Identification of quality markers for Cyanotis arachnoidea and analysis of its physiological mechanism based on chemical pattern recognition, network pharmacology, and experimental validation
Open accessAbstract
Cyanotis arachnoidea C. B. Clarke is a traditional Chinese medicinal herb that has a limited clinical use in the treatment of diabetes mellitus (DM) in minority areas of Guizhou in China. However, few prior reports are available on the quality control of Cyanotis arachnoidea , and its quality markers and hypoglycemic mechanism are still unclear. The purpose of this study is to explore the quality markers (Q-markers) of Cyanotis arachnoidea and predict its hypoglycemic mechanism. In this study, ultra-high-performance liquid chromatography (UHPLC) fingerprint combined with chemical pattern recognition were performed, and four differential components were screened out as quality markers, including 20-Hydroxyecdysone, 3- O -acetyl-20-hydroxyecdysone, Ajugasterone C, and 2- O -acetyl-20-hydroxyecdysone. Network pharmacology analysis revealed 107 therapeutic target genes of Cyanotis arachnoidea in DM treatment, and the key targets were Akt1, TNF, IL-6, MAPK3, and JUN. The hypoglycemic mode of action of Cyanotis arachnoidea may be mediated by tumor necrosis factor (TNF) signaling, cancer, insulin resistance, and JAK-STAT pathways. Molecular docking analysis disclosed that the foregoing quality markers effectively bound their key target genes. An in vitro experiment conducted on pancreatic islet β-cells indicated that the forenamed active components of Cyanotis arachnoidea had hypoglycemic efficacy by promoting PI3K/Akt and inhibiting MAPK signaling. UHPLC also accurately quantified the quality markers. The identification and analysis of quality markers for Cyanotis arachnoidea is expected to provide references for the establishment of a quality control evaluation system and clarify the material basis and hypoglycemic mechanisms of this traditional Chinese medicine (TCM).
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Searching for pharmacological targets of ecdysterone-rich Cyanotis arachnoidea extract revealed a network of genes similar to the in vitro and in vivo experiments overviewed here.
“Searching for pharmacological targets of ecdysterone-rich Cyanotis arachnoidea extract revealed a network of genes [92] similar to the in vitro and in vivo experiments overviewed here (Figure 2).”
From Molecular Targets of 20-Hydroxyecdysone in Mammals, Mechanism of Action: Is It a Calorie Restriction Mimetic and Anti-Aging Compound? (2025) · cites this paper as [92]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
DrugBank 5.0: a major update to the DrugBank database for 2018
Wishart, D. S., Feunang, Y. D., Guo, A. C., Lo, E. J., Marcu, A., Grant, J. R., Sajed, T., Johnson, D., Li, C., Sayeeda, Z., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1037 · Cited by 8,404 · see citing works
Szklarczyk, D., Gable, A. L., Nastou, K. C., Lyon, D., Kirsch, R., Pyysalo, S., Doncheva, N. T., Legeay, M., Fang, T., Bork, P., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1074 · Cited by 8,056 · see citing works
UniProt: the universal protein knowledgebase in 2021
The UniProt Consortium, Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Agivetova, R., Ahmad, S., Alpi, E., Bowler-Barnett, E. H., Britto, R., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1100 · Cited by 6,372 · see citing works
The DisGeNET knowledge platform for disease genomics: 2019 update
Piñero, J., Ramírez-Anguita, J. M., Saüch-Pitarch, J., Ronzano, F., Centeno, E., Sanz, F., & Furlong, L. I. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1021 · Cited by 2,639 · see citing works
DAVID-WS: a stateful web service to facilitate gene/protein list analysis
Jiao, X., Sherman, B. T., Huang, D. W., Stephens, R. M., Baseler, M., Lane, H. C., & Lempicki, R. A. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts251 · Cited by 1,066 · see citing works
OMIM.org: leveraging knowledge across phenotype–gene relationships
Amberger, J., Bocchini, C. A., Scott, A., & Hamosh, A. (2018) · Nucleic Acids Res. · doi:10.1093/nar/gky1151 · Cited by 977 · see citing works
BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
Liu, Z., Guo, F., Wang, Y., Li, C., Zhang, X., Li, H., Diao, L., Gu, J., Wang, W., Li, D., et al. (2016) · Scientific Reports · doi:10.1038/srep21146 · Cited by 822 · see citing works
Computer Aided Drug Design: Success and Limitations
Baig, M. H., Ahmad, K., Roy, S., Ashraf, J. M., Adil, M., Siddiqui, M. H., Khan, S. A., Kamal, M. A., Provazník, I., & Choi, I. (2016) · Current Pharmaceutical Design · doi:10.2174/1381612822666151125000550 · Cited by 426 · see citing works
Kitade, H., Sawamoto, K., Nagashimada, M., Inoue, H., Yamamoto, Y., Sai, Y., Takamura, T., Yamamoto, H., Miyamoto, K., Ginsberg, H. N., et al. (2012) · Diabetes · doi:10.2337/db11-1506 · Cited by 292 · see citing works
Burley, S. K., Bhikadiya, C., Bi, C., Bittrich, S., Chen, L., Crichlow, G. V., Duarte, J. M., Dutta, S., Fayazi, M., Feng, Z., et al. (2021) · Protein Science · doi:10.1002/pro.4213 · Cited by 203 · see citing works
Lima, J. E. B. F., Moreira, N. C. S., & Sakamoto-Hojo, E. T. (2022) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2021.503437 · Cited by 203 · see citing works
on behalf of the Diabetes and Cancer Research Consortium, Carstensen, B., Read, S. H., Friis, S., Sund, R., Keskimäki, I., Svensson, A.-M., Ljung, R., Wild, S. H., Kerssens, J. J., et al. (2016) · Diabetologia · doi:10.1007/s00125-016-3884-9 · Cited by 180 · see citing works
Riyaphan, J., Pham, D., Leong, M. K., & Weng, C. (2021) · Biomolecules · doi:10.3390/biom11121877 · Cited by 176 · see citing works
Oliver, E., McGillicuddy, F. C., Phillips, C. M., Toomey, S., & Roche, H. M. (2010) · Proceedings of The Nutrition Society · doi:10.1017/s0029665110000042 · Cited by 136 · see citing works
GeneCaRNA: A Comprehensive Gene-centric Database of Human Non-coding RNAs in the GeneCards Suite.
Barshir, R., Fishilevich, S., Iny-Stein, T., Zelig, O., Mazor, Y., Guan-Golan, Y., Safran, M., & Lancet, D. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.166913 · Cited by 134 · see citing works
Quality transitivity and traceability system of herbal medicine products based on quality markers
Liu, C., Guo, D., & Liu, L. (2018) · Phytomedicine · doi:10.1016/j.phymed.2018.03.006 · Cited by 128 · see citing works
Гу, Ф., Hall, P., & Miles, N. J. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.12.062 · Cited by 93 · see citing works
Li, Z., Zhang, F., Fan, C., et al. (2021) · Phytomedicine · doi:10.1016/j.phymed.2021.153535 · Cited by 93 · see citing works
Bai, G., Zhang, T., Hou, Y., et al. (2018) · Phytomedicine · doi:10.1016/j.phymed.2018.01.017 · Cited by 87 · see citing works
Zhu, W. T., Li, Y., Zhao, J., Wang, Y., Li, Y., & Wang, Y. (2022) · Annals of Medicine · doi:10.1080/07853890.2022.2034931 · Cited by 85 · see citing works
Zheng, S., Chen, N., Kang, X.-J., Hu, Y., & Shi, S. (2021) · Endocrine · doi:10.1007/s12020-021-02875-y · Cited by 69 · see citing works
Current Status of Endoplasmic Reticulum Stress in Type II Diabetes
Mustapha, S., Mohammed, M., Azemi, A. K., Jatau, A. I., Shehu, A., Mustapha, L., Aliyu, I. M., Danraka, R. N., Amin, A., Bala, A. A., et al. (2021) · Molecules · doi:10.3390/molecules26144362 · Cited by 57 · see citing works
Li, X., Sui, Y., Li, S., Xie, B., & Sun, Z. (2016) · Journal of Functional Foods · doi:10.1016/j.jff.2016.08.010 · Cited by 56 · see citing works
Hu, X., Tian, A., Liu, T., Longyan, Z., Weijian, B., & Jiao, G. (2019) · Phytotherapy Research · doi:10.1002/ptr.6358 · Cited by 56 · see citing works
Xu, X., Niu, L., Liu, Y., et al. (2020) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.113129 · Cited by 38 · see citing works
Self-citationKaur, P., & Khatik, G. L. (2020) · Current Drug Targets · doi:10.2174/1389450121666201119141525 · Cited by 35 · see citing works
Pan, H., Xi, Z., Wei, X., & Wang, K. (2022) · Annals of Medicine · doi:10.1080/07853890.2022.2031268 · Cited by 35 · see citing works
Lim, H.-S., Moon, B. C., Lee, J., Choi, G., & Park, G. (2020) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2020.07.010 · Cited by 30 · see citing works
Nitric Oxide and ERK mediates regulation of cellular processes by Ecdysterone
Omanakuttan, A., Bose, C., Nanjan, P., Kumar, G. B., Banerji, A., & Nair, B. G. (2016) · Experimental Cell Research · doi:10.1016/j.yexcr.2016.07.019 · Cited by 28 · see citing works
Tang, Y., Mo, Y., Xin, D., Zeng, L., Yue, Z., & Xu, C. (2020) · PubMed Central · Cited by 27 · see citing works
Proapoptotic and proautophagic activity of 20-hydroxyecdysone in breast cancer cells in vitro
Romaniuk-Drapała, A., Lisiak, N., Totoń, E., Matysiak, A., Nawrot, J., Nowak, G., Kaczmarek, M., Rybczyńska, M., & Rubiś, B. (2021) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2021.109479 · Cited by 27 · see citing works
Qin, L., Yu, M., Zhang, H., et al. (2022) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2022.114968 · Cited by 26 · see citing works
Prediction of quality markers of traditional Chinese medicines based on network pharmacology
Wang, Y., Cui, T., Li, Y.-Z., et al. (2019) · Chinese Herbal Medicines · doi:10.1016/j.chmed.2019.08.003 · Cited by 25 · see citing works
Aswal, S., Kumar, A., Chauhan, A., Semwal, R. B., Kumar, A., & Semwal, D. K. (2019) · Current Diabetes Reviews · doi:10.2174/1573399815666191004112023 · Cited by 24 · see citing works
Yu, Y., Zhu, Z., Xie, M., Deng, L., Xie, X., & Zhang, M. (2021) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2021.114800 · Cited by 22 · see citing works
Pan, M., Su, Y. F., Liu, X. J., et al. (2022) · Phytochemical Analysis · doi:10.1002/pca.3104 · Cited by 20 · see citing works
Chen, L., Zheng, S., Huang, M. N., Ma, X., Yang, J., Deng, S., Huang, Y., Wen, Y., & Yang, X. (2017) · Journal of Functional Foods · doi:10.1016/j.jff.2017.09.061 · Cited by 19 · see citing works
Gu, Y., Yang, X., Shang, C., Thao, T. T. P., & Koyama, T. (2021) · Food & Function · doi:10.1039/d1fo00887k · Cited by 19 · see citing works
Zhao, C., Liu, H., Miao, P., et al. (2019) · Molecules · doi:10.3390/molecules24091811 · Cited by 18 · see citing works
Jiang, M., Cao, J., Zhang, C., et al. (2021) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2021.114556 · Cited by 17 · see citing works
Baev, A. Y., Charishnikova, O. S., Khasanov, F. A., Nebesnaya, K. S., Makhmudov, A. R., Rakhmedova, M. T., Khushbaktova, Z. A., Syrov, V. N., & Levitskaya, Y. V. (2022) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2022.106066 · Cited by 16 · see citing works
Takahashi, P., Xavier, D. J., Lima, J. E. B. D. F., Evangelista, A. F., Collares, C. V. A., Foss‐Freitas, M. C., Rassi, D. M., Donadi, E. A., Passos, G. A. S., & Sakamoto‐Hojo, E. T. (2022) · Journal of Diabetes Research · doi:10.1155/2022/3511329 · Cited by 15 · see citing works
Li, T., Yang, W., Song, T., et al. (2021) · Phytochemical Analysis · doi:10.1002/pca.3055 · Cited by 14 · see citing works
Marschall, M. J. M., Ringseis, R., Gessner, D. K., Grundmann, S. M., Most, E., Wen, G., Maheshwari, G., Zorn, H., & Eder, K. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105241 · Cited by 13 · see citing works
A new phytosterone from Cyanotis arachnoidea
Tan, C., Wang, J., Zhang, H., & Li, X. (2002) · Journal of Asian Natural Products Research · doi:10.1080/10286020290019631 · Cited by 12 · see citing works
Hu, H., Peng, L., Jiang, H., Shen, H., Zhou, P., & Gao, Y. (2019) · Journal of Cellular Biochemistry · doi:10.1002/jcb.28526 · Cited by 7 · see citing works
[Prediction of Q-markers of Astragali Radix based on network pharmacology and fingerprint].
Zhang, S., Zhang, Y., Li, D., et al. (2021) · PubMed · doi:10.19540/j.cnki.cjcmm.20200925.201 · Cited by 4 · see citing works
Jiang, J.-L., Kang, A., Li, Q., et al. (2022) · PubMed · doi:10.19540/j.cnki.cjcmm.20210901.201 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Bu YH Zhang XD Guo WS Determination of ecdysterone in Cyanotis arachnoidea capsules by HPLC Chinese Traditional Patent Medicine 2013 35 10 2301 2302 10.3969/j.issn.1001-1528.2013.10.058 · DOI
- Chen Q Xia YP Qiu ZY Effect of ecdysterone on insulin sensitivity and glucose metabolism in insulin-resistant cell model Chinese Pharmacological Bulletin 2006 22 4 460 464 10.3321/j.issn:1001-1978.2006.04.018 · DOI
Cited by
Sorted by citations
Zádor, E. (2025) · Cells · doi:10.3390/cells14060431 · Cited by 9 · see citing works
“Searching for pharmacological targets of ecdysterone-rich Cyanotis arachnoidea extract revealed a network of genes [92] similar to the in vitro and in vivo experiments overviewed here (Figure 2).”
- Authors
- Hu, J., Feng, Y., Li, B., Wang, F., Qian, Q., Tian, W., Niu, L., & Wang, X.
- Affiliations
- Hebei University of Chinese Medicine (CN)
- Corresponding author
- Niu, Liying
- Wang, Xinguo
- Venue
- PeerJ
- Publisher
- PeerJ
- Published
- 2023-09-11
- Volume
- 11
- Pages
- e15948
- ISSN
- 2167-8359 (ISSN-L)
- PMC
- PMC10501370
- OpenAlex
- W4386605283
- Cited by
- 6
- References
- 48
- Citations by year
- 2026: 3 · 2025: 3
- FWCI
- 1.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PeerJ (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Hebei Provincial Key Research and Development Projects (23372502D)
- Natural Science Foundation of Hebei Province (H2022423335)
- Topics
- Health Sciences › Medicine › Complementary and alternative medicine › Traditional Chinese Medicine Analysis
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Natural Antidiabetic Agents Studies
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Phytochemistry and Biological Activities
- Keywords
- Cyanotis arachnoidea, quality markers, quality control, hypoglycemic mechanism, diabetes mellitus, 20-hydroxyecdysone, chemical pattern recognition, network pharmacology, therapeutic target genes, TNF signaling, JAK/STAT signaling, PI3K/Akt signaling, MAPK signaling, insulin resistance, pancreatic beta cells, traditional Chinese medicine
- MeSH terms
- Network Pharmacology, Ecdysterone, Hypoglycemic Agents, Phosphatidylinositol 3-Kinases, Commelinaceae, Molecular Docking Simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review