Literature DB >> 27058606

Cognitive-Enhancing Herbal Formulae in Korean Medicine: Identification of Candidates by Text Mining and Literature Review.

Seung Bin Pae1, Byeong Cheol Yun1, Yoo Kyoung Han1, Byung Tae Choi2, Hwa Kyoung Shin2, Jin Ung Baek1.   

Abstract

OBJECTIVE: The main aims of this study were to identify candidates for cognitive-enhancing herbal formulae from the Korean medicine literature and to obtain preliminary data that experimental and clinical researchers could use to develop new cognitive-enhancing drugs.
METHODS: The authors systematically searched for terms related to cognitive enhancement in Dongui Bogam (or Dongyi Baojian), a seminal Korean medicine book. They also reviewed the existing literature on the effects of candidates for cognitive-enhancing herbal formulae and their main constituents. RESULTS AND
CONCLUSIONS: Twenty-three candidates were selected for cognitive-enhancing herbal formulae and their main constituents. For 14 herbal formulae among the 23 candidates, on average 5.6 published research papers per herbal formula describing cognitive-enhancing effects were found. In addition, some published papers were identified for 5 main constituents most frequently used to make up the 23 candidates.

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Year:  2016        PMID: 27058606     DOI: 10.1089/acm.2015.0257

Source DB:  PubMed          Journal:  J Altern Complement Med        ISSN: 1075-5535            Impact factor:   2.579


  3 in total

1.  Identification of candidate medicinal herbs for skincare via data mining of the classic Donguibogam text on Korean medicine.

Authors:  Gayoung Cho; Hyo-Min Park; Won-Mo Jung; Woong-Seok Cha; Donghun Lee; Younbyoung Chae
Journal:  Integr Med Res       Date:  2020-06-03

2.  An analysis of the combination frequencies of constituent medicinal herbs in prescriptions for the treatment of bone and joint disorder in Korean medicine: determination of a group of candidate prescriptions for universal use.

Authors:  Yoo Kyoung Han; Seo Yul Kim; Jae Young Ahn; Jin Ung Baek
Journal:  Integr Med Res       Date:  2017-09-19

3.  Application of Ferulic Acid for Alzheimer's Disease: Combination of Text Mining and Experimental Validation.

Authors:  Guilin Meng; Xiulin Meng; Xiaoye Ma; Gengping Zhang; Xiaolin Hu; Aiping Jin; Yanxin Zhao; Xueyuan Liu
Journal:  Front Neuroinform       Date:  2018-05-29       Impact factor: 4.081

  3 in total

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