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Sadykova D, Nigmatullina R, Salakhova K, Slastnikova E, Galimova L, Khaliullina C, Valeeva I. Membrane Transporter of Serotonin and Hypercholesterolemia in Children. Int J Mol Sci 2024; 25:767. [PMID: 38255840 PMCID: PMC10815017 DOI: 10.3390/ijms25020767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/03/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
The serotonin membrane transporter is one of the main mechanisms of plasma serotonin concentration regulation. Serotonin plays an important role in the pathogenesis of various cardiovascular diseases, stimulating the proliferation of smooth muscle cells, key cells in the process of hypertrophic vascular remodeling. Vascular remodeling is one of the leading prognostically unfavorable factors of atherosclerosis, the main manifestation of familial hypercholesterolemia. Familial hypercholesterolemia is one of the most common genetically determined lipid metabolism disorders and occurs in 1 in 313 people. The aim of our study was to investigate the levels of plasma and platelet serotonin, 5-hydroxyindoleacetic acid, and membrane transporter in a cross-sectional study of two pediatric groups, including patients with familial hypercholesterolemia and the control group, which consisted of apparently healthy children without cardiovascular diseases. The study involved 116 children aged 5 to 17 years old. The proportion of boys was 50% (58/116) and the average age of the children was 10.5 years (CI 2.8-18.1). The concentrations of serotonin in blood plasma and platelets and 5-hydroxyindoleacetic acid were higher in children with familial hypercholesterolemia than in the controls. The concentration of the serotonin transporter in platelets in healthy children, compared with the main group, was 1.3 times higher. A positive correlation was revealed between the level of serotonin (5-HT and PWV: ρ = 0.6, p < 0.001), its transporter (SERT and PWV: ρ = 0.5, p < 0.001), and the main indicators of arterial vascular stiffness. Our study revealed the relationship between high serotonin and SERT concentrations and markers of arterial stiffness. The results we obtained suggest the involvement of serotonin and SERT in the process of vascular remodeling in familial hypercholesterolemia in children.
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Affiliation(s)
- Dinara Sadykova
- Department of Hospital Pediatrics, Kazan State Medical University, 420012 Kazan, Russia; (K.S.); (E.S.); (L.G.); (C.K.)
| | - Razina Nigmatullina
- Department of Normal Physiology, Kazan State Medical University, 420012 Kazan, Russia;
| | - Karina Salakhova
- Department of Hospital Pediatrics, Kazan State Medical University, 420012 Kazan, Russia; (K.S.); (E.S.); (L.G.); (C.K.)
| | - Evgeniia Slastnikova
- Department of Hospital Pediatrics, Kazan State Medical University, 420012 Kazan, Russia; (K.S.); (E.S.); (L.G.); (C.K.)
- Children’s Republican Clinical Hospital, 420138 Kazan, Russia
| | - Liliya Galimova
- Department of Hospital Pediatrics, Kazan State Medical University, 420012 Kazan, Russia; (K.S.); (E.S.); (L.G.); (C.K.)
- Children’s Republican Clinical Hospital, 420138 Kazan, Russia
| | - Chulpan Khaliullina
- Department of Hospital Pediatrics, Kazan State Medical University, 420012 Kazan, Russia; (K.S.); (E.S.); (L.G.); (C.K.)
| | - Ildaria Valeeva
- Central Research Laboratory, Kazan State Medical University, 420012 Kazan, Russia;
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Dharmayat KI, Vallejo-Vaz AJ, Stevens CA, Brandts JM, Lyons AR, Groselj U, Abifadel M, Aguilar-Salinas CA, Alhabib K, Alkhnifsawi M, Almahmeed W, Alnouri F, Alonso R, Al-Rasadi K, Ashavaid TF, Banach M, Béliard S, Binder C, Bourbon M, Chlebus K, Corral P, Cruz D, Descamps OS, Drogari E, Durst R, Ezhov MV, Genest J, Harada-Shiba M, Holven KB, Humphries SE, Khovidhunkit W, Lalic K, Laufs U, Liberopoulos E, Roeters van Lennep J, Lima-Martinez MM, Lin J, Maher V, März W, Miserez AR, Mitchenko O, Nawawi H, Panayiotou AG, Paragh G, Postadzhiyan A, Reda A, Reiner Ž, Reyes X, Sadiq F, Sahebkar A, Schunkert H, Shek AB, Stroes E, Su TC, Subramaniam T, Susekov A, Vázquez Cárdenas A, Huong Truong T, Tselepis AD, Vohnout B, Wang L, Yamashita S, Al-Sarraf A, Al-Sayed N, Davletov K, Dwiputra B, Gaita D, Kayikcioglu M, Latkovskis G, Marais AD, Thushara Matthias A, Mirrakhimov E, Nordestgaard BG, Petrulioniene Z, Pojskic B, Sadoh W, Tilney M, Tomlinson B, Tybjærg-Hansen A, Viigimaa M, Catapano AL, Freiberger T, Hovingh GK, Mata P, Soran H, Raal F, Watts GF, Schreier L, Bañares V, Greber-Platzer S, Baumgartner-Kaut M, de Gier C, Dieplinger H, Höllerl F, Innerhofer R, Karall D, Lischka J, Ludvik B, Mäser M, Scholl-Bürgi S, Thajer A, Toplak H, Demeure F, Mertens A, Balligand JL, Stephenne X, Sokal E, Petrov I, Goudev A, Nikolov F, Tisheva S, Yotov Y, Tzvetkov I, Hegele RA, Gaudet D, Brunham L, Ruel I, McCrindle B, Cuevas A, Perica D, Symeonides P, Trogkanis E, Kostis A, Ioannou A, Mouzarou A, Georgiou A, Stylianou A, Miltiadous G, Iacovides P, Deltas C, Vrablik M, Urbanova Z, Jesina P, Tichy L, Hyanek J, Dvorakova J, Cepova J, Sykora J, Buresova K, Pipek M, Pistkova E, Bartkova I, S|ulakova A, Toukalkova L, Spenerova M, Maly J, Benn M, Bendary A, Elbahry A, Ferrières J, Ferrieres D, Peretti N, Bruckert E, Gallo A, Valero R, Mourre F, Aouchiche K, Reynaud R, Tounian P, Lemale J, Boccara F, Moulin P, Charrières S, Di Filippo M, Cariou B, Paillard F, Dourmap C, Pradignac A, Verges B, Simoneau I, Farnier M, Cottin Y, Yelnik C, Hankard R, Schiele F, Durlach V, Sultan A, Carrié A, Rabès JP, Sanin V, Schmieder R, Ates S, Rizos CV, Skoumas I, Tziomalos K, Rallidis L, Kotsis V, Doumas M, Skalidis E, Kolovou G, Kolovou V, Garoufi A, Koutagiar I, Polychronopoulos G, Kiouri E, Antza C, Zacharis E, Attilakos A, Sfikas G, Koumaras C, Anagnostis P, Anastasiou G, Liamis G, Adamidis PS, Milionis H, Lambadiari V, Stabouli S, Filippatos T, Mollaki V, Tsaroumi A, Lamari F, Proyias P, Harangi M, Reddy LL, Shah SAV, Ponde CK, Dalal JJ, Sawhney JP, Verma IC, Hosseini S, Jamialahmadi T, Alareedh M, Shaghee F, Rhadi SH, Abduljalal M, Alfil S, Kareem H, Cohen H, Leitersdorf E, Schurr D, Shpitzen S, Arca M, Averna M, Bertolini S, Calandra S, Tarugi P, Casula M, Galimberti F, Gazzotti M, Olmastroni E, Sarzani R, Ferri C, Repetti E, Giorgino F, Suppressa P, Bossi AC, Borghi C, Muntoni S, Cipollone F, Scicali R, Pujia A, Passaro A, Berteotti M, Pecchioli V, Pisciotta L, Mandraffino G, Pellegatta F, Mombelli G, Branchi A, Fiorenza AM, Pederiva C, Werba JP, Parati G, Nascimbeni F, Iughetti L, Fortunato G, Cavallaro R, Iannuzzo G, Calabrò P, Cefalù AB, Capra ME, Zambon A, Pirro M, Sbrana F, Trenti C, Minicocci I, Federici M, Del Ben M, Buonuomo PS, Moffa S, Pipolo A, Citroni N, Guardamagna O, Lia S, Benso A, Biolo GB, Maroni L, Lupi A, Bonanni L, Rinaldi E, Zenti MG, Masuda D, Mahfouz L, Jambart S, Ayoub C, Ghaleb Y, Kasim NAM, Nor NSM, Al-Khateeb A, Kadir SHSA, Chua YA, Razman AZ, Nazli SA, Ranai NM, Latif AZA, Torres MTM, Mehta R, Martagon AJ, Ramirez GAG, Antonio-Villa NE, Vargas-Vazquez A, Elias-Lopez D, Retana GG, Encinas BR, Macias JJC, Zazueta AR, Alvarado RM, Portano JDM, Lopez HA, Sauque-Reyna L, Gomez Herrera LG, Simental Mendia LE, Aguilar HG, Cooremans ER, Aparicio BP, Zubieta VM, Gonzalez PAC, Ferreira-Hermosillo A, Portilla NC, Dominguez GJ, Garcia AYR, Arriaga Cazares HE, Gonzalez Gonzalez JR, Mendez Valencia CV, Padilla Padilla FG, Prado RM, De los Rios Ibarra MO, Arjona Villica~na RD, Acevedo Rivera KJ, Carrera RA, Alvarez JA, Amezcua Martinez JC, Barrera Bustillo MDLR, Vargas GC, Chacon RC, Figueroa Andrade MH, Ortega AF, Alcala HG, Garcia de Leon LE, Guzman BG, Gardu~no Garcia JJ, Garnica Cuellar JC, Gomez Cruz JR, Garcia AH, Holguin Almada JR, Herrera UJ, Sobrevilla FL, Rodriguez EM, Sibaja CM, Medrano Rodriguez AB, Morales Oyervides JC, Perez Vazquez DI, Reyes Rodriguez EA, Osorio MLR, Saucedo JR, Tamayo MT, Valdez Talavera LA, Vera Arroyo LE, Zepeda Carrillo EA, Galema-Boers A, Weigman A, Bogsrud MP, Malik M, Shah S, Khan SA, Rana MA, Batool H, Starostecka E, Konopka A, Lewek J, Bielecka-Dąbrowa A, Gach A, Jóźwiak J, Pajkowski M, Romanowska-Kocejko M, Żarczyńska-Buchowiecka M, Hellmann M, Chmara M, Wasąg B, Parczewska A, Gilis-Malinowska N, Borowiec-Wolna J, Stróżyk A, Michalska-Grzonkowska A, Chlebus I, Kleinschmidt M, Wojtecka A, Zdrojewski T, Myśliwiec M, Hennig M, Medeiros AM, Alves AC, Almeida AF, Lopes A, Guerra A, Bilhoto C, Simões F, Silva F, Lobarinhas G, Gama G, Palma I, Salgado JM, Matos LD, Moura MD, Virtuoso MJ, Tavares M, Ferreira P, Pais P, Garcia P, Coelho R, Ribeiro R, Correia S, Sadykova D, Slastnikova E, Alammari D, Mawlawi HA, Alsahari A, Khudary AA, Alrowaily NL, Rajkovic N, Popovic L, Singh S, Rasulic I, Petakov A, Lalic NM, Peng FK, Vasanwala RF, Venkatesh SA, Raslova K, Fabryova L, Nociar J, Šaligova J, Potočňáková L, Kozárová M, Varga T, Kadurova M, Debreova M, Novodvorsky P, Gonova K, Klabnik A, Buganova I, Battelino T, Bizjan BJ, Debeljak M, Kovac J, Mlinaric M, Molk N, Sikonja J, Sustar U, Podkrajsek KT, Muñiz-Grijalvo O, Díaz-Díaz JL, de Andrés R, Fuentes-Jiménez F, Blom D, Miserez EB, Shipton JL, Ganokroj P, Futema M, Ramaswami U, Alieva RB, Fozilov KG, Khoshimov SU, Nizamov UI, Abdullaeva GJ, Kan LE, Abdullaev AA, Zakirova DV, Do DL, Nguyen MNT, Kim NT, Le TT, Le HA, Santos R, Ray KK. Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study. Lancet 2024; 403:55-66. [PMID: 38101429 DOI: 10.1016/s0140-6736(23)01842-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 08/21/2023] [Accepted: 08/29/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies. METHODS For this cross-sectional study, we assessed children and adolescents younger than 18 years with a clinical or genetic diagnosis of HeFH at the time of entry into the Familial Hypercholesterolaemia Studies Collaboration (FHSC) registry between Oct 1, 2015, and Jan 31, 2021. Data in the registry were collected from 55 regional or national registries in 48 countries. Diagnoses relying on self-reported history of familial hypercholesterolaemia and suspected secondary hypercholesterolaemia were excluded from the registry; people with untreated LDL cholesterol (LDL-C) of at least 13·0 mmol/L were excluded from this study. Data were assessed overall and by WHO region, World Bank country income status, age, diagnostic criteria, and index-case status. The main outcome of this study was to assess current identification and management of children and adolescents with familial hypercholesterolaemia. FINDINGS Of 63 093 individuals in the FHSC registry, 11 848 (18·8%) were children or adolescents younger than 18 years with HeFH and were included in this study; 5756 (50·2%) of 11 476 included individuals were female and 5720 (49·8%) were male. Sex data were missing for 372 (3·1%) of 11 848 individuals. Median age at registry entry was 9·6 years (IQR 5·8-13·2). 10 099 (89·9%) of 11 235 included individuals had a final genetically confirmed diagnosis of familial hypercholesterolaemia and 1136 (10·1%) had a clinical diagnosis. Genetically confirmed diagnosis data or clinical diagnosis data were missing for 613 (5·2%) of 11 848 individuals. Genetic diagnosis was more common in children and adolescents from high-income countries (9427 [92·4%] of 10 202) than in children and adolescents from non-high-income countries (199 [48·0%] of 415). 3414 (31·6%) of 10 804 children or adolescents were index cases. Familial-hypercholesterolaemia-related physical signs, cardiovascular risk factors, and cardiovascular disease were uncommon, but were more common in non-high-income countries. 7557 (72·4%) of 10 428 included children or adolescents were not taking lipid-lowering medication (LLM) and had a median LDL-C of 5·00 mmol/L (IQR 4·05-6·08). Compared with genetic diagnosis, the use of unadapted clinical criteria intended for use in adults and reliant on more extreme phenotypes could result in 50-75% of children and adolescents with familial hypercholesterolaemia not being identified. INTERPRETATION Clinical characteristics observed in adults with familial hypercholesterolaemia are uncommon in children and adolescents with familial hypercholesterolaemia, hence detection in this age group relies on measurement of LDL-C and genetic confirmation. Where genetic testing is unavailable, increased availability and use of LDL-C measurements in the first few years of life could help reduce the current gap between prevalence and detection, enabling increased use of combination LLM to reach recommended LDL-C targets early in life. FUNDING Pfizer, Amgen, Merck Sharp & Dohme, Sanofi-Aventis, Daiichi Sankyo, and Regeneron.
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Engel C, Valence S, Delplancq G, Maroofian R, Accogli A, Agolini E, Alkuraya FS, Baglioni V, Bagnasco I, Becmeur-Lefebvre M, Bertini E, Borggraefe I, Brischoux-Boucher E, Bruel AL, Brusco A, Bubshait DK, Cabrol C, Cilio MR, Cornet MC, Coubes C, Danhaive O, Delague V, Denommé-Pichon AS, Di Giacomo MC, Doco-Fenzy M, Engels H, Cremer K, Gérard M, Gleeson JG, Heron D, Goffeney J, Guimier A, Harms FL, Houlden H, Iacomino M, Kaiyrzhanov R, Kamien B, Karimiani EG, Kraus D, Kuentz P, Kutsche K, Lederer D, Massingham L, Mignot C, Morris-Rosendahl D, Nagarajan L, Odent S, Ormières C, Partlow JN, Pasquier L, Penney L, Philippe C, Piccolo G, Poulton C, Putoux A, Rio M, Rougeot C, Salpietro V, Scheffer I, Schneider A, Srivastava S, Straussberg R, Striano P, Valente EM, Venot P, Villard L, Vitobello A, Wagner J, Wagner M, Zaki MS, Zara F, Lesca G, Yassaee VR, Miryounesi M, Hashemi-Gorji F, Beiraghi M, Ashrafzadeh F, Galehdari H, Walsh C, Novelli A, Tacke M, Sadykova D, Maidyrov Y, Koneev K, Shashkin C, Capra V, Zamani M, Van Maldergem L, Burglen L, Piard J. BRAT1-related disorders: phenotypic spectrum and phenotype-genotype correlations from 97 patients. Eur J Hum Genet 2023; 31:1023-1031. [PMID: 37344571 PMCID: PMC10474045 DOI: 10.1038/s41431-023-01410-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/26/2023] [Accepted: 06/07/2023] [Indexed: 06/23/2023] Open
Abstract
BRAT1 biallelic variants are associated with rigidity and multifocal seizure syndrome, lethal neonatal (RMFSL), and neurodevelopmental disorder associating cerebellar atrophy with or without seizures syndrome (NEDCAS). To date, forty individuals have been reported in the literature. We collected clinical and molecular data from 57 additional cases allowing us to study a large cohort of 97 individuals and draw phenotype-genotype correlations. Fifty-nine individuals presented with BRAT1-related RMFSL phenotype. Most of them had no psychomotor acquisition (100%), epilepsy (100%), microcephaly (91%), limb rigidity (93%), and died prematurely (93%). Thirty-eight individuals presented a non-lethal phenotype of BRAT1-related NEDCAS phenotype. Seventy-six percent of the patients in this group were able to walk and 68% were able to say at least a few words. Most of them had cerebellar ataxia (82%), axial hypotonia (79%) and cerebellar atrophy (100%). Genotype-phenotype correlations in our cohort revealed that biallelic nonsense, frameshift or inframe deletion/insertion variants result in the severe BRAT1-related RMFSL phenotype (46/46; 100%). In contrast, genotypes with at least one missense were more likely associated with NEDCAS (28/34; 82%). The phenotype of patients carrying splice variants was variable: 41% presented with RMFSL (7/17) and 59% with NEDCAS (10/17).
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Affiliation(s)
- Camille Engel
- Centre de Génétique Humaine, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France.
| | - Stéphanie Valence
- Service de Neurologie Pédiatrique, Hôpital Armand Trousseau, APHP Sorbonne Université, Paris, France
| | - Geoffroy Delplancq
- Centre de Génétique Humaine, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France
| | - Reza Maroofian
- Department of Neuromuscular Diseases UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrea Accogli
- Department of Specialized Medicine, Division of Medical Genetics, McGill University Health Centre, Montreal, QC, Canada
| | - Emanuele Agolini
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Valentina Baglioni
- Department of Human Neurosciences, Institute of Child and Adolescent Neuropsychiatry, Sapienza University of Rome, Rome, Italy
| | - Irene Bagnasco
- Division of Neuropsychiatry, Epilepsy Center for Children, Martini Hospital, 10141, Turin, Italy
| | | | - Enrico Bertini
- Unit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Ingo Borggraefe
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, University of Munich, 80337, Munich, Germany
| | - Elise Brischoux-Boucher
- Centre de Génétique Humaine, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France
| | - Ange-Line Bruel
- UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
- Unité Fonctionnelle Innovation en Diagnostic Génomique des Maladies Rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Alfredo Brusco
- Department of Medical Sciences, University of Torino, 10126, Turin, Italy
| | - Dalal K Bubshait
- Department of Pediatrics, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Christelle Cabrol
- Centre de Génétique Humaine, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France
| | - Maria Roberta Cilio
- Department of Pediatrics, Division of Pediatric Neurology Saint-Luc University Hospital, and Institute of Neuroscience (IoNS), Catholic University of Louvain, Brussels, Belgium
| | - Marie-Coralie Cornet
- Department of Pediatrics, Division of Neonatology, University of California San Francisco, San Francisco, CA, USA
| | - Christine Coubes
- Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, Hôpital Arnaud de Villeneuve, CHU de Montpellier, Montpellier, France
| | - Olivier Danhaive
- Division of Neonatology, Saint-Luc university Hospital, and Institut of Clinical and Experimental Research (IREC), Bruxelles, Belgium
| | - Valérie Delague
- Aix Marseille Univ, INSERM, Marseille Medical Genetics Center, MMG, Marseille, France
| | - Anne-Sophie Denommé-Pichon
- UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
- Unité Fonctionnelle Innovation en Diagnostic Génomique des Maladies Rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Marilena Carmela Di Giacomo
- Medical Genetics Service and Laboratory of Cytogenetics, SIC Anatomia Patologica, "San Carlo" Hospital, 85100, Potenza, Italy
| | - Martine Doco-Fenzy
- CHU Reims, Service de Génétique, Reims, France
- CHU de Nantes, service de génétique médicale, Nantes, France
- L'institut du thorax, INSERM, UNIV Nantes, Nantes, France
| | - Hartmut Engels
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Kirsten Cremer
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Marion Gérard
- Clinical Genetics, Côte de Nacre University Hospital Center, Caen, France
| | - Joseph G Gleeson
- University of California San Diego, Department of Neurosciences, Rady Children's Institute for Genomic Medicine, San Diego, CA, 92037, USA
| | - Delphine Heron
- Department of Genetics, Pitié-Salpêtrière Hospital, AP-HP, Sorbonne University, Paris, France
| | - Joanna Goffeney
- Service de neuropédiatrie, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France
| | - Anne Guimier
- Service de Médecine Génomique des Maladies Rares, Hôpital Necker Enfants Malades, Institut Imagine et Université Paris-Cité, Paris, France
| | - Frederike L Harms
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Henry Houlden
- Department of Neuromuscular Diseases UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Michele Iacomino
- Unit of Medical Genetics, IRCCS Instituto Giannina Gaslini, Genova, Italy
| | - Rauan Kaiyrzhanov
- Department of Neuromuscular Diseases UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Benjamin Kamien
- Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, WA, 6008, Australia
| | - Ehsan Ghayoor Karimiani
- Department of Molecular Genetics, Next Generation Genetic Polyclinic, Mashhad, Iran
- Molecular and Clinical Sciences Institute, St. George's, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - Dror Kraus
- Department of Neurology, Schneider Children's Medical Center of Israel, Petah Tiqva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Paul Kuentz
- UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
- Oncobiologie Génétique Bioinformatique, PCBio, CHU Besançon, Besançon, France
| | - Kerstin Kutsche
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Damien Lederer
- Institute for Pathology and Genetics, 6040, Gosselies, Belgium
| | - Lauren Massingham
- Division of Medical Genetics, Department of Pediatrics, Hasbro Children's Hospital, Providence, RI, USA
| | - Cyril Mignot
- APHP, Sorbonne Université, Département de Génétique, Paris, France
- Centre de Référence Déficiences Intellectuelles de Causes Rares, GH Pitié-Salpêtrière/Hôpital Armand Trousseau, Paris, France
| | - Déborah Morris-Rosendahl
- Clinical Genetics and Genomics, Royal Brompton and Harefield NHS Foundation Trust, London, UK
- NHLI, Imperial College London, London, UK
| | - Lakshmi Nagarajan
- Department of Neurology, Perth Children's Hospital, Nedlands, WA, Australia
- University of Western Australia, Nedlands, WA, Australia
| | - Sylvie Odent
- Service de Génétique Clinique, Centre Référence "Déficiences Intellectuelles de causes rares" (CRDI), Centre Référence Anomalies du développement (CLAD-Ouest), CHU Rennes, Univ Rennes, Rennes, France
| | - Clothilde Ormières
- Service de Médecine Génomique des Maladies Rares, Hôpital Necker Enfants Malades, Institut Imagine et Université Paris-Cité, Paris, France
| | - Jennifer Neil Partlow
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
| | - Laurent Pasquier
- Service de Génétique Clinique, Centre Référence "Déficiences Intellectuelles de causes rares" (CRDI), Centre Référence Anomalies du développement (CLAD-Ouest), CHU Rennes, Univ Rennes, Rennes, France
| | - Lynette Penney
- Department of Pediatrics, IWK Health Centre, Dalhousie University, Halifax, NS, Canada
| | - Christophe Philippe
- UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
- Unité Fonctionnelle Innovation en Diagnostic Génomique des Maladies Rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | | | - Cathryn Poulton
- Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, WA, 6008, Australia
| | - Audrey Putoux
- Hospices Civils de Lyon, Service de Génétique, Bron, France
- Équipe GENDEV, Centre de Recherche en Neurosciences de Lyon, INSERM U1028 CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France
| | - Marlène Rio
- Service de Médecine Génomique des Maladies Rares, Hôpital Necker Enfants Malades, Institut Imagine et Université Paris-Cité, Paris, France
| | | | - Vincenzo Salpietro
- Department of Neuromuscular Diseases UCL Queen Square Institute of Neurology, University College London, London, UK
- IRCCS Giannina Gaslini Institute, Genova, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy
| | - Ingrid Scheffer
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC, Australia
- Royal Children's Hospital, Florey Institute and Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Amy Schneider
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC, Australia
| | | | - Rachel Straussberg
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Pasquale Striano
- IRCCS Giannina Gaslini Institute, Genova, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy
| | - Enza Maria Valente
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Neurogenetics Research Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Perrine Venot
- Neonatal Intensive Care Unit, Institut Alix de Champagne, Reims, France
| | - Laurent Villard
- Aix Marseille Univ, INSERM, Marseille Medical Genetics Center, MMG, Marseille, France
- Département de Génétique Médicale, AP-HM, Hôpital d'Enfants de La Timone, Marseille, France
| | - Antonio Vitobello
- UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
- Unité Fonctionnelle Innovation en Diagnostic Génomique des Maladies Rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Johanna Wagner
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, University of Munich, 80337, Munich, Germany
| | - Matias Wagner
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, University of Munich, 80337, Munich, Germany
- Institute for Neurogenomics, Helmholtz Center Munich, Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University Munich, Munich, Germany
| | - Maha S Zaki
- Clinical Genetics Department, Human Genetics and Genome Research Institute, National Research Centre, Cairo, Egypt
| | - Federizo Zara
- IRCCS Giannina Gaslini Institute, Genova, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy
| | - Gaetan Lesca
- Hospices Civils de Lyon, Service de Génétique, Bron, France
- Pathophysiology and Genetics of Neuron and Muscle (PGNM, UCBL - CNRS UMR5261 - INSERM U1315), Université Claude Bernard Lyon 1, Lyon, France
| | - Vahid Reza Yassaee
- Genomic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Miryounesi
- Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hashemi-Gorji
- Genomic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehran Beiraghi
- Department of Pediatrics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Farah Ashrafzadeh
- Department of Pediatrics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hamid Galehdari
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Christopher Walsh
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
| | - Antonio Novelli
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Moritz Tacke
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, University of Munich, 80337, Munich, Germany
| | | | - Yerdan Maidyrov
- S. D. Asfendiyarov Kazakh National Medical University Almaty, Almaty, Kazakhstan
| | - Kairgali Koneev
- Department of Neurology and Neurosurgery, Asfendiyarov Kazakh National Medical University, Almaty, 050000, Kazakhstan
| | - Chingiz Shashkin
- Department of Neurology, The International Institute of Postraduate Education, Almaty, Kazakhstan
| | - Valeria Capra
- Unit of Medical Genetics, IRCCS Instituto Giannina Gaslini, Genova, Italy
| | - Mina Zamani
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Lionel Van Maldergem
- Centre de Génétique Humaine, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France
| | - Lydie Burglen
- Centre de Référence des Malformations et Maladies Congénitales du Cervelet, Département de Génétique, AP-HP, Sorbonne Université, Hôpital Trousseau, Paris, France
| | - Juliette Piard
- Centre de Génétique Humaine, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France
- UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
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4
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Gabitova NK, Cherezova IN, Arafat A, Sadykova D. Interstitial Lung Disease in Neonates: A Long Road Is Being Paved. Children (Basel) 2023; 10:916. [PMID: 37371148 DOI: 10.3390/children10060916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 05/16/2023] [Accepted: 05/19/2023] [Indexed: 06/29/2023]
Abstract
Background: Interstitial lung disease (ILD) is one of the most difficult conditions in pulmonology due to difficulties in diagnosing, classifying, and treating this condition. They require invasive approaches to diagnose (e.g., lung biopsy), non-applicable methods (e.g., lung function tests in newborns), or potentially non-accessible methods (e.g., genetic testing in not-well-equipped facilities, and several weeks are required for results to be announced). They represent a heterogeneous group of diseases in which the alveolar epithelium, parenchyma, and capillaries of the lungs are damaged, which leads to changes in the pulmonary interstitium, proliferation of connective tissue, and thickening of the alveolar-capillary membranes and alveolar septa. These changes are accompanied by impaired oxygen diffusion, progressive respiratory failure, and radiographic signs of bilateral dissemination. Although adult and child classifications for ILD have evolved over the years, classification for ILD in neonates remains a challenge. Case presentation: Here we discuss ILD in neonates briefly, and report two rare cases of ILD (a male white neonate, two-day-old with fibrosing alveolitis, and another male white neonate, one-day old with desquamative interstitial pneumonitis), with these diagnoses initially thought to be presented only in adulthood. Lung biopsy and histopathological findings of the two neonates have shown mononuclear cells in the alveolar spaces, and thickening of the alveolar walls confirmed the diagnosis of fibrosing alveolitis in one neonate, and desquamation of the large mononuclear cells in the intra-alveolar space in the other neonate, with the diagnosis of desquamative interstitial pneumonitis being confirmed. Interstitial lung disease lacks a consensus guideline on classification and diagnosis in neonates, rendering it one of the greatest challenges to pediatricians and neonatologists with remarkable morbidity and mortality rates. Conclusions: Fibrosing alveolitis and desquamative interstitial pneumonitis (DIP) are not adult-only conditions, although rare in neonates, histopathological examination and clinical practice can confirm the diagnosis. Based on our clinical practice, prenatal and maternal conditions may serve as potential risk factors for developing IDL in neonates, and further studies are needed to prove this hypothesis.
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Affiliation(s)
- N Kh Gabitova
- Department of Pediatrics, School of Medicine, Kazan State Medical University, 420012 Kazan, Russia
- Children's Republican Clinical Hospital, 420012 Kazan, Russia
| | - I N Cherezova
- Department of Pediatrics, School of Medicine, Kazan State Medical University, 420012 Kazan, Russia
- Children's Republican Clinical Hospital, 420012 Kazan, Russia
| | - Ahmed Arafat
- Department of Pediatrics, School of Medicine, Kazan State Medical University, 420012 Kazan, Russia
- Children's Republican Clinical Hospital, 420012 Kazan, Russia
- Department of Pediatrics, NICU Division, Ismailia Medical Complex, Egypt Healthcare Authority, Ismailia 41511, Egypt
| | - Dinara Sadykova
- Department of Pediatrics, School of Medicine, Kazan State Medical University, 420012 Kazan, Russia
- Children's Republican Clinical Hospital, 420012 Kazan, Russia
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5
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Kaiyrzhanov R, Zaki MS, Lau T, Sen S, Azizimalamiri R, Zamani M, Sayin GY, Hilander T, Efthymiou S, Chelban V, Brown R, Thompson K, Scarano MI, Ganesh J, Koneev K, Gülaçar IM, Person R, Sadykova D, Maidyrov Y, Seifi T, Zadagali A, Bernard G, Allis K, Elloumi HZ, Lindy A, Taghiabadi E, Verma S, Logan R, Kirmse B, Bai R, Khalaf SM, Abdel‐Hamid MS, Sedaghat A, Shariati G, Issa M, Zeighami J, Elbendary HM, Brown G, Taylor RW, Galehdari H, Gleeson JJ, Carroll CJ, Cowan JA, Moreno‐De‐Luca A, Houlden H, Maroofian R. Phenotypic continuum of NFU1-related disorders. Ann Clin Transl Neurol 2022; 9:2025-2035. [PMID: 36256512 PMCID: PMC9735368 DOI: 10.1002/acn3.51679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 12/14/2022] Open
Abstract
Bi-allelic variants in Iron-Sulfur Cluster Scaffold (NFU1) have previously been associated with multiple mitochondrial dysfunctions syndrome 1 (MMDS1) characterized by early-onset rapidly fatal leukoencephalopathy. We report 19 affected individuals from 10 independent families with ultra-rare bi-allelic NFU1 missense variants associated with a spectrum of early-onset pure to complex hereditary spastic paraplegia (HSP) phenotype with a longer survival (16/19) on one end and neurodevelopmental delay with severe hypotonia (3/19) on the other. Reversible or irreversible neurological decompensation after a febrile illness was common in the cohort, and there were invariable white matter abnormalities on neuroimaging. The study suggests that MMDS1 and HSP could be the two ends of the NFU1-related phenotypic continuum.
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Affiliation(s)
- Rauan Kaiyrzhanov
- Department of Neuromuscular DisordersUCL Queen Square Institute of NeurologyLondonWC1N 3BGUK
| | - Maha S. Zaki
- Human Genetics and Genome Research Division, Clinical Genetics DepartmentNational Research CentreCairoEgypt
| | - Tracy Lau
- Department of Neuromuscular DisordersUCL Queen Square Institute of NeurologyLondonWC1N 3BGUK
| | - Sambuddha Sen
- Department of Chemistry and BiochemistryThe Ohio State University100 West 18th AvenueColumbusOhio43210USA
| | - Reza Azizimalamiri
- Department of Paediatric Neurology, Golestan, Medical, Educational, and Research CenterAhvaz Jundishapur University of Medical SciencesAhvazIran
| | - Mina Zamani
- Department of Biology, Faculty of ScienceShahid Chamran University of AhvazAhvazIran
| | - Gözde Yeşil Sayin
- Department of Medical Genetics, Istanbul Faculty of MedicineIstanbul UniversityIstanbul34098Turkey
| | - Taru Hilander
- Genetics Section, Molecular and Clinical SciencesSt George's, University of LondonLondonUK
| | - Stephanie Efthymiou
- Department of Neuromuscular DisordersUCL Queen Square Institute of NeurologyLondonWC1N 3BGUK
| | - Viorica Chelban
- Department of Neuromuscular DisordersUCL Queen Square Institute of NeurologyLondonWC1N 3BGUK
| | - Ruth Brown
- Oxford Medical Genetics LaboratoriesThe Churchill HospitalOxfordOX3 7LJUK
| | - Kyle Thompson
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research InstituteFaculty of Medical Sciences Newcastle UniversityNewcastle upon TyneNE2 4HHUK
| | - Maria Irene Scarano
- Division of Genetics, Cooper Health SystemChildren's Regional HospitalSheridan Pavilion CamdenNew Jersy08103USA
| | - Jaya Ganesh
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Kairgali Koneev
- Department of Neurology and NeurosurgeryAsfendiyarov Kazakh National Medical UniversityAlmaty050000Kazakhstan
| | - Ismail Musab Gülaçar
- Department of Medical Genetics, Istanbul Faculty of MedicineIstanbul UniversityIstanbul34098Turkey
- Department of GeneticsInstitute of Graduate Studies in Health Sciences, Istanbul UniversityIstanbul34098Turkey
| | | | | | - Yerdan Maidyrov
- Department of Neurology and NeurosurgeryAsfendiyarov Kazakh National Medical UniversityAlmaty050000Kazakhstan
| | - Tahereh Seifi
- Department of Biology, Faculty of ScienceShahid Chamran University of AhvazAhvazIran
| | - Aizhan Zadagali
- L.N. Gumilyov Eurasian National UniversityNur‐SultanKazakhstan
| | - Geneviève Bernard
- Departments of Neurology and Neurosurgery, Pediatrics and Human GeneticsMcGill UniversityMontrealCanada
- Division of Medical Genetics, Department Specialized MedicineMcGill University Health CentreMontrealCanada
- Child Health and Human Development ProgramResearch Institute of the McGill University Health CentreMontrealCanada
| | | | | | | | - Ehsan Taghiabadi
- Skin and Stem Cell Research Center, Tehran University of Medical SciencesTehranIran
| | - Sumit Verma
- Department of NeurologyEmory University School of MedicineGeorgiaAtlantaUSA
| | - Rachel Logan
- Division of NeurosciencesChildren's Healthcare of AtlantaAtlantaGeorgiaUSA
| | - Brian Kirmse
- Division of GeneticsUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | | | | | - Mohamed S. Abdel‐Hamid
- Medical Molecular Genetics DepartmentHuman Genetics and Genome Research Institute, National Research CentreCairoEgypt
| | - Alireza Sedaghat
- Health Research Institute, Diabetes Research CenterAhvaz Jundishapur University of Medical SciencesAhvazIran
| | - Gholamreza Shariati
- Department of Medical Genetics, Faculty of MedicineAhvaz Jundishapur University of Medical SciencesAhvazIran
- Narges Medical Genetics and Prenatal Diagnosis LaboratoryEast Mihan Ave., KianparsAhvazIran
| | - Mahmoud Issa
- Human Genetics and Genome Research Division, Clinical Genetics DepartmentNational Research CentreCairoEgypt
| | - Jawaher Zeighami
- Narges Medical Genetics and Prenatal Diagnosis LaboratoryEast Mihan Ave., KianparsAhvazIran
| | - Hasnaa M. Elbendary
- Human Genetics and Genome Research Division, Clinical Genetics DepartmentNational Research CentreCairoEgypt
| | - Garry Brown
- Oxford Medical Genetics LaboratoriesThe Churchill HospitalOxfordOX3 7LJUK
| | - Robert W. Taylor
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research InstituteFaculty of Medical Sciences Newcastle UniversityNewcastle upon TyneNE2 4HHUK
- NHS Highly Specialised Service for Rare Mitochondrial DisordersNewcastle upon Tyne Hospitals NHS Foundation TrustNewcastle upon TyneNE1 4LPUK
| | - Hamid Galehdari
- Department of Biology, Faculty of ScienceShahid Chamran University of AhvazAhvazIran
| | - Joseph J. Gleeson
- Department of NeurosciencesUniversity of California, San DiegoLa JollaCalifornia92093USA
- Rady Children's Institute for Genomic MedicineSan DiegoCalifornia92025USA
| | - Christopher J. Carroll
- Genetics Section, Molecular and Clinical SciencesSt George's, University of LondonLondonUK
| | - James A. Cowan
- Department of Chemistry and BiochemistryThe Ohio State University100 West 18th AvenueColumbusOhio43210USA
| | - Andres Moreno‐De‐Luca
- Department of RadiologyAutism & Developmental Medicine Institute, Genomic Medicine InstituteGeisingerDanvillePennsylvania17822USA
| | - Henry Houlden
- Department of Neuromuscular DisordersUCL Queen Square Institute of NeurologyLondonWC1N 3BGUK
| | - Reza Maroofian
- Department of Neuromuscular DisordersUCL Queen Square Institute of NeurologyLondonWC1N 3BGUK
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6
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Gaul W, Sadykova D, White HJ, León‐Sánchez L, Caplat P, Emmerson MC, Yearsley JM. Modelling the distribution of rare invertebrates by correcting class imbalance and spatial bias. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13619] [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: 11/29/2022] Open
Affiliation(s)
- Willson Gaul
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
- Northern Marianas College Saipan Northern Mariana Islands USA
| | - Dinara Sadykova
- School of Biological Sciences The Queen's University Belfast Belfast UK
- UK Centre for Ecology and Hydrology Wallingford UK
| | - Hannah J. White
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
- School of Life Sciences Anglia Ruskin University Cambridge UK
| | - Lupe León‐Sánchez
- School of Biological Sciences The Queen's University Belfast Belfast UK
| | - Paul Caplat
- School of Biological Sciences The Queen's University Belfast Belfast UK
| | - Mark C. Emmerson
- School of Biological Sciences The Queen's University Belfast Belfast UK
| | - Jon M. Yearsley
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
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7
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Sadykov A, Farnsworth K, Sadykova D, Stenseth NC. The transfer function method reveals how age‐structured populations respond to environmental fluctuations with serious implications for fisheries management. POPUL ECOL 2022. [DOI: 10.1002/1438-390x.12124] [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: 11/06/2022]
Affiliation(s)
- Alexander Sadykov
- School of Biological Sciences Queen's University Belfast Belfast UK
- The Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
| | - Keith Farnsworth
- School of Biological Sciences Queen's University Belfast Belfast UK
| | | | - Nils C. Stenseth
- The Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
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8
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Carvell C, Mitschunas N, McDonald R, Hulmes S, Hulmes L, O'Connor RS, Garratt MP, Potts SG, Fountain MT, Sadykova D, Edwards M, Nowakowski M, Pywell RF, Redhead JW. Establishment and management of wildflower areas for insect pollinators in commercial orchards. Basic Appl Ecol 2022; 58:2-14. [PMID: 35115899 PMCID: PMC8752464 DOI: 10.1016/j.baae.2021.11.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 11/07/2021] [Indexed: 11/17/2022]
Abstract
Sown wildflower areas are increasingly recommended as an agri-environmental intervention measure, but evidence for their success is limited to particular insect groups or hampered by the challenges of establishing seed mixes and maintaining flower abundance over time. We conducted a replicated experiment to establish wildflower areas to support insect pollinators in apple orchards. Over three years, and across 23 commercial UK orchards with and without sown wildflowers, we conducted 828 transect surveys across various non-crop habitats. We found that the abundance of flower-visiting solitary bees, bumblebees, honeybees, and beetles was increased in sown wildflower areas, compared with existing non-crop habitats in control orchards, from the second year following floral establishment. Abundance of hoverflies and other non-syrphid flies was increased in wildflower areas from the first year. Beyond the effect of wildflower areas, solitary bee abundance was also positively related to levels of floral cover in other local habitats within orchards, but neither local nor wider landscape-scale context affected abundance of other studied insect taxa within study orchards. There was a change in plant community composition on the sown wildflower areas between years, and in patterns of flowering within and between years, showing a succession from unsown weedy species towards a dominance of sown species over time. We discuss how the successful establishment of sown wildflower areas and delivery of benefits for different insect taxa relies on appropriate and reactive management practices as a key component of any such agri-environment scheme.
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9
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White HJ, Gaul W, León‐Sánchez L, Sadykova D, Emmerson MC, Caplat P, Yearsley JM. Ecosystem stability at the landscape scale is primarily associated with climatic history. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13957] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hannah J. White
- School of Life Sciences Anglia Ruskin University Cambridge UK
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
| | - Willson Gaul
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
| | | | - Dinara Sadykova
- School of Biological Sciences Queen's University Belfast Belfast UK
- Centre for Ecology and Hydrology Wallingford UK
| | - Mark C. Emmerson
- School of Biological Sciences Queen's University Belfast Belfast UK
- Institute of Global Food Security (IGFS) Queen's University Belfast Belfast UK
| | - Paul Caplat
- School of Biological Sciences Queen's University Belfast Belfast UK
- Institute of Global Food Security (IGFS) Queen's University Belfast Belfast UK
- Centre for Environmental and Climate Research Lund University Lund Sweden
| | - Jon M. Yearsley
- School of Biology and Environmental Science University College Dublin Dublin Ireland
- Earth Institute University College Dublin Dublin Ireland
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10
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Arafat A, Sadykova D, Ziatdinov A, Senek S, Samoilova N, Makarova T. COVID-19, Acute Lymphoblastic Leukemia, and Down Syndrome: A Short Review and a Case Report. Case Rep Oncol 2021; 14:1031-1039. [PMID: 34326739 PMCID: PMC8299389 DOI: 10.1159/000516442] [Citation(s) in RCA: 1] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/01/2021] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2 which causes COVID-19 has been a great challenge to treat and deal with; despite strict measures that had been implemented by governments and organizations, worrying rates of morbidity and mortality are still being reported. Although available data have expressed that moderate or even mild forms of the disease are expected amongst most pediatrics cases, minimal data are available on the prognosis and the disease's complications on the immunocompromised, especially oncology patients. We report a case of relapsed precursor B-cell acute lymphoblastic leukemia of a child with Down syndrome and COVID-19 and outline the treatment regimen that we used.
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Affiliation(s)
- Ahmed Arafat
- Kazan State Medical University, Kazan, Russian Federation.,Children's Republican Clinical Hospital, Kazan, Russian Federation
| | - Dinara Sadykova
- Kazan State Medical University, Kazan, Russian Federation.,Children's Republican Clinical Hospital, Kazan, Russian Federation
| | - Ayrat Ziatdinov
- Kazan State Medical University, Kazan, Russian Federation.,Children's Republican Clinical Hospital, Kazan, Russian Federation
| | - Svetlana Senek
- Kazan State Medical University, Kazan, Russian Federation.,Children's Republican Clinical Hospital, Kazan, Russian Federation
| | - Natalya Samoilova
- Kazan State Medical University, Kazan, Russian Federation.,Children's Republican Clinical Hospital, Kazan, Russian Federation
| | - Tamara Makarova
- Kazan State Medical University, Kazan, Russian Federation.,Children's Republican Clinical Hospital, Kazan, Russian Federation
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11
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Boytsov S, Katapano A, Barbarash O, Yezhov M, Meshkov A, Voevoda M, Gurevich V, Kashtalap V, Duplyakov D, Vezikova N, Sadykova D. Actual issues of lipid centers’ operation in Russian Federation. Cardiovasc Ther Prev 2021. [DOI: 10.15829/1728-8800-2021-2759] [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: 12/01/2022] Open
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12
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Gaul W, Sadykova D, White HJ, Leon-Sanchez L, Caplat P, Emmerson MC, Yearsley JM. Data quantity is more important than its spatial bias for predictive species distribution modelling. PeerJ 2020; 8:e10411. [PMID: 33312769 PMCID: PMC7703440 DOI: 10.7717/peerj.10411] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 06/09/2020] [Accepted: 11/02/2020] [Indexed: 11/22/2022] Open
Abstract
Biological records are often the data of choice for training predictive species distribution models (SDMs), but spatial sampling bias is pervasive in biological records data at multiple spatial scales and is thought to impair the performance of SDMs. We simulated presences and absences of virtual species as well as the process of recording these species to evaluate the effect on species distribution model prediction performance of (1) spatial bias in training data, (2) sample size (the average number of observations per species), and (3) the choice of species distribution modelling method. Our approach is novel in quantifying and applying real-world spatial sampling biases to simulated data. Spatial bias in training data decreased species distribution model prediction performance, but sample size and the choice of modelling method were more important than spatial bias in determining the prediction performance of species distribution models.
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Affiliation(s)
- Willson Gaul
- School of Biology and Environmental Science, Earth Institute, University College Dublin, Dublin, Ireland
| | - Dinara Sadykova
- School of Biological Sciences, The Queen's University Belfast, Belfast, United Kingdom
| | - Hannah J White
- School of Biology and Environmental Science, Earth Institute, University College Dublin, Dublin, Ireland
| | - Lupe Leon-Sanchez
- School of Biological Sciences, The Queen's University Belfast, Belfast, United Kingdom
| | - Paul Caplat
- School of Biological Sciences, The Queen's University Belfast, Belfast, United Kingdom
| | - Mark C Emmerson
- School of Biological Sciences, The Queen's University Belfast, Belfast, United Kingdom
| | - Jon M Yearsley
- School of Biology and Environmental Science, Earth Institute, University College Dublin, Dublin, Ireland
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13
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Gaul W, Sadykova D, Roark E, White HJ, León-Sánchez L, Caplat P, Yearsley JM. What have biological records ever done for us? A systematic scoping review. Frontiers of Biogeography 2020. [DOI: 10.21425/f5fbg48607] [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: 12/01/2022] Open
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14
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White HJ, Gaul W, Sadykova D, León‐Sánchez L, Caplat P, Emmerson MC, Yearsley JM. Quantifying large-scale ecosystem stability with remote sensing data. Remote Sens Ecol Conserv 2020; 6:354-365. [PMID: 33133633 PMCID: PMC7582121 DOI: 10.1002/rse2.148] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 12/17/2019] [Accepted: 01/17/2020] [Indexed: 06/11/2023]
Abstract
To fully understand ecosystem functioning under global change, we need to be able to measure the stability of ecosystem functioning at multiple spatial scales. Although a number of stability components have been established at small spatial scales, there has been little progress in scaling these measures up to the landscape. Remote sensing data holds huge potential for studying processes at landscape scales but requires quantitative measures that are comparable from experimental field data to satellite remote sensing. Here we present a methodology to extract four components of ecosystem functioning stability from satellite-derived time series of Enhanced Vegetation Index (EVI) data. The four stability components are as follows: variability, resistance, recovery time and recovery rate in ecosystem functioning. We apply our method to the island of Ireland to demonstrate the use of remotely sensed data to identify large disturbance events in productivity. Our method uses stability measures that have been established at the field-plot scale to quantify the stability of ecosystem functioning. This makes our method consistent with previous small-scale stability research, whilst dealing with the unique challenges of using remotely sensed data including noise. We encourage the use of remotely-sensed data in assessing the stability of ecosystems at a scale that is relevant to conservation and management practices.
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Affiliation(s)
- Hannah J. White
- School of Biology and Environmental ScienceUniversity College DublinDublinIreland
- UCD Earth InstituteUniversity College DublinDublinIreland
| | - Willson Gaul
- School of Biology and Environmental ScienceUniversity College DublinDublinIreland
- UCD Earth InstituteUniversity College DublinDublinIreland
| | - Dinara Sadykova
- School of Biological SciencesQueen's University BelfastBelfastUnited Kingdom
| | - Lupe León‐Sánchez
- School of Biological SciencesQueen's University BelfastBelfastUnited Kingdom
| | - Paul Caplat
- School of Biological SciencesQueen's University BelfastBelfastUnited Kingdom
- Institute of Global Food Security (IGFS)Queen's University BelfastBelfastUnited Kingdom
| | - Mark C. Emmerson
- School of Biological SciencesQueen's University BelfastBelfastUnited Kingdom
- Institute of Global Food Security (IGFS)Queen's University BelfastBelfastUnited Kingdom
| | - Jon M. Yearsley
- School of Biology and Environmental ScienceUniversity College DublinDublinIreland
- UCD Earth InstituteUniversity College DublinDublinIreland
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15
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Meiramova A, Rib Y, Sadykova D, Issilbayeva A, Ainabay A. DEPENDENCE OF BLOOD PRESSURE REACTIONS ON METEOROLOGICAL PARAMETERS IN VARIOUS AGE GROUPS. Georgian Med News 2020:72-79. [PMID: 32841185] [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: 06/11/2023]
Abstract
Climate plays an essential role in the blood pressure (BP) regulation. BP seasonal fluctuations are often explained by meteorological factors, such as changes of outdoor temperature and etc. The 260 cases of BP monitoring of patients with uncomplicated hypertensive crisis were analyzed. We studied the daily fluctuations of climate data indicators reflected in 4-hour intervals. Data analysis was performed considering unmodifiable risk factors for hypertension: age and gender. In the young age group, the daily average SBP was 131, in the middle age group - 130.5, in the elderly group-136.3 mmHg., p=0.000. 4-hourly mean values of SBP were higher in the older group and their correlations with meteorological elements were more significant. A multi-dimensional regression model, which included temperature, atmospheric pressure, relative humidity and horizontal visibility had an r square of 25%. Comparison by gender showed that the daily average SBP was higher in women, but a statistically significant regression model couldn`t be obtained. The results showed the presence of greater sensitivity to climatic and meteorological fluctuations for individuals, aged ≥ 60.
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Affiliation(s)
- A Meiramova
- JSC "Medical University of Astana", Department of Internal Medicine №2, Nur-Sultan, Kazakhstan
| | - Y Rib
- JSC "Medical University of Astana", Department of Internal Medicine №2, Nur-Sultan, Kazakhstan
| | - D Sadykova
- JSC "Medical University of Astana", Department of Internal Medicine №2, Nur-Sultan, Kazakhstan
| | - A Issilbayeva
- JSC "Medical University of Astana", Department of Internal Medicine №2, Nur-Sultan, Kazakhstan
| | - A Ainabay
- JSC "Medical University of Astana", Department of Internal Medicine №2, Nur-Sultan, Kazakhstan
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16
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Sadykova D, Scott BE, De Dominicis M, Wakelin SL, Wolf J, Sadykov A. Ecological costs of climate change on marine predator-prey population distributions by 2050. Ecol Evol 2020; 10:1069-1086. [PMID: 32015865 PMCID: PMC6988555 DOI: 10.1002/ece3.5973] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [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: 12/18/2018] [Revised: 12/08/2019] [Accepted: 12/18/2019] [Indexed: 11/06/2022] Open
Abstract
Identifying and quantifying the effects of climate change that alter the habitat overlap of marine predators and their prey population distributions is of great importance for the sustainable management of populations. This study uses Bayesian joint models with integrated nested Laplace approximation (INLA) to predict future spatial density distributions in the form of common spatial trends of predator-prey overlap in 2050 under the "business-as-usual, worst-case" climate change scenario. This was done for combinations of six mobile marine predator species (gray seal, harbor seal, harbor porpoise, common guillemot, black-legged kittiwake, and northern gannet) and two of their common prey species (herring and sandeels). A range of five explanatory variables that cover both physical and biological aspects of critical marine habitat were used as follows: bottom temperature, stratification, depth-averaged speed, net primary production, and maximum subsurface chlorophyll. Four different methods were explored to quantify relative ecological cost/benefits of climate change to the common spatial trends of predator-prey density distributions. All but one future joint model showed significant decreases in overall spatial percentage change. The most dramatic loss in predator-prey population overlap was shown by harbor seals with large declines in the common spatial trend for both prey species. On the positive side, both gannets and guillemots are projected to have localized regions with increased overlap with sandeels. Most joint predator-prey models showed large changes in centroid location, however the direction of change in centroids was not simply northwards, but mostly ranged from northwest to northeast. This approach can be very useful in informing the design of spatial management policies under climate change by using the potential differences in ecological costs to weigh up the trade-offs in decisions involving issues of large-scale spatial use of our oceans, such as marine protected areas, commercial fishing, and large-scale marine renewable developments.
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Affiliation(s)
- Dinara Sadykova
- Institute of Biological and Environmental SciencesUniversity of AberdeenAberdeenUK
- School of Biological SciencesQueen's University BelfastBelfastUK
| | - Beth E. Scott
- Institute of Biological and Environmental SciencesUniversity of AberdeenAberdeenUK
| | | | | | | | - Alexander Sadykov
- Institute of Biological and Environmental SciencesUniversity of AberdeenAberdeenUK
- School of Biological SciencesQueen's University BelfastBelfastUK
- Centre for Ecological and Evolutionary SynthesisUniversity of OsloOsloNorway
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17
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Galimova L, Sadykova D, Slastnikova E. Changes In Aortic Stiffness In Children With Heterozygous Familial Hypercholesterolemia. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.302] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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18
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Slastnikova E, Sadykova D, Leontyeva I, Galimova L, Shakirova A, Khabibrakhmanova Z. Clinical Case Of Familial Hypercholesterolemia And Hereditary Pancreatitis In Child. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.632] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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19
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White HJ, Gaul W, Sadykova D, León-Sánchez L, Caplat P, Emmerson MC, Yearsley JM. Land cover drives large scale productivity-diversity relationships in Irish vascular plants. PeerJ 2019; 7:e7035. [PMID: 31183258 PMCID: PMC6546085 DOI: 10.7717/peerj.7035] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 04/28/2019] [Indexed: 11/20/2022] Open
Abstract
The impact of productivity on species diversity is often studied at small spatial scales and without taking additional environmental factors into account. Focusing on small spatial scales removes important regional scale effects, such as the role of land cover heterogeneity. Here, we use a regional spatial scale (10 km square) to establish the relationship between productivity and vascular plant species richness across the island of Ireland that takes into account variation in land cover. We used generalized additive mixed effects models to relate species richness, estimated from biological records, to plant productivity. Productivity was quantified by the satellite-derived enhanced vegetation index. The productivity-diversity relationship was fitted for three land cover types: pasture-dominated, heterogeneous, and non-pasture-dominated landscapes. We find that species richness decreases with increasing productivity, especially at higher productivity levels. This decreasing relationship appears to be driven by pasture-dominated areas. The relationship between species richness and heterogeneity in productivity (both spatial and temporal) varies with land cover. Our results suggest that the impact of pasture on species richness extends beyond field level. The effect of human modified landscapes, therefore, is important to consider when investigating classical ecological relationships, particularly at the wider landscape scale.
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Affiliation(s)
- Hannah J. White
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Willson Gaul
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Dinara Sadykova
- School of Biological Sciences, Queen’s University Belfast, Belfast, UK
| | - Lupe León-Sánchez
- School of Biological Sciences, Queen’s University Belfast, Belfast, UK
| | - Paul Caplat
- School of Biological Sciences, Queen’s University Belfast, Belfast, UK
- Institute of Global Food Security, Queen’s University Belfast, Belfast, UK
| | - Mark C. Emmerson
- School of Biological Sciences, Queen’s University Belfast, Belfast, UK
- Institute of Global Food Security, Queen’s University Belfast, Belfast, UK
| | - Jon M. Yearsley
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
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Galimova L, Sadykova D, Leonteva I, Slastnikova E. Estimation of the intima-media thickness of the common carotid artery in children with familial hypercholesterolemia. Atherosclerosis 2018. [DOI: 10.1016/j.atherosclerosis.2018.06.702] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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21
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Slastnikova E, Sadykova D, Shakirova A, Khabibrakhmanova Z, Krinitskaya N, Pecheritsa O, Galimova L. Hypercholesterolemia and diabetes mellitus type I: Clinical case. Atherosclerosis 2018. [DOI: 10.1016/j.atherosclerosis.2018.06.621] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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22
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Isojunno S, Sadykova D, DeRuiter S, Curé C, Visser F, Thomas L, Miller PJO, Harris CM. Individual, ecological, and anthropogenic influences on activity budgets of long‐finned pilot whales. Ecosphere 2017. [DOI: 10.1002/ecs2.2044] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- S. Isojunno
- Sea Mammal Research Unit Scottish Oceans Institute University of St Andrews St Andrews, Fife KY16 8LB UK
- Centre for Research into Ecological & Environmental Modelling (CREEM) The Observatory, Buchanan Gardens University of St Andrews St Andrews, Fife KY169LZ UK
| | - D. Sadykova
- Institute of Biological and Environmental Sciences School of Biological Sciences University of Aberdeen Tillydrone Avenue Aberdeen AB24 2TZ UK
- School of Biological Sciences Queen's University Belfast 97 Lisburn Road Belfast BT9 7BL UK
| | - S. DeRuiter
- Mathematics and Statistics Department Calvin College Grand Rapids Michigan 49546 USA
| | - C. Curé
- Cerema, DTer Est Acoustics Group F‐67035 Strasbourg Cedex 2 France
| | - F. Visser
- Kelp Marine Research Loniusstraat 9 1624 CJ Hoorn The Netherlands
- Behavioural Biology Institute of Biology Leiden University P.O. Box 9505 2300 RA Leiden The Netherlands
| | - L. Thomas
- Centre for Research into Ecological & Environmental Modelling (CREEM) The Observatory, Buchanan Gardens University of St Andrews St Andrews, Fife KY169LZ UK
| | - P. J. O. Miller
- Sea Mammal Research Unit Scottish Oceans Institute University of St Andrews St Andrews, Fife KY16 8LB UK
| | - C. M. Harris
- Centre for Research into Ecological & Environmental Modelling (CREEM) The Observatory, Buchanan Gardens University of St Andrews St Andrews, Fife KY169LZ UK
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23
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Sadykova D, Scott BE, De Dominicis M, Wakelin SL, Sadykov A, Wolf J. Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap. Ecol Evol 2017; 7:5212-5226. [PMID: 29242741 PMCID: PMC5528225 DOI: 10.1002/ece3.3081] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [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: 12/02/2016] [Revised: 04/05/2017] [Accepted: 05/08/2017] [Indexed: 11/09/2022] Open
Abstract
Understanding spatial physical habitat selection driven by competition and/or predator–prey interactions of mobile marine species is a fundamental goal of spatial ecology. However, spatial counts or density data for highly mobile animals often (1) include excess zeros, (2) have spatial correlation, and (3) have highly nonlinear relationships with physical habitat variables, which results in the need for complex joint spatial models. In this paper, we test the use of Bayesian hierarchical hurdle and zero‐inflated joint models with integrated nested Laplace approximation (INLA), to fit complex joint models to spatial patterns of eight mobile marine species (grey seal, harbor seal, harbor porpoise, common guillemot, black‐legged kittiwake, northern gannet, herring, and sandeels). For each joint model, we specified nonlinear smoothed effect of physical habitat covariates and selected either competing species or predator–prey interactions. Out of a range of six ecologically important physical and biologic variables that are predicted to change with climate change and large‐scale energy extraction, we identified the most important habitat variables for each species and present the relationships between these bio/physical variables and species distributions. In particular, we found that net primary production played a significant role in determining habitat preferences of all the selected mobile marine species. We have shown that the INLA method is well‐suited for modeling spatially correlated data with excessive zeros and is an efficient approach to fit complex joint spatial models with nonlinear effects of covariates. Our approach has demonstrated its ability to define joint habitat selection for both competing and prey–predator species that can be relevant to numerous issues in the management and conservation of mobile marine species.
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Affiliation(s)
- Dinara Sadykova
- Institute of Biological and Environmental Sciences University of Aberdeen Aberdeen UK.,School of Biological Sciences Queen's University Belfast Belfast UK
| | - Beth E Scott
- Institute of Biological and Environmental Sciences University of Aberdeen Aberdeen UK
| | | | | | - Alexander Sadykov
- The Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
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Harris CM, Sadykova D, DeRuiter SL, Tyack PL, Miller PJO, Kvadsheim PH, Lam FPA, Thomas L. Dose response severity functions for acoustic disturbance in cetaceans using recurrent event survival analysis. Ecosphere 2015. [DOI: 10.1890/es15-00242.1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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25
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DeRuiter SL, Southall BL, Calambokidis J, Zimmer WMX, Sadykova D, Falcone EA, Friedlaender AS, Joseph JE, Moretti D, Schorr GS, Thomas L, Tyack PL. First direct measurements of behavioural responses by Cuvier's beaked whales to mid-frequency active sonar. Biol Lett 2013; 9:20130223. [PMID: 23825085 PMCID: PMC3730631 DOI: 10.1098/rsbl.2013.0223] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [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] [Indexed: 11/22/2022] Open
Abstract
Most marine mammal strandings coincident with naval sonar exercises have involved Cuvier's beaked whales (Ziphius cavirostris). We recorded animal movement and acoustic data on two tagged Ziphius and obtained the first direct measurements of behavioural responses of this species to mid-frequency active (MFA) sonar signals. Each recording included a 30-min playback (one 1.6-s simulated MFA sonar signal repeated every 25 s); one whale was also incidentally exposed to MFA sonar from distant naval exercises. Whales responded strongly to playbacks at low received levels (RLs; 89–127 dB re 1 µPa): after ceasing normal fluking and echolocation, they swam rapidly, silently away, extending both dive duration and subsequent non-foraging interval. Distant sonar exercises (78–106 dB re 1 µPa) did not elicit such responses, suggesting that context may moderate reactions. The observed responses to playback occurred at RLs well below current regulatory thresholds; equivalent responses to operational sonars could elevate stranding risk and reduce foraging efficiency.
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Affiliation(s)
- Stacy L DeRuiter
- Centre for Research into Ecological and Environmental Modelling, Scottish Oceans Institute, University of St Andrews, , St Andrews, UK
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26
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Schweder T, Sadykova D. Information dynamics and optimal sampling in capture-recapture. Biometrika 2012. [DOI: 10.1093/biomet/ass001] [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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