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Sharma P, Kumar Singh A, Senapati S, Singh Kapoor H, Devi Goyal L, Kaur B, Kamra P, Khetarpal P. Genetic Variants of Steroidogenesis and Gonadotropin Pathways and Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-analysis. Metab Syndr Relat Disord 2024; 22:15-26. [PMID: 37878274 DOI: 10.1089/met.2023.0127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 10/26/2023] Open
Abstract
Genetic variants are predisposing factors to polycystic ovary syndrome (PCOS), a multifactorial condition that often gets triggered due to various environmental factors. The study investigates the association of the variants of genes that are involved in the steroidogenesis pathway or gonadotropin pathway with the risk of PCOS. Appropriate keywords for predetermined genes were used to search in PubMed, Google Scholar, Science Direct, and Central Cochrane Library up to January 11, 2023. PROSPERO (CRD42022275425). Inclusion criteria: (a) case-control study; (b) genotype or allelic data. Exclusion criteria were: (a) duplicate studies; (b) clinical trials, systematic reviews, meta-analysis or conference abstract, case reports; (c) other than the English language; (d) having insufficient data; e) genetic variants for which meta-analysis has been reported recently and does not have a scope of the update. Various genetic models were applied as per data availability. Overall 12 variants of 7 genes were selected for the analysis. Relevant data were extracted from 47 studies which include 10,584 PCOS subjects and 16,150 healthy controls. Meta-analysis indicates a significant association between TOX3 rs4784165 [ORs = 1.08, 95% CI (1.00-1.16)], HMGA2 rs2272046 [ORs = 2.73, 95% CI (1.97-3.78)], YAP1 rs1894116 [OR = 1.22, 95% CI (1.13-1.33)] and increased risk of PCOS. Whereas FSHR rs2268361 [ORs = 0.84, 95% CI (0.78-0.89)] is associated with decreased PCOS risk. When sensitivity analysis was carried out, the association became significant for CYP19 rs700519 and FSHR rs6165 under an additive model. In addition, C9Orf3 rs3802457 became significantly associated with decreased PCOS risk with the removal of one study. Insignificant association was observed for CYP19A (rs2470152), FSHR (rs2349415, rs6166), C9Orf3 (rs4385527), GnRH1 (rs6185) and risk of PCOS. Our findings suggest association of CYP19A (rs700519), TOX3 (rs4784165), HMGA2 (rs2272046), FSHR (rs6165, rs2268361), C9orf3 (rs3802457), and YAP1 (rs1894116) with risk for PCOS.
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Affiliation(s)
- Priya Sharma
- Laboratory for Reproductive and Developmental Disorders, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, India
| | - Abhilash Kumar Singh
- Department of Human Genetics and Molecular Medicine, School of Health Science, Central University of Punjab, Bathinda, India
| | - Sabyasachi Senapati
- Department of Human Genetics and Molecular Medicine, School of Health Science, Central University of Punjab, Bathinda, India
| | | | - Lajya Devi Goyal
- Department of Obstetrics and Gynaecology, AIIMS, Bathinda, India
| | - Balpreet Kaur
- Department of Obstetrics and Gynaecology, AIIMS, Bathinda, India
| | - Pooja Kamra
- Department of Obstetrics and Gynaecology, Kamra Hospital, Malout, India
| | - Preeti Khetarpal
- Laboratory for Reproductive and Developmental Disorders, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, India
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Lu Y, Li W, Li Y, Zhai W, Zhou X, Wu Z, Jiang S, Liu T, Wang H, Hu R, Zhou Y, Zou J, Hu P, Guan G, Xu Q, Canário AVM, Chen L. Population genomics of an icefish reveals mechanisms of glacier-driven adaptive radiation in Antarctic notothenioids. BMC Biol 2022; 20:231. [PMID: 36224580 PMCID: PMC9560024 DOI: 10.1186/s12915-022-01432-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 04/27/2022] [Accepted: 10/03/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Antarctica harbors the bulk of the species diversity of the dominant teleost fish suborder-Notothenioidei. However, the forces that shape their evolution are still under debate. RESULTS We sequenced the genome of an icefish, Chionodraco hamatus, and used population genomics and demographic modelling of sequenced genomes of 52 C. hamatus individuals collected mainly from two East Antarctic regions to investigate the factors driving speciation. Results revealed four icefish populations with clear reproduction separation were established 15 to 50 kya (kilo years ago) during the last glacial maxima (LGM). Selection sweeps in genes involving immune responses, cardiovascular development, and photoperception occurred differentially among the populations and were correlated with population-specific microbial communities and acquisition of distinct morphological features in the icefish taxa. Population and species-specific antifreeze glycoprotein gene expansion and glacial cycle-paced duplication/degeneration of the zona pellucida protein gene families indicated fluctuating thermal environments and periodic influence of glacial cycles on notothenioid divergence. CONCLUSIONS We revealed a series of genomic evidence indicating differential adaptation of C. hamatus populations and notothenioid species divergence in the extreme and unique marine environment. We conclude that geographic separation and adaptation to heterogeneous pathogen, oxygen, and light conditions of local habitats, periodically shaped by the glacial cycles, were the key drivers propelling species diversity in Antarctica.
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Affiliation(s)
- Ying Lu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Wenhao Li
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Yalin Li
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Wanying Zhai
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Xuming Zhou
- Institute of Zoology, Chinese Academy of Science, Beijing, China
| | - Zhichao Wu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Shouwen Jiang
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Taigang Liu
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
- College of Information Technology, Shanghai Ocean University, Shanghai, China
| | - Huamin Wang
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Ruiqin Hu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Yan Zhou
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Jun Zou
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Peng Hu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Guijun Guan
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Qianghua Xu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China.
| | - Adelino V M Canário
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China.
- Centre of Marine Sciences (CCMAR-CIMAR LA), University of Algarve, Faro, Portugal.
| | - Liangbiao Chen
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China.
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3
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Zech M, Kumar KR, Reining S, Reunert J, Tchan M, Riley LG, Drew AP, Adam RJ, Berutti R, Biskup S, Derive N, Bakhtiari S, Jin SC, Kruer MC, Bardakjian T, Gonzalez-Alegre P, Keller Sarmiento IJ, Mencacci NE, Lubbe SJ, Kurian MA, Clot F, Méneret A, de Sainte Agathe JM, Fung VSC, Vidailhet M, Baumann M, Marquardt T, Winkelmann J, Boesch S. Biallelic AOPEP Loss-of-Function Variants Cause Progressive Dystonia with Prominent Limb Involvement. Mov Disord 2021; 37:137-147. [PMID: 34596301 DOI: 10.1002/mds.28804] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 06/07/2021] [Revised: 09/01/2021] [Accepted: 09/13/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Monogenic causes of isolated dystonia are heterogeneous. Assembling cohorts of affected individuals sufficiently large to establish new gene-disease relationships can be challenging. OBJECTIVE We sought to expand the catalogue of monogenic etiologies for isolated dystonia. METHODS After the discovery of a candidate variant in a multicenter exome-sequenced cohort of affected individuals with dystonia, we queried online platforms and genomic data repositories worldwide to identify subjects with matching genotypic profiles. RESULTS Seven different biallelic loss-of-function variants in AOPEP were detected in five probands from four unrelated families with strongly overlapping phenotypes. In one proband, we observed a homozygous nonsense variant (c.1477C>T [p.Arg493*]). A second proband harbored compound heterozygous nonsense variants (c.763C>T [p.Arg255*]; c.777G>A [p.Trp259*]), whereas a third proband possessed a frameshift variant (c.696_697delAG [p.Ala234Serfs*5]) in trans with a splice-disrupting alteration (c.2041-1G>A). Two probands (siblings) from a fourth family shared compound heterozygous frameshift alleles (c.1215delT [p.Val406Cysfs*14]; c.1744delA [p.Met582Cysfs*6]). All variants were rare and expected to result in truncated proteins devoid of functionally important amino acid sequence. AOPEP, widely expressed in developing and adult human brain, encodes a zinc-dependent aminopeptidase, a member of a class of proteolytic enzymes implicated in synaptogenesis and neural maintenance. The probands presented with disabling progressive dystonia predominantly affecting upper and lower extremities, with variable involvement of craniocervical muscles. Dystonia was unaccompanied by any additional symptoms in three families, whereas the fourth family presented co-occurring late-onset parkinsonism. CONCLUSIONS Our findings suggest a likely causative role of predicted inactivating biallelic AOPEP variants in cases of autosomal recessive dystonia. Additional studies are warranted to understand the pathophysiology associated with loss-of-function variation in AOPEP. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Michael Zech
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany.,Technical University of Munich, Munich, Germany.,School of Medicine, Technical University of Munich, Institute of Human Genetics, Munich, Germany
| | - Kishore R Kumar
- Molecular Medicine Laboratory and Neurology Department, Concord Clinical School, Concord Repatriation General Hospital, The University of Sydney, Sydney, New South Wales, Australia.,Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Sophie Reining
- Department of General Paediatrics, University of Münster, Münster, Germany
| | - Janine Reunert
- Department of General Paediatrics, University of Münster, Münster, Germany
| | - Michel Tchan
- Department of Genetic Medicine, Westmead Hospital, Westmead, New South Wales, Australia.,Sydney Medical School, University of Sydney, Camperdown, New South Wales, Australia
| | - Lisa G Riley
- Discipline of Child & Adolescent Health, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.,Rare Diseases Functional Genomics, Kids Research, The Children's Hospital at Westmead and The Children's Medical Research Institute, Sydney, New South Wales, Australia
| | - Alexander P Drew
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Robert J Adam
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Riccardo Berutti
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany.,Technical University of Munich, Munich, Germany.,School of Medicine, Technical University of Munich, Institute of Human Genetics, Munich, Germany
| | - Saskia Biskup
- CeGaT GmbH und Praxis für Humangenetik Tübingen, Tübingen, Germany
| | - Nicolas Derive
- Laboratoire de Biologie Médicale Multi-Sites SeqOIA, Paris, France
| | - Somayeh Bakhtiari
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, Arizona, USA.,Departments of Child Health, Neurology, and Cellular & Molecular Medicine, and Program in Genetics, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona, USA
| | - Sheng Chih Jin
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Michael C Kruer
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, Arizona, USA.,Departments of Child Health, Neurology, and Cellular & Molecular Medicine, and Program in Genetics, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona, USA
| | - Tanya Bardakjian
- Department of Neurology, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ignacio J Keller Sarmiento
- Ken and Ruth Davee Department of Neurology, and Simpson Querrey Center for Neurogenetics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Niccolo E Mencacci
- Ken and Ruth Davee Department of Neurology, and Simpson Querrey Center for Neurogenetics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Steven J Lubbe
- Ken and Ruth Davee Department of Neurology, and Simpson Querrey Center for Neurogenetics, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Manju A Kurian
- Department of Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.,Department of Neurology, Great Ormond Street Hospital, London, United Kingdom
| | - Fabienne Clot
- Laboratoire de Biologie Médicale Multi-Sites SeqOIA, Paris, France.,AP-HP Sorbonne Université, Département de Génétique, UF de Neurogénétique Moléculaire et Cellulaire, Hôpital Pitié-Salpêtrière, Paris, France
| | - Aurélie Méneret
- Sorbonne Université, Paris Brain Institute-ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, DMU Neurosciences, Paris, France
| | - Jean-Madeleine de Sainte Agathe
- Laboratoire de Biologie Médicale Multi-Sites SeqOIA, Paris, France.,AP-HP Sorbonne Université, Laboratoire de Médecine Génomique, Hôpital Pitié-Salpêtrière, Paris, France
| | - Victor S C Fung
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, New South Wales, Australia.,Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Marie Vidailhet
- Sorbonne Université, Paris Brain Institute-ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, DMU Neurosciences, Paris, France
| | - Matthias Baumann
- Department of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria
| | - Thorsten Marquardt
- Department of General Paediatrics, University of Münster, Münster, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany.,Technical University of Munich, Munich, Germany.,School of Medicine, Technical University of Munich, Institute of Human Genetics, Munich, Germany.,Lehrstuhl für Neurogenetik, Technische Universität München, Munich, Germany.,Munich Cluster for Systems Neurology, SyNergy, Munich, Germany
| | - Sylvia Boesch
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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Ichikawa M, Konoshita T, Makino Y, Suzuki J, Ishizuka T, Nakamura H. An association study of C9orf3, a novel component of the renin-angiotensin system, and hypertension in diabetes. Sci Rep 2020; 10:16111. [PMID: 32999396 PMCID: PMC7528017 DOI: 10.1038/s41598-020-73094-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 01/22/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022] Open
Abstract
The renin-angiotensin system (RAS) is important in the onset and course of cardiovascular, kidney, and metabolic disorders. Previous reports showed that the RAS blockade protects organs and suppress the development of type 2 diabetes mellitus. A novel component of the RAS, namely, chromosome 9 open reading frame 3 (C9orf3), was recently identified, however, its effects are unclear. We evaluated whether the genetic variant of C9orf3 is associated with morbidity of hypertension among subjects with type 2 diabetes. We enrolled 382 subjects with type 2 diabetes, 222 of whom were diagnosed with hypertension. Human leukocyte genomic DNA was isolated and a genetic variant was analyzed for a C/T variant of C9orf3 (rs4385527) via PCR analysis. The relationship between the genotype and hypertension morbidity among subjects with diabetes was examined. The proportion of the respective C9orf3 genetic variants were as follows 247 CC, 119 CT, and 16 TT. The risk of hypertension was determined to be 1.58, with a 95% confidence interval of 1.11–2.27. Moreover, the p value was 0.012 for allelic comparison and for Armitage’s trend test, with the C allele identified as the risk factor. Consequently, hypertension was markedly associated with type 2 diabetes in subjects with the C9orf3 variant, exhibiting a nearly 1.6-fold increased risk. The C variant of a new component of the RAS, C9orf3 (rs4385527) might have a considerable impact on the pathogenesis of hypertension in diabetes.
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Affiliation(s)
- Mai Ichikawa
- Third Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3, Matsuokashimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Tadashi Konoshita
- Third Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3, Matsuokashimoaizuki, Eiheiji, Fukui, 910-1193, Japan.
| | - Yasukazu Makino
- Third Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3, Matsuokashimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Jinya Suzuki
- Third Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3, Matsuokashimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Tamotsu Ishizuka
- Third Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3, Matsuokashimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Hiroyuki Nakamura
- Department of Environmental and Preventive Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
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Heerdt PM, Kant R, Hu Z, Kanda VA, Christini DJ, Malhotra JK, Abbott GW. Transcriptomic analysis reveals atrial KCNE1 down-regulation following lung lobectomy. J Mol Cell Cardiol 2012; 53:350-3. [PMID: 22641150 DOI: 10.1016/j.yjmcc.2012.05.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Academic Contribution Register] [Received: 04/12/2012] [Revised: 05/10/2012] [Accepted: 05/17/2012] [Indexed: 01/30/2023]
Abstract
Lone atrial fibrillation (AF) is associated with various ion channel gene sequence variants, notably the common S38G loss-of-function polymorphism in the KCNE1 K(+) channel ancillary subunit gene. New-onset postoperative AF (POAF) generally occurs 48-72 h after major surgery, particularly following procedures within the chest, but its molecular bases remain poorly understood. To begin to address this gap in knowledge, we analyzed molecular changes in the left atrium (LA) in relation to simultaneous changes in hemodynamics, LA effective refractory period (ERP), and the capacity to sustain electrically-induced AF following left upper lung lobectomy in swine. Relative to control pigs (no previous surgery), 3 days after lobectomy higher values for mean pulmonary artery pressure (16 ± 1 vs 22 ± 2 mmHg; P=0.045) and pulmonary vascular resistance (273 ± 47 vs 481 ± 63 dyns/cm(5); P=0.025) were evident, whereas other hemodynamic variables were unchanged. LA ERP trended toward reduction in lobectomy animals (187 ± 16 vs 170 ± 20 ms, P>0.05). None of the lobectomy pigs developed spontaneous POAF as assessed by telemetric ECG. However, all lobectomy pigs, but none of the controls, were able to sustain AF induced by a 10s burst of rapid pacing for ≥ 30 s (P=0.0079), independent of LA ERP; AF was sustained ≥ 60s in 3/5 postoperative pigs versus 0/5 controls and correlated with a shorter ERP overall (P=0.023). Transcriptomic analysis of LA tissue revealed 23 up-regulated and 10 down-regulated transcripts (≥ 1.5-fold, P<0.05) in lobectomy pigs. Strikingly, of the latter, KCNE1 down-regulation showed the statistically strongest link to surgery (2.0-fold, P=0.009), recapitulated at the protein level with Western blotting (P=0.039), suggesting KCNE1 down-regulation as a possible common mechanistic factor in POAF and lone AF. Of the up-regulated transcripts, while Teneurin-2 was the strongest linked (1.5-fold change, P=0.001), DSCR5 showed the highest induction (2.7-fold, P=0.02); this and other hits will be targeted in future functional studies.
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Affiliation(s)
- Paul M Heerdt
- Dept. of Anesthesiology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10021, USA.
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Scott MS, Troshin PV, Barton GJ. NoD: a Nucleolar localization sequence detector for eukaryotic and viral proteins. BMC Bioinformatics 2011; 12:317. [PMID: 21812952 PMCID: PMC3166288 DOI: 10.1186/1471-2105-12-317] [Citation(s) in RCA: 117] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 05/09/2011] [Accepted: 08/03/2011] [Indexed: 12/15/2022] Open
Abstract
Background Nucleolar localization sequences (NoLSs) are short targeting sequences responsible for the localization of proteins to the nucleolus. Given the large number of proteins experimentally detected in the nucleolus and the central role of this subnuclear compartment in the cell, NoLSs are likely to be important regulatory elements controlling cellular traffic. Although many proteins have been reported to contain NoLSs, the systematic characterization of this group of targeting motifs has only recently been carried out. Results Here, we describe NoD, a web server and a command line program that predicts the presence of NoLSs in proteins. Using the web server, users can submit protein sequences through the NoD input form and are provided with a graphical output of the NoLS score as a function of protein position. While the web server is most convenient for making prediction for just a few proteins, the command line version of NoD can return predictions for complete proteomes. NoD is based on our recently described human-trained artificial neural network predictor. Through stringent independent testing of the predictor using available experimentally validated NoLS-containing eukaryotic and viral proteins, the NoD sensitivity and positive predictive value were estimated to be 71% and 79% respectively. Conclusions NoD is the first tool to provide predictions of nucleolar localization sequences in diverse eukaryotes and viruses. NoD can be run interactively online at http://www.compbio.dundee.ac.uk/nod or downloaded to use locally.
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Affiliation(s)
- Michelle S Scott
- Division of Biological Chemistry and Drug Discovery, College of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, UK.
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Regulation of angiogenesis and choroidal neovascularization by members of microRNA-23~27~24 clusters. Proc Natl Acad Sci U S A 2011; 108:8287-92. [PMID: 21536891 DOI: 10.1073/pnas.1105254108] [Citation(s) in RCA: 280] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 12/15/2022] Open
Abstract
MicroRNAs (miRNAs) modulate complex physiological and pathological processes by repressing expression of multiple components of cellular regulatory networks. Here we demonstrate that miRNAs encoded by the miR-23∼27∼24 gene clusters are enriched in endothelial cells and highly vascularized tissues. Inhibition of miR-23 and miR-27 function by locked nucleic acid-modified anti-miRNAs represses angiogenesis in vitro and postnatal retinal vascular development in vivo. Moreover, miR-23 and miR-27 are required for pathological angiogenesis in a laser-induced choroidal neovascularization mouse model. MiR-23 and miR-27 enhance angiogenesis by promoting angiogenic signaling through targeting Sprouty2 and Sema6A proteins, which exert antiangiogenic activity. Manipulating miR-23/27 levels may have important therapeutic implications in neovascular age-related macular degeneration and other vascular disorders.
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8
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The significance of brain aminopeptidases in the regulation of the actions of angiotensin peptides in the brain. Heart Fail Rev 2008; 13:299-309. [PMID: 18188697 DOI: 10.1007/s10741-007-9078-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Academic Contribution Register] [Received: 10/02/2007] [Accepted: 12/21/2007] [Indexed: 01/05/2023]
Abstract
From the outset, the concept of a brain renin-angiotensin system (RAS) has been controversial and this controversy continues to this day. In addition to the unresolved questions as to the means by which, and location(s) where brain Ang II is synthesized, and the uncertainties regarding the functionality of the different subtypes of Ang II receptors in the brain, a new controversy has arisen with respect to the identity of the angiotensin peptide(s) that activate brain AT(1) receptors. While it has been known for some time that Ang III can activate Ang II receptors with equivalent or near-equivalent efficacy to Ang II, it has been proposed that in the brain, only Ang III is active. This proposal, which we have named "The Angiotensin III Hypothesis" states that Ang II must be converted to Ang III in order to activate brain AT(1) receptors. This review examines several aspects of the controversies regarding the brain RAS with a special focus on brain aminopeptidases, studies that either support or refute The Angiotensin III Hypothesis, and the implications of The Angiotensin III Hypothesis for the activity of the brain RAS. It also addresses the need for further research that can test The Angiotensin III Hypothesis and definitively identify the angiotensin peptide(s) that activate brain AT(1) receptor-mediated effects.
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