SimpleXMLElement Object ( [PubmedArticle] => Array ( [0] => SimpleXMLElement Object ( [MedlineCitation] => SimpleXMLElement Object ( [@attributes] => Array ( [Status] => Publisher [Owner] => NLM ) [PMID] => 33631853 [DateRevised] => SimpleXMLElement Object ( [Year] => 2021 [Month] => 02 [Day] => 25 ) [Article] => SimpleXMLElement Object ( [@attributes] => Array ( [PubModel] => Print ) [Journal] => SimpleXMLElement Object ( [ISSN] => 1445-5994 [JournalIssue] => SimpleXMLElement Object ( [@attributes] => Array ( [CitedMedium] => Internet ) [Volume] => 51 [Issue] => 2 [PubDate] => SimpleXMLElement Object ( [Year] => 2021 [Month] => Feb ) ) [Title] => Internal medicine journal [ISOAbbreviation] => Intern Med J ) [ArticleTitle] => Current issues in the prevalence, diagnosis and management of hepatocellular carcinoma in Australia. [Pagination] => SimpleXMLElement Object ( [MedlinePgn] => 181-188 ) [ELocationID] => 10.1111/imj.15184 [Abstract] => SimpleXMLElement Object ( [AbstractText] => Hepatocellular carcinoma (HCC) is the commonest primary liver cancer encountered in the community and a leading cause of cancer morbidity and mortality. In Australia, there are several current important issues that need to be addressed in HCC management. There is a dramatically rising incidence of HCC in Australia with comparatively poorer outcomes in remote regions and in socioeconomic disadvantaged groups. Aboriginal people have a greater incidence of HCC on a background of increased liver disease prevalence and face several barriers to delivery of better healthcare outcomes compared to other Australians. The previously adopted use of imaging alone to diagnose HCC is now being challenged with biopsy likely to become increasingly necessary with the increased uptake of personalised medicine management. Managing HCC is complex involving many disciplines with the multidisciplinary team approach being the current accepted standard of care for patients. New immunotherapy combinations promise to offer patients with advanced HCC promising novel management options. However, the Australian inequities in prevalence, diagnosis and service provision, especially in Aboriginal people, need to be redressed concurrently with the adoption of new HCC management options. [CopyrightInformation] => © 2021 Royal Australasian College of Physicians. ) [AuthorList] => SimpleXMLElement Object ( [@attributes] => Array ( [CompleteYN] => Y ) [Author] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Lubel [ForeName] => John S [Initials] => JS [AffiliationInfo] => Array ( [0] => SimpleXMLElement Object ( [Affiliation] => Department of Gastroenterology, Alfred Hospital, Melbourne, Victoria, Australia. ) [1] => SimpleXMLElement Object ( [Affiliation] => Central Clinical School, Monash University, Melbourne, Victoria, Australia. ) ) ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Roberts [ForeName] => Stuart K [Initials] => SK [AffiliationInfo] => Array ( [0] => SimpleXMLElement Object ( [Affiliation] => Department of Gastroenterology, Alfred Hospital, Melbourne, Victoria, Australia. ) [1] => SimpleXMLElement Object ( [Affiliation] => Central Clinical School, Monash University, Melbourne, Victoria, Australia. ) ) ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Howell [ForeName] => Jessica [Initials] => J [AffiliationInfo] => Array ( [0] => SimpleXMLElement Object ( [Affiliation] => Department of Gastroenterology, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia. ) [1] => SimpleXMLElement Object ( [Affiliation] => Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia. ) [2] => SimpleXMLElement Object ( [Affiliation] => Disease Elimination Program, Burnet Institute, Melbourne, Victoria, Australia. ) [3] => SimpleXMLElement Object ( [Affiliation] => Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. ) ) ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Ward [ForeName] => James [Initials] => J [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => School of Public Health, University of Queensland, Brisbane, Queensland, Australia. ) ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Shackel [ForeName] => Nichols A [Initials] => NA [Identifier] => https://orcid.org/0000-0001-6441-7145 [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => ANZAC Institute Concord Hospital, Sydney, New South Wales, Australia. ) ) ) ) [Language] => eng [PublicationTypeList] => SimpleXMLElement Object ( [PublicationType] => Journal Article ) ) [MedlineJournalInfo] => SimpleXMLElement Object ( [Country] => Australia [MedlineTA] => Intern Med J [NlmUniqueID] => 101092952 [ISSNLinking] => 1444-0903 ) [CitationSubset] => IM [KeywordList] => SimpleXMLElement Object ( [@attributes] => Array ( [Owner] => NOTNLM ) [Keyword] => Array ( [0] => Aboriginal [1] => cirrhosis [2] => hepatocellular carcinoma [3] => liver [4] => liver cancer [5] => multidisciplinary meetiing ) ) ) [PubmedData] => SimpleXMLElement Object ( [History] => SimpleXMLElement Object ( [PubMedPubDate] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => received ) [Year] => 2020 [Month] => 09 [Day] => 03 ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => revised ) [Year] => 2020 [Month] => 11 [Day] => 23 ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => accepted ) [Year] => 2020 [Month] => 11 [Day] => 25 ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => entrez ) [Year] => 2021 [Month] => 2 [Day] => 25 [Hour] => 20 [Minute] => 19 ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => pubmed ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => medline ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) ) ) [PublicationStatus] => ppublish [ArticleIdList] => SimpleXMLElement Object ( [ArticleId] => Array ( [0] => 33631853 [1] => 10.1111/imj.15184 ) ) [ReferenceList] => SimpleXMLElement Object ( [Title] => References [Reference] => Array ( [0] => SimpleXMLElement Object ( [Citation] => The Lancet. GLOBOCAN 2018: counting the toll of cancer. Lancet 2018; 392: 985. ) [1] => SimpleXMLElement Object ( [Citation] => Lubel JS, Roberts SK, Strasser SI, Thompson AJ, Philip J, Goodwin M et al. Australian recommendations for the management of hepatocellular carcinoma: a consensus statement. Med J Aust 2020. doi:10.5694/mja2.508855. ) [2] => SimpleXMLElement Object ( [Citation] => Wallace MC, Preen DB, Short MW, Adams LA, Jeffrey GP. Hepatocellular carcinoma in Australia 1982-2014: increasing incidence and improving survival. Liver Int 2019; 39: 522-30. ) [3] => SimpleXMLElement Object ( [Citation] => Valery PC, Laversanne M, Clark PJ, Petrick JL, McGlynn KA, Bray F. Projections of primary liver cancer to 2030 in 30 countries worldwide. Hepatology 2018; 67: 600-11. ) [4] => SimpleXMLElement Object ( [Citation] => Wong MCS, Huang JLW, George J, Huang J, Leung C, Eslam M et al. The changing epidemiology of liver diseases in the Asia-Pacific region. Nat Rev Gastroenterol Hepatol 2019; 16: 57-73. ) [5] => SimpleXMLElement Object ( [Citation] => Wilson LF, Baade PD, Green AC, Jordan SJ, Kendall BJ, Neale RE et al. The impact of changing the prevalence of overweight/obesity and physical inactivity in Australia: an estimate of the proportion of potentially avoidable cancers 2013-2037. Int J Cancer 2019; 144: 2088-98. ) [6] => SimpleXMLElement Object ( [Citation] => Australian Institute of Health and Welfare. Cancer in Australia 2019. Cancer Series No 119. Canberra: AIHW; 2019. ) [7] => SimpleXMLElement Object ( [Citation] => Hong TP, Gow P, Fink M, Dev A, Roberts S, Nicoll A et al. Novel population-based study finding higher than reported hepatocellular carcinoma incidence suggests an updated approach is needed. Hepatology 2016; 63: 1205-12. ) [8] => SimpleXMLElement Object ( [Citation] => Clark PJ, Stuart KA, Leggett BA, Crawford DH, Boyd P, Fawcett J et al. Remoteness, race and social disadvantage: disparities in hepatocellular carcinoma incidence and survival in Queensland, Australia. Liver Int 2015; 35: 2584-94. ) [9] => SimpleXMLElement Object ( [Citation] => Parker C, Tong SYC, Dempsey K, Condon J, Sharma SK, Chen JWC et al. Hepatocellular carcinoma in Australia's Northern Territory: high incidence and poor outcome. Med J Aust 2014; 201: 470-4. ) [10] => SimpleXMLElement Object ( [Citation] => Banham D, Roder D, Keefe D, Farshid G, Eckert M, Cargo M et al. Disparities in cancer stage at diagnosis and survival of aboriginal and non-Aboriginal South Australians. Cancer Epidemiol 2017; 48: 131-9. ) [11] => SimpleXMLElement Object ( [Citation] => Graham S, Guy RJ, Cowie B, Wand HC, Donovan B, Akre SP et al. Chronic hepatitis B prevalence among Aboriginal and Torres Strait Islander Australians since universal vaccination: a systematic review and meta-analysis. BMC Infect Dis 2013; 13: 403. ) [12] => SimpleXMLElement Object ( [Citation] => Li M, Roder D, McDermott R. Diabetes and smoking as predictors of cancer in indigenous adults from rural and remote communities of North Queensland - a 15-year follow up study. Int J Cancer 2018; 143: 1054-61. ) [13] => SimpleXMLElement Object ( [Citation] => Graham S, MacLachlan J, Gunaratnam P, Cowie BC. Chronic hepatitis B prevalence in Australian Aboriginal and Torres Strait Islander people before and after implementing a universal vaccination program: a systematic review and meta-analysis. Sex Health 2019; 16: 201-11. ) [14] => SimpleXMLElement Object ( [Citation] => Reekie J, Kaldor JM, Mak DB, Ward J, Donovan B, Hocking JS et al. Long-term impact of childhood hepatitis B vaccination programs on prevalence among Aboriginal and non-Aboriginal women giving birth in Western Australia. Vaccine 2018; 36: 3296-300. ) [15] => SimpleXMLElement Object ( [Citation] => Davies J, Li SQ, Tong SY, Baird RW, Beaman M, Higgins G et al. Establishing contemporary trends in hepatitis B sero-epidemiology in an indigenous population. PLoS One 2017; 12: e0184082. ) [16] => SimpleXMLElement Object ( [Citation] => Graham S, Harrod ME, Iversen J, Simone Hocking J. Prevalence of hepatitis C among Australian Aboriginal and Torres Strait Islander people: a systematic review and meta-analysis. Hepat Mon 2016; 16: e38640. ) [17] => SimpleXMLElement Object ( [Citation] => Howell J, Pedrana A, Cowie BC, Doyle J, Getahun A, Ward J et al. Aiming for the elimination of viral hepatitis in Australia, New Zealand, and the Pacific Islands and territories: where are we now and barriers to meeting World Health Organization targets by 2030. J Gastroenterol Hepatol 2019; 34: 40-8. ) [18] => SimpleXMLElement Object ( [Citation] => Wallace J, Pitts M, Ward J, McNally S. Management of chronic hepatitis B in the Torres Strait Islands: an identified need for a comprehensive public health approach to chronic hepatitis B in remote Australian Indigenous communities. Aust J Prim Health 2014; 20: 273-7. ) [19] => SimpleXMLElement Object ( [Citation] => Treloar C, Hopwood M, Cama E, Saunders V, Jackson LC, Walker M et al. Evaluation of the deadly liver mob program: insights for roll-out and scale-up of a pilot program to engage Aboriginal Australians in hepatitis C and sexual health education, screening, and care. Harm Reduct J 2018; 15: 5. ) [20] => SimpleXMLElement Object ( [Citation] => Oprita R, Diaconescu IB, Lupu G, Lupu A, Cristea B, Bratu MR. Hepatocellular carcinoma among cirrhotics - utility of screening and surveillance programs - review article. J Med Life 2014; 7: 477-80. ) [21] => SimpleXMLElement Object ( [Citation] => Jeffrey GP, Gordon L, Ramm G. Hepatocellular carcinoma surveillance in Australia: time to improve the diagnosis of cirrhosis and use liver ultrasound. Med J Aust 2020; 212: 297e1-9e1. ) [22] => SimpleXMLElement Object ( [Citation] => Forner A, Vilana R, Ayuso C, Bianchi L, Solé M, Ayuso JR et al. Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma. Hepatology 2008; 47: 97-104. ) [23] => SimpleXMLElement Object ( [Citation] => Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med 2014; 11: e1001624. ) [24] => SimpleXMLElement Object ( [Citation] => McGowan CE, Edwards TP, Luong MUT, Hayashi PH. Suboptimal surveillance for and knowledge of hepatocellular carcinoma among primary care providers. Clin Gastroenterol Hepatol 2015; 13: 799-804. ) [25] => SimpleXMLElement Object ( [Citation] => Torbenson M, Schirmacher P. Liver cancer biopsy - back to the future?! Hepatology 2015; 61: 431-3. ) [26] => SimpleXMLElement Object ( [Citation] => El Jabbour T, Lagana SM, Lee H. Update on hepatocellular carcinoma: Pathologists' review. World J Gastroenterol 2019; 25: 1653-65. ) [27] => SimpleXMLElement Object ( [Citation] => Ziol M, Poté N, Amaddeo G, Laurent A, Nault JC, Oberti F et al. Macrotrabecular-massive hepatocellular carcinoma: a distinctive histological subtype with clinical relevance. Hepatology 2018; 68: 103-12. ) [28] => SimpleXMLElement Object ( [Citation] => Hugo W, Zaretsky JM, Sun L, Song C, Moreno BH, Hu-Lieskovan S et al. Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma. Cell 2016; 165: 35-44. ) [29] => SimpleXMLElement Object ( [Citation] => Rizvi H, Sanchez-Vega F, La K, Chatila W, Jonsson P, Halpenny D et al. Molecular determinants of response to anti-programmed cell death (PD)-1 and anti-programmed death-ligand 1 (PD-L1) blockade in patients with non-small-cell lung cancer profiled with targeted next-generation sequencing. J Clin Oncol 2018; 36: 633-41. ) [30] => SimpleXMLElement Object ( [Citation] => Sia D, Jiao Y, Martinez-Quetglas I, Kuchuk O, Villacorta-Martin C, Castro de Moura M et al. Identification of an immune-specific class of hepatocellular carcinoma, based on molecular features. Gastroenterology 2017; 153: 812-26. ) [31] => SimpleXMLElement Object ( [Citation] => Knuever J, Weiss J, Persa OD, Kreuzer K, Mauch C, Hallek M et al. The use of circulating cell-free tumor DNA in routine diagnostics of metastatic melanoma patients. Sci Rep 2020; 10: 4940. ) [32] => SimpleXMLElement Object ( [Citation] => Jefferies M, Rauff B, Rashid H, Lam T, Rafiq S. Update on global epidemiology of viral hepatitis and preventive strategies. World J Clin Cases 2018; 6: 589-99. ) [33] => SimpleXMLElement Object ( [Citation] => Colombo M, Raoul JL, Lencioni R, Galle PR, Zucman-Rossi J, Bañares R et al. Multidisciplinary strategies to improve treatment outcomes in hepatocellular carcinoma: a European perspective. Eur J Gastroenterol Hepatol 2013; 25: 639-51. ) [34] => SimpleXMLElement Object ( [Citation] => Chang TT, Sawhney R, Monto A, Davoren JB, Kirkland JG, Stewart L et al. Implementation of a multidisciplinary treatment team for hepatocellular cancer at a veterans affairs medical center improves survival. HPB (Oxford) 2008; 10: 405-11. ) [35] => SimpleXMLElement Object ( [Citation] => Gish RG, Lencioni R, di Bisceglie AM, Raoul JL, Mazzaferro V. Role of the multidisciplinary team in the diagnosis and treatment of hepatocellular carcinoma. Expert Rev Gastroenterol Hepatol 2012; 6: 173-85. ) [36] => SimpleXMLElement Object ( [Citation] => Serper M, Taddei TH, Mehta R, D'Addeo K, Dai F, Aytaman A et al. Association of provider specialty and multidisciplinary care with hepatocellular carcinoma treatment and mortality. Gastroenterology 2017; 152: 1954-64. ) [37] => SimpleXMLElement Object ( [Citation] => Yopp AC, Mansour JC, Beg MS, Arenas J, Trimmer C, Reddick M et al. Establishment of a multidisciplinary hepatocellular carcinoma clinic is associated with improved clinical outcome. Ann Surg Oncol 2014; 21: 1287-95. ) [38] => SimpleXMLElement Object ( [Citation] => Naugler WE, Alsina AE, Frenette CT, Rossaro L, Sellers MT. Building the multidisciplinary team for management of patients with hepatocellular carcinoma. Clin Gastroenterol Hepatol 2015; 13: 827-35. ) [39] => SimpleXMLElement Object ( [Citation] => Mazzaferro V, Majno P. Principles for the best multidisciplinary meetings. Lancet Oncol 2011; 12: 323-5. ) [40] => SimpleXMLElement Object ( [Citation] => Llovet JM, Ricci S, Mazzaferro V, Hilgard P, Gane E, Blanc JF et al. Sorafenib in advanced hepatocellular carcinoma. N Engl J Med 2008; 359: 378-90. ) [41] => SimpleXMLElement Object ( [Citation] => Kudo M, Finn RS, Qin S, Han KH, Ikeda K, Piscaglia F et al. Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: a randomised phase 3 non-inferiority trial. Lancet 2018; 391: 1163-73. ) [42] => SimpleXMLElement Object ( [Citation] => Finn RS, Qin S, Ikeda M, Galle PR, Ducreux M, Kim TY et al. Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma. N Engl J Med 2020; 382: 1894-905. ) [43] => SimpleXMLElement Object ( [Citation] => Finn RS, Ryoo B-Y, Merle P, Kudo M, Bouattour M, Lim HY et al. Pembrolizumab as second-line therapy in patients with advanced hepatocellular carcinoma in KEYNOTE-240: a randomized, double-blind, phase III trial. J Clin Oncol 2020; 38: 193-202. ) [44] => SimpleXMLElement Object ( [Citation] => Yau T, Zagonel V, Santoro A, Acosta-Rivera M, Choo SP, Matilla A et al. Nivolumab (NIVO) + ipilimumab (IPI) + cabozantinib (CABO) combination therapy in patients (pts) with advanced hepatocellular carcinoma (aHCC): results from CheckMate 040. J Clin Oncol 2020; 38: 478. ) ) ) ) ) [1] => SimpleXMLElement Object ( [MedlineCitation] => SimpleXMLElement Object ( [@attributes] => Array ( [Status] => Publisher [Owner] => NLM ) [PMID] => 33631698 [DateRevised] => SimpleXMLElement Object ( [Year] => 2021 [Month] => 02 [Day] => 25 ) [Article] => SimpleXMLElement Object ( [@attributes] => Array ( [PubModel] => Print-Electronic ) [Journal] => SimpleXMLElement Object ( [ISSN] => 1879-2448 [JournalIssue] => SimpleXMLElement Object ( [@attributes] => Array ( [CitedMedium] => Internet ) [Volume] => 194 [PubDate] => SimpleXMLElement Object ( [Year] => 2021 [Month] => Feb [Day] => 11 ) ) [Title] => Water research [ISOAbbreviation] => Water Res ) [ArticleTitle] => Multibiomarker-based assessment of toxicity of central European strains of filamentous cyanobacteria Aphanizomenon gracile and Raphidiopsis raciborskii to zebrafish Danio rerio. [Pagination] => SimpleXMLElement Object ( [MedlinePgn] => 116923 ) [ELocationID] => Array ( [0] => S0043-1354(21)00121-4 [1] => 10.1016/j.watres.2021.116923 ) [Abstract] => SimpleXMLElement Object ( [AbstractText] => The global increase in cyanobacterial blooms poses environmental and health threats. Selected cyanobacterial strains reveal toxicities despite a lack of synthesis of known toxic metabolites, and the mechanisms of these toxicities are not well understood. Here we investigated the toxicity of non-cylindrospermopsin and non-microcystin producing Aphanizomenon gracile and Raphidiopsis raciborskii of Central European origin to zebrafish exposed for 14 days to their extracts. Toxicological screening revealed the presence of anabaenopeptins and a lack of anatoxin-a, ß-methylamino-L-alanine or saxitoxins in examined extracts. The responses were compared to 20 μg L of common cyanobacterial toxins cylindrospermopsin (CYN) and microcystin-LR (MC-LR). The expression of the marker genes involved in apoptosis (caspase 3a and 3b, Bcl-2, BAX, p53, MAPK, Nrf2), DNA damage detection and repair (GADD45, RAD51, JUN, XPC), detoxification (CYP1A, CYP26, EPHX1), lipid metabolism (PPARa, FABP1, PLA2), phosphorylation/dephosphorylation (PPP6C, PPM1) and cytoskeleton (actin, tubulin) were examined using targeted transcriptomics. Cellular stress and toxicity biomarkers (oxidative injury, antioxidant enzymes, thiol pool status, and lactate dehydrogenase activity) were measured in the liver, and acetylcholinesterase activity was determined as an index of neurotoxicity in the brain. The extracts of three cyanobacterial strains that produce no known cyanotoxins caused marked toxicity in D. rerio, and the biomarker profiles indicate different toxic mechanisms between the bioactive compounds extracted from these strains and the purified cyanotoxins. All studied cyanobacterial extracts and purified cyanotoxins induced oxidative stress and neurotoxicity, downregulated Nrf2 and CYP26B1, disrupted phosphorylation/dephosphorylation processes and actin/tubulin cytoskeleton and upregulated apoptotic activity in the liver. The tested strains and purified toxins displayed distinctively different effects on lipid metabolism. Unlike CYN and MC-LR, the Central European strain of A. gracile and R. raciborskii did not reveal a genotoxic potential. These findings help to further understand the ecotoxicological consequences of toxic cyanobacterial blooms in freshwater ecosystems. [CopyrightInformation] => Copyright © 2021 Elsevier Ltd. All rights reserved. ) [AuthorList] => SimpleXMLElement Object ( [@attributes] => Array ( [CompleteYN] => Y ) [Author] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Falfushynska [ForeName] => Halina [Initials] => H [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Orthopedagogy and Physical Therapy, Ternopil V. Hnatiuk National Pedagogical University, Ternopil, Ukraine; Department of Marine Biology, Institute for Biological Sciences, University of Rostock, Rostock, Germany. ) ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Horyn [ForeName] => Oksana [Initials] => O [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Orthopedagogy and Physical Therapy, Ternopil V. Hnatiuk National Pedagogical University, Ternopil, Ukraine. ) ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Osypenko [ForeName] => Inna [Initials] => I [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Orthopedagogy and Physical Therapy, Ternopil V. Hnatiuk National Pedagogical University, Ternopil, Ukraine. ) ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Rzymski [ForeName] => Piotr [Initials] => P [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Environmental Medicine, Poznan University of Medical Sciences, Poznan, Poland; Integrated Science Association (ISA), Universal Scientific Education and Research Network (USERN), Poznań, Poland. ) ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Wejnerowski [ForeName] => Łukasz [Initials] => Ł [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Hydrobiology, Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614 Poznań, Poland. ) ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Dziuba [ForeName] => Marcin K [Initials] => MK [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Hydrobiology, Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614 Poznań, Poland. ) ) [6] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Sokolova [ForeName] => Inna M [Initials] => IM [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Marine Biology, Institute for Biological Sciences, University of Rostock, Rostock, Germany; Department of Maritime Systems, Interdisciplinary Faculty, University of Rostock, Rostock, Germany. Electronic address: inna.sokolova@uni-rostock.de. ) ) ) ) [Language] => eng [PublicationTypeList] => SimpleXMLElement Object ( [PublicationType] => Journal Article ) [ArticleDate] => SimpleXMLElement Object ( [@attributes] => Array ( [DateType] => Electronic ) [Year] => 2021 [Month] => 02 [Day] => 11 ) ) [MedlineJournalInfo] => SimpleXMLElement Object ( [Country] => England [MedlineTA] => Water Res [NlmUniqueID] => 0105072 [ISSNLinking] => 0043-1354 ) [CitationSubset] => IM [KeywordList] => SimpleXMLElement Object ( [@attributes] => Array ( [Owner] => NOTNLM ) [Keyword] => Array ( [0] => Apoptosis [1] => Cell signaling [2] => Cyanotoxin [3] => Genotoxicity [4] => Oxidative stress [5] => Protein phosphatase ) ) [CoiStatement] => Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ) [PubmedData] => SimpleXMLElement Object ( [History] => SimpleXMLElement Object ( [PubMedPubDate] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => received ) [Year] => 2020 [Month] => 09 [Day] => 10 ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => revised ) [Year] => 2021 [Month] => 02 [Day] => 05 ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => accepted ) [Year] => 2021 [Month] => 02 [Day] => 09 ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => entrez ) [Year] => 2021 [Month] => 2 [Day] => 25 [Hour] => 20 [Minute] => 18 ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => pubmed ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => medline ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) ) ) [PublicationStatus] => aheadofprint [ArticleIdList] => SimpleXMLElement Object ( [ArticleId] => Array ( [0] => 33631698 [1] => S0043-1354(21)00121-4 [2] => 10.1016/j.watres.2021.116923 ) ) ) ) [2] => SimpleXMLElement Object ( [MedlineCitation] => SimpleXMLElement Object ( [@attributes] => Array ( [Status] => Publisher [Owner] => NLM ) [PMID] => 33631695 [DateRevised] => SimpleXMLElement Object ( [Year] => 2021 [Month] => 02 [Day] => 25 ) [Article] => SimpleXMLElement Object ( [@attributes] => Array ( [PubModel] => Print-Electronic ) [Journal] => SimpleXMLElement Object ( [ISSN] => 1879-3363 [JournalIssue] => SimpleXMLElement Object ( [@attributes] => Array ( [CitedMedium] => Internet ) [Volume] => 166 [PubDate] => SimpleXMLElement Object ( [Year] => 2021 [Month] => Feb [Day] => 22 ) ) [Title] => Marine pollution bulletin [ISOAbbreviation] => Mar Pollut Bull ) [ArticleTitle] => Distribution of mercury species in different tissues and trophic levels of commonly consumed fish species from the south Bay of Biscay (France). [Pagination] => SimpleXMLElement Object ( [MedlinePgn] => 112172 ) [ELocationID] => Array ( [0] => S0025-326X(21)00206-X [1] => 10.1016/j.marpolbul.2021.112172 ) [Abstract] => SimpleXMLElement Object ( [AbstractText] => Mercury (Hg) is a contaminant of global concern in marine ecosystems, notably due to its ability to accumulate and concentrate in food webs. Concentrations of total mercury (THg), methylmercury (MeHg) and inorganic mercury (IHg) were assessed and compared in different tissues (liver, muscle, and gonads) of three common fish species (hake Merluccius merluccius, red mullet Mullus surmuletus, and sole Solea solea) from the continental shelf from the southern part of the Bay of Biscay. Several studies investigated Hg concentration in fish muscle, but few assessed concentrations in other organs, despite the importance of such data to understand contaminant organotropism and metabolization. Results showed that trophic position and feeding habitat are required to understand the variability of Hg concentration in muscle between fish species. In addition, high MeHg/THg ratio in muscle could be explained by the predatory behavior of the studied fish species and the biomagnification of this Hg species within the food web, MeHg. Despite differences between species, Hg concentration was always higher in muscle (from 118 ± 64 to 338 ± 101 ng g w.w.) and liver (from 122 ± 108 to 271 ± 95 ng g w.w.). These results can be related to physiological processes especially the MeHg detoxification strategies. [CopyrightInformation] => Copyright © 2021. Published by Elsevier Ltd. ) [AuthorList] => SimpleXMLElement Object ( [@attributes] => Array ( [CompleteYN] => Y ) [Author] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Mille [ForeName] => Tiphaine [Initials] => T [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Université de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM-MIRA, UMR 5254, 64600 Anglet, France. ) ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Bisch [ForeName] => Amaëlle [Initials] => A [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Université de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM-MIRA, UMR 5254, 64600 Anglet, France. ) ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Caill-Milly [ForeName] => Nathalie [Initials] => N [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Ifremer, LITTORAL, Laboratoire Environnement Ressources d'Arcachon, 64600 Anglet, France. ) ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Cresson [ForeName] => Pierre [Initials] => P [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Ifremer, Centre Manche Mer du Nord, Laboratoire Ressources Halieutiques Manche Mer du Nord, 150 quai Gambetta, 62200 Boulogne sur Mer, France. ) ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Deborde [ForeName] => Jonathan [Initials] => J [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Ifremer, LITTORAL, Laboratoire Environnement et Ressources des Pertuis Charentais (LER/PC), BP133, 17390 La Tremblade, France. ) ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Gueux [ForeName] => Aurore [Initials] => A [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Ifremer, LITTORAL, Laboratoire Environnement et Ressources des Pertuis Charentais (LER/PC), BP133, 17390 La Tremblade, France. ) ) [6] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Morandeau [ForeName] => Gilles [Initials] => G [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Ifremer, LITTORAL, Laboratoire Environnement Ressources d'Arcachon, 64600 Anglet, France. ) ) [7] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Monperrus [ForeName] => Mathilde [Initials] => M [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Université de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM-MIRA, UMR 5254, 64600 Anglet, France. Electronic address: mathilde.monperrus@univ-pau.fr. ) ) ) ) [Language] => eng [PublicationTypeList] => SimpleXMLElement Object ( [PublicationType] => Journal Article ) [ArticleDate] => SimpleXMLElement Object ( [@attributes] => Array ( [DateType] => Electronic ) [Year] => 2021 [Month] => 02 [Day] => 22 ) ) [MedlineJournalInfo] => SimpleXMLElement Object ( [Country] => England [MedlineTA] => Mar Pollut Bull [NlmUniqueID] => 0260231 [ISSNLinking] => 0025-326X ) [CitationSubset] => IM [KeywordList] => SimpleXMLElement Object ( [@attributes] => Array ( [Owner] => NOTNLM ) [Keyword] => Array ( [0] => Bioaccumulation [1] => Contamination [2] => Methylmercury [3] => Organotropism [4] => Teleostei ) ) ) [PubmedData] => SimpleXMLElement Object ( [History] => SimpleXMLElement Object ( [PubMedPubDate] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => received ) [Year] => 2020 [Month] => 04 [Day] => 27 ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => revised ) [Year] => 2021 [Month] => 02 [Day] => 09 ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => accepted ) [Year] => 2021 [Month] => 02 [Day] => 10 ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => entrez ) [Year] => 2021 [Month] => 2 [Day] => 25 [Hour] => 20 [Minute] => 17 ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => pubmed ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => medline ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) ) ) [PublicationStatus] => aheadofprint [ArticleIdList] => SimpleXMLElement Object ( [ArticleId] => Array ( [0] => 33631695 [1] => S0025-326X(21)00206-X [2] => 10.1016/j.marpolbul.2021.112172 ) ) ) ) [3] => SimpleXMLElement Object ( [MedlineCitation] => SimpleXMLElement Object ( [@attributes] => Array ( [Status] => Publisher [Owner] => NLM ) [PMID] => 33631572 [DateRevised] => SimpleXMLElement Object ( [Year] => 2021 [Month] => 02 [Day] => 25 ) [Article] => SimpleXMLElement Object ( [@attributes] => Array ( [PubModel] => Print-Electronic ) [Journal] => SimpleXMLElement Object ( [ISSN] => 1879-1026 [JournalIssue] => SimpleXMLElement Object ( [@attributes] => Array ( [CitedMedium] => Internet ) [Volume] => 775 [PubDate] => SimpleXMLElement Object ( [Year] => 2021 [Month] => Feb [Day] => 04 ) ) [Title] => The Science of the total environment [ISOAbbreviation] => Sci Total Environ ) [ArticleTitle] => Regional variations and relationships among cytokine profiles, white blood cell counts, and blood mercury concentrations in Steller sea lion (Eumetopias jubatus) pups. [Pagination] => SimpleXMLElement Object ( [MedlinePgn] => 144894 ) [ELocationID] => Array ( [0] => S0048-9697(20)38427-8 [1] => 10.1016/j.scitotenv.2020.144894 ) [Abstract] => SimpleXMLElement Object ( [AbstractText] => The Steller sea lion (SSL) population west of 144°W longitude experienced a significant population decline. While there appears to be a stable or increasing population trend in rookeries in the Gulf of Alaska (GOA) and Southeast Alaska (SEA), some rookeries within the Aleutian Islands (AI) have failed to recover. Previous studies found regional differences in whole blood total mercury concentrations ([THg]) showing more than 20% of AI pups had [THg] above critical thresholds for increased risk of immunological effects and other adverse outcomes. Measurements of immune cell-signaling proteins can be used to evaluate the immune status of marine mammals in relation to [THg]. We compared serum cytokine and chemokine concentrations in pups among regions (AI, eastern GOA, SEA), and examined associations among cytokines, chemokines, white blood cell (WBC) counts, and [THg]. Considering liver is an important target organ for mercury and immune protein synthesis we additionally examined the relationship of [THg] with liver-related enzymes serum aspartate (AST) and alanine aminotransferase (ALT). We observed regional differences in cytokine and chemokine measurements and immune protein associations. There was a positive association between total WBC counts and [THg] in AI pups, whereas a negative association between lymphocytes and [THg] in SEA pups. These findings may indicate regional variation in proliferation and differentiation of hematopoietic cells, differences in immune system development, and/or a difference in antigenic stimuli. No associations between [THg] and cytokines, chemokines, AST or ALT were found. Observed regional differences in cytokine and chemokine milieu during gestational and early development in SSL pups could lead to an imbalance in cell differentiation that could impact immunological resiliency in juvenile and adult life stages. We report concentration ranges of a suite of cytokines and chemokines which may prove to be a useful metric for ecotoxicology and risk assessment studies in SSLs and other wildlife. [CopyrightInformation] => Copyright © 2021 Elsevier B.V. All rights reserved. ) [AuthorList] => SimpleXMLElement Object ( [@attributes] => Array ( [CompleteYN] => Y ) [Author] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Kennedy [ForeName] => Stephanie N [Initials] => SN [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Chemistry and Biochemistry, University of Alaska Fairbanks, Fairbanks, AK, USA; Harvard Medical School and Division of Gastroenterology, Boston Children's Hospital, Boston, MA, USA. Electronic address: Stephanie.Kennedy@childrens.harvard.edu. ) ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Keogh [ForeName] => Mandy [Initials] => M [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Alaska Department of Fish and Game, Division of Wildlife Conservation, Juneau, AK, USA. Electronic address: mandyjkeogh@gmail.com. ) ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Levin [ForeName] => Milton [Initials] => M [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Veterinary Medicine, University of Connecticut, Storrs, CT, USA. Electronic address: milton.levin@uconn.edu. ) ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Castellini [ForeName] => J Margaret [Initials] => JM [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Veterinary Medicine, University of Alaska Fairbanks, Fairbanks, AK, USA. Electronic address: jcastellini@alaska.edu. ) ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Lian [ForeName] => Marianne [Initials] => M [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Chemistry and Biochemistry, University of Alaska Fairbanks, Fairbanks, AK, USA; Department of Veterinary Medicine, University of Alaska Fairbanks, Fairbanks, AK, USA. Electronic address: mlian@alaska.edu. ) ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Fadely [ForeName] => Brian S [Initials] => BS [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Marine Mammal Laboratory, Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, WA, USA. Electronic address: brian.fadely@noaa.gov. ) ) [6] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Rea [ForeName] => Lorrie D [Initials] => LD [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, USA. Electronic address: LDREA@alaska.edu. ) ) [7] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => O'Hara [ForeName] => Todd M [Initials] => TM [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => Department of Veterinary Medicine, University of Alaska Fairbanks, Fairbanks, AK, USA; Veterinary Integrative Biosciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, USA. Electronic address: tmohara@tamu.edu. ) ) ) ) [Language] => eng [PublicationTypeList] => SimpleXMLElement Object ( [PublicationType] => Journal Article ) [ArticleDate] => SimpleXMLElement Object ( [@attributes] => Array ( [DateType] => Electronic ) [Year] => 2021 [Month] => 02 [Day] => 04 ) ) [MedlineJournalInfo] => SimpleXMLElement Object ( [Country] => Netherlands [MedlineTA] => Sci Total Environ [NlmUniqueID] => 0330500 [ISSNLinking] => 0048-9697 ) [CitationSubset] => IM [KeywordList] => SimpleXMLElement Object ( [@attributes] => Array ( [Owner] => NOTNLM ) [Keyword] => Array ( [0] => Alaska [1] => Cytokines [2] => Hematology [3] => Mercury [4] => Risk assessment [5] => Steller sea lions ) ) [CoiStatement] => Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ) [PubmedData] => SimpleXMLElement Object ( [History] => SimpleXMLElement Object ( [PubMedPubDate] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => received ) [Year] => 2020 [Month] => 11 [Day] => 16 ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => revised ) [Year] => 2020 [Month] => 12 [Day] => 23 ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => accepted ) [Year] => 2020 [Month] => 12 [Day] => 27 ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => entrez ) [Year] => 2021 [Month] => 2 [Day] => 25 [Hour] => 20 [Minute] => 15 ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => pubmed ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => medline ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) ) ) [PublicationStatus] => aheadofprint [ArticleIdList] => SimpleXMLElement Object ( [ArticleId] => Array ( [0] => 33631572 [1] => S0048-9697(20)38427-8 [2] => 10.1016/j.scitotenv.2020.144894 ) ) ) ) [4] => SimpleXMLElement Object ( [MedlineCitation] => SimpleXMLElement Object ( [@attributes] => Array ( [Status] => Publisher [Owner] => NLM ) [PMID] => 33631495 [DateRevised] => SimpleXMLElement Object ( [Year] => 2021 [Month] => 02 [Day] => 25 ) [Article] => SimpleXMLElement Object ( [@attributes] => Array ( [PubModel] => Print-Electronic ) [Journal] => SimpleXMLElement Object ( [ISSN] => 1879-0534 [JournalIssue] => SimpleXMLElement Object ( [@attributes] => Array ( [CitedMedium] => Internet ) [Volume] => 131 [PubDate] => SimpleXMLElement Object ( [Year] => 2021 [Month] => Feb [Day] => 16 ) ) [Title] => Computers in biology and medicine [ISOAbbreviation] => Comput Biol Med ) [ArticleTitle] => Bipolar radiofrequency ablation treatment of liver cancer employing monopolar needles: A comprehensive investigation on the efficacy of time-based switching. [Pagination] => SimpleXMLElement Object ( [MedlinePgn] => 104273 ) [ELocationID] => Array ( [0] => S0010-4825(21)00067-6 [1] => 10.1016/j.compbiomed.2021.104273 ) [Abstract] => SimpleXMLElement Object ( [AbstractText] => Radiofrequency ablation (RFA) is a thermal ablative treatment method that is commonly used to treat liver cancer. However, the thermal coagulation zone generated using the conventional RFA system can only successfully treat tumours up to 3 cm in diameter. Switching bipolar RFA has been proposed as a way to increase the thermal coagulation zone. Presently, the understanding of the underlying thermal processes that takes place during switching bipolar RFA remains limited. Hence, the objective of this study is to provide a comprehensive understanding on the thermal ablative effects of time-based switching bipolar RFA on liver tissue. Five switch intervals, namely 50, 100, 150, 200 and 300 s were investigated using a two-compartment 3D finite element model. The study was performed using two pairs of RF electrodes in a four-probe configuration, where the electrodes were alternated based on their respective switch interval. The physics employed in the present study were verified against experimental data from the literature. Results obtained show that using a shorter switch interval can improve the homogeneity of temperature distribution within the tissue and increase the rate of temperature rise by delaying the occurrence of roll-off. The coagulation volume obtained was the largest using switch interval of 50 s, followed by 100, 150, 200 and 300 s. The present study demonstrated that the transient thermal response of switching bipolar RFA can be improved by using shorter switch intervals. [CopyrightInformation] => Copyright © 2021 Elsevier Ltd. All rights reserved. ) [AuthorList] => SimpleXMLElement Object ( [@attributes] => Array ( [CompleteYN] => Y ) [Author] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Yap [ForeName] => Shelley [Initials] => S [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia. ) ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Ooi [ForeName] => Ean H [Initials] => EH [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia; Advanced Engineering Platform, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia. Electronic address: ooi.ean.hin@monash.edu. ) ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Foo [ForeName] => Ji J [Initials] => JJ [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia. ) ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Ooi [ForeName] => Ean T [Initials] => ET [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => School of Engineering and Information Technology, Faculty of Science and Technology, Federation University, VIC, 3350, Australia. ) ) ) ) [Language] => eng [PublicationTypeList] => SimpleXMLElement Object ( [PublicationType] => Journal Article ) [ArticleDate] => SimpleXMLElement Object ( [@attributes] => Array ( [DateType] => Electronic ) [Year] => 2021 [Month] => 02 [Day] => 16 ) ) [MedlineJournalInfo] => SimpleXMLElement Object ( [Country] => United States [MedlineTA] => Comput Biol Med [NlmUniqueID] => 1250250 [ISSNLinking] => 0010-4825 ) [CitationSubset] => IM [KeywordList] => SimpleXMLElement Object ( [@attributes] => Array ( [Owner] => NOTNLM ) [Keyword] => Array ( [0] => Ablation efficacy [1] => Cancer treatment [2] => Multipolar [3] => RFA [4] => Thermal ablation ) ) ) [PubmedData] => SimpleXMLElement Object ( [History] => SimpleXMLElement Object ( [PubMedPubDate] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => received ) [Year] => 2020 [Month] => 11 [Day] => 11 ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => revised ) [Year] => 2021 [Month] => 02 [Day] => 09 ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => accepted ) [Year] => 2021 [Month] => 02 [Day] => 10 ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => entrez ) [Year] => 2021 [Month] => 2 [Day] => 25 [Hour] => 20 [Minute] => 14 ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => pubmed ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => medline ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) ) ) [PublicationStatus] => aheadofprint [ArticleIdList] => SimpleXMLElement Object ( [ArticleId] => Array ( [0] => 33631495 [1] => S0010-4825(21)00067-6 [2] => 10.1016/j.compbiomed.2021.104273 ) ) ) ) [5] => SimpleXMLElement Object ( [MedlineCitation] => SimpleXMLElement Object ( [@attributes] => Array ( [Status] => Publisher [Owner] => NLM ) [PMID] => 33631343 [DateRevised] => SimpleXMLElement Object ( [Year] => 2021 [Month] => 02 [Day] => 25 ) [Article] => SimpleXMLElement Object ( [@attributes] => Array ( [PubModel] => Print-Electronic ) [Journal] => SimpleXMLElement Object ( [ISSN] => 1532-0456 [JournalIssue] => SimpleXMLElement Object ( [@attributes] => Array ( [CitedMedium] => Internet ) [PubDate] => SimpleXMLElement Object ( [Year] => 2021 [Month] => Feb [Day] => 22 ) ) [Title] => Comparative biochemistry and physiology. Toxicology & pharmacology : CBP [ISOAbbreviation] => Comp Biochem Physiol C Toxicol Pharmacol ) [ArticleTitle] => Transcriptomic analysis of lead-induced hepatoxicology in female Japanese quails (Coturnix japonica): Implications of triglyceride synthesis, degradation and transport disruption. [Pagination] => SimpleXMLElement Object ( [MedlinePgn] => 109024 ) [ELocationID] => Array ( [0] => S1532-0456(21)00051-X [1] => 10.1016/j.cbpc.2021.109024 ) [Abstract] => SimpleXMLElement Object ( [AbstractText] => Lead (Pb) pollution poses great threats to mammals including human and it is also hazardous to bird life. In this study, RNA sequencing analysis was employed to examine the molecular responses to lead exposure in the liver of a toxicological model species Japanese quails. Female birds were exposed to 0, 50, 500 and 1000 ppm waterborne Pb for 49 days. The results showed that hepatic microstructure was damaged under lead exposure featured by sinusoids dilation and irregularity as well as cell necrosis. Moreover, ultrastructural injury in the liver including mitochondrial swelling and vacuolization as well as nuclear deformation was induced by lead exposure. Lead exposure also caused the decrease of lipid droplets in the liver by oil red O staining. In addition, liver transcriptomic analysis revealed that molecular signaling and functional pathways were disrupted by lead exposure. Meanwhile, the expression of genes involved with hepatic glycerophospholipids metabolism of triglyceride synthesis and lipid transport of triglyceride transfer was significantly down-regulated by lead exposure. Moreover, the up-regulation of genes associated with fatty acid oxidation and the down-regulation of genes related with fatty acid synthesis were caused by lead exposure. The present study implied that lead induced liver malfunction and bird health risks through histopathological damages, molecular signaling disruption, genetic expression alteration and triglyceride metabolism disturbance. [CopyrightInformation] => Copyright © 2018. Published by Elsevier Inc. ) [AuthorList] => SimpleXMLElement Object ( [@attributes] => Array ( [CompleteYN] => Y ) [Author] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Wang [ForeName] => Ling [Initials] => L [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => College of Life Sciences, Shaanxi Normal University, Xi'an 710119 No. 620, West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi 710119, China. ) ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Li [ForeName] => Xuan [Initials] => X [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => College of Life Sciences, Shaanxi Normal University, Xi'an 710119 No. 620, West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi 710119, China. ) ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Zhang [ForeName] => Gaixia [Initials] => G [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => College of Life Sciences, Shaanxi Normal University, Xi'an 710119 No. 620, West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi 710119, China. ) ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [ValidYN] => Y ) [LastName] => Zhao [ForeName] => Hongfeng [Initials] => H [AffiliationInfo] => SimpleXMLElement Object ( [Affiliation] => College of Life Sciences, Shaanxi Normal University, Xi'an 710119 No. 620, West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi 710119, China. Electronic address: zhaohf@snnu.edu.cn. ) ) ) ) [Language] => eng [PublicationTypeList] => SimpleXMLElement Object ( [PublicationType] => Journal Article ) [ArticleDate] => SimpleXMLElement Object ( [@attributes] => Array ( [DateType] => Electronic ) [Year] => 2021 [Month] => 02 [Day] => 22 ) ) [MedlineJournalInfo] => SimpleXMLElement Object ( [Country] => United States [MedlineTA] => Comp Biochem Physiol C Toxicol Pharmacol [NlmUniqueID] => 100959500 [ISSNLinking] => 1532-0456 ) [CitationSubset] => IM [KeywordList] => SimpleXMLElement Object ( [@attributes] => Array ( [Owner] => NOTNLM ) [Keyword] => Array ( [0] => Histopathology [1] => Japanese quail [2] => Lead [3] => Liver [4] => Transcriptome [5] => Triglyceride ) ) ) [PubmedData] => SimpleXMLElement Object ( [History] => SimpleXMLElement Object ( [PubMedPubDate] => Array ( [0] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => received ) [Year] => 2020 [Month] => 11 [Day] => 11 ) [1] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => revised ) [Year] => 2021 [Month] => 02 [Day] => 13 ) [2] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => accepted ) [Year] => 2021 [Month] => 02 [Day] => 16 ) [3] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => entrez ) [Year] => 2021 [Month] => 2 [Day] => 25 [Hour] => 20 [Minute] => 11 ) [4] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => pubmed ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) [5] => SimpleXMLElement Object ( [@attributes] => Array ( [PubStatus] => medline ) [Year] => 2021 [Month] => 2 [Day] => 26 [Hour] => 6 [Minute] => 0 ) ) ) [PublicationStatus] => aheadofprint [ArticleIdList] => SimpleXMLElement Object ( [ArticleId] => Array ( [0] => 33631343 [1] => S1532-0456(21)00051-X [2] => 10.1016/j.cbpc.2021.109024 ) ) ) ) ) )