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| 1 | Ticagrelor Effects on Myocardial Infarction and the Impact of Event Adjudication in the Platelet Inhibition and Patient Outcomes (PLATO) Trial显示文摘 | Kenneth W. Mahaffey Claes Held Daniel M. Wojdyla Stefan K. James Hugo A. Katus Steen Husted Philippe Gabriel Steg Christopher P. Cannon Richard C. Becker Robert F. Storey Nardev S. Khurmi José C. Nicolau Cheuk-Man Yu Diego Ardissino Andrzej Budaj Joao Mor | 2014 | Journal of the American College of Cardiology2014，，： | 2 |
| 2 | Drug-induced liver injury and COVID-19:A review for clinical practice显示文摘Coronavirus disease 2019(COVID-19)consists of a systemic disease that can present many complications.The infection presents broad clinical symptoms and a high rate of transmissibility.In addition to severe acute respiratory syndrome,the patients manifest complications beyond the respiratory system.The frequency of liver damage in COVID-19 patients ranges from 14.8% to 53% of patients.One should pay attention to drug-induced liver injury(DILI)in patients with COVID-19,especially considering the off-label use of drugs in prophylactic and therapeutic regimens applied on large scales.This review aims to present relevant information on the medication used so far in COVID-19 patients and its possible hepatotoxicity.We reviewed liver damage in patients with COVID-19 on PubMed and Virtual Health Library to investigate DILI cases.Four studies were selected,involving the medicines remdesivir,tocilizumab and a pharmacovigilance analysis study.The hepatotoxicity profile of drugs presented in the literature considers use in accordance to usual posology standards for treatment.However,drugs currently used in the management of COVID-19 follow different dosages and posology than those tested by the pharmaceutical industry.The deficiency of uniformity and standardization in the assessment of hepatotoxicity cases hinders the publication of information and the possibility of comparing information among healthcare professionals.It is suggested that severe liver injury in COVID-19 patients should be reported in pharmacovigilance institutions,and physicians should pay attention to any considerable abnormal liver test elevation as it can demonstrate unknown drug hepatotoxicity.Liver disorders in COVID-19 patients and the use of several concomitant off-label medications—with a potential risk of further damaging the liver-should at least be a warning sign for rapid identification and early intervention,thus preventing liver damage from contributing to severe impairment in patients. | Gabriela Xavier Ortiz Gabriele Lenhart Matheus William Becker Karin Hepp Schwambach Cristiane Valle Tovo Carine Raquel Blatt | 2021 | World Journal of Hepatology2021，13，9： | 2 |
| 3 | Bacterial diversity of soils assessed by DGGE, T-RFLP and SSCP fingerprints of PCR-amplified 16S rRNA gene fragments: Do the different methods provide similar results?显示文摘 | Kornelia Smalla Miruna Oros-Sichler Annett Milling Holger Heuer Susanne Baumgarte Regina Becker Gabriele Neuber Siegfried Kropf Andreas Ulrich Christoph C. Tebbe | 2007 | Journal of Microbiological Methods2007，，3： | 1 |
| 4 | Outcome and quality of life in patients with polycystic liver disease after liver or combined liver‐kidney transplantation显示文摘 | Gabriele I. Kirchner Kinan Rifai Tobias Cantz Bjoern Nashan Christoph Terkamp Thomas Becker Christian Strassburg Hannelore Barg‐Hock Siegfried Wagner Rainer Lück Juergen Klempnauer Michael P. Manns | 2006 | Liver Transpl2006，，8： | 1 |
| 5 | pl6/MTS1 inactivation in ovarian carcinomas: High frequency of reduced protein expression associated with hyper-methylation or mutation in endometrioid and mucinous tumors显示文摘 | Karinmilde-langosoh Erika Ocon Gabriele Becker | 1998 | Iht cancer1998，79，： | 1 |
| 6 | Evaluation of cy- totoxie effects induced by bcl-2 and Bcl-xL antisense- oligodeoxynucleotides in normal urothelium and transi- tional cell carcinoma显示文摘 | Gabriel U Bolenz C Becker A | 2008 | Oncol Rep2008，20，6： | 1 |
| 7 | Comparison of ticagrelor, the first reversible oral P2Y 12 receptor antagonist, with clopidogrel in patients with acute coronary syndromes: Rationale, design, and baseline characteristics of the PLATelet inhibition and patient Outcomes (PLATO) trial显示文摘 | Stefan James Axel ?kerblom Christopher P. Cannon H?kan Emanuelsson Steen Husted Hugo Katus Allan Skene Philippe Gabriel Steg Robert F. Storey Robert Harrington Richard Becker Lars Wallentin | 2009 | American Heart Journal2009，，4： | 1 |
| 8 | Low hemoglobin is associated with increased serum levels of vascular endothelial growth factor (VEGF) in cancer patients显示文摘 | Jürgen Dunst Steffi Pigorsch Gabriele H?nsgen Ingrid Hintner Christine Lautenschl?ger Axel Becker | 1999 | Strahlentherapie und Onkologie1999，，3： | 1 |
| 9 | Ticagrelor Effects on Myocardial Infarction and the Impact of Event Adjudication in the Platelet Inhibition and Patient Outcomes (PLATO) Trial显示文摘 | Kenneth W. Mahaffey Claes Held Daniel M. Wojdyla Stefan K. James Hugo A. Katus Steen Husted Philippe Gabriel Steg Christopher P. Cannon Richard C. Becker Robert F. Storey Nardev S. Khurmi José C. Nicolau Cheuk-Man Yu Diego Ardissino Andrzej Budaj Joao Mor | 2014 | Journal of the American College of Cardiology2014，，： | 1 |
| 10 | A computational framework for improving genetic variants identification from 5,061 sheep sequencing data显示文摘Background Pan-genomics is a recently emerging strategy that can be utilized to provide a more comprehensive characterization of genetic variation.Joint calling is routinely used to combine identified variants across multiple related samples.However,the improvement of variants identification using the mutual support information from mul-tiple samples remains quite limited for population-scale genotyping.Results In this study,we developed a computational framework for joint calling genetic variants from 5,061 sheep by incorporating the sequencing error and optimizing mutual support information from multiple samples’data.The variants were accurately identified from multiple samples by using four steps:(1)Probabilities of variants from two widely used algorithms,GATK and Freebayes,were calculated by Poisson model incorporating base sequencing error potential;(2)The variants with high mapping quality or consistently identified from at least two samples by GATK and Freebayes were used to construct the raw high-confidence identification(rHID)variants database;(3)The high confidence variants identified in single sample were ordered by probability value and controlled by false discovery rate(FDR)using rHID database;(4)To avoid the elimination of potentially true variants from rHID database,the vari-ants that failed FDR were reexamined to rescued potential true variants and ensured high accurate identification variants.The results indicated that the percent of concordant SNPs and Indels from Freebayes and GATK after our new method were significantly improved 12%-32%compared with raw variants and advantageously found low frequency variants of individual sheep involved several traits including nipples number(GPC5),scrapie pathology(PAPSS2),sea-sonal reproduction and litter size(GRM1),coat color(RAB27A),and lentivirus susceptibility(TMEM154).Conclusion The new method used the computational strategy to reduce the number of false positives,and simulta-neously improve the identification of genetic variants.This strategy did not incur any extra cost by using any addi-tional samples or sequencing data information and advantageously identified rare variants which can be important for practical applications of animal breeding. | Shangqian Xie Karissa Isaacs Gabrielle Becker Brenda M.Murdoch | 2023 | Journal of Animal Science and Biotechnology2023，14，6： | 0 |
| 11 | Drug-induced liver injury and COVID-19:Use of artificial intelligence and the updated Roussel Uclaf Causality Assessment Method in clinical practice显示文摘BACKGROUND Liver injury is a relevant condition in coronavirus disease 2019(COVID-19)inpatients.Pathophysiology varies from direct infection by virus,systemic inflammation or drug-induced adverse reaction(DILI).DILI detection and monitoring is clinically relevant,as it may contribute to poor prognosis,prolonged hospitalization and increase indirect healthcare costs.Artificial Intelligence(AI)applied in data mining of electronic medical records combining abnormal liver tests,keyword searching tools,and risk factors analysis is a relevant opportunity for early DILI detection by automated algorithms.AIM To describe DILI cases in COVID-19 inpatients detected from data mining in electronic medical records(EMR)using AI and the updated Roussel Uclaf Causality Assessment Method(RUCAM).METHODS The study was conducted in March 2021 in a hospital in southern Brazil.The NoHarm©system uses AI to support decision making in clinical pharmacy.Hospital admissions were 100523 during this period,of which 478 met the inclusion criteria.From these,290 inpatients were excluded due to alternative causes of liver injury and/or due to not having COVID-19.We manually reviewed the EMR of 188 patients for DILI investigation.Absence of clinical information excluded most eligible patients.The DILI assessment causality was possible via the updated RUCAM in 17 patients.RESULTS Mean patient age was 53 years(SD±18.37;range 22-83),most were male(70%),and admitted to the non-intensive care unit sector(65%).Liver injury pattern was mainly mixed,mean time to normalization of liver markers was 10 d,and mean length of hospitalization was 20.5 d(SD±16;range 7-70).Almost all patients recovered from DILI and one patient died of multiple organ failure.There were 31 suspected drugs with the following RUCAM score:Possible(n=24),probable(n=5),and unlikely(n=2).DILI agents in our study were ivermectin,bicalutamide,linezolid,azithromycin,ceftriaxone,amoxicillin-clavulanate,tocilizumab,piperacillin-tazobactam,and albendazole.Lack of essential clinical information excluded most patients.Although rare,DILI is a relevant clinical condition in COVID-19 patients and may contribute to poor prognostics.CONCLUSION The incidence of DILI in COVID-19 inpatients is rare and the absence of relevant clinical information on EMR may underestimate DILI rates.Prospects involve creation and validation of alerts for risk factors in all DILI patients based on RUCAM assessment causality,alterations of liver biomarkers and AI and machine learning. | Gabriela Xavier Ortiz Ana Helena Dias Pereira dos Santos Ulbrich Gabriele Lenhart Henrique Dias Pereirados Santos Karin Hepp Schwambach Matheus William Becker Carine Raquel Blatt | 2023 | Artificial Intelligence in Gastroenterology2023，4，2： | 0 |
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