOI: 10.1002/stem.5530120304] [Citation(s) in RCA: 61] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
During antigen driven immune responses, antigen-specific naive B lymphocytes undergo a cascade of events including activation, expansion, mutations, isotype switch, selections and differentiation into either antibody secreting plasma cells or memory B cells. These antigen-dependent events, which we propose to call immunopoiesis, occur in different areas of secondary lymphoid organs, as well as other nonlymphoid organs. B cells interact with antigens and numerous cell types (T cells, dendritic cells, follicular dendritic cells and macrophages) through numerous cell surface molecules and cytokines. B cells costimulated through their antigen receptor and cytokines such as interleukin 2 (IL-2), IL-4 and IL-10 undergo limited proliferation and differentiation into immunoglobulin (Ig) secreting cells. In contrast, crosslinking of the B cell CD40 antigen, a member of the tumor necrosis factor (TNF) receptor family, results in major cellular activation further modulated by cytokines. In particular, IL-4 and IL-13 permit establishment of long-term factor-dependent B cell lines, as well as isotype switch towards the production of IgE and IgG4. Addition of IL-10 to CD40-activated B cells results in limited proliferation and remarkable differentiation into plasma cells. IL-10 also participates in isotype switch towards IgG1, IgG3 and IgA. The ligand for CD40, a member of the TNF family, is transiently expressed on activated T cells, and interrupted CD40/CD40-L interactions result in profoundly altered humoral immune responses.
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Affiliation(s)
- J Banchereau
- Schering-Plough, Laboratory for Immunological Research, Dardilly, France
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