Literature DB >> 27318993

Using Literature-Based Discovery to Explain Adverse Drug Effects.

Dimitar Hristovski1, Andrej Kastrin2, Dejan Dinevski3, Anita Burgun4, Lovro Žiberna5, Thomas C Rindflesch6.   

Abstract

We report on our research in using literature-based discovery (LBD) to provide pharmacological and/or pharmacogenomic explanations for reported adverse drug effects. The goal of LBD is to generate novel and potentially useful hypotheses by analyzing the scientific literature and optionally some additional resources. Our assumption is that drugs have effects on some genes or proteins and that these genes or proteins are associated with the observed adverse effects. Therefore, by using LBD we try to find genes or proteins that link the drugs with the reported adverse effects. These genes or proteins can be used to provide insight into the processes causing the adverse effects. Initial results show that our method has the potential to assist in explaining reported adverse drug effects.

Keywords:  Adverse drug effects; Adverse drug reactions; Literature-based discovery; Pharmacogenomics; Pharmacovigilance; Text mining

Mesh:

Year:  2016        PMID: 27318993     DOI: 10.1007/s10916-016-0544-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  25 in total

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Authors:  Thomas C Rindflesch; Marcelo Fiszman
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2.  Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU-ADR project.

Authors:  Paul Avillach; Jean-Charles Dufour; Gayo Diallo; Francesco Salvo; Michel Joubert; Frantz Thiessard; Fleur Mougin; Gianluca Trifirò; Annie Fourrier-Réglat; Antoine Pariente; Marius Fieschi
Journal:  J Am Med Inform Assoc       Date:  2012-11-29       Impact factor: 4.497

3.  Using literature-based discovery to identify novel therapeutic approaches.

Authors:  Dimitar Hristovski; Thomas Rindflesch; Borut Peterlin
Journal:  Cardiovasc Hematol Agents Med Chem       Date:  2013-03

4.  Identifying potential adverse effects using the web: a new approach to medical hypothesis generation.

Authors:  Adrian Benton; Lyle Ungar; Shawndra Hill; Sean Hennessy; Jun Mao; Annie Chung; Charles E Leonard; John H Holmes
Journal:  J Biomed Inform       Date:  2011-07-26       Impact factor: 6.317

5.  Comparative radiological and morphological study of the human pancreas. IV. Acute necrotizing pancreatitis in man.

Authors:  P Schmitz-Moormann
Journal:  Pathol Res Pract       Date:  1981-05       Impact factor: 3.250

6.  Lipid peroxidation and glutathione metabolism in chronic pancreatitis.

Authors:  M H Schoenberg; M Büchler; C Pietrzyk; W Uhl; D Birk; S Eisele; M Marzinzig; H G Beger
Journal:  Pancreas       Date:  1995-01       Impact factor: 3.327

7.  Severe rhabdomyolysis and acute renal failure secondary to concomitant use of simvastatin with rapamycin plus tacrolimus in liver transplant patient.

Authors:  C Dopazo; I Bilbao; J L Lázaro; G Sapisochin; M Caralt; L Blanco; L Castells; R Charco
Journal:  Transplant Proc       Date:  2009-04       Impact factor: 1.066

8.  The dependence of biliary methylmercury secretion on liver GSH and ligandin.

Authors:  L Magos; M Cikrt; R Snowden
Journal:  Biochem Pharmacol       Date:  1985-02-01       Impact factor: 5.858

Review 9.  Data mining of the public version of the FDA Adverse Event Reporting System.

Authors:  Toshiyuki Sakaeda; Akiko Tamon; Kaori Kadoyama; Yasushi Okuno
Journal:  Int J Med Sci       Date:  2013-04-25       Impact factor: 3.738

10.  Digital drug safety surveillance: monitoring pharmaceutical products in twitter.

Authors:  Clark C Freifeld; John S Brownstein; Christopher M Menone; Wenjie Bao; Ross Filice; Taha Kass-Hout; Nabarun Dasgupta
Journal:  Drug Saf       Date:  2014-05       Impact factor: 5.606

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  7 in total

1.  Rediscovering Don Swanson: the Past, Present and Future of Literature-Based Discovery.

Authors:  Neil R Smalheiser
Journal:  J Data Inf Sci       Date:  2017-12

2.  Combining Literature Mining and Machine Learning for Predicting Biomedical Discoveries.

Authors:  Balu Bhasuran
Journal:  Methods Mol Biol       Date:  2022

Review 3.  Recent advances in biomedical literature mining.

Authors:  Sendong Zhao; Chang Su; Zhiyong Lu; Fei Wang
Journal:  Brief Bioinform       Date:  2021-05-20       Impact factor: 11.622

4.  Indirect association and ranking hypotheses for literature based discovery.

Authors:  Sam Henry; Bridget T McInnes
Journal:  BMC Bioinformatics       Date:  2019-08-15       Impact factor: 3.169

5.  Adverse Drug Reaction Discovery Using a Tumor-Biomarker Knowledge Graph.

Authors:  Meng Wang; Xinyu Ma; Jingwen Si; Hongjia Tang; Haofen Wang; Tunliang Li; Wen Ouyang; Liying Gong; Yongzhong Tang; Xi He; Wei Huang; Xing Liu
Journal:  Front Genet       Date:  2021-01-12       Impact factor: 4.599

6.  Using Literature Based Discovery to Gain Insights Into the Metabolomic Processes of Cardiac Arrest.

Authors:  Sam Henry; D Shanaka Wijesinghe; Aidan Myers; Bridget T McInnes
Journal:  Front Res Metr Anal       Date:  2021-06-25

Review 7.  Literature-based discovery approaches for evidence-based healthcare: a systematic review.

Authors:  Sudha Cheerkoot-Jalim; Kavi Kumar Khedo
Journal:  Health Technol (Berl)       Date:  2021-10-25
  7 in total

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