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

Pae, Seung Bin; Yun, Byeong Cheol; Han, Yoo Kyoung; Choi, Byung Tae; Shin, Hwa Kyoung; Baek, Jin Ung

doi:10.1089/acm.2015.0257

Cited by 6 publications

(5 citation statements)

References 30 publications

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“…Step 2—Intervention selection: The most common method used to inform selection of interventions involved positioning the traditional evidence alongside scientific evidence, contemporary texts and/or expert opinion to draw comparisons, validate evidence or develop a ‘totality of evidence’ (Adams et al, 2007, 2011; Adams, Schneider, et al, 2012; Arabshahi et al, 2015; Bae et al, 2019; Buentzel et al, 2020; Chen et al, 2015; Choi et al, 2015; De Vos, 2010; Fatali, Emami, et al, 2020; Fatali, Sadeghpour, et al, 2020; Guo‐Jing et al, 2020; Han et al, 2017; Lardos et al, 2011; Leach et al, 2018; May et al, 2016; Pae et al, 2016; Park et al, 2018; Petran et al, 2020; Sahranavard et al, 2014; Steel & Adams, 2011b; Thomas, 2011; Watkins et al, 2012; Xia et al, 2020; Yang et al, 2019; Zhang et al, 2014). It was also common for selection processes to place importance on TK with greater predominance in traditional sources, such as interventions appearing frequently within or across sources, and those with consistency of use over time as proxy measures for safety and potential efficacy (Alizadeh et al, 2017; Bae et al, 2019; Birch & Sherman, 1999; Buentzel et al, 2020; Chen et al, 2015, 2020; Connelly et al, 2020; De Vos, 2010; Flatt, 2016; Guo‐Jing et al, 2020; Han et al, 2017; Lardos et al, 2011; May et al, 2014; Sahranavard et al, 2014; Steel & Adams, 2011c; Thomas, 2011; Xia et al, 2020; Zhang et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

Criteria for the selection, evaluation and application of traditional knowledge in contemporary health practice, education, research and policy: A systematic review

Foley,

Bugarcic,

Adams

et al. 2023

Health Info Libraries J

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BackgroundTraditional and complementary medicine (T&CM) is highly utilised and draws on traditional knowledge (TK) as evidence, raising a need to explore how TK is currently used.ObjectivesExamine criteria used to select, evaluate and apply TK in contemporary health contexts.MethodsSystematic search utilising academic databases (AMED, CINAHL, MEDLINE, EMBASE, SSCI, ProQuest Dissertations Theses Global), Trip clinical database and Google search engine. Citations and reference lists of included articles were searched. Reported use of TK in contemporary settings was mapped against a modified ‘Exploration‐Preparation‐Implementation‐Sustainment’ (EPIS) implementation framework.ResultsFrom the 54 included articles, EPIS mapping found TK is primarily used in the Exploration phase of implementation (n = 54), with little reporting on Preparation (n = 16), Implementation process (n = 6) or Sustainment (n = 4) of TK implementation. Criteria used in selection, evaluation and application of TK commonly involved validation with other scientific/traditional evidence sources, or assessment of factors influencing knowledge translation.DiscussionOne of the difficulties in validation of TK (as a co‐opted treatment) against other evidence sources is comparing like with like as TK often takes a holistic approach. This complicates further planning and evaluation of implementation.ConclusionThis review identifies important criteria for evaluating current and potential contemporary use of TK, identifying gaps in research and practice for finding, appraising and applying relevant TK studies for clinical care.

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Section: Resultsmentioning

confidence: 99%

Criteria for the selection, evaluation and application of traditional knowledge in contemporary health practice, education, research and policy: A systematic review

Foley,

Bugarcic,

Adams

et al. 2023

Health Info Libraries J

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“… 12 Additionally, 14 of 23 herbs that enhance cognition have been evaluated experimentally and clinically. 9. , 10 In the current study, we found 52 skincare herbs and reviewed the modern literature for reports regarding these herbs.…”

Section: Discussionmentioning

confidence: 99%

“… 7 Recently, computer-aided approaches have been used to study Korean traditional medicine. 8 The analysis of Donguibogam terms led to the discovery of novel candidate cognition-enhancing herbs, 9. , 10 candidate anti-aging herbs, 11 stroke treatments, 12 and prescriptions for Parkinson-type rigidity.…”

Section: Introductionmentioning

confidence: 99%

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

Cho

Park

Jung

et al. 2020

Integrative Medicine Research

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Background Korean cosmetics are widely exported throughout Asia. Cosmetics exploiting traditional Korean medicine lead this trend; thus, the traditional medicinal literature has been invaluable in terms of cosmetic development. We sought candidate medicinal herbs for skincare. Methods We used data mining to investigate associations between medicinal herbs and skin-related keywords (SRKs) in a classical text. We selected 26 SRKs used in the Donguibogam text; these referred to 626 medicinal herbs. Using a term frequency-inverse document frequency approach, we extracted data on herbal characteristics by assessing the co-occurrence frequencies of 52 medicinal herbs and the 26 SRKs. Results We extracted the characteristics of the 52 herbs, each of which exhibited a distinct skin-related action profile. For example Ginseng Radix was associated at a high-level with tonification and anti-aging, but Rehmanniae Radix exhibited a stronger association with anti-aging. Of the 52 herbs, 46 had been subjected to at least one modern study on skincare-related efficacy. Conclusions We made a comprehensive list of candidate medicinal herbs for skincare via data mining a classical medical text. This enhances our understanding of such herbs and will help with discovering new candidate herbs.

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“…These theories render the proposed approach useful in identifying novel relationships between diseases and drugs that have a high probability of being physiologically effective. On the other hand, existing TCM drug mining primarily focuses on the assessment of ancient classic literature, with less analysis of herbal components (May et al, 2014 ; Pae et al, 2016 ), and thus may affect knowledge dissemination. Our study is the first to combine well-known TCM database with text mining approaches.…”

Section: Discussionmentioning

confidence: 99%

Application of Ferulic Acid for Alzheimer’s Disease: Combination of Text Mining and Experimental Validation

Meng

et al. 2018

Front. Neuroinform.

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Alzheimer’s disease (AD) is an increasing concern in human health. Despite significant research, highly effective drugs to treat AD are lacking. The present study describes the text mining process to identify drug candidates from a traditional Chinese medicine (TCM) database, along with associated protein target mechanisms. We carried out text mining to identify literatures that referenced both AD and TCM and focused on identifying compounds and protein targets of interest. After targeting one potential TCM candidate, corresponding protein-protein interaction (PPI) networks were assembled in STRING to decipher the most possible mechanism of action. This was followed by validation using Western blot and co-immunoprecipitation in an AD cell model. The text mining strategy using a vast amount of AD-related literature and the TCM database identified curcumin, whose major component was ferulic acid (FA). This was used as a key candidate compound for further study. Using the top calculated interaction score in STRING, BACE1 and MMP2 were implicated in the activity of FA in AD. Exposure of SHSY5Y-APP cells to FA resulted in the decrease in expression levels of BACE-1 and APP, while the expression of MMP-2 and MMP-9 increased in a dose-dependent manner. This suggests that FA induced BACE1 and MMP2 pathways maybe novel potential mechanisms involved in AD. The text mining of literature and TCM database related to AD suggested FA as a promising TCM ingredient for the treatment of AD. Potential mechanisms interconnected and integrated with Aβ aggregation inhibition and extracellular matrix remodeling underlying the activity of FA were identified using in vitro studies.

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

Cited by 6 publications

References 30 publications

Criteria for the selection, evaluation and application of traditional knowledge in contemporary health practice, education, research and policy: A systematic review

Criteria for the selection, evaluation and application of traditional knowledge in contemporary health practice, education, research and policy: A systematic review

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

Application of Ferulic Acid for Alzheimer’s Disease: Combination of Text Mining and Experimental Validation

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