2015
DOI: 10.1155/2015/873185
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Establishment of a Comprehensive List of Candidate Antiaging Medicinal Herb Used in Korean Medicine by Text Mining of the Classical Korean Medical Literature, “Dongeuibogam,” and Preliminary Evaluation of the Antiaging Effects of These Herbs

Abstract: The major objectives of this study were to provide a list of candidate antiaging medicinal herbs that have been widely utilized in Korean medicine and to organize preliminary data for the benefit of experimental and clinical researchers to develop new drug therapies by analyzing previous studies. “Dongeuibogam,” a representative source of the Korean medicine literature, was selected to investigate candidate antiaging medicinal herbs and to identify appropriate terms that describe the specific antiaging effects… Show more

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Cited by 20 publications
(17 citation statements)
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“…Along with the increasing application of clinical trial methodologies for the evaluation of traditional medicines for RA and other diseases, there has been increasing attention to the systematic assessment of the premodern and classical medical literature using text-mining approaches [20]. Such studies have focused on drug discovery from compounds found in the natural products used in traditional medicines [21][22][23]; identification of instances of long-term traditional use of natural products for certain diseases or symptoms [24][25][26][27]; the logic underlying ancient acupuncture prescriptions [28]; and investigations of continuities and differences between the classical and modern Chinese medicine approaches to certain diseases [29,30]. It has been proposed that long-term traditional use could be considered as a source of evidence [31], and a "whole-evidence" approach to evidencebased Chinese medicine could concludes systematic searching of the classical literature as one component [32].…”
Section: Introductionmentioning
confidence: 99%
“…Along with the increasing application of clinical trial methodologies for the evaluation of traditional medicines for RA and other diseases, there has been increasing attention to the systematic assessment of the premodern and classical medical literature using text-mining approaches [20]. Such studies have focused on drug discovery from compounds found in the natural products used in traditional medicines [21][22][23]; identification of instances of long-term traditional use of natural products for certain diseases or symptoms [24][25][26][27]; the logic underlying ancient acupuncture prescriptions [28]; and investigations of continuities and differences between the classical and modern Chinese medicine approaches to certain diseases [29,30]. It has been proposed that long-term traditional use could be considered as a source of evidence [31], and a "whole-evidence" approach to evidencebased Chinese medicine could concludes systematic searching of the classical literature as one component [32].…”
Section: Introductionmentioning
confidence: 99%
“…1 In brief, two steps were used. In the first step, the Dongui Bogam was screened for TCEHFs and CCEHFs and lists were generated.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, previous studies focusing on those antiaging candidates were also reviewed. 1 That article focused only on individual medicinal herbs; the current study includes herbal formulae that enhance cognitive ability as an antiaging effect. Because the category of antiaging effects seemed too comprehensive, this report focuses on herbal formulae that enhance cognition.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, researchers have begun to consult the traditional medicine literature in the search for novel therapeutic strategies [ 5 , 6 ]. Compiled by the Korean royal physician Heo Jun during the 17th century, the Dongui Bogam contains records regarding a number of prescriptions and systematic screening methods that have been applied to both experimental and clinical settings [ 7 , 8 ]. Researchers have suggested that the Pung chapter of the Dongui Bogam contains valuable information regarding herbal combinations that may aid in the development of novel stroke treatments [ 9 ].…”
Section: Introductionmentioning
confidence: 99%