1
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Cardenas R, Prinsley P, Philpott C, Bhutta MF, Wilson E, Brewer DS, Jennings BA. Whole exome sequencing study identifies candidate loss of function variants and locus heterogeneity in familial cholesteatoma. PLoS One 2023; 18:e0272174. [PMID: 36920900 PMCID: PMC10016674 DOI: 10.1371/journal.pone.0272174] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 02/08/2023] [Indexed: 03/16/2023] Open
Abstract
Cholesteatoma is a rare progressive disease of the middle ear. Most cases are sporadic, but some patients report a positive family history. Identifying functionally important gene variants associated with this disease has the potential to uncover the molecular basis of cholesteatoma pathology with implications for disease prevention, surveillance, or management. We performed an observational WES study of 21 individuals treated for cholesteatoma who were recruited from ten multiply affected families. These family studies were complemented with gene-level mutational burden analysis. We also applied functional enrichment analyses to identify shared properties and pathways for candidate genes and their products. Filtered data collected from pairs and trios of participants within the ten families revealed 398 rare, loss of function (LOF) variants co-segregating with cholesteatoma in 389 genes. We identified six genes DENND2C, DNAH7, NBEAL1, NEB, PRRC2C, and SHC2, for which we found LOF variants in two or more families. The parallel gene-level analysis of mutation burden identified a significant mutation burden for the genes in the DNAH gene family, which encode products involved in ciliary structure. Functional enrichment analyses identified common pathways for the candidate genes which included GTPase regulator activity, calcium ion binding, and degradation of the extracellular matrix. The number of candidate genes identified and the locus heterogeneity that we describe within and between multiply affected families suggest that the genetic architecture for familial cholesteatoma is complex.
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Affiliation(s)
- Ryan Cardenas
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Peter Prinsley
- ENT Department, James Paget University Hospitals NHS Foundation Trust, Great Yarmouth, Norfolk, United Kingdom
| | - Carl Philpott
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Mahmood F. Bhutta
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, United Kingdom
- ENT Department, Royal Sussex County Hospital, Brighton, United Kingdom
| | - Emma Wilson
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Daniel S. Brewer
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
- Earlham Institute, Norwich Research Park, Norwich, United Kingdom
- * E-mail: (BAJ); (DSB)
| | - Barbara A. Jennings
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
- * E-mail: (BAJ); (DSB)
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2
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Gihawi A, Cardenas R, Hurst R, Brewer DS. Quality Control in Metagenomics Data. Methods Mol Biol 2023; 2649:21-54. [PMID: 37258856 DOI: 10.1007/978-1-0716-3072-3_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Experiments involving metagenomics data are become increasingly commonplace. Processing such data requires a unique set of considerations. Quality control of metagenomics data is critical to extracting pertinent insights. In this chapter, we outline some considerations in terms of study design and other confounding factors that can often only be realized at the point of data analysis.In this chapter, we outline some basic principles of quality control in metagenomics, including overall reproducibility and some good practices to follow. The general quality control of sequencing data is then outlined, and we introduce ways to process this data by using bash scripts and developing pipelines in Snakemake (Python).A significant part of quality control in metagenomics is in analyzing the data to ensure you can spot relationships between variables and to identify when they might be confounded. This chapter provides a walkthrough of analyzing some microbiome data (in the R statistical language) and demonstrates a few days to identify overall differences and similarities in microbiome data. The chapter is concluded by discussing remarks about considering taxonomic results in the context of the study and interrogating sequence alignments using the command line.
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Affiliation(s)
- Abraham Gihawi
- Bob Champion Research & Education Building, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Ryan Cardenas
- Bob Champion Research & Education Building, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Rachel Hurst
- Bob Champion Research & Education Building, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Daniel S Brewer
- Bob Champion Research & Education Building, Norwich Medical School, University of East Anglia, Norwich, UK.
- Earlham Institute, Norwich Research Park, Norwich, UK.
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3
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Wardale L, Cardenas R, Gnanapragasam VJ, Cooper CS, Clark J, Brewer DS. Combining Molecular Subtypes with Multivariable Clinical Models Has the Potential to Improve Prediction of Treatment Outcomes in Prostate Cancer at Diagnosis. Curr Oncol 2022; 30:157-170. [PMID: 36661662 PMCID: PMC9857957 DOI: 10.3390/curroncol30010013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
Clinical management of prostate cancer is challenging because of its highly variable natural history and so there is a need for improved predictors of outcome in non-metastatic men at the time of diagnosis. In this study we calculated the model score from the leading clinical multivariable model, PREDICT prostate, and the poor prognosis DESNT molecular subtype, in a combined expression and clinical dataset that were taken from malignant tissue at prostatectomy (n = 359). Both PREDICT score (p < 0.0001, IQR HR = 1.59) and DESNT score (p < 0.0001, IQR HR = 2.08) were significant predictors for time to biochemical recurrence. A joint model combining the continuous PREDICT and DESNT score (p < 0.0001, IQR HR = 1.53 and 1.79, respectively) produced a significantly improved predictor than either model alone (p < 0.001). An increased probability of mortality after diagnosis, as estimated by PREDICT, was characterised by upregulation of cell-cycle related pathways and the downregulation of metabolism and cholesterol biosynthesis. The DESNT molecular subtype has distinct biological characteristics to those associated with the PREDICT model. We conclude that the inclusion of biological information alongside current clinical prognostic tools has the potential to improve the ability to choose the optimal treatment pathway for a patient.
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Affiliation(s)
- Lewis Wardale
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
| | - Ryan Cardenas
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
| | - Vincent J. Gnanapragasam
- Department of Urology, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
- Division of Urology, Department of Surgery, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Colin S. Cooper
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
| | - Jeremy Clark
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
| | - Daniel S. Brewer
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
- The Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK
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4
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Ball RY, Cardenas R, Winterbone MS, Hanna MY, Parker C, Hurst R, Brewer DS, D’Sa L, Mills R, Cooper CS, Clark J. The Urine Biomarker PUR-4 Is Positively Associated with the Amount of Gleason 4 in Human Prostate Cancers. Life (Basel) 2021; 11:life11111172. [PMID: 34833048 PMCID: PMC8622091 DOI: 10.3390/life11111172] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 11/16/2022] Open
Abstract
The Prostate Urine Risk (PUR) biomarker is a four-group classifier for predicting outcome in patients prior to biopsy and for men on active surveillance. The four categories correspond to the probabilities of the presence of normal tissue (PUR-1), D’Amico low-risk (PUR-2), intermediate-risk (PUR-3), and high-risk (PUR-4) prostate cancer. In the current study we investigate how the PUR-4 status is linked to Gleason grade, prostate volume, and tumor volume as assessed from biopsy (n = 215) and prostatectomy (n = 9) samples. For biopsy data PUR-4 status alone was linked to Gleason Grade group (GG) (Spearman’s, ρ = 0.58, p < 0.001 trend). To assess the impact of tumor volume each GG was dichotomized into Small and Large volume cancers relative to median volume. For GG1 (Gleason Pattern 3 + 3) cancers volume had no impact on PUR-4 status. In contrast for GG2 (3 + 4) and GG3 (4 + 3) cancers PUR-4 levels increased in large volume cancers with statistical significance observed for GG2 (p = 0.005; Games-Howell). These data indicated that PUR-4 status is linked to the presence of Gleason Pattern 4. To test this observation tumor burden and Gleason Pattern were assessed in nine surgically removed and sectioned prostates allowing reconstruction of 3D maps. PUR-4 was not correlated with Gleason Pattern 3 amount, total tumor volume or prostate size. A strong correlation was observed between amount of Gleason Pattern 4 tumor and PUR-4 signature (r = 0.71, p = 0.034, Pearson’s). These observations shed light on the biological significance of the PUR biomarker and support its use as a non-invasive means of assessing the presence of clinically significant prostate cancer.
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Affiliation(s)
- Richard Y. Ball
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich NR4 7UY, UK; (R.Y.B.); (L.D.); (R.M.)
| | - Ryan Cardenas
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.C.); (M.S.W.); (R.H.); (D.S.B.); (C.S.C.)
| | - Mark S. Winterbone
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.C.); (M.S.W.); (R.H.); (D.S.B.); (C.S.C.)
| | - Marcelino Y. Hanna
- Urology Department Castle Hill, Hull University Teaching Hospital, Castle Rd, Cottingham HU16 5JQ, UK;
| | - Chris Parker
- Institute of Cancer Research, Sutton SM2 5NG, UK;
- Royal Marsden Hospital, Sutton SM2 5PT, UK
| | - Rachel Hurst
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.C.); (M.S.W.); (R.H.); (D.S.B.); (C.S.C.)
| | - Daniel S. Brewer
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.C.); (M.S.W.); (R.H.); (D.S.B.); (C.S.C.)
- Earlham Institute, Norwich NR4 7UZ, UK
| | - Lauren D’Sa
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich NR4 7UY, UK; (R.Y.B.); (L.D.); (R.M.)
| | - Rob Mills
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich NR4 7UY, UK; (R.Y.B.); (L.D.); (R.M.)
| | - Colin S. Cooper
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.C.); (M.S.W.); (R.H.); (D.S.B.); (C.S.C.)
| | - Jeremy Clark
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.C.); (M.S.W.); (R.H.); (D.S.B.); (C.S.C.)
- Correspondence:
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5
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Ramilowski JA, Yip CW, Agrawal S, Chang JC, Ciani Y, Kulakovskiy IV, Mendez M, Ooi JLC, Ouyang JF, Parkinson N, Petri A, Roos L, Severin J, Yasuzawa K, Abugessaisa I, Akalin A, Antonov IV, Arner E, Bonetti A, Bono H, Borsari B, Brombacher F, Cameron CJ, Cannistraci CV, Cardenas R, Cardon M, Chang H, Dostie J, Ducoli L, Favorov A, Fort A, Garrido D, Gil N, Gimenez J, Guler R, Handoko L, Harshbarger J, Hasegawa A, Hasegawa Y, Hashimoto K, Hayatsu N, Heutink P, Hirose T, Imada EL, Itoh M, Kaczkowski B, Kanhere A, Kawabata E, Kawaji H, Kawashima T, Kelly ST, Kojima M, Kondo N, Koseki H, Kouno T, Kratz A, Kurowska-Stolarska M, Kwon ATJ, Leek J, Lennartsson A, Lizio M, López-Redondo F, Luginbühl J, Maeda S, Makeev VJ, Marchionni L, Medvedeva YA, Minoda A, Müller F, Muñoz-Aguirre M, Murata M, Nishiyori H, Nitta KR, Noguchi S, Noro Y, Nurtdinov R, Okazaki Y, Orlando V, Paquette D, Parr CJ, Rackham OJ, Rizzu P, Martinez DFS, Sandelin A, Sanjana P, Semple CA, Shibayama Y, Sivaraman DM, Suzuki T, Szumowski SC, Tagami M, Taylor MS, Terao C, Thodberg M, Thongjuea S, Tripathi V, Ulitsky I, Verardo R, Vorontsov IE, Yamamoto C, Young RS, Baillie JK, Forrest AR, Guigó R, Hoffman MM, Hon CC, Kasukawa T, Kauppinen S, Kere J, Lenhard B, Schneider C, Suzuki H, Yagi K, de Hoon MJ, Shin JW, Carninci P. Corrigendum: Functional annotation of human long noncoding RNAs via molecular phenotyping. Genome Res 2020. [DOI: 10.1101/gr.270330.120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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6
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Ramilowski JA, Yip CW, Agrawal S, Chang JC, Ciani Y, Kulakovskiy IV, Mendez M, Ooi JLC, Ouyang JF, Parkinson N, Petri A, Roos L, Severin J, Yasuzawa K, Abugessaisa I, Akalin A, Antonov IV, Arner E, Bonetti A, Bono H, Borsari B, Brombacher F, Cameron CJF, Cannistraci CV, Cardenas R, Cardon M, Chang H, Dostie J, Ducoli L, Favorov A, Fort A, Garrido D, Gil N, Gimenez J, Guler R, Handoko L, Harshbarger J, Hasegawa A, Hasegawa Y, Hashimoto K, Hayatsu N, Heutink P, Hirose T, Imada EL, Itoh M, Kaczkowski B, Kanhere A, Kawabata E, Kawaji H, Kawashima T, Kelly ST, Kojima M, Kondo N, Koseki H, Kouno T, Kratz A, Kurowska-Stolarska M, Kwon ATJ, Leek J, Lennartsson A, Lizio M, López-Redondo F, Luginbühl J, Maeda S, Makeev VJ, Marchionni L, Medvedeva YA, Minoda A, Müller F, Muñoz-Aguirre M, Murata M, Nishiyori H, Nitta KR, Noguchi S, Noro Y, Nurtdinov R, Okazaki Y, Orlando V, Paquette D, Parr CJC, Rackham OJL, Rizzu P, Sánchez Martinez DF, Sandelin A, Sanjana P, Semple CAM, Shibayama Y, Sivaraman DM, Suzuki T, Szumowski SC, Tagami M, Taylor MS, Terao C, Thodberg M, Thongjuea S, Tripathi V, Ulitsky I, Verardo R, Vorontsov IE, Yamamoto C, Young RS, Baillie JK, Forrest ARR, Guigó R, Hoffman MM, Hon CC, Kasukawa T, Kauppinen S, Kere J, Lenhard B, Schneider C, Suzuki H, Yagi K, de Hoon MJL, Shin JW, Carninci P. Functional annotation of human long noncoding RNAs via molecular phenotyping. Genome Res 2020; 30:1060-1072. [PMID: 32718982 PMCID: PMC7397864 DOI: 10.1101/gr.254219.119] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 06/24/2020] [Indexed: 12/12/2022]
Abstract
Long noncoding RNAs (lncRNAs) constitute the majority of transcripts in the mammalian genomes, and yet, their functions remain largely unknown. As part of the FANTOM6 project, we systematically knocked down the expression of 285 lncRNAs in human dermal fibroblasts and quantified cellular growth, morphological changes, and transcriptomic responses using Capped Analysis of Gene Expression (CAGE). Antisense oligonucleotides targeting the same lncRNAs exhibited global concordance, and the molecular phenotype, measured by CAGE, recapitulated the observed cellular phenotypes while providing additional insights on the affected genes and pathways. Here, we disseminate the largest-to-date lncRNA knockdown data set with molecular phenotyping (over 1000 CAGE deep-sequencing libraries) for further exploration and highlight functional roles for ZNF213-AS1 and lnc-KHDC3L-2.
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Affiliation(s)
- Jordan A Ramilowski
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Chi Wai Yip
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Saumya Agrawal
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Jen-Chien Chang
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Yari Ciani
- Laboratorio Nazionale Consorzio Interuniversitario Biotecnologie (CIB), Trieste 34127, Italy
| | - Ivan V Kulakovskiy
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia.,Institute of Protein Research, Russian Academy of Sciences, Pushchino 142290, Russia
| | - Mickaël Mendez
- Department of Computer Science, University of Toronto, Toronto, Ontario M5S 1A1, Canada
| | | | - John F Ouyang
- Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore Medical School, Singapore 169857, Singapore
| | - Nick Parkinson
- Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, United Kingdom
| | - Andreas Petri
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, Copenhagen 9220, Denmark
| | - Leonie Roos
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom.,Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London W12 0NN, United Kingdom
| | - Jessica Severin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Kayoko Yasuzawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Imad Abugessaisa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Altuna Akalin
- Berlin Institute for Medical Systems Biology, Max Delbrük Center for Molecular Medicine in the Helmholtz Association, Berlin 13125, Germany
| | - Ivan V Antonov
- Institute of Bioengineering, Research Center of Biotechnology, Russian Academy of Sciences, Moscow 117312, Russia
| | - Erik Arner
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Alessandro Bonetti
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Hidemasa Bono
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima City 739-0046, Japan
| | - Beatrice Borsari
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08003, Spain
| | - Frank Brombacher
- International Centre for Genetic Engineering and Biotechnology (ICGEB), University of Cape Town, Cape Town 7925, South Africa.,Institute of Infectious Diseases and Molecular Medicine (IDM), Department of Pathology, Division of Immunology and South African Medical Research Council (SAMRC) Immunology of Infectious Diseases, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Christopher JF Cameron
- School of Computer Science, McGill University, Montréal, Québec H3G 1Y6, Canada.,Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Center, McGill University, Montréal, Québec H3G 1Y6, Canada.,Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06510, USA
| | - Carlo Vittorio Cannistraci
- Biomedical Cybernetics Group, Biotechnology Center (BIOTEC), Center for Molecular and Cellular Bioengineering (CMCB), Center for Systems Biology Dresden (CSBD), Cluster of Excellence Physics of Life (PoL), Department of Physics, Technische Universität Dresden, Dresden 01062, Germany.,Center for Complex Network Intelligence (CCNI) at the Tsinghua Laboratory of Brain and Intelligence (THBI), Department of Bioengineering, Tsinghua University, Beijing 100084, China
| | - Ryan Cardenas
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Melissa Cardon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Howard Chang
- Center for Personal Dynamic Regulome, Stanford University, Stanford, California 94305, USA
| | - Josée Dostie
- Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Center, McGill University, Montréal, Québec H3G 1Y6, Canada
| | - Luca Ducoli
- Institute of Pharmaceutical Sciences, Swiss Federal Institute of Technology, Zurich 8093, Switzerland
| | - Alexander Favorov
- Department of Computational Systems Biology, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia.,Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21287, USA
| | - Alexandre Fort
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Diego Garrido
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08003, Spain
| | - Noa Gil
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Juliette Gimenez
- Epigenetics and Genome Reprogramming Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
| | - Reto Guler
- International Centre for Genetic Engineering and Biotechnology (ICGEB), University of Cape Town, Cape Town 7925, South Africa.,Institute of Infectious Diseases and Molecular Medicine (IDM), Department of Pathology, Division of Immunology and South African Medical Research Council (SAMRC) Immunology of Infectious Diseases, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Lusy Handoko
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Jayson Harshbarger
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Akira Hasegawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Yuki Hasegawa
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Kosuke Hashimoto
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Norihito Hayatsu
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Peter Heutink
- Genome Biology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Tübingen 72076, Germany
| | - Tetsuro Hirose
- Graduate School of Frontier Biosciences, Osaka University, Suita 565-0871, Japan
| | - Eddie L Imada
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21287, USA
| | - Masayoshi Itoh
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Preventive Medicine and Diagnosis Innovation Program (PMI), Saitama 351-0198, Japan
| | - Bogumil Kaczkowski
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Aditi Kanhere
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Emily Kawabata
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Hideya Kawaji
- RIKEN Preventive Medicine and Diagnosis Innovation Program (PMI), Saitama 351-0198, Japan
| | - Tsugumi Kawashima
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - S Thomas Kelly
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Miki Kojima
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Naoto Kondo
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Haruhiko Koseki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Tsukasa Kouno
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Anton Kratz
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Mariola Kurowska-Stolarska
- Institute of Infection, Immunity, and Inflammation, University of Glasgow, Glasgow, Scotland G12 8QQ, United Kingdom
| | - Andrew Tae Jun Kwon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Jeffrey Leek
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21287, USA
| | - Andreas Lennartsson
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge 14157, Sweden
| | - Marina Lizio
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Fernando López-Redondo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Joachim Luginbühl
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Shiori Maeda
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Vsevolod J Makeev
- Department of Computational Systems Biology, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia.,Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia
| | - Luigi Marchionni
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21287, USA
| | - Yulia A Medvedeva
- Institute of Bioengineering, Research Center of Biotechnology, Russian Academy of Sciences, Moscow 117312, Russia.,Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia
| | - Aki Minoda
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Ferenc Müller
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Manuel Muñoz-Aguirre
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08003, Spain
| | - Mitsuyoshi Murata
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Hiromi Nishiyori
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Kazuhiro R Nitta
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Shuhei Noguchi
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Yukihiko Noro
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Ramil Nurtdinov
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08003, Spain
| | - Yasushi Okazaki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Valerio Orlando
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Denis Paquette
- Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Center, McGill University, Montréal, Québec H3G 1Y6, Canada
| | - Callum J C Parr
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Owen J L Rackham
- Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore Medical School, Singapore 169857, Singapore
| | - Patrizia Rizzu
- Genome Biology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Tübingen 72076, Germany
| | | | - Albin Sandelin
- Department of Biology and BRIC, University of Copenhagen, Denmark, Copenhagen N DK2200, Denmark
| | - Pillay Sanjana
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Colin A M Semple
- MRC Human Genetics Unit, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Youtaro Shibayama
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Divya M Sivaraman
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Takahiro Suzuki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | | | - Michihira Tagami
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Martin S Taylor
- MRC Human Genetics Unit, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Chikashi Terao
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Malte Thodberg
- Department of Biology and BRIC, University of Copenhagen, Denmark, Copenhagen N DK2200, Denmark
| | - Supat Thongjuea
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Vidisha Tripathi
- National Centre for Cell Science, Pune, Maharashtra 411007, India
| | - Igor Ulitsky
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Roberto Verardo
- Laboratorio Nazionale Consorzio Interuniversitario Biotecnologie (CIB), Trieste 34127, Italy
| | - Ilya E Vorontsov
- Department of Computational Systems Biology, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia
| | - Chinatsu Yamamoto
- RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Robert S Young
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, United Kingdom
| | - J Kenneth Baillie
- Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, United Kingdom
| | - Alistair R R Forrest
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan.,Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, Western Australia 6009, Australia
| | - Roderic Guigó
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08003, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Catalonia 08002, Spain
| | | | - Chung Chau Hon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Takeya Kasukawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Sakari Kauppinen
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, Copenhagen 9220, Denmark
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge 14157, Sweden.,Stem Cells and Metabolism Research Program, University of Helsinki and Folkhälsan Research Center, 00290 Helsinki, Finland
| | - Boris Lenhard
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom.,Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London W12 0NN, United Kingdom.,Sars International Centre for Marine Molecular Biology, University of Bergen, Bergen N-5008, Norway
| | - Claudio Schneider
- Laboratorio Nazionale Consorzio Interuniversitario Biotecnologie (CIB), Trieste 34127, Italy.,Department of Medicine and Consorzio Interuniversitario Biotecnologie p.zle Kolbe 1 University of Udine, Udine 33100, Italy
| | - Harukazu Suzuki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Ken Yagi
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Michiel J L de Hoon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Jay W Shin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.,RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan
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7
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Shah M, Cardenas R, Wang B, Persson J, Mongan NP, Grabowska A, Allegrucci C. HOXC8 regulates self-renewal, differentiation and transformation of breast cancer stem cells. Mol Cancer 2017; 16:38. [PMID: 28202042 PMCID: PMC5312582 DOI: 10.1186/s12943-017-0605-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Accepted: 01/23/2017] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Homeobox genes are master regulators of cell fate during embryonic development and their expression is altered in cancer. By regulating the balance between cell proliferation and differentiation, they maintain homeostasis of normal tissues. Here, we screened the expression of homeobox genes in mammary stem cells to establish their role in stem cells transformation in breast cancer. METHODS Using a Homeobox Genes PCR array, we screened 83 homeobox genes in normal cancer breast stem/progenitor cells isolated by flow cytometry. The candidate gene HOXC8 epigenetic regulation was studied by DNA methylation and miRNA expression analyses. Self-renewal and differentiation of HOXC8-overexpressing or knockdown cells were assessed by flow cytometry and mammosphere, 3D matrigel and soft agar assays. Clinical relevance of in vitro findings were validated by bioinformatics analysis of patient datasets from TCGA and METABRIC studies. RESULTS In this study we demonstrate altered expression of homeobox genes in breast cancer stem/progenitor cells. HOXC8 was consistently downregulated in stem/progenitor cells of all breast molecular subtypes, thus representing an interesting tumour suppressor candidate. We show that downregulated expression of HOXC8 is associated with DNA methylation at the gene promoter and expression of miR196 family members. Functional studies demonstrated that HOXC8 gain of function induces a decrease in the CD44+/CD24-/low cancer stem cell population and proportion of chemoresistant cells, with a concomitant increase in CD24+ differentiated cells. Increased HOXC8 levels also decrease the ability of cancer cells to form mammospheres and to grow in anchorage-independent conditions. Furthermore, loss of HOXC8 in non-tumorigenic mammary epithelial cells expands the cancer stem/progenitor cells pool, increases stem cell self-renewal, prevents differentiation induced by retinoic acid and induces a transformed phenotype. CONCLUSIONS Taken together, our study points to an important role of homeobox genes in breast cancer stem/progenitor cell function and establishes HOXC8 as a suppressor of stemness and transformation in the mammary gland lineage.
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Affiliation(s)
- Mansi Shah
- SVMS, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK
| | - Ryan Cardenas
- SVMS, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK
| | - Belinda Wang
- SVMS, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK
| | - Jenny Persson
- Department of Translational Medicine, Lund University, Malmö, 205 02, Sweden.,Department of Molecular Biology, Umeå University, 901 87, Umeå, Sweden
| | - Nigel P Mongan
- SVMS, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK.,Department of Pharmacology, Weill Cornell Medicine, 1300 York Ave., New York, NY, 10065, USA
| | - Anna Grabowska
- Cancer Biology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, QMC, Nottingham, NG7 2UH, UK
| | - Cinzia Allegrucci
- SVMS, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK.
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8
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Beisani M, Roca I, Cardenas R, Blanco L, Abu-Suboh M, Dot J, Armengol J, Olsina J, Balsells J, Charco R, Castell J. Initial experience in sentinel lymph node detection in pancreatic cancer. Rev Esp Med Nucl Imagen Mol 2016. [DOI: 10.1016/j.remnie.2015.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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9
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Beisani M, Roca I, Cardenas R, Blanco L, Abu-Suboh M, Dot J, Armengol JR, Olsina JJ, Balsells J, Charco R, Castell J. Initial experience in sentinel lymph node detection in pancreatic cancer. Rev Esp Med Nucl Imagen Mol 2015; 35:287-91. [PMID: 26670326 DOI: 10.1016/j.remn.2015.10.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Revised: 10/06/2015] [Accepted: 10/08/2015] [Indexed: 11/30/2022]
Abstract
BACKGROUND The local recurrence of pancreatic cancer is around 30% when complete resection can be achieved. Extended lymphatic resections may improve survival, but increases severe morbidity. As accurate patient selection should be mandatory, a new method is presented for pancreatic sentinel lymph node (SLN) detection with lymphoscintigraphy and gamma probe. MATERIALS AND METHODS Seven patients with cT2N0M0 pancreatic head cancer were enrolled between 2009 and 2012 in this prospective study. One day prior to surgery, preoperative lymphoscintigraphy with echoendoscopic intratumoural administration of Tc(99m)-labelled nanocolloid was performed, with planar and SPECT-CT images obtained 2h later. Gamma probe detection of SLN was also carried out during surgery. RESULTS Radiotracer administration was feasible in all patients. Scintigraphy images showed inter-aortocaval lymph nodes in 2 patients, hepatoduodenal ligament lymph nodes in 1, intravascular injection in 3, intestinal transit in 5, and main pancreatic duct visualisation in 1. Surgical resection could only be achieved in 4 patients owing to locally advanced disease. Intraoperative SLN detection was accomplished in 2 patients, both with negative results. Only in one patient could SLN be confirmed as truly negative by final histopathological analysis. CONCLUSIONS This new method of pancreatic SLN detection is technically feasible, but challenging. Our preliminary results with 7 patients are not sufficient for clinical validation.
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Affiliation(s)
- M Beisani
- Department of HPB Surgery, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain.
| | - I Roca
- Department of Nuclear Medicine, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain.
| | - R Cardenas
- Department of Nuclear Medicine, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
| | - L Blanco
- Department of HPB Surgery, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
| | - M Abu-Suboh
- Department of Digestive Endoscopy, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
| | - J Dot
- Department of Digestive Endoscopy, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
| | - J R Armengol
- Department of Digestive Endoscopy, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
| | - J J Olsina
- Department of Surgery, Hospital Arnau de Vilanova, University of Lleida, Lleida, Spain
| | - J Balsells
- Department of HPB Surgery, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
| | - R Charco
- Department of HPB Surgery, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
| | - J Castell
- Department of Nuclear Medicine, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
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10
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Leon J, Cardenas R, Zapata M, Velasco L. OT-06 * MULTICENTRIC PRIMARY CENTRAL NERVOUS SYSTEM DIFFUSE LARGE B CELL LYMPHOMA IN AN INMUNOCOMPETENT ADOLESCENT, CASE REPORT. Neuro Oncol 2015. [DOI: 10.1093/neuonc/nov061.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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11
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de Brot S, Ntekim A, Cardenas R, James V, Allegrucci C, Heery DM, Bates DO, Ødum N, Persson JL, Mongan NP. Regulation of vascular endothelial growth factor in prostate cancer. Endocr Relat Cancer 2015; 22:R107-23. [PMID: 25870249 DOI: 10.1530/erc-15-0123] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [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] [Accepted: 04/01/2015] [Indexed: 12/14/2022]
Abstract
Prostate cancer (PCa) is the most common malignancy affecting men in the western world. Although radical prostatectomy and radiation therapy can successfully treat PCa in the majority of patients, up to ~30% will experience local recurrence or metastatic disease. Prostate carcinogenesis and progression is typically an androgen-dependent process. For this reason, therapies for recurrent PCa target androgen biosynthesis and androgen receptor function. Such androgen deprivation therapies (ADT) are effective initially, but the duration of response is typically ≤24 months. Although ADT and taxane-based chemotherapy have delivered survival benefits, metastatic PCa remains incurable. Therefore, it is essential to establish the cellular and molecular mechanisms that enable localized PCas to invade and disseminate. It has long been accepted that metastases require angiogenesis. In the present review, we examine the essential role for angiogenesis in PCa metastases, and we focus in particular on the current understanding of the regulation of vascular endothelial growth factor (VEGF) in localized and metastatic PCa. We highlight recent advances in understanding the role of VEGF in regulating the interaction of cancer cells with tumor-associated immune cells during the metastatic process of PCa. We summarize the established mechanisms of transcriptional and post-transcriptional regulation of VEGF in PCa cells and outline the molecular insights obtained from preclinical animal models of PCa. Finally, we summarize the current state of anti-angiogenesis therapies for PCa and consider how existing therapies impact VEGF signaling.
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Affiliation(s)
- Simone de Brot
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - Atara Ntekim
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - Ryan Cardenas
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - Victoria James
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - Cinzia Allegrucci
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - David M Heery
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - David O Bates
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - Niels Ødum
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - Jenny L Persson
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
| | - Nigel P Mongan
- Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA Faculty of Medicine and Health SciencesSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UKDepartment of PharmacologySchool of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UKCancer BiologyDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UKDepartment of International HealthImmunology and Microbiology, University of Copenhagen, Copenhagen, DenmarkClinical Research CenterLund University, Malmö, SwedenDepartment of PharmacologyWeill Cornell Medical College, New York, New York 10065, USA
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12
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Mok GF, Cardenas R, Anderton H, Campbell KHS, Sweetman D. Interactions between FGF18 and retinoic acid regulate differentiation of chick embryo limb myoblasts. Dev Biol 2014; 396:214-23. [PMID: 25446536 DOI: 10.1016/j.ydbio.2014.10.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 09/25/2014] [Accepted: 10/10/2014] [Indexed: 10/24/2022]
Abstract
During limb development Pax3 positive myoblasts delaminate from the hypaxial dermomyotome of limb level somites and migrate into the limb bud where they form the dorsal and ventral muscle masses. Only then do they begin to differentiate and express markers of myogenic commitment and determination such as Myf5 and MyoD. However the signals regulating this process remain poorly characterised. We show that FGF18, which is expressed in the distal mesenchyme of the limb bud, induces premature expression of both Myf5 and MyoD and that blocking FGF signalling also inhibits endogenous MyoD expression. This expression is mediated by ERK MAP kinase but not PI3K signalling. We also show that retinoic acid (RA) can inhibit the myogenic activity of FGF18 and that blocking RA signalling allows premature induction of MyoD by FGF18 at HH19. We propose a model where interactions between FGF18 in the distal limb and retinoic acid in the proximal limb regulate the timing of myogenic gene expression during limb bud development.
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Affiliation(s)
- Gi Fay Mok
- Division of Animal Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK
| | - Ryan Cardenas
- Division of Animal Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK
| | - Helen Anderton
- Division of Animal Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK
| | - Keith H S Campbell
- Division of Animal Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK
| | - Dylan Sweetman
- Division of Animal Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK.
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13
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Cardenas R, Sandoval C, Rodriguez-Morales A. P530 Impact of climate variability in the occurrence of leishmaniasis in Southern departments of Colombia. Int J Antimicrob Agents 2007. [DOI: 10.1016/s0924-8579(07)70373-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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14
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Cardenas R, Sandoval CM, Rodriguez-Morales AJ, Bendezu H, Gonzalez A, Briceño A, De-La-Paz-Pineda J, Rojas EM, Scorza JV. Epidemiology of American tegumentary leishmaniasis in domestic dogs in an endemic zone of western Venezuela. Bull Soc Pathol Exot 2006; 99:355-8. [PMID: 17253053] [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: 05/13/2023]
Abstract
Domestic dogs are not only reservoir hosts of the American zoonotic visceral leishmaniasis (ZVL) but of the American zoonotic tegumentary leishmaniasis (ATL) as well, for different reasons. However it is still controversial to state that dogs are incriminated as ATL reservoir hosts as there is evidence that humans and dogs are likely to be exposed in the same way to sandfly vector. In Venezuela this issue has not been completely addressed, for this reason we selected a location inside Trujillo city to study eco-epidemiological conditions as well as to survey a significant sample of dogs by Montenegro Skin Test (MST). Antigen was prepared according to standard procedure using Leishmania (V) braziliensis promastigotes (80 microg/ml); response was read 48 hours post-inoculation with an induration size > 5 mm being considered as positive. The study place is an endemic mountainous semi-urban area located at 850-950 masl with an average rainfall of 150 mm/year. We evaluated 61 dogs in 46 houses with 168 human beings. Among the human population 27 cases of ATL were reported (16.1%). With the MST we found 19 positive-reaction dogs (31%) (mean MST size of 9.58 mm, 95% CI: 8.41-10.75) in 13 houses (28%). Multivariate analysis did not reveal significant association between domestic MST positive-dog ownership and human ATL cases (RR = 1.48, p = 0.28). Although some studies have indicated that dog ownership and dog infection rates are associated with an increased risk of human disease in different evaluated places, this question has not been completely answered in Venezuelan studied zones, further research is necessary.
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Affiliation(s)
- R Cardenas
- Experimental Institute Jose-Witremundo-Torrealba, Universidad de Los Andes, Trujillo, Venezuela
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15
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Abstract
Viscoelastic changes of the lamellipodial actin cytoskeleton are a fundamental element of cell motility. Thus, the correlation between the local viscoelastic properties of the lamellipodium (including the transitional region to the cell body) and the speed of lamellipodial extension is studied for normal and malignantly transformed fibroblasts. Using our atomic force microscopy-based microrheology technique, we found different mechanical properties between the lamellipodia of malignantly transformed fibroblasts (H-ras transformed and SV-T2 fibroblasts) and normal fibroblasts (BALB 3T3 fibroblasts). The average elastic constants, K, in the leading edge of SV-T2 fibroblasts (0.48 +/- 0.51 kPa) and of H-ras transformed fibroblasts (0.42 +/- 0.35 kPa) are significantly lower than that of BALB 3T3 fibroblasts (1.01 +/- 0.40 kPa). The analysis of time-lapse phase contrast images shows that the decrease in the elastic constant, K, for malignantly transformed fibroblasts is correlated with the enhanced motility of the lamellipodium. The measured mean speeds are 6.1 +/- 4.5 microm/h for BALB 3T3 fibroblasts, 13.1 +/- 5.2 microm/h for SV-T2 fibroblasts, and 26.2 +/- 11.5 microm/h for H-ras fibroblasts. Furthermore, the elastic constant, K, increases toward the cell body in many instances which coincide with an increase in actin filament density toward the cell body. The correlation between the enhanced motility and the decrease in viscoelastic moduli supports the Elastic Brownian Ratchet model for driving lamellipodia extension.
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Affiliation(s)
- S Park
- Department of Physics, Texas Materials Institute, and Center for Nano and Molecular Science, University of Texas, Austin, Texas 78712, USA.
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Alarcon-Rozas AE, Villacres K, Cardenas R. Perceptions of breast and cervix cancer prevention in two populations of women in Peru: Impact of knowledge and access to health service. J Clin Oncol 2005. [DOI: 10.1200/jco.2005.23.16_suppl.6120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- A. E. Alarcon-Rozas
- Hosp Almenara, Lima, Peru; Hosp Carrion, Lima, Peru; Hosp Militar Central, Lima, Peru
| | - K. Villacres
- Hosp Almenara, Lima, Peru; Hosp Carrion, Lima, Peru; Hosp Militar Central, Lima, Peru
| | - R. Cardenas
- Hosp Almenara, Lima, Peru; Hosp Carrion, Lima, Peru; Hosp Militar Central, Lima, Peru
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Cardenas R, Fernandez-ham P. [Reductions in mortality]. Demos 2002:11-2. [PMID: 12158079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
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18
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Tapia O, Cardenas R, Andres J, Colonna-Cesari F. Transition structure for hydride transfer to pyridinium cation from methanolate. Modeling of LADH catalyzed reaction. J Am Chem Soc 2002. [DOI: 10.1021/ja00220a058] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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19
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Jacob O, Cardenas R, Tapia O. An ab initio study of transition structures and associated products in [ZnOHCO2]+, [ZnHCO3H2O]+, and [Zn(NH3)3HCO3]+ hypersurfaces. On the role of zinc in the catalytic mechanism of carbonic anhydrase. J Am Chem Soc 2002. [DOI: 10.1021/ja00180a009] [Citation(s) in RCA: 71] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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20
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Tapia O, Lluch JM, Cardenas R, Andres J. Theoretical study of solvation effects on chemical reactions. A combined quantum chemical/Monte Carlo study of the Meyer-Schuster reaction mechanism in water. J Am Chem Soc 2002. [DOI: 10.1021/ja00185a007] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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21
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Andres J, Cardenas R, Silla E, Tapia O. A theoretical study of the Meyer-Schuster reaction mechanism: minimum-energy profile and properties of transition-state structure. J Am Chem Soc 2002. [DOI: 10.1021/ja00211a002] [Citation(s) in RCA: 63] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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22
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Milkiewicz P, Roma MG, Cardenas R, Mills CO, Elias E, Coleman R. Effect of tauroursodeoxycholate and S-adenosyl-L-methionine on 17beta-estradiol glucuronide-induced cholestasis. J Hepatol 2001; 34:184-91. [PMID: 11281545 DOI: 10.1016/s0168-8278(00)00066-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [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: 01/21/2023]
Abstract
BACKGROUND/AIMS S-adenosyl-L-methionine (SAMe) and tauroursodeoxycholate (TUDC) exert an additive ameliorating effect on taurolithocholate (TLC)-induced cholestasis. The aims were to investigate the protective effect of SAMe on 17beta-estradiol-glucuronide (17betaEG) cholestasis and to find out whether SAMe and TUDC may exert an additive, ameliorating effect. METHODS Hepatocyte couplet function was assessed by canalicular vacuolar accumulation (cVA) of cholyllysylfluorescein (CLF). Cells were co-treated with 17betaEG and SAMe, TUDC, or both (protection study), or treated with 17betaEG and then with SAMe, TUDC or both (reversion study) before CLF uptake. Couplets were also co-treated with SAMe and dehydroepiandrosterone (DHEA), a competitive substrate for the sulfotransferase involved in 17betaEG detoxification. The effects of 17betaEG, SAMe and TUDC were also examined on intracellular distribution of F-actin. RESULTS Both SAMe and TUDC significantly protected against, and reversed, 17betaEG-induced cholestasis, but their effects were not additive. DHEA abolished the protective effect of SAMe. 17BetaEG did not affect the uptake of CLF into hepatocytes at the concentrations used, and also, it did not affect the intracellular distribution of F-actin. CONCLUSIONS 17BetaEG does not affect the uptake of CLF into hepatocytes. SAMe and TUDC protect and reverse 17betaEG-induced cholestasis, but without an additive effect. Protection by SAMe may involve facilitating the sulfation of 17betaEG.
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Affiliation(s)
- P Milkiewicz
- Liver and Hepatobiliary Unit, Queen Elizabeth Hospital, Birmingham, UK
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23
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Milkiewicz P, Mills CO, Hubscher SG, Cardenas R, Cardenas T, Williams A, Elias E. Visualization of the transport of primary and secondary bile acids across liver tissue in rats: in vivo study with fluorescent bile acids. J Hepatol 2001; 34:4-10. [PMID: 11211906 DOI: 10.1016/s0168-8278(00)00076-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [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: 12/04/2022]
Abstract
BACKGROUND/AIMS Lysyl fluorescein conjugated bile acid analogues (LFCBAA) closely parallel their natural counterparts. To assess LFCBAA as a tool for the visualization of bile acid transport within liver tissue. METHODS Wistar rats were administered physiological concentrations of the primary bile acid analogue cholyllysyl fluoroscein (CLF) and of the secondary bile acid analogue lithocholyllysyl fluorescein (LLF) and serial liver biopsies were taken at fixed intervals. Both compounds were also injected retrogradely into the biliary tree. Frozen sections were examined by fluorescence microscopy. RESULTS Both CLF and LLF were rapidly taken up from sinusoidal blood but differed significantly in their hepatic handling. CLF was rapidly transported into bile, whereas LLF transport was slower and produced significantly more bile duct fluorescence. LLF clearance showed a lobular gradient with last remaining bile acid being confined largely to zone 3. Both compounds were avidly taken up by cholangiocytes after injection intravenously or retrogradely into the biliary tree. CONCLUSIONS Visualization of LFCBAA by fluorescence microscopy may yield further information regarding hepatobiliary bile acid localization during studies of physiological and pathological mechanisms involved in transport of bile acids. The presence of both compounds within cholangiocytes strongly suggests that they may undergo a degree of chole-hepatic recirculation.
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Affiliation(s)
- P Milkiewicz
- Liver Research Laboratories, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK.
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24
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Lin X, Otto CJ, Cardenas R, Peter RE. Somatostatin family of peptides and its receptors in fish. Can J Physiol Pharmacol 2000; 78:1053-66. [PMID: 11149381] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
Somatostatin (SRIF or SS) is a phylogenetically ancient, multigene family of peptides. SRIF-14 is conserved with identical primary structure in species of all classes of vertebrates. The presence of multiple SRIF genes has been demonstrated in a number of fish species and could extend to tetrapods. Three distinct SRIF genes have been identified in goldfish. One of these genes, which encodes [Pro2]SRIF-14, is also present in sturgeon and African lungfish, and is closely associated with amphibian [Pro2,Met13]SRIF-14 gene and mammalian cortistatin gene. The post-translational processing of SRIF precursors could result in multiple forms of mature SRIF peptides, with differential abundance and tissue- or cell type-specific patterns. The main neuroendocrine role of SRIF-14 peptide that has been determined in fish is the inhibition of pituitary growth hormone secretion. The functions of SRIF-14 variant or larger forms of SRIF peptide and the regulation of SRIF gene expression remain to be explored. Type 1 and type 2 SRIF receptors have been identified from goldfish and a type 3 SRIF receptor has been identified from an electric fish. Fish SRIF receptors display considerable homology with mammalian counterparts in terms of primary structure and negative coupling to adenylate cyclase. Although additional types of receptors remain to be determined, identification of the multiple gene family of SRIF peptides and multiple types of SRIF receptors opens a new avenue for the study of physiological roles of SRIF, and the molecular and cellular mechanisms of SRIF action in fish.
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Affiliation(s)
- X Lin
- Department of Biological Sciences, University of Alberta, Edmonton, Canada
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25
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Abstract
Somatostatin (SRIF or SS) exerts diverse inhibitory actions through binding to specific receptors. In this study, a SRIF receptor cDNA was cloned and sequenced from goldfish brain using PCR and cDNA library screening. The cDNA encodes a 380-amino acid goldfish type-two SRIF receptor (designated as sst(2)), with seven putative transmembrane domains (TMD) and YANSCANP motif in the seventh TMD, a signature sequence for the mammalian SRIF receptor (sst) family. In addition, the amino acid sequence of the receptor has 61-62% homology to mammalian sst(2), 41-47% homology to other mammalian sst subtypes and 41-43% homology to recently identified fish sst(1) and sst(3) receptors. Both SRIF-14 and [Pro(2)]SRIF-14, two of the native goldfish SRIF forms, but not a putative goldfish SRIF-28, significantly inhibited forskolin-stimulated adenosine 3':5'-cyclic monophosphate (cAMP) release in COS-7 cells transiently expressing goldfish sst(2), suggesting functional coupling of the receptor to adenylate cyclase. None of the three peptides affected inositol phosphate production in the same receptor expression system. Northern blot showed that mRNA for the sst(2) receptor is widely distributed in goldfish brain, and highly expressed in the pituitary. The decrease in pituitary sst(2) mRNA levels following estradiol implantation suggests the presence of a negative feedback mechanism on sst(2) gene expression.
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Affiliation(s)
- X Lin
- Department of Biological Sciences, University of Alberta, Alta, T6G 2E9, Edmonton, Canada
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26
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Luis J, Carmona A, Delgado J, Cervantes FA, Cardenas R. Parental Behavior of the Volcano Mouse, Neotomodon Alstoni (Rodentia: Muridae), in Captivity. J Mammal 2000. [DOI: 10.1093/jmammal/81.2.600] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Kang ES, Wang YB, Cardenas R, Tevlin MT, Mishra S, Acchiardo SR. Biphasic changes in nitric oxide generation in hemodialyzed patients with end-stage renal disease treated with recombinant human erythropoietin. Am J Med Sci 2000; 319:149-57. [PMID: 10746825 DOI: 10.1097/00000441-200003000-00004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Use of recombinant human erythropoietin (rHuEpo) in patients with end-stage renal disease (ESRD) improves anemia and reduces the need for blood transfusions. However, one third of patients on rHuEpo develop hypertension, aggravation of preexistent hypertension, or other complications. Nitric oxide (NO) plays a role in blood pressure (BP) regulation. Whether rHuEpo treatment in ESRD is accompanied by alterations in NO production was explored in patients undergoing hemodialysis. METHODS Of 121 consecutive patients in a hemodialysis clinic, 107 were treated with rHuEpo and 14 were untreated. Plasma was collected before and after hemodialysis for quantification of nitrite and nitrate (NOx). Findings were correlated with various routinely monitored parameters. RESULTS Predialysis NOx levels were lower in the treated than the untreated group; postdialysis NOx levels were virtually the same. Thus, the change was less in the treated group. Urea reduction ratios (URR) and ultrafiltrate volumes were similar. The mean predialysis systolic BP was higher in the treated group than in the untreated group. The dose of rHuEpo did not correlate with the plasma NOx or the predialysis BPs. No correlation was found between NOx levels and Hb or gender. Of the 107 treated patients, 12 had an increased postdialysis NOx without differences in ultrafiltrate volumes or URR. This group had higher total serum calcium levels, faster pulses, and greater BP reductions than other treated patients. No difference was found in the use of calcium-channel blockers and serum phosphorus and intact parathyroid hormone concentrations did not differ significantly among these groups. CONCLUSIONS Intermittently hemodialyzed ESRD patients treated with rHuEpo accumulate less NOx in the plasma before dialysis but generate more NOx during dialysis than untreated patients. About 11% of treated patients generated excessive amounts of NOx, thereby maintaining plasma concentrations at the predialysis level or higher. This group experienced significant hemodynamic consequences characteristic of the excessive action of NO.
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Affiliation(s)
- E S Kang
- Department of Pediatrics, University of Tennessee, Memphis 38163, USA.
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28
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Abstract
Somatostatin (SRIF) binding sites were characterized in goldfish brain. Binding of (125)I-[Tyr(11)]-SRIF-14 to a brain membrane preparation was found to be saturable, reversible, and time-, temperature-, and pH-dependent. Binding was also displaceable by different forms of SRIF. Under optimal conditions (22 degrees C, pH 7.2), the equilibrium binding of (125)I-[Tyr(11)]-SRIF-14 to goldfish brain membranes was achieved after 60 min incubation. Analysis of saturable equilibrium binding revealed a one-site model fit with K(a) of 1.3 nM. SRIF-14, mammalian SRIF-28, and salmon SRIF-25 displaced (125)I-[Tyr(11)]-SRIF-14 binding with similar affinity, whereas other neuropeptides, e.g., substance P, were unable to displace (125)I-[Tyr(11)]-SRIF-14. Autoradiography studies demonstrated that (125)I-[Tyr(11)]-SRIF-14 binding sites are found throughout the goldfish brain. A high density of (125)I-[Tyr(11)]-SRIF-14 binding sites was found in the forebrain, including the nucleus preopticus, nucleus preopticus periventricularis, nucleus anterioris periventricularis, nucleus lateralis tuberis, nucleus dorsomedialis thalami, nucleus dorsolateralis thalami, nucleus ventromedialis thalami, and nucleus diffusus lobi inferioris. In midbrain, (125)I-[Tyr(11)]-SRIF-14 binding sites were found in the optic tectum. The facial and vagal lobes and the mesencephalic-cerebellar tract were found to have a high density of binding sites. This study provides the first characterization and distribution of specific binding sites for SRIF in a fish brain.
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Affiliation(s)
- R Cardenas
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, T6G 2E9, Canada
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Kang ES, Tevlin MT, Wang YB, Chiang TM, Cardenas R, Myers LK, Acchiardo SR. Hemodialysis hypotension: interaction of inhibitors, iNOS, and the interdialytic period. Am J Med Sci 1999; 317:9-21. [PMID: 9892267 DOI: 10.1097/00000441-199901000-00003] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.8] [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] [Indexed: 11/26/2022]
Abstract
Hypotension during hemodialysis in end-stage renal disease (ESRD) not explained by excessive ultrafiltration has been linked to an apparent increase in the synthesis of nitric oxide (NO). The authors tested whether the induction of NO synthase (iNOS) by cytokines or differences in the concentrations of inhibitors of NOS or both could account for variability in the amount of NO synthesized during hemodialysis. Plasma levels of an inhibitor of NOS, asymmetric dimethylarginine (ADMA), L-arginine, the substrate for NOS, the end-products N02+N03, iNOS activity in circulating buffy coat cells, and their interdialytic changes were measured in 10 patients during three treatments. Predialysis (0') levels of ADMA were markedly elevated with a mean of 0.008+/-0.002 micromol/mL of deproteinized plasma, compared to controls where ADMA is present in trace amounts. ADMA levels from 30 minutes to the end of dialysis correlated directly with the drop in blood pressure (BP), with levels being much higher in patients with severe hypotension. Postdialysis ADMA levels correlated directly with the 0' systolic BP and the drop in BP at the next dialysis treatment. NOS activity was detected in two thirds of the predialysis buffy coat samples, and appeared to increase as dialysis progressed. 0' iNOS activity correlated inversely with the 0' BP, but activities did not differ based on percent drop in BP. iNOS activity in the 0' samples correlated inversely with the time since the last dialysis, reflecting the greater accumulation of dialyzable inhibitors of NOS as the interval is prolonged. The interdialytic change in iNOS activity correlated inversely with the drop in BP. The isoform detected immunochemically in the buffy coat samples had an Mr of 130 kDa and was reactive with antihuman iNOS. Thus, iNOS is already induced in the cells of the buffy coat in many intermittently hemodialyzed ESRD subjects, but its expression may be masked by inhibitors. After 60 minutes of dialysis (too brief a time for the de novo induction of iNOS,) the appearance of or increase in iNOS activity suggests that an inhibitor had been removed. Because ADMA levels are associated with higher predialysis systolic BPs that result in a greater severity of hypotension, reduction in ADMA concentrations would appear to play a major role in the resumption of NO synthesis by various isoforms.
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Affiliation(s)
- E S Kang
- Department of Pediatrics, University of Tennessee, Memphis 38163, USA
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Abstract
BACKGROUND We studied long-term visual acuity in children who had macular hemorrhages at birth. METHODS Of 11 involved children, seven had eye examinations at about age 10. Two were contacted by telephone; two were lost to follow up. RESULTS Of the seven examined children, six had normal visual acuities. One had reduced vision in the eye with the macular hemorrhage, possibly related to deprivation amblyopia secondary to slow resorption of the hemorrhage. The two patients contacted by telephone reported normal vision. CONCLUSION Although macular hemorrhages generally resolve without any lasting damage, the outcome may be less favorable in some patients.
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Affiliation(s)
- J Zwaan
- Department of Ophthalmology, University of Texas Health Science Center at San Antonio, USA
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Watkins MT, al-Badawi H, Cardenas R, Dubois E, Larson DM. Endogenous reactive oxygen metabolites mediate sublethal endothelial cell dysfunction during reoxygenation. J Vasc Surg 1996; 23:95-103. [PMID: 8558747 DOI: 10.1016/s0741-5214(05)80039-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.5] [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] [Indexed: 01/31/2023]
Abstract
PURPOSE Endothelial cells (EC) secrete vasoactive eicosanoids, which maintain organ blood flow. Because EC are a major source of eicosanoids, we studied the effects of reoxygenation on EC prostacyclin production. METHODS Bovine aortic EC cultures were exposed to 2 hours of normoxia, then 1 hour of hypoxia (PO2 = 10 +/- 3.5 mm Hg), followed by 1.5 hours of reoxygenation in either normal medium or medium plus either superoxide dismutase (SOD, 300 units/ml), catalase (1200 units/ml), allopurinol (5.0 x 10(-4) mol/L), or dinitrophenol (10(-4) mol/L). RESULTS Prostacyclin production decreased to 40% (p < 0.05) of basal prostacyclin production after 1 hour of hypoxia. EC reoxygenated with control medium recovered to 48% of basal prostacyclin production. EC reoxygenated in SOD resulted in recovery (p < 0.05) to 154% of basal prostacyclin production after 60 minutes. Catalase treatment resulted in recovery to 105% (p < 0.05) of basal prostacyclin production within 30 minutes of reoxygenation. Allopurinol treatment resulted in 77% recovery (p < 0.05) of basal prostacyclin production only during 30 minutes of reoxygenation. Dinitrophenol treatment resulted in significant (> or = 85%, p < 0.05) sustained recovery of basal prostacyclin production at 30, 60, and 90 minutes of experimental reperfusion. CONCLUSIONS The hypoxia-induced decrease in EC prostacyclin does not recover during reoxygenation. Catalase/SOD allowed return to baseline prostacyclin production during reoxygenation, implicating reactive oxygen metabolites as mediators of decreased eicosanoid biosynthesis. Recovery of prostacyclin production after 60 minutes reoxygenation with dinitrophenol but not allopurinol suggests a mitochondrial origin of the oxygen metabolites responsible for decreased prostacyclin biosynthesis.
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Affiliation(s)
- M T Watkins
- Department of Surgery, Boston University School of Medicine, USA
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Tapia O, Andrés J, Cardenas R. Transition structure for the hydride transfer reaction from formate anion to cyclopropenyl cation: a simple theoretical model for the reaction catalyzed by formate dehydrogenase. Chem Phys Lett 1992. [DOI: 10.1016/0009-2614(92)85221-u] [Citation(s) in RCA: 26] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Oliva B, Wästlund M, Nilsson O, Cardenas R, Querol E, Avilés FX, Tapia O. Stability and fluctuations of the potato carboxypeptidase A protein inhibitor fold: a molecular dynamics study. Biochem Biophys Res Commun 1991; 176:616-21. [PMID: 2025275 DOI: 10.1016/s0006-291x(05)80228-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.5] [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: 12/29/2022]
Abstract
A 120ps non-inertial solvent (NIS) molecular dynamics (MD) trajectory of the potato carboxypeptidase A protein inhibitor (PCI) was calculated and analyzed. It is shown that, in spite of a very low content of regular secondary structure, the PCI fold has a large degree of stability, judged from the fairly good agreement between the average MD and X-ray structures. The N-terminal and C-terminal regions behave differently, both in their isoatomic positional shifts with respect to the X-ray structure, and in atomic fluctuation pattern. Positional shifts up to 9A are detected in the exposed N-terminal region as it folds back on the inhibitor's core. This large deviation is most likely caused by the absence of the receptor protein or by the lack of supporting solvent molecules. In contrast, the C-terminal region, which is the primary contact site with the enzyme, has an average structure similar to the X-ray conformation; this feature is probably due to a hydrogen bond network to the central core of PCI. The C-terminal tail shows larger fluctuations than the core. The secondary contact site retains its structure in this simulation. The results evidence an intrinsically stable PCI fold which favors a spatially well defined, fairly flexible, structuration of the primary and secondary contact sites that optimizes PCI's interaction with its target enzyme.
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Affiliation(s)
- B Oliva
- Department of Physical Chemistry, University of Uppsala, Sweden
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34
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Oliva B, Nilsson O, Wästlund M, Cardenas R, Querol E, Avilés FX, Tapia O. A molecular dynamics study of a model built Pro-36-Gly mutant derived from the potato carboxypeptidase A inhibitor protein. Biochem Biophys Res Commun 1991; 176:627-32. [PMID: 2025277 DOI: 10.1016/s0006-291x(05)80230-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [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: 12/29/2022]
Abstract
A 120ps molecular dynamics (MD) trajectory was calculated and analyzed for a putative Pro-36-Gly mutant of the potato carboxypeptidase A (CPA) protein inhibitor (PCIm). The mutant protein's fold shows a large degree of stability, judged from its low alpha-carbon r.m.s. deviation from the X-ray structure of the wild type PCI (PCIw). The N-terminal tail of PCIm differs slightly less from the X-ray structure than it does in PCIw, while the mutant's C-terminal tail (the primary contact site with CPA) and residues 13-17 present deviations as they approach each other. Differences in fluctuation pattern exist between PCIm and PCIw in residues 2-4 (the N-terminal tail), 13-17, 22-23, 28-31 (the secondary contact site with CPA) and 37-38 (the C-terminal tail); the latter region is rigidified in PCIm. Results show that the MD method is able to sense local perturbative effects produced by amino acid substitutions in flexible regions of protein molecules. The simulation suggests that the conformation of the C-terminal tail is less favorable for interaction with the target protein in the mutant than it is in the wild type protein. The Pro-36-Gly mutant is predicted to be a less potent inhibitor.
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Affiliation(s)
- B Oliva
- Department of Physical Chemistry, University of Uppsala, Sweden
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Hurtado R, Pita L, Lopez Karpovitch X, Cardenas R, Piedras J, Carrillo S, Labardini J. Recombinant interferon alfa-2B in refractory idiopathic immune thrombocytopenia. Blood 1990; 75:1744-6. [PMID: 2328325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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36
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López-Karpovitch X, Cardiel M, Cardenas R, Piedras J, Alarcón-Segovia D. Circulating colony-forming units of granulocytes and monocytes/macrophages in systemic lupus erythematosus. Clin Exp Immunol 1989; 77:43-6. [PMID: 2766577 PMCID: PMC1541920] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
In systemic lupus erythematosus (SLE) patients, in vitro bone marrow (BM) colony-forming units of granulocytes and monocytes/macrophages (CFU-GM) are decreased, suggesting that granulomonopoietic failure may play an important role in the mechanism of peripheral blood (PB) depletion of neutrophils and monocytes. No information concerning CFU-GM in PB of patients with SLE is available. The present study was undertaken in order to determine whether SLE itself and the inactive or active stage of disease would modify the number of GFU-GM in PB samples from 20 treatment-free SLE women, 12 inactive and eight active. CFU-GM growth was significantly decreased in both inactive (P = 0.018) and active (P = 0.008) SLE patients as compared with controls (n = 8). The difference in CFU-GM growth between SLE groups was not significant. These results indicate that the number of circulating CFU-GM is significantly reduced in patients with SLE regardless of disease activity or remission.
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Affiliation(s)
- X López-Karpovitch
- Department of Hematology, Instituto Nacional de la Nutrición Salvador Zubirán, México
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37
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Tapia O, Andres J, Aullo J, Cardenas R. Electronic aspects of the hydride transfer mechanism. III. Ab-initio analytical gradient studies of the cyclopropenyl-cation/LiH with 4-31G and 3-21+G basis sets. ACTA ACUST UNITED AC 1988. [DOI: 10.1016/0166-1280(88)80472-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Franquiz JM, Cardenas R, Lord E, Garcia-Barreto D. Measurement of right ventricular ejection fraction using the Fourier analysis of equilibrium gated scintigraphy. Radiol Diagn (Berl) 1983; 24:329-334. [PMID: 6611904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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Domínguez JP, Amenábar E, Mendoza F, Pivet H, Palacios L, Lagos A, Diaz N, Calderón J, Cardenas R, Pérez-Olea J. [Hepatic drug monitoring in patients exposed to antitubercular treatment]. Rev Med Chil 1982; 110:733-7. [PMID: 7156604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Franquiz JM, Cardenas R, Lord E, Garcia-Barreto D. Measurement of right and left ventricular ejection fractions by gated equilibrium scintigraphy using Fourier functional images. Nuklearmedizin 1982; 21:131-5. [PMID: 7145720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Left and right ventricular ejection fractions (LVEF and RVEF) were calculated by gated equilibrium scintigraphy in 28 normal controls and in 21 patients with heart disease. Regions of interest (ROIs) for the ventricles were assigned on the amplitude and phase Fourier images. Two methods of preprocessing of data were compared. In Method 1 the resolution was improved and the statistical noise was reduced, while in Method 2 only the statistical noise was reduced. There were no differences between the results of the two methods for the left ventricle. The mean LVEF for normal subjects was 0.63 +/- 0.06. For the right ventricle, Method 1 showed higher sensitivity in detecting reduced RVEF in pathological situations. The mean RVEF by Method 1 for normal controls was 0.56 +/- 0.07, which is significantly different (p less than 0.001) than that found by Method 2 (0.36 +/- 0.05), and similar to those reported by others employing the firstpass method. The results show the usefulness of the phase Fourier image and the importance of a suitable preprocessing of data for determining RVEF by gated equilibrium scintigraphy.
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Cardenas R, Lord E, Garcia-Barreto D, Franquiz JM. Measurement of Right and Left Ventricular Ejection Fractions by Gated Equilibrium Scintigraphy Using Fourier Functional Images. Nuklearmedizin 1982. [DOI: 10.1055/s-0037-1620566] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Left and right ventricular ejection fractions (LVEF and RVEF) were calculated by gated equilibrium scintigraphy in 28 normal controls and in 21 patients with heart disease. Regions of interest (ROIs) for the ventricles were assigned on the amplitude and phase Fourier images. Two methods of preprocessing of data were compared. In Method 1 the resolution was improved and the statistical noise was reduced, while in Method 2 only the statistical noise was reduced. There were no differences between the results of the two methods for the left ventricle. The mean LVEF for normal subjects was 0.63 ± 0.06. For the right ventricle, Method 1 showed higher sensitivity in detecting reduced RVEF in pathological situations. The mean RVEF by Method 1 for normal controls was 0.56 ± 0.07, which is significantly different (p < 0.001) than that found by Method 2 (0.36 ± 0.05), and similar to those reported by others employing the firstpass method. The results show the usefulness of the phase Fourier image and the importance of a suitable preprocessing of data for determining RVEF by gated equilibrium scintigraphy.
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Wood MW, Cardenas R, Moore C. Influence of CAT scanning on diagnosis and mortality rate of brain abscess. J Tenn Med Assoc 1980; 73:325-7. [PMID: 7382469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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Virella G, Koistinen J, Cardenas R, Patrick CC, Higerd TB, Fett JW, Fudenberg HH. Differential sensitivity of IgA proteins of different subclasses and allotypes to reduction of disulfide bonds and digestion by streptococcal protease. Immunochemistry 1978; 15:165-70. [PMID: 640711 DOI: 10.1016/0161-5890(78)90145-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Abstract
A simple method for obtaining an active preparation of IgA-specific protease from a bacterial source is presented. In this method Streptococcus sanguis was inoculated onto the surface of a dialysis membrane on nutrient agar. Following growth, the membrane was removed from the agar surface and washed in a small volume of buffer. A solution with protease activity against IgA1 monoclonal proteins was obtained by clarification of the wash and appeared to be similar to enzyme preparations obtained by other methods.
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Goldstein BD, Levine MR, Cuzzi-Spada R, Cardenas R, Buckley RD, Balchum OJ. p-aminobenzoic acid as a protective agent in ozone toxicity. Arch Environ Health 1972; 24:243-7. [PMID: 5014213 DOI: 10.1080/00039896.1972.10666078] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Abstract
Vitamin E deficiency in rats is associated with a greater susceptibility to lethal levels of ozone. Exposure of rats to sublethal ozone concentrations produces an accelerated decline in serum vitamin E levels. These findings are consistent with the possibility that lipid peroxidation is a mechanism of ozone toxicity.
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Gausman HW, Allen WA, Cardenas R, Richardson AJ. Relation of light reflectance to histological and physical evaluations of cotton leaf maturity. Appl Opt 1970; 9:545-552. [PMID: 20076241 DOI: 10.1364/ao.9.000545] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Cotton plants were grown hydroponically with controlled environment. Third, growth chamber grown true leaves of cotton plants were tagged on the day they became macroscopically visible. Beginning 3.0 days after tagging,five leaf harvests representing maturity dates were made at successive 2- or 3-day intervals. Measurements with a spectrophotometer made on the leaves showed that the largest increase in reflectance, about 5%, and decrease in transmittance, about 8%, occurred between average values for after-tagging-ages of 3.5 days and 8.0 days over the 0.75-1.35-micro wavelength interval. Between after-tagging-ages of 3.5 days and 8.0 days, leaves expanded approximately fivefold, numbers of intercellular spaces approximately doubled, and thicknesses increased 14%. The theory of diffuse reflectance and transmittance of a compact leaf of equivalent water thickness (EWT) specified by D is generalized to include also the noncompact leaf characterized by many intercellular air spaces, can be regarded as a pile of N compact layers separated by infinitesimal air spaces. The void area index (VAI) of a noncompact leaf is given by N - 1, where N is not necessarily an integer. Predictions from the generalized theory include a measure of the water, air, and plant pigments in a leaf. An effective dispersion curve associated with the leaf surfaces is also obtained. A derived parameter D/N largely determines the reflectance and transmittance of a typical leaf over the 1.40-2.50-micro spectral range. A cotton leaf is highly compact when it first unfolds. At this point D/N ~ 180 micro. This value is essentially the leaf thickness. Intercellular air spaces develop rapidly during the next few days, and D/N decreases in value to about 130 micro Subsequently, the leaf cells increase in size with no substantial further increase in the number of intercellular air spaces. This final growth phase is characterized by a slight increase in D/N to a maximum value of about 140 micro. Maximum reflectance of the leaf corresponds to a minimum value of D/N. The parameter D/N is highly correlated with the amount of intercellular air spaces in a leaf.
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