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TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine

Abstract

Background

In traditional medicine, there has been a great deal of research on the effects exhibited by medicinal materials. To study the effects, resources that can systematically describe the chemical compounds in medicinal materials are necessary. In recent years, numerous databases on medicinal materials and constituent compounds have been constructed. However, because these databases provide differing information and the sources of such information are unclear or difficult to verify, it is difficult to decide which database to use. Moreover, there is much overlapping information. The aim of this study was to construct a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine (TM-MC), for which medicinal materials are listed in the Korean, Chinese, and Japanese pharmacopoeias and information on the compound names of medicinal materials can easily be confirmed online.

Description

To provide information on the chemical compounds of medicinal materials, chromatography articles from MEDLINE and PubMed Central were searched. After chemical compounds of medicinal materials were extracted by manually investigating the full-text of articles, a database of information on about 14,000 compounds from 536 medicinal materials was built. The database also provides links to the articles from which each medicinal material and chemical compound were extracted.

Conclusion

TM-MC database provides information on medicinal materials and their chemical compounds from chromatography articles in MEDLINE and PubMed Central. Researchers can easily check relevant information through the links to articles.

Peer Review reports

Background

In the field of traditional medicine in Northeast Asia, several medicinal material databases including information on both medicinal materials and their chemical compounds have been constructed from records in the classical literature or from the results of modern research.

The traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) [1] contains information on 499 herbs with 29,384 ingredients, 3311 targets, and 837 associated diseases. The herbal ingredients were gathered during an extensive literature search, but it is not clear which works from the literature were used. The traditional Chinese medicines integrated database (TCMID) [2] provides TCM information for 46,914 formulas, 8159 herbs and 25,210 herbal ingredients and information linking them with modern medicine, including drugs and diseases. Information about the herbs and herbal ingredients was extracted from the TCM-ID [3], TCM@Taiwan [4], and a book called the Encyclopedia of traditional Chinese medicines [5]. The traditional Chinese medical literature analysis and retrieval system (TCMLARS) [6] provides search and analysis functions for biomedical journal articles published in China. It has metadata such as titles, authors, and abstracts of articles, as in MEDLINE, and includes information on the pharmacology and compatibility of TCM herbs. TCM online [7] is a database constructed by the information institute of the TCM academy, which provides integrated access to databases of patient records, TCM medicines, traditional Chinese drugs, TCM literature, and traditional Tibetan drugs. TCMLARS and TCM online provide information on chemical compounds for medicinal materials, but the sources of the information are not clear. The chemical database of traditional Chinese medicine (CHEM-TCM) [8] is comprised of two databases. One is a database providing information on 8264 chemical constituents from the 240 medicinal materials most commonly used in China. The other is a database on the target specificity of bioactive plant compounds. The former, in particular, relies on the extraction of data from several books [913]. The traditional Chinese medicine database (TCMD) [14] was constructed from a book [11] that includes information on Chinese medicines, original plants, and bioactive compounds. It provides details of 6800 molecular compounds isolated from more than 1540 species of natural plants used in TCM, as well as source plants, herbs, animals, and fungi. The 3D structural database [15, 16] includes information on biochemical components extracted from medicinal materials in TCM. The database contains records for 2073 TCM herbs from 298 families and 10,564 records of herbal components. It also includes optimized 3D molecular structures for at least 90 % of the components. Approximately 80 % of the records are from a survey of the literature published since 1980. The traditional oriental medicine database (TradiMed) [17] contains information on medicinal materials and formulas, including chemical compounds, disease classifications and clinical case studies, but the sources of the information are not clear.

Besides traditional medicine databases in the Northeast Asian region, there are many databases for traditional medicine in the world, such as NuBBE [18], CamMedNP [19], ConMedNP [20], AfroDb [21], p-ANAPL [22], AfroCancer [23], NPACT [24], and BioPhytMol [25]; these databases are open to the public for use. These are databases of natural products derived from plants that grow naturally in relevant regions. NuBBE is a database of medicinal plants in Brazil; CamMedNP, ConMedNP, AfroDb, p-ANAPL, and AfcroCancer contain information on medicinal plants in Africa. Further, NPACT and BioPhytMol are databases for anti-cancer natural products and anti-mycobacterial natural products, respectively. The world has a great diversity of species, and it is common that the same plant will have different scientific names and lists of constituent compounds depending on the region in which it grows. Therefore, the contents of these databases are quite different from those in Northeast Asia.

There is thus a great deal of data on medicinal materials and their chemical compounds in the medicinal material or natural product databases in the world. However, there are several obstacles to using the existing databases to obtain information on traditional medicinal materials used in Northeast Asia. First of all, most of the existing natural product databases either do not provide information on the medicinal materials of Northeast Asia [1823], or do so without separately categorizing such information [24, 25]. In the meantime, while the medicinal material databases of the Northeast Asian region provide information on the medicinal materials of Northeast Asia and their chemical compounds, there are three difficulties to making use of the information as well.

First, because medicinal material databases provide differing information on the constituent compounds of medicinal materials, database users must compare information from each database and select the database to be used. However, it is difficult to decide which database to use because sources of the information are unclear or difficult to verify. TCMSP, TCMLARS, TCM online, and TradiMed do not state the sources from which they gathered their information. TCMID, CHEM-TCM, TCMD and the 3D structural database extracted data from published books, but it is not convenient for users of such databases to confirm their sources. Second, TCMLARS, CHEM-TCM, TCMD, the 3D structural database, and TradiMed are not available to the public. Third, there is much overlapping information about the various medicinal materials in these databases. Some databases (e.g., TCMID, TCMD, and the 3D structural database) provide information on over 1000 medicinal materials, but do not distinguish synonyms for certain medicinal materials. In fact, the total number of unique medicinal materials included in the Korean, Chinese, and Japanese government-published pharmacopeias actually came to fewer than 1000.

The aim of this study was to construct a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine (TM-MC), for which medicinal materials are listed in the three Northeast Asia national pharmacopoeias, and for which information on the compound names of medicinal materials can easily be confirmed in PubMed online. To achieve this goal, we searched chromatography articles from MEDLINE and PubMed Central (PMC) for medicinal plant materials. Korean medical doctors and biologists manually extracted information on the chemical compounds of medicinal materials by reading full-texts of the journal articles.

Construction and content

Information on medicinal materials and their chemical compounds was extracted from biomedical articles contained in MEDLINE and PMC. MEDLINE is a journal citation database provided by the National Library of Medicine (NLM) and contains about 24 million abstracts for biomedical journal articles. PMC is a free digital database for about 3.1 million full-text biomedical journal articles provided by NLM. Abstracts from MEDLINE journal articles were obtained using Entrez programming utilities (http://www.ncbi.nlm.nih.gov/books/NBK25500), and the journal articles from the PMC were downloaded from (http://www.ncbi.nlm.nih.gov/pmc/tools/ftp). In this study, the curated journal articles were downloaded on December 27, 2014.

A single medicinal material can be called by various names. Despite the existence of binomial nomenclature, which is a formal system for giving names to species of living things, each country or community has its own collection of common names. In order to obtain objectively proven names of medicinal materials in our database, we used Latin names, common names, and scientific names of medicinal materials included in the Korean, Chinese, and Japanese pharmacopoeia. After excluding minerals and animals from the medicinal materials mentioned in the three pharmacopoeias, only medicinal plant materials were used for the searches in MEDLINE and PMC.

Figure 1 shows the overall process for constructing our TM-MC database. First, we constructed an article database with the XML corpus of MEDLINE and PMC. After texts were extracted from the titles, abstracts, and bodies of the articles in the corpus, they were indexed using Apache Lucene [26] and then stored in the article database. Articles containing medicinal materials were searched with the names of medicinal materials. Among the searched articles, chromatography articles were filtered with the following words: “chromatograph”, “CCC”, “CEC”, “CMC”, “FPLC”, “GC/MS”, “GC-MS”, “GLC”, “GPC”, “HPLC”, “IMAC”, “LC/MS”, “LC-MS”, “MEEKC”, “MEKC”, “NPLC”, “PGC”, “RPC”, “RPLC”, “RSLC”, “SEC”, “SFC”, “SMBC”, “TLC”, “TMBC”, “UFLC”, and “UPLC”. Finally, Korean medical doctors and biologists read these articles in PubMed and manually extracted information on the constituent compounds of the medicinal materials. If there was a link to full-text content from PMC or publisher web sites, the full-text was also perused. Some of these articles included chromatograms but not others. Those that did not include chromatograms were either in the form of abstracts or cited articles with chromatograms as references. It should be noted that there were some cases in which authors used different names for the same compound. If the articles contained the chemical structure or the chromatogram, readers were able to determine whether the two compounds were the same. However, distinguishing between two compounds was difficult when the articles made references by name only. In addition, it was not easy to decide which of the names to use in standardization. In this paper, because a basis for standardizing compound names was lacking, the names were retrieved as they were used in existing studies, despite the possibility of repetition.

Fig. 1
figure 1

Process for constructing the TM-MC database

Utility and discussion

After information on the compound names of medicinal materials was extracted from about 4000 journal articles in MEDLINE and PMC, about 14,000 chemical compounds from 536 medicinal materials were identified. All data can now be searched or downloaded at <http://informatics.kiom.re.kr/compound>. The information on the chemical compounds of all medicinal materials in our database is linked to the articles from which the compound names have been extracted, and users can easily obtain the relevant information through these links. In general, articles can contain inaccurate information. Though these links, researchers can verify whether the information is accurate. In addition, it is also possible to verify the data quality of our database.

Web interface

All information on medicinal materials and chemical compounds that was compiled in the present study are listed on the “Browse” menu on our website. This menu is divided into tabs so that it is possible to see all the information contained on the database. Detailed information can be seen in a new window by clicking on the “More detail” link to the right of each item.

In addition to viewing lists of all the medicinal materials and chemical compounds, users can also directly search the information using the “Search” menu. When search terms are entered in the search field at the top, a maximum of ten medicinal materials and chemical compounds that include the search terms entered are recommended, thus making searching convenient. The search results are shown at the bottom, with the medicinal materials and chemical compounds separated by tabs, together with the number of search results. Figure 2 provides an example of a search for a medicinal material called “Ephedra herba”. The name of the medicinal material is shown in the form of the “Latin Name (common name), [Korean name, Chinese name]” in the medicinal material tab, and pictures, scientific names, effects, treatments, and constituent compounds are under the name of the medicinal material. Additional details such as scientific names and information on effects and treatments comes from the medicinal material ontology built by Jang et al. [27]. Compared to other databases [1, 2, 68, 14, 15, 17], this additional information is not yet sufficient, such that users might need to search other databases at the present time. In the future, we will update our database to provide more comprehensive information on medicinal materials. A link to the NCBI Taxonomy (http://www.ncbi.nlm.nih.gov/taxonomy) is next to the scientific name, thus allowing users to obtain additional information on the plant species of the medicinal material. When a chemical compound is clicked, the name of that compound is searched again. Next to the name of the chemical compound, links to compounds in PubChem and ChemSpider, and to PubMed articles from which both the medicinal material and its chemical compound have been extracted are displayed.

Fig. 2
figure 2

Result of search for the keyword “Ephedrae Herba”

Figure 3 shows an example of a search for a chemical compound called “ginsenoside Rg1.” In the chemical compound tab, a list of chemical compounds including the one being searched is shown. Next to the name of each chemical compound are links to PubChem and ChemSpider, to a list of medicinal materials with the chemical compound as a constituent compound, and to PubMed papers from which information on the chemical compounds of the medicinal materials has been extracted. As in the medicinal material tab, clicking on a medicinal material prompts another search for the name of that medicinal material.

Fig. 3
figure 3

Result of search for the keyword “ginsenoside Rg1”

Downloading the database contents

All the information on the compound names of the medicinal materials can be downloaded as an ontology file, written in the Web Ontology Language (OWL) using the RDF/XML syntax, from the “Download” menu on our site. Many of medicinal materials in our study are identical to the medicinal materials included in the medicinal material ontology built by Jang et al. Therefore, the medicinal materials in our study and those in the study of Jang et al. are connected by the “sameAs” relationship of OWL. Figure 4 shows a part of a Resource Description Framework (RDF) graph for the Ephedra Herb in our ontology. Blue oval nodes represent objects, and green oval nodes denote data values. The rectangular shapes show the class names of the nodes.

Fig. 4
figure 4

Example of a RDF graph for the Ephedra Herb in the ontology

In addition, the contents of our database can be downloaded as a single Excel file. As Excel is a program that many users feel familiar with, users will be able to access and utilize the contents of our database more easily.

Additional chemical information

In many articles, only compound names are presented and their chemical structures are not available. To help users obtain the chemical information, including the synonyms, molecular formulas, and chemical structures of compounds, we link the compound names with the compound IDs of the PubChem Compound database [28]. The links were created using a filtered list of synonyms from the PubChem Compound database. (ftp://ftp.ncbi.nlm.nih.gov/pubchem/Compound/Extras/CID-Synonym-filtered.gz) We also provide the ChemSpider IDs as a query result of the ChemSpider Search API with the compound name. (http://www.chemspider.com/Search.asmx?op=SimpleSearch) Users can obtain additional information on chemical compounds through these links. Because a single compound name can be connected to several PubChem and ChemSpider IDs, each compound name has at least 0 or more links. In the current database, many compound names are not linked to compounds in the PubChem or ChemSpider database. They are either not registered in either PubChem or ChemSpider or are registered under different names despite being the same compound. In the future, links will be created by adding synonyms to the relevant compounds in the PubChem or ChemSpider database.

Database updates and future plans

Our database contains information on the constituent compounds of medicinal materials extracted from articles on MEDLINE and PMC, for which general research involved the use of the chromatographic method. The chromatographic method is the general method for separating mixtures. When studies using this method were curated, it was found that our database provided information on the constituent compounds of the largest number of medicinal materials, with the exception of databases that provide overlapping information. However, to perfect our database, it will be necessary to consider a different screening method or to review all articles containing medicinal materials.

Unlike the number of medicinal materials, the number of chemical compounds currently on our database is smaller than those on other databases. This is because other databases extracted constituent compounds from books or academic papers published in Chinese. However, such data were not included in the construction of our database due to issues such as accessibility and language. Moreover, other databases do not provide information on chemical compounds extracted from recently published articles because they extracted data from books published at the latest several years ago. On the contrary, our database has the advantage of providing information on the chemical compounds of medicinal materials from the latest articles. In addition, through links to PubMed articles, our database allows users to verify their quantitative analyses of the constituent compounds of medicinal materials. Although our database currently provides only links, it will in the future provide all information on chemical compounds.

In the future, our database will periodically curate articles added to the MEDLINE and PMC database, thus updating information on the constituent compounds of medicinal materials. In addition, our database will consider other screening methods step by step, thus providing information on even more medicinal materials and constituent compounds.

Conclusions

Our TM-MC database provides information on medicinal materials and their chemical compounds and links to articles from which information on both medicinal materials and constituent compounds were extracted. Use of this database makes it possible for researchers to determine what constituent compounds a medicinal material contains, and allows them to easily check relevant information through links to articles and other databases.

Availability and requirements

The database is accessible at http://informatics.kiom.re.kr/compound. The database is open access and has no restrictions.

Abbreviations

CCC:

Countercurrent chromatography

CEC:

Capillary electro chromatography

CMC:

Cell membrane chromatography

FPLC:

Fast protein liquid chromatography

GC:

Gas chromatography

GLC:

Gas liquid chromatography

GPC:

Gel permeation chromatography

HPLC:

High performance liquid chromatography

IMAC:

Immobilized metal affinity chromatography

MEEKC:

Microemulsion electrokinetic chromatography

MEKC:

Micellar electrokinetic capillary chromatography

MS:

Mass spectrometry

NLM:

National Library of Medicine

NPLC:

Normal phase liquid chromatography

OWL:

Web Ontology Language

PGC:

Pyrolysis gas chromatography

PMC:

PubMed Central

RDF:

Resource Description Framework

RPC:

Reversed-phase chromatography

RPLC:

Reversed phase liquid chromatography

RSLC:

Rapid separation liquid chromatography

SEC:

Size exclusion chromatography

SFC:

Capillary supercritical fluid chromatography

SMBC:

Simulated moving bed chromatography

TLC:

Thin layer chromatography

TMBC:

True moving bed chromatography

TM-MC:

Database of medicinal materials and chemical compounds in Northeast Asian traditional medicine

UFLC:

Ultra fast liquid chromatography

UPLC:

Ultra performance liquid chromatography

References

  1. Ru J, Li P, Wang J, Zhou W, Li B, Huang C, et al. TCMSP: a database of systems pharmacology for drug discovery from herbal medicines. J Cheminform. 2014;6:13.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Xue R, Fang Z, Zhang M, Yi Z, Wen C, Shi T. TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis. Nucleic Acids Res. 2013;41:D1089–1095.

    Article  CAS  PubMed  Google Scholar 

  3. Chen X, Zhou H, Liu YB, Wang JF, Li H, Ung CY, et al. Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation. Br J Pharmacol. 2006;149(8):1092–103.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Chen CY. TCM Database@Taiwan: the world's largest traditional Chinese medicine database for drug screening in silico. PLoS One. 2011;6(1), e15939.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Zhou J, Xie G, Yan X. Encyclopedia of traditional Chinese medicines molecular structures, pharmacological activities, natural sources and applications, vol. 6. New York: Springer; 2011.

    Book  Google Scholar 

  6. Feng Y, Wu Z, Zhou X, Zhou Z, Fan W. Knowledge discovery in traditional Chinese medicine: state of the art and perspectives. Artif Intell Med. 2006;38(3):219–36.

    Article  PubMed  Google Scholar 

  7. Lukman S, He Y, Hui SC. Computational methods for Traditional Chinese Medicine: a survey. Comput Methods Programs Biomed. 2007;88(3):283–94.

    Article  PubMed  Google Scholar 

  8. Ehrman TM, Barlow DJ, Hylands PJ. Phytochemical databases of Chinese herbal constituents and bioactive plant compounds with known target specificities. J Chem Inf Model. 2007;47(2):254–63.

    Article  CAS  PubMed  Google Scholar 

  9. Hsu HY, Chen YP, Hong M. The chemical constituents of oriental herbs. Taiwan: Oriental Healing Arts Institute; 1982.

    Google Scholar 

  10. Zhu Y-P. Chinese materia medica: chemistry, pharmacology and applications. Amsterdam, Netherlands: Harwood Academic; 1998.

    Google Scholar 

  11. Yan X, Milne GWA, Zhou J, Xie G. Traditional Chinese medicines: molecular structures, natural sources, and applications. Aldershot: Ashgate; 1999.

    Google Scholar 

  12. Duke JA. Handbook of phytochemical constituents of GRAS herbs and other economic plants. Boca Raton: CRC Press; 2001.

    Google Scholar 

  13. Buckingham J. Dictionary of natural products. New York: Chapman & Hall; 1994.

    Google Scholar 

  14. He M, Yan X, Zhou J, Xie G. Traditional Chinese medicine database and application on the Web. J Chem Inf Comput Sci. 2001;41(2):273–7.

    Article  CAS  PubMed  Google Scholar 

  15. Qiao XB, Hou TJ, Yu HD, Xu XJ. Research and development of traditional Chinese medicine drugs information system based on networks. Acta Physico-Chimica Sinica. 2002;18(5):394–8.

    CAS  Google Scholar 

  16. Qiao XB, Hou TJ, Zhang W, Guo SL, Xu SJ. A 3D structure database of components from Chinese traditional medicinal herbs. J Chem Inf Comput Sci. 2002;42(3):481–9.

    Article  CAS  PubMed  Google Scholar 

  17. Chang IM. Anti-aging and health-promoting constituents derived from traditional oriental herbal remedies: information retrieval using the TradiMed 2000 DB. Ann N Y Acad Sci. 2001;928:281–6.

    Article  CAS  PubMed  Google Scholar 

  18. Valli M, dos Santos RN, Figueira LD, Nakajima CH, Castro-Gamboa I, Andricopulo AD, et al. Development of a natural products database from the biodiversity of Brazil. J Nat Prod. 2013;76(3):439–44.

    Article  CAS  PubMed  Google Scholar 

  19. Ntie-Kang F, Mbah JA, Mbaze LM, Lifongo LL, Scharfe M, Hanna JN, et al. CamMedNP: building the Cameroonian 3D structural natural products database for virtual screening. BMC Complement Altern Med. 2013;13:88.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Ntie-Kang F, Onguene PA, Scharfe M, Owono LCO, Megnassan E, Mbaze LM, et al. ConMedNP: a natural product library from Central African medicinal plants for drug discovery. Rsc Advances. 2014;4(1):409–19.

    Article  CAS  Google Scholar 

  21. Ntie-Kang F, Zofou D, Babiaka SB, Meudom R, Scharfe M, Lifongo LL, et al. A select highly potent and diverse natural product library from African medicinal plants. Plos One. 2013;8(10):e78085.

  22. Ntie-Kang F, Amoa Onguene P, Fotso GW, Andrae-Marobela K, Bezabih M, Ndom JC, et al. Virtualizing the p-ANAPL library: a step towards drug discovery from African medicinal plants. PLoS One. 2014;9(3), e90655.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Ntie-Kang F, Nwodo JN, Ibezim A, Simoben CV, Karaman B, Ngwa VF, et al. Molecular modeling of potential anticancer agents from African medicinal plants. J Chem Inf Model. 2014;54(9):2433–50.

    Article  CAS  PubMed  Google Scholar 

  24. Mangal M, Sagar P, Singh H, Raghava GP, Agarwal SM. NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database. Nucleic Acids Res. 2013;41:D1124–1129.

    Article  CAS  PubMed  Google Scholar 

  25. Sharma A, Dutta P, Sharma M, Rajput NK, Dodiya B, Georrge JJ, et al. BioPhytMol: a drug discovery community resource on anti-mycobacterial phytomolecules and plant extracts. J Cheminformatics. 2014;6.

  26. McCandless M, Hatcher E, Gospodnetić O, Gospodnetić O. Lucene in action. 2nd ed. Manning: Greenwich; 2010.

    Google Scholar 

  27. Jang H, Kim J, Kim SK, Kim C, Bae SH, Kim A, et al. Ontology for medicinal materials based on traditional Korean medicine. Bioinformatics. 2010;26(18):2359–60.

    Article  CAS  PubMed  Google Scholar 

  28. Wang Y, Xiao J, Suzek TO, Zhang J, Wang J, Bryant SH. PubChem: a public information system for analyzing bioactivities of small molecules. Nucleic Acids Res. 2009;37:W623–633.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This work was supported by the Korea Institute of Oriental Medicine [grant number K15512] and the Ministry of Science, ICT and Future Planning [grant number NRF-2014M3A9A5034157]. Funding for open access charge: Korea Institute of Oriental Medicine/K15512.

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Correspondence to Jeong-Ju Lee.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

SK, SN, AK, HJ, and JL conceived the idea. SK and SN participated in the data collection and the system implementation. SK, AK, and JL participated in the data analysis and curation. HJ contributed in the OWL generation. SK wrote the first draft of the paper and SK, SN, and JL revised the final version. All authors read and approved the final manuscript.

Sang-Kyun Kim and SeJin Nam contributed equally to this work.

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Kim, SK., Nam, S., Jang, H. et al. TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine. BMC Complement Altern Med 15, 218 (2015). https://doi.org/10.1186/s12906-015-0758-5

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